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NEW QUESTION: 1
How does the Software Management Framework improve software management?
A. It allows for comprehensive tracking of software execution statistics.
B. It allows the creation of a single policy to install a software title and ensures that it remains properly installed.
C. It allows software titles to be associated to software licenses and purchases.
D. It allows for a single view of current deployments and cost details based on current installations and purchasing details.
Answer: B
NEW QUESTION: 2
The Analyst needs to segment Data Warehouse report for mobile visits from the social, media channel. In the segment manager of Adobe Analytics following segments exist:
1. Social media visits (visits where the marketing channel is social media)
2. Mobile visits (visits where mobile device exists)
What should the analyst do to segment the data warehouse report for mobile visits from the social media channel?
A. Export two files of "mobile" and "social media channel" and use Excel to manipulate the data
B. Use segment stacking to combine both segments above and apply that to the Data Warehouse request
C. Configure the data warehouse request so that two data sets are returned, one with each segment applied
D. Create a new segment for mobile visits from the social media channel
Answer: A
NEW QUESTION: 3
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 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.
C. 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.
D. 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.
Answer: D