DVA-C02 Deployment Practice Test 14 — 15 Questions

Question 1

A company is using AWS CodePipeline with a multi-branch strategy. The pipeline includes a source stage from AWS CodeCommit, a build stage using AWS CodeBuild, and a deploy stage using AWS CodeDeploy. The team wants to automatically deploy changes only when a pull request is merged to the 'main' branch. Which configuration should be used?

Choose an answer to begin — your selection is scored in the full session.

Accepted Answer

Configure a CodeCommit trigger to start the pipeline on push events to the 'main' branch.. Option A is correct because a CodeCommit repository trigger configured for push events on the 'main' branch will start the pipeline exactly when a merge commit is pushed to main, which is the desired behavior for deploying only merged pull requests. This is the standard, event-driven way to integrate CodeCommit with CodePipeline for branch-specific deployments. Option B is wrong because manual approval is a pipeline action that gates a deployment after it has already started, not a trigger mechanism, and it cannot itself detect a pull request merge. Option C is wrong because hourly scheduled runs are not event-driven and would deploy at arbitrary times, potentially including unmerged or stale changes. Option D is wrong because periodic polling is a legacy change-detection method that does not specifically react to a merge to 'main' and adds latency.

Answer

Create a manual approval step before deployment and require a pull request merge as a trigger.

Answer

Use a scheduled trigger to run the pipeline every hour and check for changes.

Answer

Configure the source stage to use the 'main' branch and enable periodic polling.

Question 2

A company uses AWS OpsWorks for configuration management. They want to migrate to AWS Systems Manager for patching and automation. They have a fleet of EC2 instances running Amazon Linux 2. Which Systems Manager capability should they use to automate patching?

Accepted Answer

Patch Manager. AWS Systems Manager Patch Manager is the capability specifically designed to automate the process of patching managed nodes, including EC2 instances running Amazon Linux 2. It uses patch baselines to define approved patches and can apply them on a schedule via maintenance windows or on demand. This directly replaces the patching functionality previously provided by OpsWorks.

Answer

State Manager

Answer

Run Command

Answer

Maintenance Windows

Question 3

A company uses AWS CodeBuild to compile and test a Java application. The build process takes a long time because dependencies are downloaded every time. Which TWO actions can reduce build time? (Choose TWO.)

Accepted Answer

Enable local caching in the CodeBuild project to reuse dependency files between builds.. Option D is correct because enabling local caching in the CodeBuild project (e.g., LOCAL_SOURCE_CACHE, LOCAL_DOCKER_LAYER_CACHE, or a local cache for dependency directories) lets CodeBuild retain downloaded dependencies on the build host between builds, so Maven/Gradle artifacts are not re-downloaded each time, directly cutting build duration. Option E is correct because CodeBuild supports S3 caching, where dependency files (such as the Maven ~/.m2 or Gradle ~/.gradle directories) are uploaded to an S3 bucket after a build and restored at the start of subsequent builds, eliminating repeated downloads even across fresh hosts. Option A is not correct because increasing compute type only adds CPU/memory and does not address the network-bound dependency download bottleneck, so it does not reliably reduce the time spent fetching dependencies. Option B is not correct because changing the build runtime to a 'faster-compiling language' is not applicable—the application is Java and the runtime must support Java compilation. Option C is not correct because running builds in parallel increases throughput of multiple builds but does not shorten the duration of an individual build's dependency download phase.

Answer

Increase the compute type of the build environment to have more CPU and memory.

Answer

Change the build runtime to a language that compiles faster.

Answer

Configure the build project to run builds in parallel.

Question 4

A developer is deploying a new version of a Lambda function using the AWS CLI. Which command should the developer use to update the function code?

Accepted Answer

aws lambda update-function-code. The AWS CLI command `aws lambda update-function-code` is specifically designed to update the code of an existing Lambda function. It allows you to specify the function name and the location of the new code (e.g., S3 bucket and key, or a local zip file). This is the correct command for deploying a new version of the function code.

Answer

aws lambda update-function-configuration

Answer

aws lambda invoke

Answer

aws lambda create-function

Question 5

A company uses AWS CodeDeploy to deploy a web application to an Auto Scaling group. The deployment fails with a 'ScriptMissing' error. What is the most likely cause?

Accepted Answer

The lifecycle event hook script referenced in appspec.yml is not present.. The 'ScriptMissing' error occurs when the appspec.yml file references a lifecycle event hook script that is not present in the application revision. CodeDeploy expects the script to exist at the specified path. Option A is incorrect: the deployment group can be configured for an Auto Scaling group, and that is not the cause of ScriptMissing. Option B is incorrect: buildspec.yml is used by AWS CodeBuild, not CodeDeploy. Option C is incorrect: while the application revision must be stored in S3 (or GitHub), the error is not about the bucket location but about a missing script within the revision.

Answer

The deployment group is not configured for an Auto Scaling group.

Answer

The buildspec.yml file is missing from the application root.

Answer

The application revision is not stored in an S3 bucket.

Question 6

A company uses AWS CodePipeline to automate releases. The pipeline includes a source stage from CodeCommit, a build stage with CodeBuild, and a deploy stage with CodeDeploy. The build stage fails intermittently due to insufficient memory. What should the developer do to resolve this?

Accepted Answer

Increase the compute type of the CodeBuild project.. AWS CodeBuild allows you to increase the compute type of the build project, which provides more memory and CPU resources, directly addressing the insufficient memory issue. Option B (changing deployment configuration) only affects the CodeDeploy stage and not the build stage. Option C (switching source to S3) does not resolve memory constraints. Option D (modifying buildspec.yml to use less memory) may help but is not a reliable solution and might require application changes; increasing the compute type is a more direct and effective fix.

Answer

Change the deployment configuration to CodeDeploy.Default.AllAtOnce.

Answer

Switch the source to an S3 bucket.

Answer

Modify the buildspec.yml to use less memory.

Question 7

A developer is deploying a serverless application using AWS SAM. The developer runs 'sam deploy' but receives an error that the S3 bucket does not exist. How should the developer fix this?

Accepted Answer

Create an S3 bucket and specify it with --s3-bucket.. AWS SAM requires an S3 bucket to store the packaged application artifacts (Lambda code, nested stacks) during deployment. If the bucket specified (or the default SAM-managed bucket) does not exist, the developer must create an S3 bucket and pass it via the --s3-bucket parameter to sam deploy.

Answer

Use sam publish to deploy the application.

Answer

Run sam build to generate the bucket.

Answer

Run sam package to create the bucket automatically.

Question 8

A company uses AWS OpsWorks for configuration management. They want to deploy a new application version to a stack. Which lifecycle event should they use to run deployment scripts?

Accepted Answer

Deploy. The Deploy lifecycle event in AWS OpsWorks is specifically designed to run deployment scripts when you deploy a new application version to a stack. This event occurs after the application code has been installed, allowing you to execute custom scripts for tasks like database migrations, cache clearing, or service restarts. It is the correct choice because it aligns with the deployment phase of the application lifecycle.

Answer

Configure

Answer

Undeploy

Answer

Setup

Question 9

A developer is using AWS CloudFormation to create a stack that includes an EC2 instance. The stack creation fails because the instance type is not supported in the selected Availability Zone. What should the developer do?

Accepted Answer

Update the stack to specify a different subnet or not specify an Availability Zone.. When an EC2 instance type is not supported in a specific Availability Zone (AZ), the developer can update the CloudFormation stack to either specify a different subnet (which implicitly selects a different AZ) or omit the Availability Zone parameter entirely, allowing AWS to automatically choose an AZ where the instance type is supported. This avoids the need to delete the stack or change the instance type, preserving other stack resources and configurations.

Answer

Delete the stack and start over.

Answer

Change the instance type to one that is supported.

Answer

Create the stack in a different region.

Question 10

A developer uses AWS CodeBuild to run unit tests. The build succeeds but the tests fail. The developer wants to fail the build if tests fail. What should the developer do?

Accepted Answer

Ensure the test command exits with a non-zero status on failure.. In CodeBuild, the build phase succeeds or fails based on the exit code of the commands in the buildspec. By default, if a test command exits with a non-zero status, CodeBuild marks the build as FAILED. Therefore, ensuring the test command exits with a non-zero status on failure is the correct approach to fail the build when tests fail.

Answer

Run tests in the post_build phase.

Answer

Set the command to always exit 0.

Answer

Enable build badges.

Question 11

Which TWO deployment methods can be used to update an AWS Lambda function with no downtime? (Select TWO.)

Accepted Answer

Use a weighted alias to gradually shift traffic to a new version.. A weighted alias allows you to route a small percentage of traffic to a new Lambda version while keeping the majority on the current version, enabling canary deployments with zero downtime. Option C is correct because creating a new version and updating the alias to point to it performs an instant, atomic switch, ensuring all traffic is served by the new version without any interruption.

Answer

Update the function code using update-function-code.

Answer

Create a new Lambda function and delete the old one.

Answer

Update the function configuration to increase memory.

Question 12

A developer is deploying a web application using AWS Elastic Beanstalk. Which TWO configuration files can be used to customize the software that runs on the EC2 instances? (Select TWO.)

Accepted Answer

.platform/hooks/. The `.platform/hooks/` directory is a feature of Elastic Beanstalk's platform-specific configuration that allows you to run custom scripts at specific lifecycle events (e.g., prebuild, postdeploy) on the EC2 instances. This is the modern replacement for the older `.ebextensions` approach for running commands during deployment, and it directly customizes the software running on the instances.

Answer

Dockerfile

Answer

appspec.yml

Answer

buildspec.yml

Question 13

Which THREE steps are required to set up a continuous delivery pipeline using AWS CodePipeline, CodeBuild, and CodeDeploy? (Select THREE.)

Accepted Answer

Create a deploy stage with CodeDeploy to deploy the artifacts.. Option B is correct because a CodePipeline continuous delivery pipeline requires a deploy stage, and CodeDeploy is the AWS service used in that stage to deploy the built artifacts to targets such as EC2 instances, Lambda functions, or ECS services. Option D is correct because CodeBuild provides the build stage where the source code is compiled, tested, and packaged into deployable artifacts, which is a core step in a CodePipeline workflow. Option E is correct because every CodePipeline must begin with a source stage that retrieves the code from a repository such as AWS CodeCommit, GitHub, or Amazon S3, which then triggers the pipeline on changes. Option A is incorrect because CodePipeline and CodeDeploy do not require an Amazon RDS database to store deployment logs; logs are handled by CloudWatch Logs and S3 artifacts. Option C is incorrect because CodePipeline is natively triggered by source changes or EventBridge rules, not by a custom Lambda function, so creating a Lambda trigger is not a required setup step.

Answer

Set up an Amazon RDS database to store deployment logs.

Answer

Configure an AWS Lambda function to trigger the pipeline.

Question 14

A developer is deploying a new version of a Lambda function using AWS CodeDeploy with a linear canary deployment. The function is part of a serverless application. After the deployment starts, the developer notices that the new version is receiving only 10% of traffic initially, but after 10 minutes, the traffic increases to 100%. What should the developer do to ensure a more gradual traffic shift?

Accepted Answer

Modify the CodeDeploy deployment configuration to use a linear 10% every 5 minutes instead of canary.. The developer is using a canary deployment configuration that shifts 10% of traffic immediately and then waits 10 minutes before shifting to 100%. To achieve a more gradual traffic shift, the developer should modify the CodeDeploy deployment configuration to use a linear 10% every 5 minutes, which will increment traffic by 10% every 5 minutes, taking 50 minutes to reach 100%.

Answer

Use Lambda function aliases with weighted traffic shifting.

Answer

Use multiple Lambda function versions and update the alias gradually.

Answer

Configure AWS CloudFormation to update the Lambda alias.

Question 15

A company uses AWS CodePipeline to deploy a critical web application. The pipeline has a source stage (CodeCommit), a build stage (CodeBuild), and a deploy stage (CodeDeploy). During a recent deployment, the CodeDeploy stage failed because the target EC2 instances were not in a healthy state. The developer needs to ensure that the pipeline automatically rolls back the deployment to the last successful version if the deployment fails. What should the developer do?

Accepted Answer

In the CodeDeploy deployment group, enable automatic rollback when a deployment fails.. CodeDeploy deployment groups have a built-in automatic rollback configuration that can be enabled to revert to the last successful deployment revision when a deployment fails. This feature directly addresses the requirement without requiring additional services or manual steps, as it operates within the CodeDeploy service itself.

Answer

Use AWS CloudFormation to manage the deployment and enable rollback on failure.

Answer

Configure a CloudWatch alarm to trigger a rollback in CodePipeline.

Answer

Modify the CodePipeline stage to include a manual approval step that checks health before proceeding.