View Full Amazon AWS Certified DevOps Engineer – Professional DOP-C02 Exam Dumps and Practice Test Dumps

Question 281. What does CodeDeploy use to define deployment settings for an application?

1. Deployment configuration
   2. Security group
   3. Artifact bucket
   4. IAM password policy

Correct Answer: 1. Deployment configuration

Explanation:

AWS CodeDeploy deployment configurations define how traffic or instances are handled during a deployment. Depending on the deployment type, a configuration can determine how many instances are updated at a time or how traffic is shifted between application versions. This allows teams to select a deployment behavior that matches their availability and risk requirements. For example, a deployment can update instances gradually rather than replacing everything simultaneously. Deployment configurations are an important part of controlled release management because they determine how aggressively a new version is introduced. They should be combined with health checks, CloudWatch alarms, validation hooks, and rollback mechanisms for safer automated deployments.

Question 282. Which CodeDeploy hook can validate an application after deployment?

1. BeforeInstall
   2. ValidateService
   3. DownloadBundle
   4. Install

Correct Answer: 2. ValidateService

Explanation:

The CodeDeploy ValidateService lifecycle hook is designed for validating an application after the deployment steps have completed. A validation script can check whether the application is running correctly, whether an endpoint responds as expected, or whether important service conditions are satisfied. If the validation fails, the deployment can be considered unsuccessful and appropriate rollback behavior can be triggered depending on the deployment configuration. This provides an important quality gate because a deployment can technically copy all required files successfully while the application itself remains unhealthy. Using lifecycle hooks for automated validation reduces reliance on manual checks and supports safer continuous deployment workflows.

Question 283. What is the purpose of the CodeDeploy BeforeInstall hook?

1. Prepare the instance before new files are installed
   2. Delete CloudTrail logs
   3. Create an ECR repository
   4. Increase Lambda concurrency

Correct Answer: 1. Prepare the instance before new files are installed

Explanation:

The CodeDeploy BeforeInstall lifecycle hook runs before the application files are installed on the target environment. It can be used to perform preparation tasks required for the deployment, such as stopping an existing service, creating directories, backing up configuration, or removing files that could interfere with the installation. The exact commands depend on the application and deployment architecture. Lifecycle hooks are useful because they allow deployment procedures to be automated consistently rather than requiring administrators to prepare every server manually. A well-designed BeforeInstall step should be safe to execute repeatedly where possible and should avoid unnecessary changes outside the scope of the deployment.

Question 284. What does a CodeDeploy deployment group define?

1. A set of deployment targets and deployment settings
   2. A CloudWatch log format
   3. An S3 encryption algorithm
   4. A CodeArtifact package version

Correct Answer: 1. A set of deployment targets and deployment settings

Explanation:

A CodeDeploy deployment group identifies the targets that should receive a deployment and defines important deployment behavior. Depending on the deployment type, targets can be selected using tags, Auto Scaling groups, ECS services, or other supported mechanisms. The deployment group can also be associated with deployment configurations, alarms, and other settings that influence how the release is performed. This makes deployment groups useful for separating environments such as development, testing, staging, and production. For example, the production deployment group can target a different set of instances from the testing group while using stricter monitoring and rollback controls. Proper target selection is essential to prevent deployments from reaching unintended resources.

Question 285. Which CodeDeploy deployment type uses two environments for traffic shifting?

1. In-place
   2. Blue/green
   3. Manual-only
   4. Local

Correct Answer: 2. Blue/green

Explanation:

CodeDeploy blue/green deployments use separate environments so that a new version can be deployed independently from the currently active version. Once the replacement environment is ready, traffic can be shifted from the original environment to the new one according to the selected deployment strategy. This separation provides a useful rollback mechanism because the previous environment can remain available while the new version is validated. Blue/green deployments are especially valuable when application availability is critical or when teams want to test the new version under controlled production conditions. The approach requires careful consideration of infrastructure capacity, load balancing, application state, databases, and other shared resources.

Question 286. What does CodeDeploy deployment alarm monitoring help detect?

1. Application or deployment problems during rollout
   2. IAM username changes only
   3. S3 object naming conflicts
   4. ECR repository creation

Correct Answer: 1. Application or deployment problems during rollout

Explanation:

CodeDeploy can monitor CloudWatch alarms during deployments so that application health signals can influence deployment behavior. An alarm might track error rates, latency, unhealthy targets, or another metric that indicates whether the new version is operating correctly. If the configured alarm enters a failure state, CodeDeploy can stop or fail the deployment and, depending on the deployment configuration, initiate rollback behavior. This provides an automated safety mechanism rather than requiring an operator to notice the problem and manually intervene. Effective alarm design is important because the monitored metrics should accurately represent application health. Poorly chosen thresholds can either miss failures or cause unnecessary deployment interruptions.

Question 287. What does CodeBuild privileged mode enable?

1. Running Docker-related operations inside the build environment
   2. Creating IAM root credentials
   3. Increasing S3 storage
   4. Configuring Route 53 records

Correct Answer: 1. Running Docker-related operations inside the build environment

Explanation:

CodeBuild privileged mode allows a build environment to perform operations that require elevated capabilities, such as building Docker container images using a Docker daemon inside the build environment. This is commonly required when a CI pipeline builds container images before pushing them to Amazon ECR. Without the required configuration, Docker commands that depend on the necessary daemon or privileged capabilities may fail. Enabling privileged mode should be done only for projects that actually require it because broader privileges can increase the security exposure of the build environment. Build roles should also follow least privilege, and container build processes should be monitored and isolated appropriately.

Question 288. Which CodeBuild feature can speed up repeated dependency downloads?

1. Build cache
   2. IAM role chaining
   3. CloudTrail trail
   4. ECS deployment controller

Correct Answer: 1. Build cache

Explanation:

CodeBuild caching can improve build performance by retaining reusable files between build executions. Dependency packages, package manager caches, and other frequently reused files can be stored and restored instead of being downloaded from scratch during every build. CodeBuild supports cache configurations that can use Amazon S3 or local caching depending on the build environment and requirements. Effective cache configuration can significantly reduce build duration, especially for projects with large dependencies. However, caches should be designed carefully because stale content can cause unexpected results. Build processes should still verify dependency versions and use lock files or other dependency controls where appropriate to maintain reproducible and reliable builds.

Question 289. What does CodeBuild compute type determine?

1. Build environment resources
   2. S3 object retention
   3. IAM policy conditions
   4. CloudFormation stack outputs

Correct Answer: 1. Build environment resources

Explanation:

The CodeBuild compute type determines the compute resources allocated to the build environment. Depending on the available configuration, different compute sizes or architectures can provide different levels of CPU, memory, and other resources. Selecting an appropriate compute type is important because resource-intensive builds, large test suites, and container builds may require more capacity than simple compilation tasks. Choosing too small an environment can result in slow builds or failures caused by insufficient resources, while choosing excessive capacity can increase build costs unnecessarily. Teams should review build duration, resource usage, and workload requirements when selecting the appropriate compute configuration for their CI processes.

Question 290. Why configure CodeBuild with VPC access?

1. To reach private resources during builds
   2. To automatically create public DNS records
   3. To disable encryption
   4. To remove IAM permissions

Correct Answer: 1. To reach private resources during builds

Explanation:

CodeBuild can be configured to run within an Amazon VPC when a build needs access to private resources such as databases, internal endpoints, private repositories, or services that are not publicly accessible. VPC integration allows the build environment to operate within selected subnets and security controls. The network configuration must provide the necessary connectivity, including appropriate security groups, routing, and, when required, NAT or VPC endpoints for external AWS service access. VPC-enabled builds should be designed carefully because network restrictions can prevent access to package repositories or AWS services if required routes are missing. Proper network architecture ensures secure access without exposing private resources unnecessarily.

Question 291. What does an ECR image digest uniquely identify?

1. A specific image content
   2. An ECS cluster name
   3. A Lambda alias
   4. A CloudFormation stack

Correct Answer: 1. A specific image content

Explanation:

An Amazon ECR image digest is a content-based identifier associated with a specific container image. Unlike a mutable tag, which can potentially be moved to another image, a digest identifies the exact image content represented by that digest. This makes digests valuable for reproducible deployments because a deployment can reference the precise image that was tested and approved. Using image digests can reduce ambiguity in CI/CD pipelines and make rollback procedures more deterministic. Tags remain convenient for human-readable versioning, but teams requiring strong artifact immutability should consider using digests as deployment references. This is particularly important for production container deployments.

Question 292. Which ECR feature can replicate images to another Region?

1. Cross-Region replication
   2. CloudFormation Outputs
   3. Lambda aliases
   4. CodeBuild reports

Correct Answer: 1. Cross-Region replication

Explanation:

Amazon ECR cross-Region replication allows container images to be automatically replicated from one AWS Region to another. This can improve availability and support deployments where workloads operate in multiple Regions. Replication can also reduce the need for teams to manually push the same image separately to every regional repository. This is useful for disaster recovery, geographic deployment strategies, and multi-Region application architectures. Repository configuration, permissions, encryption, and image lifecycle policies should be considered in both source and destination Regions. Replication does not replace artifact governance; organizations should still maintain clear versioning and promotion practices so that the images deployed in each environment are known and approved.

Question 293. What does an ECS task definition revision represent?

1. A new version of the task configuration
   2. A CloudWatch alarm
   3. An IAM permission boundary
   4. An S3 lifecycle rule

Correct Answer: 1. A new version of the task configuration

Explanation:

An Amazon ECS task definition revision represents a specific version of a task definition. When configuration changes are made, such as updating a container image, CPU or memory settings, environment variables, ports, or other supported properties, a new revision can be registered. ECS services can then be updated to use the desired revision. This versioned model supports controlled deployments because an application can move from one known task definition revision to another. It also helps with rollback because an earlier revision can be selected when necessary. Teams should avoid embedding sensitive credentials directly in task definitions and should use appropriate AWS services for secrets and configuration management.

Question 294. What can ECS deployment events help operators understand?

1. Service deployment progress and failures
   2. KMS key material
   3. S3 object contents
   4. IAM passwords

Correct Answer: 1. Service deployment progress and failures

Explanation:

Amazon ECS service events provide information about changes and conditions affecting an ECS service. During deployments, these events can help operators understand whether tasks are starting successfully, whether health checks are passing, whether resources are unavailable, or whether the service is experiencing deployment problems. Reviewing service events can be an important troubleshooting step when a deployment does not reach a stable state. These events should be considered together with CloudWatch metrics, container logs, load balancer health checks, and deployment configuration. ECS events do not replace application monitoring, but they provide valuable operational context about the service scheduler and deployment process.

Question 295. What does an ECS deployment circuit breaker help prevent?

1. A failed deployment remaining active indefinitely
   2. S3 object versioning
   3. KMS key rotation
   4. IAM policy evaluation

Correct Answer: 1. A failed deployment remaining active indefinitely

Explanation:

The ECS deployment circuit breaker can detect when a service deployment is unable to reach a stable state and can stop the deployment from continuing indefinitely. When rollback is enabled, ECS can also return the service to the last deployment that reached a stable condition. This is useful for automated CI/CD pipelines because deployment failures can be handled without requiring an operator to immediately intervene. The circuit breaker depends on the service’s deployment and task health behavior, so meaningful container and load balancer health checks are important. It should be viewed as one component of a larger release strategy that includes testing, monitoring, validation, and controlled traffic management.

Question 296. What does Lambda reserved concurrency prevent?

1. A function from exceeding its configured concurrency limit
   2. Lambda versions from being published
   3. S3 objects from being encrypted
   4. CloudWatch alarms from triggering

Correct Answer: 1. A function from exceeding its configured concurrency limit

Explanation:

Reserved concurrency sets a maximum number of concurrent executions for a Lambda function. This prevents that function from consuming more concurrency than the configured limit and can protect other functions from being affected by a sudden traffic spike from one workload. Reserved concurrency also reserves the specified concurrency capacity for that function within the account’s available concurrency. This makes it useful for controlling noisy workloads and protecting downstream systems from excessive parallel requests. Teams should select the value carefully based on expected traffic and dependency limits. Reserved concurrency should not be confused with provisioned concurrency, which is primarily designed to reduce initialization latency.

Question 297. What is the purpose of Lambda provisioned concurrency during deployment?

1. Reduce startup latency for prepared environments
   2. Create new ECR repositories
   3. Store CloudFormation templates
   4. Disable Lambda versions

Correct Answer: 1. Reduce startup latency for prepared environments

Explanation:

Lambda provisioned concurrency keeps a configured number of execution environments initialized and ready to respond to requests. This can reduce the latency associated with initializing new execution environments when traffic arrives. It is particularly useful for applications where predictable response times are important, such as APIs or user-facing services. Provisioned concurrency can be configured with Lambda versions or aliases, making it possible to prepare the specific version that is receiving production traffic. Deployment automation should monitor utilization and performance because provisioned concurrency represents a deliberate capacity commitment. It is different from reserved concurrency, which limits and reserves concurrency but does not primarily eliminate initialization latency.

Question 298. Which CloudFormation resource policy helps protect critical resources from accidental stack updates?

1. Stack policy
   2. DeletionPolicy only
   3. UpdatePolicy only
   4. IAM password policy

Correct Answer: 1. Stack policy

Explanation:

A CloudFormation stack policy can help protect selected resources from unintended update operations. It defines which resources can be updated during stack operations and can deny updates to particularly sensitive resources unless an appropriate exception or controlled process is used. This can be useful for stateful or business-critical resources where an accidental infrastructure change could cause disruption or data loss. Stack policies are different from IAM permissions because they operate at the CloudFormation stack update level rather than simply determining whether a principal can call an AWS API. They should be designed carefully so that necessary legitimate changes remain possible while critical resources receive additional protection.

Question 299. What does CloudFormation resource import allow?

1. Bringing existing resources under stack management
   2. Creating Docker layers
   3. Rotating IAM passwords
   4. Sending EventBridge events

Correct Answer: 1. Bringing existing resources under stack management

Explanation:

CloudFormation resource import allows supported existing AWS resources to be brought under management by a CloudFormation stack without necessarily creating new replacement resources. This can help organizations transition manually created infrastructure into infrastructure as code. The resource must meet the requirements for import, and the CloudFormation template must describe the resource appropriately. Import operations should be planned carefully because bringing a resource under stack management changes how future updates and lifecycle operations are controlled. Once imported, teams can use CloudFormation to manage supported configuration changes and integrate the resource into a broader infrastructure-as-code workflow. This can reduce unmanaged infrastructure and improve configuration consistency.

Question 300. Which practice best protects CI/CD credentials?

1. Store secrets in source code
   2. Use AWS Secrets Manager or Parameter Store with least-privilege access
   3. Share one administrator access key
   4. Place passwords in Dockerfiles

Correct Answer: 2. Use AWS Secrets Manager or Parameter Store with least-privilege access

Explanation:

CI/CD systems often require access to repositories, deployment services, databases, APIs, and other resources, making credential protection especially important. Storing credentials directly in source code, Dockerfiles, or build scripts can expose them through repositories, logs, artifacts, or container images. AWS Secrets Manager and Systems Manager Parameter Store provide centralized mechanisms for storing sensitive values, while IAM roles can provide temporary credentials to supported AWS services without embedding long-lived access keys. Least-privilege permissions should ensure that each pipeline component can access only the secrets and AWS resources it actually requires. Rotation, encryption, auditing, and monitoring should also be included in a comprehensive CI/CD credential-management strategy.