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NEW QUESTION: 1
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 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.
B. 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.
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: A
Explanation:
https://docs.aws.amazon.com/AmazonECS/latest/developerguide/ecs-cd-pipeline.html
NEW QUESTION: 2
What are the features of full memory desktop?
A. Due to the in-memory data deduplication feature, the full-memory desktop requires less physical memory resources than the linked-clone desktop.
B. Always delete the parent volume data online, and the subsequent sub-volume data does not deduplicate
C. The system disk data of the full-memory desktop is stored in the memory, so the data in the full-memory desktop will be lost when the server suddenly loses power.
D. Full memory desktop provides higher IOPS performance than linked-clone desktops with the same storage
Answer: D
NEW QUESTION: 3
The creation of which four database objects will cause a DDL trigger to fire? (Choose four.)
A. database links
B. synonyms
C. index
D. package
E. function
F. dimensions
G. cluster
Answer: C,D,E,G
NEW QUESTION: 4
Which of the following is information that Netflow v5 provides to the Cascade solution? (Select 2)
A. Layer 4 Protocol Type
B. TCP Checksum Validation Result
C. End time of Flow
D. Source MAC address
Answer: A,C