LizArnone
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What Abortion Means To Me.

Donald Trump has done it again. He has made my blood boil. He has made my skin crawl. He has made me terrified to be a woman. Mister Trump, a male who in no way can EVER be pregnant, now believes that women who get abortions should be punished.
But here is what abortion means to me. Abortion is my right to choose between living and dying, because having a child would kill the person I am right now. Children take your life and make it there's. It's what happens when you have a baby, you should devote your life to them. Having a child when I am not ready is murdering the life I have, and the future that no longer exists. Abortion to me is the right to claim my sexuality. To have a sex life that is above the norms of animals, who have sex for reproductive reasons alone. We are expected to be superior to animals in every other way, so why can't my sex life as a female be superior as well.
Abortion to me, is the right to be in control of my own body. To claim ownership over the miracle only my gender can produce. To decide exactly when I am ready to embrace motherhood, to be fully prepared to devote my heart, soul, and life to a child. Because they deserve that. And personally I am sick and fucking tired of people telling me what the hell I can do with my own vagina. So fuck you Donald Trump, you're the one that should be punished.
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@atmi @hannah769 the thing about abortions is that no one actually uses them as their plan A. No one ever WANTS to get one. Contraceptions fail and having an abortion can be taking on a HUGE responsibility. There is a huge difference between pro life and pro birth. If you support someone bringing a child into this world that will struggle to be fed, cloth, and properly taken care of you are not pro LIFE that is pro birth.
I'm personally against abortion but I don't think it's right for someone to tell you (a woman) can or can't have one. It's their choice, their reasons and I would respect it as should everyone else. That's how I feel anyway.
Trump is a lying, irresponsible, racist misogynist....Honestly I despair.
@loftonc16 Yes, whether you're pro or against abortion, it should be every women's choice to make for herself. But getting punished for making that choice as trump suggested? It makes my blood boil, in this day and age I can't believe some people still want to punish women for making choice for their own body! I thought that kind of thinking is behind us, but apparently Mr trump likes to bring the dark ages back.
@atmi We live in a society where we do not force people to use their bodies to support the life of another-- not with organs, not with blood, not with bone marrow, not with a single cell of their body. It is entirely the choice of the donor whether to offer such. We do not force ANYONE to sacrifice any part of themselves to save others...not because we do not hold life precious (WE DO!), but because we recognize that bodily autonomy is a human right. We do not force anyone else to sustain another life, sacrificing a part or all of themselves in the process, in any other case. Why should we make an exception and violate a woman's right to bodily integrity for the sake of other people's opinions?
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Hemodialysis and Peritoneal Dialysis Market worth $105.1 billion by 2026 - Exclusive Report by MarketsandMarkets™
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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