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NEW QUESTION: 1
開発者は、発行されるSOQLクエリの数がプラットフォームガバナーの制限を超えないように、次のコードスニペットを変更する必要があります。 OpportunityService（public static List <OpportunityLineItem> getOpportunityProducts（Set <Id> OpportunityIds）{List <OpportunitylineItem> oppLineItems = new List <OpportunityLineItem>（）; for（Id thisOppId：
OpportunityIds）{oppLineItems.addAll（[Select Id FROM OpportunityLineItems WHERE OpportunityId =：thisOppId）]; } return oppLineItems;上記のメソッドは、Lightningコンポーネントを介したトリガーの実行中に呼び出される可能性があります。ガバナーの制限に達しないようにするには、どの手法を実装する必要がありますか？
A. System.Limits.getlimitQueries（）メソッドを使用して、クエリの数が100未満であることを確認します。
B. 上記のコードをリファクタリングして、1つのSOQLクエリのみを実行し、opportunityIdのセットでフィルタリングします。
C. 上記のコードを反映して、opportunityIdsのセットに含まれるIDが100未満の場合にのみSOQLクエリを実行します。
D. System.Limits.getQueries（）メソッドを使用して、クエリの数が100未満であることを確認します。
Answer: D

NEW QUESTION: 2
A global company with distributed Development teams built a web application using a microservices architecture running on Amazon ECS. Each application service is independent and runs as a service in the ECS cluster. The container build files and source code reside in a private GitHub source code repository.
Separate ECS clusters exist for development, testing, and production environments.
Developers are required to push features to branches in the GitHub repository and then merge the changes into an environment-specific branch (development, test, or production). This merge needs to trigger an automated pipeline to run a build and a deployment to the appropriate ECS cluster.
What should the DevOps Engineer recommend as an automated solution to these requirements?
A. Create a new repository in AWS CodeCommit. Configure a scheduled project in AWS CodeBuild to synchronize the GitHub repository to the new CodeCommit repository. Create a separate pipeline for each environment triggered by changes to the CodeCommit repository. Add a stage using AWS Lambda to build the container image and push to Amazon ECR. Then add another stage to update the ECS task and service definitions in the appropriate cluster for that environment.
B. Create a separate pipeline in AWS CodePipeline for each environment. Trigger each pipeline based on commits to the corresponding environment branch in GitHub. Add a build stage to launch AWS CodeBuild to create the container image from the build file and push it to Amazon ECR. Then add another stage to update the Amazon ECS task and service definitions in the appropriate cluster for that environment.
C. Create an AWS CloudFormation stack for the ECS cluster and AWS CodePipeline services. Store the container build files in an Amazon S3 bucket. Use a post-commit hook to trigger a CloudFormation stack update that deploys the ECS cluster. Add a task in the ECS cluster to build and push images to Amazon ECR, based on the container build files in S3.
D. Create a pipeline in AWS CodePipeline. Configure it to be triggered by commits to the master branch in GitHub. Add a stage to use the Git commit message to determine which environment the commit should be applied to, then call the create-image Amazon ECR command to build the image, passing it to the container build file. Then add a stage to update the ECS task and service definitions in the appropriate cluster for that environment.
Answer: C

NEW QUESTION: 3
Licensing and accrediting bodies have relied heavily on structural measures of quality not only because the measures
are relatively stable and thus easier to capture but:
A. They reliably identify providers who demonstrably la means to deliver high quality care
B. They reliably identify physicians
C. They reliably indentify providers who are cheap
D. They can never la the means to deliver high quality care
Answer: A