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NEW QUESTION: 1
A company has developed a custom tool used in its workflow that runs within a Docker container The company must perform manual steps each time the container code is updated to make the container image available to new workflow executions The company wants to automate this process to eliminate manual effort and ensure a new container image is generated every time the tool code is updated Which combination of actions should a solutions architect take to meet these requirements? (Select THREE.)
A. Configure an AWS CodePipeline pipeline that sources the tool code from the AWS CodeCommit repository and initiates an AWS CodeDeptoy application update
B. Configure an Amazon ECR repository for the tool Configure an AWS CodeCommit repository containing code for the tool being deployed to the container image in Amazon ECR
C. Configure an AWS CodeBuild project that pulls the latest tool container image from Amazon ECR, updates the container with code from the source AWS CodeCommit repository, and pushes the updated container image to Amazon ECR
D. Configure an AWS CodeDeptoy application that triggers an application version update that pulls the latest tool container image from Amazon ECR, updates the container with code from the AWS CodeCommrt repository, and pushes the updated container image to Amazon ECR.
E. Configure an Amazon EventBridge rule that triggers on commits to the AWS CodeCommrt repository for the tool Configure the event to trigger an update to the tool container image in Amazon ECR Push the updated container image to Amazon ECR
F. Configure an AWS CodePipeline pipeline that sources the tool code from the AWS CodeCommit repository and initiates an AWS CodeBuild build
Answer: B,C,F
Explanation:
Explanation
https://aws.amazon.com/fr/blogs/devops/build-a-continuous-delivery-pipeline-for-your-container-images-with-am

NEW QUESTION: 2
特徴抽出方法を選択する必要があります。
どの方法を使用する必要がありますか？
A. ムードの中央値検定
B. 相互情報
C. 順列機能の重要性
D. ケンドール相関
Answer: D
Explanation:
In statistics, the Kendall rank correlation coefficient, commonly referred to as Kendall's tau coefficient (after the Greek letter τ), is a statistic used to measure the ordinal association between two measured quantities.
It is a supported method of the Azure Machine Learning Feature selection.
Scenario: When you train a Linear Regression module using a property dataset that shows data for property prices for a large city, you need to determine the best features to use in a model. You can choose standard metrics provided to measure performance before and after the feature importance process completes. You must ensure that the distribution of the features across multiple training models is consistent.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/feature-selection-modules

NEW QUESTION: 3
Which of the following are allowed to be written to the disk space for the data volumes in an SAP HANA system? (Choose two)
A. Backup data files
B. Log files
C. Data exports
D. Runtime dump files
Answer: C,D