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[September-2021]Braindump2go New AZ-900 PDF and VCE Dumps Free Share(Q294-Q306)

QUESTION 294
What should you use to evaluate whether your company's Azure environment meets regulatory requirements?

A.Azure Security Center
B.Azure Advisor
C.Azure Service Health
D.Azure Knowledge Center

Answer: A

QUESTION 295
You have an azure virtual machine named VM1.
You plan to encrypt VM1 by using Azure Disk Encryption.
Which Azure resource must you create first?

A.An Azure Storage account
B.An Azure Information Protection policy
C.An Encryption Key
D.An Azure Key Vault

Answer: D

QUESTION 296
You need to be notified when Microsoft plans to perform maintenance that can affect the resources deployed to an Azure subscription.
What should you use?

A.Azure Monitor
B.Azure Service Health
C.Azure Advisor
D.Microsoft Trust Center

Answer: B

QUESTION 297
What can you use to identify underutilized or unused Azure virtual machines?

A.Azure Advisor
B.Azure Cost Management + Billing
C.Azure reservations
D.Azure Policy

Answer: A

QUESTION 298
Your company has an Azure subscription that contains resources in several regions.
You need to ensure that administrators can only create resources in those regions.
What should you use?

A.a read-only lock
B.an Azure policy
C.a management group
D.a reservation

Answer: B

QUESTION 299
Your company has a Software Assurance agreement that includes Microsoft SQL Server licenses.
You plan to deploy SQL Server on Azure virtual machines.
What should you do to minimize licensing costs for the deployment?

A.Deallocate the virtual machines during off hours.
B.Use Azure Hybrid Benefit.
C.Configure Azure Cost Management budgets.
D.Use Azure reservations.

Answer: B

QUESTION 300
Who can use the Azure Total Cost of Ownership (TCO) calculator?

A.billing readers for an Azure subscription only
B.owners for an Azure subscription only
C.anyone
D.all users who have an account in Azure Active Directory (Azure AD) that is linked to an Azure subscription only

Answer: C

QUESTION 301
Hotspot Question
For each of the following statements, select Yes if the statement is true, Otherwise, select No.
NOTE: Each correct match is worth one point.
Answer:

QUESTION 302
Hotspot Question
To complete the sentence, select the appropriate option in the answer area.
Answer:

QUESTION 303
Drag and Drop Question
Match the term to the appropriate description.
To answer, drag the appropriate term from the column on the left to its description on the right. Each term may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Answer:

QUESTION 304
Hotspot Question
To complete the sentence, select the appropriate option in the answer area.
Answer:

QUESTION 305
Hotspot Question
For each of the following statements, select Yes if the statement is true, Otherwise, select No.
NOTE: Each correct match is worth one point.
Answer:

QUESTION 306
Drag and Drop Question
Match the cloud computing benefits to the correct descriptions.
To answer, drag the appropriate service from the column on the left to its description on the right. Each service may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point
Answer:
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[October-2021]New Braindump2go MLS-C01 PDF and VCE Dumps[Q158-Q171]
QUESTION 158 A company needs to quickly make sense of a large amount of data and gain insight from it. The data is in different formats, the schemas change frequently, and new data sources are added regularly. The company wants to use AWS services to explore multiple data sources, suggest schemas, and enrich and transform the data. The solution should require the least possible coding effort for the data flows and the least possible infrastructure management. Which combination of AWS services will meet these requirements? A.Amazon EMR for data discovery, enrichment, and transformation Amazon Athena for querying and analyzing the results in Amazon S3 using standard SQL Amazon QuickSight for reporting and getting insights B.Amazon Kinesis Data Analytics for data ingestion Amazon EMR for data discovery, enrichment, and transformation Amazon Redshift for querying and analyzing the results in Amazon S3 C.AWS Glue for data discovery, enrichment, and transformation Amazon Athena for querying and analyzing the results in Amazon S3 using standard SQL Amazon QuickSight for reporting and getting insights D.AWS Data Pipeline for data transfer AWS Step Functions for orchestrating AWS Lambda jobs for data discovery, enrichment, and transformation Amazon Athena for querying and analyzing the results in Amazon S3 using standard SQL Amazon QuickSight for reporting and getting insights Answer: A QUESTION 159 A company is converting a large number of unstructured paper receipts into images. The company wants to create a model based on natural language processing (NLP) to find relevant entities such as date, location, and notes, as well as some custom entities such as receipt numbers. The company is using optical character recognition (OCR) to extract text for data labeling. However, documents are in different structures and formats, and the company is facing challenges with setting up the manual workflows for each document type. Additionally, the company trained a named entity recognition (NER) model for custom entity detection using a small sample size. This model has a very low confidence score and will require retraining with a large dataset. Which solution for text extraction and entity detection will require the LEAST amount of effort? A.Extract text from receipt images by using Amazon Textract. Use the Amazon SageMaker BlazingText algorithm to train on the text for entities and custom entities. B.Extract text from receipt images by using a deep learning OCR model from the AWS Marketplace. Use the NER deep learning model to extract entities. C.Extract text from receipt images by using Amazon Textract. Use Amazon Comprehend for entity detection, and use Amazon Comprehend custom entity recognition for custom entity detection. D.Extract text from receipt images by using a deep learning OCR model from the AWS Marketplace. Use Amazon Comprehend for entity detection, and use Amazon Comprehend custom entity recognition for custom entity detection. Answer: C QUESTION 160 A company is building a predictive maintenance model based on machine learning (ML). The data is stored in a fully private Amazon S3 bucket that is encrypted at rest with AWS Key Management Service (AWS KMS) CMKs. An ML specialist must run data preprocessing by using an Amazon SageMaker Processing job that is triggered from code in an Amazon SageMaker notebook. The job should read data from Amazon S3, process it, and upload it back to the same S3 bucket. The preprocessing code is stored in a container image in Amazon Elastic Container Registry (Amazon ECR). The ML specialist needs to grant permissions to ensure a smooth data preprocessing workflow. Which set of actions should the ML specialist take to meet these requirements? A.Create an IAM role that has permissions to create Amazon SageMaker Processing jobs, S3 read and write access to the relevant S3 bucket, and appropriate KMS and ECR permissions. Attach the role to the SageMaker notebook instance. Create an Amazon SageMaker Processing job from the notebook. B.Create an IAM role that has permissions to create Amazon SageMaker Processing jobs. Attach the role to the SageMaker notebook instance. Create an Amazon SageMaker Processing job with an IAM role that has read and write permissions to the relevant S3 bucket, and appropriate KMS and ECR permissions. C.Create an IAM role that has permissions to create Amazon SageMaker Processing jobs and to access Amazon ECR. Attach the role to the SageMaker notebook instance. Set up both an S3 endpoint and a KMS endpoint in the default VPC. Create Amazon SageMaker Processing jobs from the notebook. D.Create an IAM role that has permissions to create Amazon SageMaker Processing jobs. Attach the role to the SageMaker notebook instance. Set up an S3 endpoint in the default VPC. Create Amazon SageMaker Processing jobs with the access key and secret key of the IAM user with appropriate KMS and ECR permissions. Answer: D QUESTION 161 A data scientist has been running an Amazon SageMaker notebook instance for a few weeks. During this time, a new version of Jupyter Notebook was released along with additional software updates. The security team mandates that all running SageMaker notebook instances use the latest security and software updates provided by SageMaker. How can the data scientist meet this requirements? A.Call the CreateNotebookInstanceLifecycleConfig API operation B.Create a new SageMaker notebook instance and mount the Amazon Elastic Block Store (Amazon EBS) volume from the original instance C.Stop and then restart the SageMaker notebook instance D.Call the UpdateNotebookInstanceLifecycleConfig API operation Answer: C QUESTION 162 A library is developing an automatic book-borrowing system that uses Amazon Rekognition. Images of library members' faces are stored in an Amazon S3 bucket. When members borrow books, the Amazon Rekognition CompareFaces API operation compares real faces against the stored faces in Amazon S3. The library needs to improve security by making sure that images are encrypted at rest. Also, when the images are used with Amazon Rekognition. they need to be encrypted in transit. The library also must ensure that the images are not used to improve Amazon Rekognition as a service. How should a machine learning specialist architect the solution to satisfy these requirements? A.Enable server-side encryption on the S3 bucket. Submit an AWS Support ticket to opt out of allowing images to be used for improving the service, and follow the process provided by AWS Support. B.Switch to using an Amazon Rekognition collection to store the images. Use the IndexFaces and SearchFacesByImage API operations instead of the CompareFaces API operation. C.Switch to using the AWS GovCloud (US) Region for Amazon S3 to store images and for Amazon Rekognition to compare faces. Set up a VPN connection and only call the Amazon Rekognition API operations through the VPN. D.Enable client-side encryption on the S3 bucket. Set up a VPN connection and only call the Amazon Rekognition API operations through the VPN. Answer: B QUESTION 163 A company is building a line-counting application for use in a quick-service restaurant. The company wants to use video cameras pointed at the line of customers at a given register to measure how many people are in line and deliver notifications to managers if the line grows too long. The restaurant locations have limited bandwidth for connections to external services and cannot accommodate multiple video streams without impacting other operations. Which solution should a machine learning specialist implement to meet these requirements? A.Install cameras compatible with Amazon Kinesis Video Streams to stream the data to AWS over the restaurant's existing internet connection. Write an AWS Lambda function to take an image and send it to Amazon Rekognition to count the number of faces in the image. Send an Amazon Simple Notification Service (Amazon SNS) notification if the line is too long. B.Deploy AWS DeepLens cameras in the restaurant to capture video. Enable Amazon Rekognition on the AWS DeepLens device, and use it to trigger a local AWS Lambda function when a person is recognized. Use the Lambda function to send an Amazon Simple Notification Service (Amazon SNS) notification if the line is too long. C.Build a custom model in Amazon SageMaker to recognize the number of people in an image. Install cameras compatible with Amazon Kinesis Video Streams in the restaurant. Write an AWS Lambda function to take an image. Use the SageMaker endpoint to call the model to count people. Send an Amazon Simple Notification Service (Amazon SNS) notification if the line is too long. D.Build a custom model in Amazon SageMaker to recognize the number of people in an image. Deploy AWS DeepLens cameras in the restaurant. Deploy the model to the cameras. Deploy an AWS Lambda function to the cameras to use the model to count people and send an Amazon Simple Notification Service (Amazon SNS) notification if the line is too long. Answer: A QUESTION 164 A company has set up and deployed its machine learning (ML) model into production with an endpoint using Amazon SageMaker hosting services. The ML team has configured automatic scaling for its SageMaker instances to support workload changes. During testing, the team notices that additional instances are being launched before the new instances are ready. This behavior needs to change as soon as possible. How can the ML team solve this issue? A.Decrease the cooldown period for the scale-in activity. Increase the configured maximum capacity of instances. B.Replace the current endpoint with a multi-model endpoint using SageMaker. C.Set up Amazon API Gateway and AWS Lambda to trigger the SageMaker inference endpoint. D.Increase the cooldown period for the scale-out activity. Answer: A QUESTION 165 A telecommunications company is developing a mobile app for its customers. The company is using an Amazon SageMaker hosted endpoint for machine learning model inferences. Developers want to introduce a new version of the model for a limited number of users who subscribed to a preview feature of the app. After the new version of the model is tested as a preview, developers will evaluate its accuracy. If a new version of the model has better accuracy, developers need to be able to gradually release the new version for all users over a fixed period of time. How can the company implement the testing model with the LEAST amount of operational overhead? A.Update the ProductionVariant data type with the new version of the model by using the CreateEndpointConfig operation with the InitialVariantWeight parameter set to 0. Specify the TargetVariant parameter for InvokeEndpoint calls for users who subscribed to the preview feature. When the new version of the model is ready for release, gradually increase InitialVariantWeight until all users have the updated version. B.Configure two SageMaker hosted endpoints that serve the different versions of the model. Create an Application Load Balancer (ALB) to route traffic to both endpoints based on the TargetVariant query string parameter. Reconfigure the app to send the TargetVariant query string parameter for users who subscribed to the preview feature. When the new version of the model is ready for release, change the ALB's routing algorithm to weighted until all users have the updated version. C.Update the DesiredWeightsAndCapacity data type with the new version of the model by using the UpdateEndpointWeightsAndCapacities operation with the DesiredWeight parameter set to 0. Specify the TargetVariant parameter for InvokeEndpoint calls for users who subscribed to the preview feature. When the new version of the model is ready for release, gradually increase DesiredWeight until all users have the updated version. D.Configure two SageMaker hosted endpoints that serve the different versions of the model. Create an Amazon Route 53 record that is configured with a simple routing policy and that points to the current version of the model. Configure the mobile app to use the endpoint URL for users who subscribed to the preview feature and to use the Route 53 record for other users. When the new version of the model is ready for release, add a new model version endpoint to Route 53, and switch the policy to weighted until all users have the updated version. Answer: D QUESTION 166 A company offers an online shopping service to its customers. The company wants to enhance the site's security by requesting additional information when customers access the site from locations that are different from their normal location. The company wants to update the process to call a machine learning (ML) model to determine when additional information should be requested. The company has several terabytes of data from its existing ecommerce web servers containing the source IP addresses for each request made to the web server. For authenticated requests, the records also contain the login name of the requesting user. Which approach should an ML specialist take to implement the new security feature in the web application? A.Use Amazon SageMaker Ground Truth to label each record as either a successful or failed access attempt. Use Amazon SageMaker to train a binary classification model using the factorization machines (FM) algorithm. B.Use Amazon SageMaker to train a model using the IP Insights algorithm. Schedule updates and retraining of the model using new log data nightly. C.Use Amazon SageMaker Ground Truth to label each record as either a successful or failed access attempt. Use Amazon SageMaker to train a binary classification model using the IP Insights algorithm. D.Use Amazon SageMaker to train a model using the Object2Vec algorithm. Schedule updates and retraining of the model using new log data nightly. Answer: C QUESTION 167 A retail company wants to combine its customer orders with the product description data from its product catalog. The structure and format of the records in each dataset is different. A data analyst tried to use a spreadsheet to combine the datasets, but the effort resulted in duplicate records and records that were not properly combined. The company needs a solution that it can use to combine similar records from the two datasets and remove any duplicates. Which solution will meet these requirements? A.Use an AWS Lambda function to process the data. Use two arrays to compare equal strings in the fields from the two datasets and remove any duplicates. B.Create AWS Glue crawlers for reading and populating the AWS Glue Data Catalog. Call the AWS Glue SearchTables API operation to perform a fuzzy-matching search on the two datasets, and cleanse the data accordingly. C.Create AWS Glue crawlers for reading and populating the AWS Glue Data Catalog. Use the FindMatches transform to cleanse the data. D.Create an AWS Lake Formation custom transform. Run a transformation for matching products from the Lake Formation console to cleanse the data automatically. Answer: D QUESTION 168 A company provisions Amazon SageMaker notebook instances for its data science team and creates Amazon VPC interface endpoints to ensure communication between the VPC and the notebook instances. All connections to the Amazon SageMaker API are contained entirely and securely using the AWS network. However, the data science team realizes that individuals outside the VPC can still connect to the notebook instances across the internet. Which set of actions should the data science team take to fix the issue? A.Modify the notebook instances' security group to allow traffic only from the CIDR ranges of the VPC. Apply this security group to all of the notebook instances' VPC interfaces. B.Create an IAM policy that allows the sagemaker:CreatePresignedNotebooklnstanceUrl and sagemaker:DescribeNotebooklnstance actions from only the VPC endpoints. Apply this policy to all IAM users, groups, and roles used to access the notebook instances. C.Add a NAT gateway to the VPC. Convert all of the subnets where the Amazon SageMaker notebook instances are hosted to private subnets. Stop and start all of the notebook instances to reassign only private IP addresses. D.Change the network ACL of the subnet the notebook is hosted in to restrict access to anyone outside the VPC. Answer: B QUESTION 169 A company will use Amazon SageMaker to train and host a machine learning (ML) model for a marketing campaign. The majority of data is sensitive customer data. The data must be encrypted at rest. The company wants AWS to maintain the root of trust for the master keys and wants encryption key usage to be logged. Which implementation will meet these requirements? A.Use encryption keys that are stored in AWS Cloud HSM to encrypt the ML data volumes, and to encrypt the model artifacts and data in Amazon S3. B.Use SageMaker built-in transient keys to encrypt the ML data volumes. Enable default encryption for new Amazon Elastic Block Store (Amazon EBS) volumes. C.Use customer managed keys in AWS Key Management Service (AWS KMS) to encrypt the ML data volumes, and to encrypt the model artifacts and data in Amazon S3. D.Use AWS Security Token Service (AWS STS) to create temporary tokens to encrypt the ML storage volumes, and to encrypt the model artifacts and data in Amazon S3. Answer: C QUESTION 170 A machine learning specialist stores IoT soil sensor data in Amazon DynamoDB table and stores weather event data as JSON files in Amazon S3. The dataset in DynamoDB is 10 GB in size and the dataset in Amazon S3 is 5 GB in size. The specialist wants to train a model on this data to help predict soil moisture levels as a function of weather events using Amazon SageMaker. Which solution will accomplish the necessary transformation to train the Amazon SageMaker model with the LEAST amount of administrative overhead? A.Launch an Amazon EMR cluster. Create an Apache Hive external table for the DynamoDB table and S3 data. Join the Hive tables and write the results out to Amazon S3. B.Crawl the data using AWS Glue crawlers. Write an AWS Glue ETL job that merges the two tables and writes the output to an Amazon Redshift cluster. C.Enable Amazon DynamoDB Streams on the sensor table. Write an AWS Lambda function that consumes the stream and appends the results to the existing weather files in Amazon S3. D.Crawl the data using AWS Glue crawlers. Write an AWS Glue ETL job that merges the two tables and writes the output in CSV format to Amazon S3. Answer: C QUESTION 171 A company sells thousands of products on a public website and wants to automatically identify products with potential durability problems. The company has 1.000 reviews with date, star rating, review text, review summary, and customer email fields, but many reviews are incomplete and have empty fields. Each review has already been labeled with the correct durability result. A machine learning specialist must train a model to identify reviews expressing concerns over product durability. The first model needs to be trained and ready to review in 2 days. What is the MOST direct approach to solve this problem within 2 days? A.Train a custom classifier by using Amazon Comprehend. B.Build a recurrent neural network (RNN) in Amazon SageMaker by using Gluon and Apache MXNet. C.Train a built-in BlazingText model using Word2Vec mode in Amazon SageMaker. D.Use a built-in seq2seq model in Amazon SageMaker. 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Try These 7 Memory-Boosting Brain Exercises
You already know that exercising your body is beneficial to your health, but brain exercises are also necessary for maintaining mental sharpness and preventing memory loss. Even though the brain gets plenty of exercise daily, certain exercises may help to enhance brain function and connectivity. As a result, it may protect the brain from age-related deterioration. Brain training games (BTG) are thought to be effective in the improvement of cognitive abilities. For many people, especially as they get older, brain exercise is a primary goal to improve memory, focus, or daily functionality.  People of all ages, however, can get benefit by incorporating a few easy brain workouts into their daily lives, which we will discuss in further detail later in this article. Impact of Brain Exercises On Your Mind! According to research, there are many ways to sharpen your mental acuity and keep your brain healthy, regardless of your age.  Brain exercises that improve memory, concentration, and focus can help you complete daily chores faster and more efficiently, and keep your mind fresh as you mature. The prefrontal cortex and the medial temporal lobe system, including the hippocampus and the cerebellum, change as people get older.  Alzheimer’s disease (AD) and dementia are associated with these alterations. Such changes harm short- and long-term memory, speed, and executive functions. Considerable research on the effects of brain training games on cognitive tasks such as speed and accuracy, attention, memory, working memory, and overall cognitive function have shown improved performance. Exercise, both physical and cognitive, can help your brain’s cognitive reserve, or its ability to endure neurological damage caused by aging and other circumstances without slowing down or losing memory. 7 Engaging Brain Exercises That Are Easy To Do! Experts have suggested several brain exercises through which you can hone your mind and boost your memory. These cognitive exercises not only enhance your memory or focus but keep your brain alive as you age. Let’s get started with some mind-boggling activities that will keep your memory sharp while also keeping your mind busy.  1. Solve Brain Puzzles Sticking fragments together or fixing a jigsaw puzzle is a remarkable idea to challenge your brain. Playing brain puzzles is a practical brain exercise that keeps your mind active and fit by arranging complicated puzzles.  Crossword puzzles are a popular brain exercise that might help the brain function better. According to an earlier study from 2011, crossword puzzles may help persons with preclinical dementia and delay the development of memory loss. Completing a jigsaw puzzle is a fun way to spend time while also potentially benefiting the brain. Perception, mental rotation, working memory, and reasoning are all activated by puzzles, according to a 2018 study. According to similar research, practicing jigsaw puzzles daily and throughout one’s life may guard against the effects of aging on the brain. 2. Playing cards Act As Brain Teaser When was the last time you had a card game? If not, then you should start playing cards. These brain exercises not only improve logical thinking but improve your memory as well. A brief card game, according to researchers who conducted a study on mentally challenging activities for adults in 2015, can lead to enhanced brain volume in many regions of the brain. Memory card games put a person’s short-term memory and pattern-recognition skills to the test. They’re an easy and enjoyable technique to train the brain and activate pattern recognition and recall areas. The most popular card games are listed here, and you should start playing them as well. Solitaire Bridge Poker Go Fish Rolling Stone Hearts Crazy eights 3. Learn New Vocabulary Do you know, learning extra words or adding unfamiliar words to your dwelling vocabulary can be an instant brain exercise? Possessing a strong vocabulary is the symbol of a creative and active mind. Learning is a well-known traditional brain training to enhance the learning abilities of your mind.  Vocabulary-induced brain exercises influence cognitive functions and keep your mind engaged.  Researchers reveal that vocabulary exercises engage a substantial percentage of brain regions, particularly those engaged in visual and auditory processing. Try this brain-boosting activity to put this hypothesis to the test. When you’re reading, keep a notebook with you. Make a list of unknown words, then check it up in the dictionary. The next day, try to use that word five times. 4. Add New Skills In Your Skill Set Mastering new skills is another brain exercise that you can do. It also reinforces your mind by picking up something unique that you never did.  Learning a new skill is one of the brain-sharpening activities, according to a 2014 study, because it helps to strengthen memory in older adults. If you haven’t been thinking about learning a new skill, now you have a reason to learn one. New skills could be anything like driving a car, cooking or learning a software skill. Thus, it helps your brain to work more energetically. 5. Learn Unfamiliar Languages Speaking various languages or being bilingual is a symbol of having an intelligent mind.  A study from 2014 strongly proved the significant cognitive benefits of being able to speak over one language. Corresponding to too many surveys, picking up new have various benefits such as Strengthens your thinking patterns, consciousness Enhances auditory-visual skills like any other brain exercise. Mastering any new language impedes the process of mental decline and helps to sustain your brain activity. There is no age limit to grasp and adapt to something unique. 6. Impact of Meditation Meditation entails focusing one’s attention in a calm, controlled manner. Meditating has been shown to offer many health benefits for both the brain and the body. Make it a part of your life, as your head experiences negativity and stress all the time, which diminishes its function.  According to the National Center for Complementary and Integrative Health, meditation may improve the brain by decreasing brain aging and enhancing the brain’s ability to process information Meditation is one of the relaxing brain exercises. It is beneficial to your mental health and can be done regularly to rejuvenate your brain. 7. Listen to Music and Learn New Beats Are you interested in learning a basic brain exercise to make your brain more creative? If yes, then strengthen your intellectual creativity by listening to soothing music notes.  According to a 2017 study, listening to cheerful music, as opposed to sitting in quiet, helps people come up with more imaginative solutions.  Listening to upbeat music can help you think more creatively and enhance your brain function. You can never be too old to pick up new skills, and after finding out that music rejuvenates your brain, think once about learning music. Share your feedback and let us know which brain exercises you find interesting and starting from today? Also, consult our team of Experts if you are dealing with any mental health illness and know help is accessible. 
[October-2021]New Braindump2go DAS-C01 PDF and VCE Dumps[Q122-Q132]
QUESTION 122 A company has a marketing department and a finance department. The departments are storing data in Amazon S3 in their own AWS accounts in AWS Organizations. Both departments use AWS Lake Formation to catalog and secure their data. The departments have some databases and tables that share common names. The marketing department needs to securely access some tables from the finance department. Which two steps are required for this process? (Choose two.) A.The finance department grants Lake Formation permissions for the tables to the external account for the marketing department. B.The finance department creates cross-account IAM permissions to the table for the marketing department role. C.The marketing department creates an IAM role that has permissions to the Lake Formation tables. Answer: AB QUESTION 123 A human resources company maintains a 10-node Amazon Redshift cluster to run analytics queries on the company's data. The Amazon Redshift cluster contains a product table and a transactions table, and both tables have a product_sku column. The tables are over 100 GB in size. The majority of queries run on both tables. Which distribution style should the company use for the two tables to achieve optimal query performance? A.An EVEN distribution style for both tables B.A KEY distribution style for both tables C.An ALL distribution style for the product table and an EVEN distribution style for the transactions table D.An EVEN distribution style for the product table and an KEY distribution style for the transactions table Answer: B QUESTION 124 A company receives data from its vendor in JSON format with a timestamp in the file name. The vendor uploads the data to an Amazon S3 bucket, and the data is registered into the company's data lake for analysis and reporting. The company has configured an S3 Lifecycle policy to archive all files to S3 Glacier after 5 days. The company wants to ensure that its AWS Glue crawler catalogs data only from S3 Standard storage and ignores the archived files. A data analytics specialist must implement a solution to achieve this goal without changing the current S3 bucket configuration. Which solution meets these requirements? A.Use the exclude patterns feature of AWS Glue to identify the S3 Glacier files for the crawler to exclude. B.Schedule an automation job that uses AWS Lambda to move files from the original S3 bucket to a new S3 bucket for S3 Glacier storage. C.Use the excludeStorageClasses property in the AWS Glue Data Catalog table to exclude files on S3 Glacier storage. D.Use the include patterns feature of AWS Glue to identify the S3 Standard files for the crawler to include. Answer: A QUESTION 125 A company analyzes historical data and needs to query data that is stored in Amazon S3. New data is generated daily as .csv files that are stored in Amazon S3. The company's analysts are using Amazon Athena to perform SQL queries against a recent subset of the overall data. The amount of data that is ingested into Amazon S3 has increased substantially over time, and the query latency also has increased. Which solutions could the company implement to improve query performance? (Choose two.) A.Use MySQL Workbench on an Amazon EC2 instance, and connect to Athena by using a JDBC or ODBC connector. Run the query from MySQL Workbench instead of Athena directly. B.Use Athena to extract the data and store it in Apache Parquet format on a daily basis. Query the extracted data. C.Run a daily AWS Glue ETL job to convert the data files to Apache Parquet and to partition the converted files. Create a periodic AWS Glue crawler to automatically crawl the partitioned data on a daily basis. D.Run a daily AWS Glue ETL job to compress the data files by using the .gzip format. Query the compressed data. E.Run a daily AWS Glue ETL job to compress the data files by using the .lzo format. Query the compressed data. Answer: BC QUESTION 126 A company is sending historical datasets to Amazon S3 for storage. A data engineer at the company wants to make these datasets available for analysis using Amazon Athena. The engineer also wants to encrypt the Athena query results in an S3 results location by using AWS solutions for encryption. The requirements for encrypting the query results are as follows: - Use custom keys for encryption of the primary dataset query results. - Use generic encryption for all other query results. - Provide an audit trail for the primary dataset queries that shows when the keys were used and by whom. Which solution meets these requirements? A.Use server-side encryption with S3 managed encryption keys (SSE-S3) for the primary dataset. Use SSE-S3 for the other datasets. B.Use server-side encryption with customer-provided encryption keys (SSE-C) for the primary dataset. Use server-side encryption with S3 managed encryption keys (SSE-S3) for the other datasets. C.Use server-side encryption with AWS KMS managed customer master keys (SSE-KMS CMKs) for the primary dataset. Use server-side encryption with S3 managed encryption keys (SSE-S3) for the other datasets. D.Use client-side encryption with AWS Key Management Service (AWS KMS) customer managed keys for the primary dataset. Use S3 client-side encryption with client-side keys for the other datasets. Answer: A QUESTION 127 A large telecommunications company is planning to set up a data catalog and metadata management for multiple data sources running on AWS. The catalog will be used to maintain the metadata of all the objects stored in the data stores. The data stores are composed of structured sources like Amazon RDS and Amazon Redshift, and semistructured sources like JSON and XML files stored in Amazon S3. The catalog must be updated on a regular basis, be able to detect the changes to object metadata, and require the least possible administration. Which solution meets these requirements? A.Use Amazon Aurora as the data catalog. Create AWS Lambda functions that will connect and gather the metadata information from multiple sources and update the data catalog in Aurora. Schedule the Lambda functions periodically. B.Use the AWS Glue Data Catalog as the central metadata repository. Use AWS Glue crawlers to connect to multiple data stores and update the Data Catalog with metadata changes. Schedule the crawlers periodically to update the metadata catalog. C.Use Amazon DynamoDB as the data catalog. Create AWS Lambda functions that will connect and gather the metadata information from multiple sources and update the DynamoDB catalog. Schedule the Lambda functions periodically. D.Use the AWS Glue Data Catalog as the central metadata repository. Extract the schema for RDS and Amazon Redshift sources and build the Data Catalog. Use AWS crawlers for data stored in Amazon S3 to infer the schema and automatically update the Data Catalog. Answer: D QUESTION 128 An ecommerce company is migrating its business intelligence environment from on premises to the AWS Cloud. The company will use Amazon Redshift in a public subnet and Amazon QuickSight. The tables already are loaded into Amazon Redshift and can be accessed by a SQL tool. The company starts QuickSight for the first time. During the creation of the data source, a data analytics specialist enters all the information and tries to validate the connection. An error with the following message occurs: "Creating a connection to your data source timed out." How should the data analytics specialist resolve this error? A.Grant the SELECT permission on Amazon Redshift tables. B.Add the QuickSight IP address range into the Amazon Redshift security group. C.Create an IAM role for QuickSight to access Amazon Redshift. D.Use a QuickSight admin user for creating the dataset. Answer: A QUESTION 129 A power utility company is deploying thousands of smart meters to obtain real-time updates about power consumption. The company is using Amazon Kinesis Data Streams to collect the data streams from smart meters. The consumer application uses the Kinesis Client Library (KCL) to retrieve the stream data. The company has only one consumer application. The company observes an average of 1 second of latency from the moment that a record is written to the stream until the record is read by a consumer application. The company must reduce this latency to 500 milliseconds. Which solution meets these requirements? A.Use enhanced fan-out in Kinesis Data Streams. B.Increase the number of shards for the Kinesis data stream. C.Reduce the propagation delay by overriding the KCL default settings. D.Develop consumers by using Amazon Kinesis Data Firehose. Answer: C QUESTION 130 A company needs to collect streaming data from several sources and store the data in the AWS Cloud. The dataset is heavily structured, but analysts need to perform several complex SQL queries and need consistent performance. Some of the data is queried more frequently than the rest. The company wants a solution that meets its performance requirements in a cost-effective manner. Which solution meets these requirements? A.Use Amazon Managed Streaming for Apache Kafka to ingest the data to save it to Amazon S3. Use Amazon Athena to perform SQL queries over the ingested data. B.Use Amazon Managed Streaming for Apache Kafka to ingest the data to save it to Amazon Redshift. Enable Amazon Redshift workload management (WLM) to prioritize workloads. C.Use Amazon Kinesis Data Firehose to ingest the data to save it to Amazon Redshift. Enable Amazon Redshift workload management (WLM) to prioritize workloads. D.Use Amazon Kinesis Data Firehose to ingest the data to save it to Amazon S3. Load frequently queried data to Amazon Redshift using the COPY command. Use Amazon Redshift Spectrum for less frequently queried data. Answer: B QUESTION 131 A manufacturing company uses Amazon Connect to manage its contact center and Salesforce to manage its customer relationship management (CRM) data. The data engineering team must build a pipeline to ingest data from the contact center and CRM system into a data lake that is built on Amazon S3. What is the MOST efficient way to collect data in the data lake with the LEAST operational overhead? A.Use Amazon Kinesis Data Streams to ingest Amazon Connect data and Amazon AppFlow to ingest Salesforce data. B.Use Amazon Kinesis Data Firehose to ingest Amazon Connect data and Amazon Kinesis Data Streams to ingest Salesforce data. C.Use Amazon Kinesis Data Firehose to ingest Amazon Connect data and Amazon AppFlow to ingest Salesforce data. D.Use Amazon AppFlow to ingest Amazon Connect data and Amazon Kinesis Data Firehose to ingest Salesforce data. Answer: B QUESTION 132 A manufacturing company wants to create an operational analytics dashboard to visualize metrics from equipment in near-real time. The company uses Amazon Kinesis Data Streams to stream the data to other applications. The dashboard must automatically refresh every 5 seconds. A data analytics specialist must design a solution that requires the least possible implementation effort. Which solution meets these requirements? A.Use Amazon Kinesis Data Firehose to store the data in Amazon S3. Use Amazon QuickSight to build the dashboard. B.Use Apache Spark Streaming on Amazon EMR to read the data in near-real time. Develop a custom application for the dashboard by using D3.js. C.Use Amazon Kinesis Data Firehose to push the data into an Amazon Elasticsearch Service (Amazon ES) cluster. Visualize the data by using a Kibana dashboard. D.Use AWS Glue streaming ETL to store the data in Amazon S3. Use Amazon QuickSight to build the dashboard. Answer: B 2021 Latest Braindump2go DAS-C01 PDF and DAS-C01 VCE Dumps Free Share: https://drive.google.com/drive/folders/1WbSRm3ZlrRzjwyqX7auaqgEhLLzmD-2w?usp=sharing
MD-101 Prüfungsfragen deutsch, MD-101 it-prüfung Lernstoff
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Membervio Review (Neil Napier): Good or Bad?
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Protein Engineering : Future, Trends, And Scope
The growth of this market is majorly driven by factors such as the increasing investments in synthetic biology and the growing focus on protein-based drug development by pharmaceutical and biotechnology companies.  The rational protein design segment accounted for the largest share of the market in 2019. The large share of this segment can be attributed to the increasing use and continuous upgrades of bioinformatics platforms and software for protein analysis.  The global market is segmented into four major regions, namely, North America, Europe, the Asia Pacific, and the Rest of the World. In 2019, North America accounted for the largest share of the global market, closely followed by Europe.  Factors such as the presence of well-established CROs, rising R&D expenditure, and the availability of the latest techniques and instruments for drug discovery research are responsible for the large share of the North American market. However, the Asia Pacific market is estimated to grow at the highest CAGR during the forecast period.  Download PDF Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=898  Monoclonal antibodies accounted for the largest share of the protein engineering market in 2019, majorly due to the high and growing demand for monoclonal antibodies for the treatment of cancer, neurological diseases, and infectious diseases.  The rational protein design segment accounted for the largest share of the market, majorly due to the increasing use and continuous upgrades of bioinformatics platforms and software for protein analysis.  The protein engineering market is segmented into biopharmaceutical companies, contract research organizations, and academic research institutes. Biopharmaceutical companies use protein engineering products extensively in their drug discovery and development activities as these products help in designing models to develop a broad range of protein-based drugs. As a result, biopharmaceutical companies were the largest end-users in this market in 2019.  The major companies operating in the global protein engineering market include Thermo Fisher Scientific (US), Danaher Corporation (US), Agilent Technologies (US), and Bio-Rad Laboratories (US).  Market Research Developments: In 2019, Creative Biolabs (US) launched the cd25 monoclonal antibody. In 2019, Waters Corporation (US) launched Vanguard FIT Cartridge Technology. In 2019, Agilent Technologies (US) acquired BioTek Instruments (US), which helped the company to expand its expertise in cell analysis and establish its position in the immuno-oncology and immunotherapy markets. In 2019, Merck KGaA signed a license agreement with Amunix Pharmaceuticals, Inc. (US). Under this agreement, Amunix will gain the rights to develop therapeutics using the protease-triggered immune activator (ProTIA) technology platform.
Dairy Foods Market Companies, Consumption, Drivers, Trends, Forces Analysis, Revenue, Challenges and Global Forecast 2027
The global dairy foods market size is expected to reach USD 964.18 billion by 2027, exhibiting a CAGR of 4.6% during the forecast period. The significant demand for dairy products yogurt, cheese, and whey proteins among the general population will augur well for the market, states Fortune Business Insights, in a report, titled “Dairy Foods Market Size, Share & COVID-19 Impact Analysis, By Source (Cattle, Sheep, Goat, and Camel), By Type (Lactose and Lactose-free), Product Type (Milk, Cheese, Butter, Dessert, Yogurt, and Others), Distribution Channel (Supermarkets/Hypermarkets, Specialty Stores, Convenience Stores, and Online Retail), and Regional Forecast, 2020-2027.” The market size stood at USD 686.18 billion in 2019. The coronavirus emergency has resulted in financial jeopardy for trades and businesses around the world. The authorities of several countries have initiated lockdown to avert the increase of this infectious disease. Such strategies have caused disturbances in the production and supply chain. But, with time and resolution, we will be able to combat this stern time and get back to normality. Our well-revised reports will help companies to receive in-depth information about the present scenario of every market so that you can adopt the necessary strategies accordingly. Market Driver: Rising Consumption of Value-Added Dairy Products to Contribute Impetus The evolving lifestyles of people and disposable income are factors expected to spur opportunities for the market. The growing demand for value-added dairy foods such as cheese, butter, creams, and yogurts among consumers will have a tremendous impact on the market. The increasing cognizance about gut health will further fuel demand for yogurt, kefir, and other fermented dairy products, in turn, bolster healthy growth of the market. The rapidly prospering dairy industry is expected to enable speedy expansion of the market in the forthcoming years. In addition, the development of innovative powders such as dairy creams and cheese powder can promote the growth of the market. Instability in Dairy Production to Disrupt Business Amid COVID-19 The lockdown in several regions has severely impacted the global dairy foods market. The massive drop in the foodservice industry has resulted in limited demand for dairy products. Thus, the low demand for higher-value products is expected to hamper the dairy business. Nonetheless, the growing sale of low-cost dairy foods such as milk powders among consumers will simultaneously aid the market for speedy recuperation. In addition, the technological advancements to improve the production of dairy products will promote the market amid coronavirus. Regional Analysis: High Demand for Clean-label Products to Influence Growth in Europe The market in Europe is expected to experience a rapid growth rate during the forecast period due to the growing demand for clean-label dairy products. The shifting consumer preference towards organic, healthy, non-GMO, lactose-free, and non-fat milk and dairy foods will aid expansion in the region. North America is likely to hold a small portion in the global market during the forecast period owing to the shifting consumer preference towards vegan products. However, the ongoing awareness programs to encourage consumers for animal-based dairy products can potentially stimulate the market in the region. Moreover, the rising consumption of infant formula and whey powder will favor growth in the region. Key Development: June 2020: Lactalis International, announced the release of a new skimmed milk powder made by using a specific heat treatment that denatures the protein to obtain a heat-stable powder. Browse Detailed Summary of Research Report with TOC: https://www.fortunebusinessinsights.com/dairy-foods-market-103890
How School ERP Software simplifies fee management
Schools, universities, and other educational institutions mostly have the issue of manually tracking fees collected from a large number of students. Than parents and school administration are searching for alternatives to make pay fees easier. Before the pandemic, school management software made it easier for schools to fully adopt these innovative technologies. When new school sites open educational institutions so they delighted to continue using their online school administration system. All thanks to fee management module to help school and parents. What is Fee Management System? The online fees management system is a great component of an school management system. It is primarily used to manage the financial records of students digitally. Schools can manage different charge structure and generate receipts for fees, customize the receipts, and monitor and audit fees reports. The top-most column of the fees management system is the online fees payment with a variety of payment methods. Managing fees manually has a variety of obstacles, but fees management software makes it much easier. Fee management is a module of school management software that facilitates online transmission fees. Acceping payments online via several channels so a merchant uses a payment gateway. Although it processes online payments, a payment gateway does additional functions as well. In this way, the merchant's bank account receives payment data from the consumer and processes it. You can pay securely to the merchant by using this school software module. It protects the card holder from identity theft and ensures that money is accessible for the transaction. It gives the customer the option of accepting and declining a payment. Thanks to the School ERP Software everything can be do in just one click. Advantage of Fee Management Module Fees Can Be Pay From Anywhere An important benefit of utilizing an online school management system in schools is that it allows parents and donors to pay at any time and from anywhere in the world. Use the payment gateway so all they need is a smartphone or tablet with an internet connection. When it was time for fee payment, parents had to stand in line. For parents, using a payment gateway streamlines the procedure. Traditional fee and payment collection were also only available during office hours with the traditional system. Payments can be done 24 hours a day and thanks to the school software's flexibility. Fees Can Be Transferrer Immediately Schools and educational institutions that collect cash, checks must perform a great deal of manual labor. This is a waste of everyone's time and including the school's and the parents. It's also possible to get scammed by fake cash and bad checks. Paying fees online through the school management system eliminates this danger. It also ensures prompt fee transfers and speeding up the entire procedure and allowing students to access their monies more quickly. Secure fee transactions with online fee payment Paytm, PayUmoney, Hdfc, debit cards, credit cards, and net banking are just a few of the handy payment channels available to parents. They can also pay the fees using UPI money transfers utilising applications like Phonepay, Google pay, and many others. In some circumstances, parents will be notified through email when the transaction has successful or fail. It depend on the customization. Best School management software benefits as they gain the confidence of parents and who can then manage it digitally. E-receipts save paper because they are online The educational institutes deliver their standardized receipts copy and preserve a copy of the same during the physical fee payment. One of the most useful features of the online fees management system is the ability to generate instant e-receipts. Once the fee is pay online and the parent receives a copy of it via the mobile app. Because For parents who desire to pay their fees in banks or at schools, so schools can publish invoices. Manage the payment of fees in instalment Because parents are willing to make sacrifices so that their children can receive the greatest possible institutions. Schools may offer the option of paying fees in instalments to ease the financial burden on parents under this method. Because of school software, the parents can budget their finances accordingly. High Data Security The most important thing is the security in school management software. The built-in security is provided by a digital payment gateway so it's one of the major advantages. Encryption is use by payment gateways to safeguard confidential customer information. The school's and the parent’s financial information is safe in this way from theft. Encourage cashless transactions process All financial transactions are now cashless thanks to school management software. Paying with credit or debit cards eliminates the possibility of cash stolen or fake id. Schools save time also they don't have to dig through voluminous books, receipts, and documentation. They only need to look at the payment gateway's automated reports. This is more convenient for both the school and parents because parents no longer have to drive or wait in long lines to pay. Using software for school enhance the productivity Faster Payment Processing To ensure that payments are pay faster than with checks or cash, the fee management system can deposit them in the bank. Then they process them within a few days. A school management system ensures a faster inflow of receiving cash but in the school's account. This may be used for scheduled activities and events by transferring the payment in a few hours. Daily accounting easier because of the fast processing. Storing information to make payments easier Payment gateways encrypt and securely store your credit card and bank account information. As a result, processing payments to the school will be quicker and easier in the future. Because it's encrypt, so fraudsters can't get their hands on it. The school management software modules are making everything easier to pay fees anytime, anywhere. Creating Receipts Automatically In a traditional payment system, the school's administration team must prepare and mail receipts to parents for each fee transaction. A School ERP Software helps instant generates fee receipts for online transactions. Once the transaction has complete successfully and parents, fee payers will be notified via email and messaging. The parent is also get alert instantly if any transaction fails. So in short fee management software allowing them to repeat the payment. The Automated and Comprehensive Report The admin will receive automate and thorough information on fee transactions if your school has a payment gateway installed. Every transaction is can be track by the payment gateway that also generates reports on the activity. They will have access to a single dashboard so they can see all of the fees collected. In a matter of second so you will have instant access to these reports. It can generate by the school software. Sum Up Now the finance team can relax because of the school software. Fee management is a critical part of the school management software. To keep up-to-date and collect payments via credit cards and your school can use this software. When it comes to fees, parents and schools can use the payment gateway to pay for everything from annual fees to entry charges to dormitory costs to bus fares. So without any further confusion and question, you can go for school management. Article Source:- https://medium.com/@nletseoteam/how-school-erp-software-simplifies-fee-management-55cc7e44900b
Research Areas in Mechanical Engineering Along With the Skills Required In This Field
One of the vital branches of engineering is mechanical. It deals with the machines, their designs, their productions, operations, etc. Can you imagine the development of any nation without its industry? No, similarly any industry cannot be imagined without mechanical engineering. When we talk about the role of mechanical engineers it is vastly similar to their field. They have to be part of the journey that the product makes from being just an idea to the marketplace. The mechanical engineers need to understand the environment that will be faced by the product they are thinking about. The idea or the design is inspired and affected by so many factors.  Here for your mechanical engineering homework help, we will be presenting some of the basic yet vital concepts within mechanical engineering. Skills Required within the Mechanical Engineer Having a degree in mechanical engineering is not enough to be successful in this field. It demands much more than just bookish knowledge. For having a stable career in mechanical engineering few major skills must be possessed you. This field provides a plethora of great opportunities for your growth as a professional. But it won’t happen through magic rather you need to work hard on your skills for the same. The skills required are: The first and the most vital skill that is required within mechanical engineers is creativity. You know that being creative is great homework help for any subject during your academics. Similarly, creativity is useful for the work field of technical engineering. Mechanical engineers need to come up with different innovative ideas for the next product. They have to be creative with the design also.  Another skill requirement demands the mechanical engineers to be best with budgeting and technical skills. Designing the system is not the only job of mechanical engineers. They have to work behind implementing the idea, operating it, maintaining the designs, etc. They are provided with a certain budget in which they need to prepare their best. This is why they must be good with the ethical approach as well as handling the money responsibly.  There is more skill set that is required in mechanical engineering but there we have mentioned the two major ones. What are the different research areas within mechanical engineering? When you think about mechanical engineering all you know are the different vehicle designs and pieces of machinery, etc. But this is not the only range that mechanical engineering has to offer you. Here we present to you the research areas which are significant for this engineering branch. This piece of information will be fruitful for your homework help. 1. First comes the Aerodynamic and fluid mechanics. This is the field that deals with fluid, thermal and aerodynamic engineering. The research group’s work is labs and finds out the different variety that fluid mechanics has within. 2. Second is the biomechanics that is dealing with biomaterial and biological materials. This area is all about a variety of topics including voice production, bio-devices, cardiovascular engineering, etc.  3. Third, in this list is the combustion and energy system. In this research area, the groups conduct the applied and fundamental research related to combustion, compressible gas dynamics, heat transfer, etc.  This blog presents you with the knowledge of mechanical engineering that will be fruitful for mechanical engineering homework help. From skills to the areas in which research can be conducted all have been presented above. Although there are still several other topics that present a different aspect of this engineering. You might need help with those topics. Worry not for that you can always choose the academic writing service for your help. There are brands with experts in mechanical engineering ready to guide you through all your issues. 
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