QUESTION: 25

A development team is using AWS CodeCommit to version control application code and AWS CodePipeline to orchestrate software deployments. The team has decided to use a remote master branch as the trigger for the pipeline to integrate code changes. A developer has pushed code changes to the CodeCommit repository, but noticed that the pipeline had no reaction, even after 10 minutes.
Which of the following actions should be taken to troubleshoot this issue?

Check that an Amazon CloudWatch Events rule has been created for the master branch to trigger the pipeline.
Check that the CodePipeline service role has permission to access the CodeCommit repository.
Check that the developer's IAM role has permission to push to the CodeCommit repository.
Check to see if the pipeline failed to start because of CodeCommit errors in Amazon CloudWatch Logs.

Answer(s): A

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QUESTION: 26

A DevOps engineer is deploying a new version of a company's application in an AWS CodeDeploy deployment group associated with its Amazon EC2 instances.
After some time, the deployment fails. The engineer realizes that all the events associated with the speci c deployment ID are in a Skipped status, and code was not deployed in the instances associated with the deployment group.
What are valid reasons for this failure? (Choose two.)

The networking con guration does not allow the EC2 instances to reach the internet via a NAT gateway or internet gateway, and the CodeDeploy endpoint cannot be reached.
The IAM user who triggered the application deployment does not have permission to interact with the CodeDeploy endpoint.
The target EC2 instances were not properly registered with the CodeDeploy endpoint.
An instance pro le with proper permissions was not attached to the target EC2 instances.
The appspec.yml le was not included in the application revision.

Answer(s): A,D

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QUESTION: 27

A company has an application that is using a MySQL-compatible Amazon Aurora Multi-AZ DB cluster as the database. A cross-Region read replica has been created for disaster recovery purposes. A DevOps engineer wants to automate the promotion of the replica so it becomes the primary database instance in the event of a failure.
Which solution will accomplish this?

Con gure a latency-based Amazon Route 53 CNAME with health checks so it points to both the primary and replica endpoints. Subscribe an Amazon SNS topic to Amazon RDS failure noti cations from AWS CloudTrail and use that topic to trigger an AWS Lambda function that will promote the replica instance as the master.
Create an Aurora custom endpoint to point to the primary database instance. Con gure the application to use this endpoint. Con gure AWS CloudTrail to run an AWS Lambda function to promote the replica instance and modify the custom endpoint to point to the newly promoted instance.
Create an AWS Lambda function to modify the application's AWS Cloud Formation template to promote the replica, apply the template to update the stack, and point the application to the newly promoted instance. Create an Amazon CloudWatch alarm to trigger this Lambda function after the failure event occurs.
Store the Aurora endpoint in AWS Systems Manager Parameter Store. Create an Amazon EventBridge (Amazon CloudWatch Events) event that defects the database failure and runs an AWS Lambda function to promote the replica instance and update the endpoint URL stored in AWS Systems Manager Parameter Store. Code the application to reload the endpoint from Parameter Store if a database connection fails.

Answer(s): D

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QUESTION: 28

An application has microservices spread across different AWS accounts and is integrated with an on-premises legacy system for some of its functionality.
Because of the segmented architecture and missing logs, every time the application experiences issues, it is taking too long to gather the logs to identify the issues. A DevOps Engineer must x the log aggregation process and provide a way to centrally analyze the logs.
Which is the MOST e cient and cost-effective solution?

Collect system logs and application logs by using the Amazon CloudWatch Logs agent. Use the Amazon S3 API to export on-premises logs, and store the logs in an S3 bucket in a central account. Build an Amazon EMR cluster to reduce the logs and derive the root cause.
Collect system logs and application logs by using the Amazon CloudWatch Logs agent. Use the Amazon S3 API to import on-premises logs.
Store all logs in S3 buckets in individual accounts. Use Amazon Macie to write a query to search for the required speci c event-related data point.
Collect system logs and application logs using the Amazon CloudWatch Logs agent. Install the CloudWatch Logs agent on the on-premises servers. Transfer all logs from AWS to the on-premises data center. Use an Amazon Elasticsearch Logstash Kibana stack to analyze logs on premises.
Collect system logs and application logs by using the Amazon CloudWatch Logs agent. Install a CloudWatch Logs agent for on-premises resources. Store all logs in an S3 bucket in a central account. Set up an Amazon S3 trigger and an AWS Lambda function to analyze incoming logs and automatically identify anomalies. Use Amazon Athena to run ad hoc queries on the logs in the central account.

Answer(s): D

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