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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q399-Q404):

NEW QUESTION # 399
A company is adopting AWS CodeDeploy to automate its application deployments for a Java-Apache Tomcat application with an Apache webserver. The Development team started with a proof of concept, created a deployment group for a developer environment, and performed functional tests within the application. After completion, the team will create additional deployment groups for staging and production The current log level is configured within the Apache settings, but the team wants to change this configuration dynamically when the deployment occurs, so that they can set different log level configurations depending on the deployment group without having a different application revision for each group.
How can these requirements be met with the LEAST management overhead and without requiring different script versions for each deployment group?

A. Tag the Amazon EC2 instances depending on the deployment group. Then place a script into the application revision that calls the metadata service and the EC2 API to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference the script as part of the Afterinstall lifecycle hook in the appspec.yml file.
B. Create a script that uses the CodeDeploy environment variable DEPLOYMENT_GROUP_ID to identify which deployment group the instance is part of to configure the log level settings. Reference this script as part of the Install lifecycle hook in the appspec.yml file.
C. Create a script that uses the CodeDeploy environment variable DEPLOYMENT_GROUP_NAME to identify which deployment group the instances is part of. Use this information to configure the log level settings.
Reference this script as part of the BeforeInstall lifecycle hook in the appspec.yml file
D. Create a CodeDeploy custom environment variable for each environment. Then place a script into the application revision that checks this environment variable to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference this script as part of the ValidateService lifecycle hook in the appspec.yml file.

Answer: C

NEW QUESTION # 400
You currently have an Autoscalinggroup that has the following settings
Min capacity-2
Desired capacity - 2
Maximum capacity - 4
The current number of instances running in the Autoscaling Group is 2. You have been notified that for a
duration of an hour, you need to ensure that no new instances are launched by the Autoscaling Group Which
of the below 2 actions can be carried out to fulfil this requirement

A. Change the Maximum capacity to 2
B. Change the Desired capacity to 4
C. Change the Minimum capacity to 2
D. Suspend the Launch process of the Autoscaling Group

Answer: A,D

Explanation:
Explanation
You can temporarily suspend the creation of new instances by either reducing the Maximum capacity to 2, so
that the current instances running which is 2, matches
the maximum limit.
Secondly you can suspend the launch process of the Autoscaling Group
The AWS Documentation mentions
Scaling Processes
Amazon CC2 Auto Scaling supports the following scaling processes:
Launch Adds a new CC2 instance to the group, increasing its capacity. Warning
If you suspend Launch, this disrupts other processes. For example, you can't return an instance in a standby
state to service if the Launch process is suspended, because the group can't scale. For more information on
Autoscaling Suspend and Resume, please visit the below URL:
http://docs.aws.amazon.com/autoscaling/latest/userguide/as-suspend-resu
me-processes.html

NEW QUESTION # 401
A business has an application that consists of five independent AWS Lambda functions. The DevOps Engineer has built a CI/CD pipeline using AWS CodePipeline and AWS CodeBuild that builds, tests, packages, and deploys each Lambda function in sequence. The pipeline uses an Amazon CloudWatch Events rule to ensure the pipeline execution starts as quickly as possible after a change is made to the application source code.
After working with the pipeline for a few months the DevOps Engineer has noticed the pipeline takes too long to complete.
What should the DevOps Engineer implement to BEST improve the speed of the pipeline?

A. Modify each CodeBuild project to run within a VPC and use dedicated instances to increase throughput.
B. Modify the CodePipeline configuration to execute actions for each Lambda function in parallel by specifying the same runOrder.
C. Create a custom CodeBuild execution environment that includes a symmetric multiprocessing configuration to run the builds in parallel.
D. Modify the CodeBuild projects within the pipeline to use a compute type with more available network throughput.

Answer: B

NEW QUESTION # 402
A company has developed an AWS Lambda function that handles orders received through an API. The company is using AWS CodeDeploy to deploy the Lambda function as the final stage of a CI/CD pipeline.
A DevOps Engineer has noticed there are intermittent failures of the ordering API for a few seconds after deployment. After some investigation, the DevOps Engineer believes the failures are due to database changes not having fully propagated before the Lambda function begins executing.
How should the DevOps Engineer overcome this?

A. Add a BeforeAllowTraffichook to the AppSpec file that tests and waits for any necessary database changes before traffic can flow to the new version of the Lambda function
B. Add a ValidateServicehook to the AppSpec file that inspects incoming traffic and rejects the payload if dependent services, such as the database, are not yet ready
C. Add an AfterAllowTraffichook to the AppSpec file that forces traffic to wait for any pending database changes before allowing the new version of the Lambda function to respond
D. Add a BeforeInstallhook to the AppSpec file that tests and waits for any necessary database changes before deploying the new version of the Lambda function

Answer: A

NEW QUESTION # 403
For AWS Auto Scaling, what is the first transition state an instance enters after leaving steady state when
scaling in due to health check failure or decreased load?

A. EnteringStandby
B. Detaching
C. Terminating:Wait
D. Terminating

Answer: D

Explanation:
Explanation
The below diagram shows the Lifecycle policy. When the scale-in happens, the first action is the Terminating
action.

For more information on Autoscaling Lifecycle, please refer to the below link:
* http://docs.aws.amazon.com/autoscaling/latest/userguide/AutoSca
ingGroupLifecycle.html

NEW QUESTION # 404
......

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