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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q70-Q75):

NEW QUESTION # 70
An Application team has three environments for their application: development, pre-production, and production. The team recently adopted AWS CodePipeline. However, the team has had several deployments of misconfigured or nonfunctional development code into the production environment, resulting in user disruption and downtime. The DevOps Engineer must review the pipeline and add steps to identify problems with the application before it is deployed.
What should the Engineer do to identify functional issues during the deployment process?
(Choose two.)

A. Add an AWS CodeDeploy action in the pipeline to deploy the latest version of the development code to pre-production. Add a manual approval action in the pipeline so that the QA team can test and confirm the expected functionality. After the manual approval action, add a second CodeDeploy action that deploys the approved code to the production environment.
B. Create an AWS CodeDeploy action in the pipeline with a deployment configuration that automatically deploys the application code to a limited number of instances. The action then pauses the deployment so that the QA team can review the application functionality. When the review is complete, CodeDeploy resumes and deploys the application to the remaining production Amazon EC2 instances.
C. After the deployment process is complete, run a testing activity on an Amazon EC2 instance in a different region that accesses the application to simulate user behavior if unexpected results occur, the testing activity sends a warning to an Amazon SNS topic. Subscribe to the topic to get updates.
D. Using AWS CodeBuild to add a test action to the pipeline to replicate common user activities and ensure that the results are as expected before progressing to production deployment.
E. Use Amazon Inspector to add a test action to the pipeline. Use the Amazon Inspector Runtime Behavior Analysis Inspector rules package to check that the deployed code complies with company security standards before deploying it to production.

Answer: A,D

Explanation:
https://docs.aws.amazon.com/codepipeline/latest/userguide/integrations-action- type.html#integrations-test
https://docs.aws.amazon.com/codepipeline/latest/userguide/integrations-action- type.html#integrations-deploy

NEW QUESTION # 71
You have an application running a specific process that is critical to the application's functionality, and have added the health check process to your Auto Scaling Group. The instances are showing healthy but the application itself is not working as it should. What could be the issue with the health check, since it is still showing the instances as healthy.

A. The health check is not configured properly
B. You do not have the time range in the health check properly configured
C. It is not possible for a health check to monitor a process that involves the application
D. The health check is not checking the application process

Answer: D

Explanation:
If you have custom health checks, you can send the information from your health checks to Auto Scaling so that Auto Scaling can use this information. For example, if
you determine that an instance is not functioning as expected, you can set the health status of the instance to Unhealthy. The next time that Auto Scaling performs a
health check on the instance, it will determine that the instance is unhealthy and then launch a replacement instance
For more information on Autoscaling health checks, please refer to the below document link: from AWS
http://docs.aws.a mazon.com/autoscaling/latest/userguide/healthcheck.html

NEW QUESTION # 72
You need to create an audit log of all changes to customer banking data. You use DynamoDB to store this customer banking data. It's important not to lose any information due to server failures. What is an elegant way to accomplish this?

A. Use a DynamoDB StreamSpecification and periodically flush to an EC2 instance store, removing sensitive information before putting the objects. Periodically flush these batches to S3.
B. Before writing to DynamoDB, do a pre-write acknoledgment to disk on the application server, removing sensitive information before logging. Periodically pipe these files into CloudWatch Logs.
C. Before writing to DynamoDB, do a pre-write acknoledgment to disk on the application server, removing sensitive information before logging. Periodically rotate these log files into S3.
D. Use a DynamoDB StreamSpecification and stream all changes to AWS Lambda. Log the changes to AWS CloudWatch Logs, removing sensitive information before logging.

Answer: D

Explanation:
Explanation
You can use Lambda functions as triggers for your Amazon DynamoDB table. Triggers are custom actions you take in response to updates made to the DynamoDB table. To create a trigger, first you enable Amazon DynamoDB Streams for your table. Then, you write a Lambda function to process the updates published to the stream.
For more information on DynamoDB with Lambda, please visit the below URL:
* http://docs.aws.amazon.com/lambda/latest/dg/with-ddb.html

NEW QUESTION # 73
A mobile application running on eight Amazon EC2 instances is relying on a third-party API endpoint. The third-party service has a high failure rate because of limited capacity which is expected to be resolved in a few weeks.
In the meantime the mobile application developers have added a retry mechanism and are logging failed API requests. A DevOps Engineer must automate the monitoring of application togs and count the specific error messages if there are more than 10 errors within a 1-minute window the system must issue an alert
How can the requirements be met with MINIMAL management overhead?

A. Install AfterAllowTraffic hook to the AppSpec file that forces traffic
not having fully propagated before the
push the application logs to CloudWatch Logs Use metric fitters to count the error messages every minute and trigger a CloudWatch alarm if the count exceeds errors.
B. Install the Amazon CloudWatch Logs agent on all instances to push the application logs to CloudWatch Logs Use a metric filter to generate a custom CloudWatch metric that records the number of failures and triggers a CloudWatch alarm if the custom metric reaches 10 errors in a 1-mmute period
C. Install the Amazon CloudWatch Logs agent on all instances to push the access logs to CloudWatch Logs Create a CloudWatch Events rule to count the error messages every minute and trigger a CloudWatch alarm if the count exceeds 10 errors
D. Deploy a custom script on all instances to check application logs regularly in a job Count the number of error messages every minute and push a data point to a custom CloudWatch metric Trigger a CloudWatch alarm if the custom metric reaches 10 errors in a 1-minute period

Answer: B

NEW QUESTION # 74
You have an Auto Scaling group of Instances that processes messages from an Amazon Simple Queue Service (SQS) queue. The group scales on the size of the queue. Processing Involves calling a third-party web service.
The web service is complaining about the number of failed and repeated calls it is receiving from you. You have noticed that when the group scales in, instances are being terminated while they are processing. What cost-effective solution can you use to reduce the number of incomplete process attempts?

A. Create a new Auto Scaling group with minimum and maximum of 2 and instances running web proxy software. Configure the VPC route table to route HTTP traffic to these web proxies.
B. Modify the application running on the instances to put itself into an Auto Scaling Standby state while it processes a task and return itself to InService when the processing is complete.
C. Increase the minimum and maximum size for the Auto Scalinggroup, and change the scaling policies so they scale less dynamically.
D. Modify the application running on the instances to enable termination protection while it processes a task and disable it when the processing is complete.

Answer: B

Explanation:
Explanation
The following diagram shows the lifecycle of the instances in Autoscaling

You can put the instances in a standby state, via the application, do the processing and then put the instance back in a state where it can be governed by the Autoscaling Group.
For more information on the Autoscaling Group Lifecycle please refer to the below link:
* http://docs.aws.amazon.com/autoscaling/latest/userguide/AutoScaingGroupl_ifecycle.htm I Note: As per AWS documentation.
To control whether an Auto Scaling group can terminate a particular instance when scaling in, use instance protection.
It is termed as Instance protection rather than termination protection when we refer it with "Scaling in process" of ASG.
For more information please view the following link:
https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-instance-termination.htmlffinstance-protection-instan

NEW QUESTION # 75
......

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