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[January-2022]New Braindump2go DP-100 PDF Dumps(Q299-Q307)

QUESTION 299
You use Azure Machine Learning to train a model based on a dataset named dataset1.
You define a dataset monitor and create a dataset named dataset2 that contains new data.
You need to compare dataset1 and dataset2 by using the Azure Machine Learning SDK for Python.
Which method of the DataDriftDetector class should you use?

B.get
C.backfill
D.update

Answer: C

QUESTION 300
You use an Azure Machine Learning workspace.
You have a trained model that must be deployed as a web service. Users must authenticate by using Azure Active Directory.
What should you do?

A.Deploy the model to Azure Kubernetes Service (AKS). During deployment, set the token_auth_enabled parameter of the target configuration object to true
B.Deploy the model to Azure Container Instances. During deployment, set the auth_enabled parameter of the target configuration object to true
C.Deploy the model to Azure Container Instances. During deployment, set the token_auth_enabled parameter of the target configuration object to true
D.Deploy the model to Azure Kubernetes Service (AKS). During deployment, set the auth.enabled parameter of the target configuration object to true

Answer: A

QUESTION 301
You have a Jupyter Notebook that contains Python code that is used to train a model.
You must create a Python script for the production deployment. The solution must minimize code maintenance.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A.Refactor the Jupyter Notebook code into functions
B.Save each function to a separate Python file
C.Define a main() function in the Python script
D.Remove all comments and functions from the Python script

Answer: AC

QUESTION 302
You train and register a machine learning model. You create a batch inference pipeline that uses the model to generate predictions from multiple data files.
You must publish the batch inference pipeline as a service that can be scheduled to run every night.
You need to select an appropriate compute target for the inference service.
Which compute target should you use?

A.Azure Machine Learning compute instance
B.Azure Machine Learning compute cluster
C.Azure Kubernetes Service (AKS)-based inference cluster
D.Azure Container Instance (ACI) compute target

Answer: B

QUESTION 303
You use the Azure Machine Learning designer to create and run a training pipeline.
The pipeline must be run every night to inference predictions from a large volume of files. The folder where the files will be stored is defined as a dataset.
You need to publish the pipeline as a REST service that can be used for the nightly inferencing run.
What should you do?

A.Create a batch inference pipeline
B.Set the compute target for the pipeline to an inference cluster
C.Create a real-time inference pipeline
D.Clone the pipeline

Answer: A

QUESTION 304
You create a binary classification model. The model is registered in an Azure Machine Learning workspace. You use the Azure Machine Learning Fairness SDK to assess the model fairness.
You develop a training script for the model on a local machine.
You need to load the model fairness metrics into Azure Machine Learning studio.
What should you do?

A.Implement the download_dashboard_by_upload_id function
B.Implement the create_group_metric_set function
C.Implement the upload_dashboard_dictionary function
D.Upload the training script

Answer: C

QUESTION 305
You have a dataset that includes confidential data. You use the dataset to train a model.
You must use a differential privacy parameter to keep the data of individuals safe and private.
You need to reduce the effect of user data on aggregated results.
What should you do?

A.Decrease the value of the epsilon parameter to reduce the amount of noise added to the data
B.Increase the value of the epsilon parameter to decrease privacy and increase accuracy
C.Decrease the value of the epsilon parameter to increase privacy and reduce accuracy
D.Set the value of the epsilon parameter to 1 to ensure maximum privacy

Answer: C

QUESTION 306
Hotspot Question
You are using an Azure Machine Learning workspace. You set up an environment for model testing and an environment for production.
The compute target for testing must minimize cost and deployment efforts. The compute target for production must provide fast response time, autoscaling of the deployed service, and support real-time inferencing.
You need to configure compute targets for model testing and production.
Which compute targets should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:

QUESTION 307
Drag and Drop Question
You are using a Git repository to track work in an Azure Machine Learning workspace.
You need to authenticate a Git account by using SSH.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:


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Thang nhôm gấp chữ A 4 bậc NIKITA AD04 Thang nhôm gấp trượt chữ a NIKITA AD04 có đặc điểm bao gồm 4 đoạn. Các đoạn được cố định với nhau bởi các chốt cố định rất to rất chắc chắn. Thang nhôm trượt là giải pháp hoàn toàn phù hợp với những người thường xuyên lao động trên cao. Thang có khả năng biến hóa linh hoạt thành thang chữ I, thang chữ A và thu gọn để cất giữ. Thông số kỹ thuật Thương hiệu: NIKITA Tiêu chuẩn an toàn: EN131 (EU) Công nghệ sản xuất: Nhật Bản Chất liệu: Khung, bậc bằng hộp kim nhôm, khóa tự động bằng thép Màu sắc: Khung trắng, chi tiết nhựa cam Tải trọng an toàn: 150 kg Chiều cao chữ A nhỏ nhất: 1.32m Chiều cao chữ A lớn nhất: 2.01m Chiều cao chữ I nhỏ nhất: 2.54m Chiều cao chữ I lớn nhất: 4.02m Trọng lượng 12.4kg Tải trọng tối đa 150kg Đặc điểm của Thang nhôm trượt Nikita AD04 Thang nhôm hợp kim sơn tĩnh điện Thang nhôm gấp đa năng NIKITA AD04 là dòng thang gấp sử hữu cấu hình vừa dạng thang chữ A vừa là thang trượt. Thang đảm báo sử dụng tất cả các tư thế và tính năng nhưng chỉ nặng 12kg, và lúc rút gọn chỉ còn 1,32m, giúp bạn thoải mái vận chuyển sản phẩm, mang vác hay cất giữ. Dễ dàng chuyển đổi và điều chỉnh chiều cao Phần bên trong của thang nhôm Nikita cho phép xếp thành ba vị trí: Thang chữ I kéo dài, Thang chữ A, Xếp gọn lại cất vào kho. Mỗi cấu hình có thể thực hiện bằng cách sử dụng lẫy hóa gẩy tự động ở hai bên của thang. Chiều cao duỗi thẳng tối đa 4,47m, chiều cao chữ A thấp nhất là 1,32cm, chiều cao chữ A cao nhất là 2,21m. Trọng lượng: 12kg. Tải trọng 150kg, tiêu chuẩn EN131. Lẫy khóa tự động Bậc thang nhôm rộng và khoảng cách giữa các bậc rất ngắn. Giúp người leo lên xuống an toàn và thoải mái. Khóa thang: Thang nhôm gấp cơ chế dạng chữ a lồng trong vỏ sử dụng khóa tự động khi mở đến cữ khóa tự động sập lại Công dụng của Thang nhôm trượt Nikita AD04 Thang chữ A Nikita có thể đặt được ở nhiều vị trí khác nhau Là thang rút đa chức năng sử dụng được nhiều địa hình phức tạp khác nhau. Như trên các bậc thang, nhà có mái vòm, địa hình đồi núi… Có thể sử dụng vào những việc khác nhau. Như dọn dẹp nhà cửa, vệ sinh cửa kính, lau chùi các vật dụng, sơn tường,… Giới thiệu dòng thang nhôm Nikita-AD Đặc điểm Thang nhôm gấp chữ A có kích thước đa dạng Thang nhôm được thiết kế với 4 khúc, sử dụng khóa tự động. Khi mở đến cữ khóa sẽ tự động sập lại. Bậc thang rộng và khoảng các giữa các bậc được rút ngắn, tạo sự thoải mái và an toàn hơn trong quá trình di chuyển lên xuống. Thang nhôm gấp chữ A Nikita hoạt động đa năng, người dùng có thể gấp, rút hoặc duỗi thẳng, tạo sự linh hoạt trong quá trình làm việc. Sản phẩm được thiết kế nhỏ gọn, có thể dễ dàng gấp lại hoặc rút ra khi cần thiết. Được làm bằng chất liệu nhôm cao cấp, chống va đập, móp méo và cho tuổi thọ lâu dài. Hướng dẫn sử dụng thang nhôm gấp chữ A Nikita an toàn Quy tắc an toàn chung của các loại thang cũng được áp dụng cho thang nhôm NIKITA-AD. Cụ thể như sau: Thang phải được sử dụng ở trên mặt phẳng và chắc chắn. Không nên sử dụng thang khi bạn đang đeo găng tay có dầu mỡ, trơn trượt / hoặc giày dép không đủ an toàn Bậc thang, bề mặt sàn, điểm tựa thang…không nên để dính dầu mỡ vào. Tuyệt đối không để nhiều người làm việc trên một chiếc thang nếu thang chỉ thiết kế dành cho một người. Không bao giờ được nhảy hoặc trượt xuống từ một cái thang. Các ống thang phải được giữ sạch. Các vết bẩn, keo trét, vệt sơn… cần phải được chùi sạch sau khi sử dụng. Các bậc thang cũng phải được chùi sạch. Không sử dụng thang quá tải trọng cho phép. -------------------------------------------------- NIKITA OUTLET- nhà phân phối các sản phẩm giường bệnh, thang nhôm, ghế xếp, giường gấp gọn,... lớn nhất của thương hiệu NIKITA tại Việt Nam. Địa chỉ: 138/11 đường số 20, P5, Gò Vấp. Website: www.nikitaoutlet.com Hotline: 0933.74.3030