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

 

Question 381. What does CodePipeline source change detection do?

1. Starts a pipeline when source changes are detected
   2. Encrypts ECR images
   3. Creates ECS clusters
   4. Rotates IAM passwords

Correct Answer: 1. Starts a pipeline when source changes are detected

Explanation:

CodePipeline source change detection allows a pipeline to automatically begin a new execution when a configured source provider detects a relevant change. This supports continuous delivery because developers do not need to manually start the pipeline after every source update. Depending on the source integration, change detection can use supported mechanisms such as events or polling. Automatic triggering should be combined with appropriate validation stages so that every detected change is tested before reaching production. Teams should also consider how multiple changes are handled when commits arrive rapidly. Proper trigger configuration helps ensure that the pipeline responds to meaningful source changes while maintaining predictable execution behavior and avoiding unnecessary deployments.

Question 382. What does a CodePipeline artifact store contain?

1. Files exchanged between pipeline actions
   2. IAM access keys
   3. ECS container CPU limits
   4. CloudWatch alarm thresholds

Correct Answer: 1. Files exchanged between pipeline actions

Explanation:

A CodePipeline artifact store provides storage for files that are passed between pipeline actions. These artifacts can include source packages, compiled application files, deployment bundles, configuration templates, or other outputs generated during a pipeline execution. Amazon S3 is commonly used as the artifact store, with appropriate encryption and access controls configured to protect the contents. The artifact store allows different stages to consume outputs without requiring direct communication between individual services. Proper artifact management is important for traceability and repeatability because the files used by later deployment stages should correspond to the intended pipeline execution. Versioning, encryption, and least-privilege access can further strengthen artifact security.

Question 383. Why configure S3 versioning for deployment artifacts?

1. To preserve previous object versions
   2. To increase Lambda concurrency
   3. To create IAM roles
   4. To configure ECS health checks

Correct Answer: 1. To preserve previous object versions

Explanation:

S3 versioning preserves multiple versions of objects stored in a bucket. For CI/CD artifact storage, this can provide useful protection against accidental overwrites and deletions while maintaining historical versions of important files. If a deployment artifact is replaced incorrectly, previous object versions may remain available for recovery according to the organization’s procedures. Versioning also supports better traceability because teams can distinguish different versions of stored artifacts. It should be combined with appropriate lifecycle policies to manage storage growth and with access controls to prevent unauthorized changes. Versioning does not itself make artifacts immutable, so organizations should use additional controls when strict immutability is required.

Question 384. What is a CodeBuild build timeout used for?

1. Limiting how long a build can run
   2. Controlling ECS task placement
   3. Setting S3 retention
   4. Rotating KMS keys

Correct Answer: 1. Limiting how long a build can run

Explanation:

A CodeBuild build timeout defines the maximum amount of time a build is allowed to execute before CodeBuild stops it. This prevents a build from consuming compute resources indefinitely because of a stuck process, unexpected dependency behavior, or another problem. Timeout values should reflect the normal execution time of the project’s build and testing process while allowing reasonable variation. Setting the timeout too low can terminate legitimate builds, while setting it excessively high can delay failure detection and consume resources unnecessarily. Teams should investigate builds that regularly approach the timeout instead of simply increasing the limit, because long execution times may indicate inefficient tests, dependency issues, or build configuration problems.

Question 385. What does CodeBuild VPC configuration provide?

1. Access to resources in a configured VPC
   2. Automatic IAM administrator privileges
   3. ECR image signing
   4. CloudFormation drift detection

Correct Answer: 1. Access to resources in a configured VPC

Explanation:

CodeBuild can be configured to run builds within specified Amazon VPC subnets and security groups. This can allow build processes to access private resources that are not directly reachable from a public network, such as internal package repositories, private databases used for testing, or other services hosted inside a VPC. VPC configuration requires careful networking design because the build environment may need appropriate routing and connectivity to AWS services or external dependencies. Security groups should permit only the required traffic. Teams should also consider whether a VPC build environment requires NAT or VPC endpoints for accessing services such as Amazon S3, depending on the architecture and build requirements.

Question 386. What does CodeArtifact upstream access provide?

1. Access to packages from another configured repository
   2. ECS task health checks
   3. Lambda traffic shifting
   4. CloudFormation rollback protection

Correct Answer: 1. Access to packages from another configured repository

Explanation:

CodeArtifact upstream repositories allow a repository to obtain packages from another configured repository or supported upstream source when the requested package is not already available locally. This can simplify dependency management by providing developers and build systems with a controlled package access point. Once an upstream package is retrieved, CodeArtifact can cache it according to its repository behavior, reducing repeated external retrievals. Organizations can use this model to centralize package management and apply access controls around software dependencies. Upstream configuration should be designed carefully so that projects consume trusted package sources. Dependency security should also include version pinning, vulnerability assessment, and controls against unexpected package substitution.

Question 387. Why use ECR image lifecycle policies?

1. To automatically remove images that meet retention rules
   2. To increase ECS task memory
   3. To create CloudFormation stacks
   4. To manage IAM sessions

Correct Answer: 1. To automatically remove images that meet retention rules

Explanation:

Amazon ECR lifecycle policies help manage repository storage by automatically expiring images that meet defined rules. A repository can accumulate a large number of images as CI/CD pipelines create new versions frequently, especially when every commit produces a container image. Retaining every image indefinitely can increase storage costs and make repository management more difficult. Lifecycle policies can be designed to retain a required number of recent images or expire images based on supported criteria. Care is needed when creating these rules because images that are still required for rollback or active deployments should not be removed unexpectedly. Teams should establish retention requirements before automating image cleanup.

Question 388. What does ECR image digest identify?

1. A specific immutable image content
   2. An ECS service name
   3. A Lambda alias
   4. A CloudWatch dashboard

Correct Answer: 1. A specific immutable image content

Explanation:

An Amazon ECR image digest is a content-based identifier that uniquely represents a particular container image. Unlike a mutable image tag, a digest refers to the exact image content associated with that identifier. This makes digests useful when deployment pipelines need deterministic references and want to ensure that the exact image tested during validation is the image deployed later. Tags remain convenient for human-readable versioning, but they can potentially be moved to another image unless tag immutability is enforced. Referencing image digests in production deployment processes can therefore strengthen artifact integrity and reduce the risk of deploying an unexpected image because a tag changed.

Question 389. What does ECS service auto scaling adjust?

1. The desired number of running tasks
   2. The CloudTrail retention period
   3. The ECR encryption algorithm
   4. The Lambda package size

Correct Answer: 1. The desired number of running tasks

Explanation:

ECS Service Auto Scaling adjusts the desired count of tasks for an ECS service according to configured scaling policies and metrics. For example, an application may scale out when CPU utilization or another supported metric increases and scale in when demand decreases. This allows application capacity to respond dynamically rather than requiring administrators to change the desired count manually. Scaling policies should be selected based on the application’s workload characteristics and startup time. If tasks take several minutes to become ready, the scaling configuration should account for that delay. Capacity providers, cluster capacity, load balancer health checks, and deployment settings should also be considered so that scaling operations do not create unnecessary service instability.

Question 390. What does an ECS deployment circuit breaker detect?

1. Repeated deployment failures
   2. S3 object versions
   3. IAM policy conditions
   4. CodeArtifact package versions

Correct Answer: 1. Repeated deployment failures

Explanation:

The ECS deployment circuit breaker helps detect when a service deployment is failing to reach a healthy state. Instead of allowing an unhealthy deployment to continue indefinitely, the circuit breaker can identify deployment failure and, when configured appropriately, stop the deployment and roll back to the previous service revision. This can reduce the impact of failed releases and prevent a service from remaining stuck in an unsuccessful deployment state. Health checks are important because ECS needs reliable information to determine whether tasks become healthy. Teams should combine the circuit breaker with meaningful application and load balancer health checks so that the deployment system can accurately recognize whether the new revision is ready to serve traffic.

Question 391. What does an ECS health check grace period allow?

1. Time for new tasks to initialize before health evaluation
   2. Unlimited task execution
   3. Automatic ECR cleanup
   4. CloudTrail log deletion

Correct Answer: 1. Time for new tasks to initialize before health evaluation

Explanation:

The ECS service health check grace period gives newly started tasks time to initialize before ECS begins using certain health information to make service scheduling decisions. This can be useful for applications that require time to load dependencies, establish connections, initialize caches, or complete startup processes. Without an appropriate grace period, a task may be considered unhealthy before the application has had a reasonable opportunity to become ready. The grace period should not be excessively long because that can delay detection of genuinely unhealthy tasks. Teams should determine the value based on observed startup behavior and should still use meaningful container and load balancer health checks to detect failures after initialization.

Question 392. What is Lambda reserved concurrency mainly used to control?

1. Maximum concurrent executions of a function
   2. Number of published versions
   3. S3 object retention
   4. CodePipeline stage count

Correct Answer: 1. Maximum concurrent executions of a function

Explanation:

Lambda reserved concurrency establishes a concurrency limit for a specific function and reserves that amount of account concurrency for it. This can prevent a high-volume function from consuming all available concurrency and affecting other functions. It can also protect downstream systems that cannot handle unlimited parallel requests. If incoming requests exceed the configured concurrency, additional invocations may be throttled. Teams should select the value based on workload demand, downstream capacity, and overall account concurrency requirements. Reserved concurrency is different from provisioned concurrency, which is designed primarily to keep execution environments initialized and reduce cold-start latency. Understanding the distinction is important when designing reliable Lambda workloads.

Question 393. What does Lambda provisioned concurrency reduce?

1. Cold-start latency for configured execution environments
   2. S3 storage costs
   3. ECS deployment time
   4. CloudFormation template size

Correct Answer: 1. Cold-start latency for configured execution environments

Explanation:

Lambda provisioned concurrency keeps a configured number of execution environments initialized and ready to process requests. This can reduce cold-start latency for applications where predictable response time is important. It is particularly useful for latency-sensitive APIs or workloads that experience known traffic patterns. Provisioned concurrency does not remove every possible source of latency because application code, downstream services, networking, and other factors can still affect response time. It also incurs additional cost, so capacity should be configured according to expected demand. Teams should evaluate provisioned concurrency together with reserved concurrency, autoscaling behavior, deployment strategy, and monitoring to ensure that performance requirements are met efficiently.

Question 394. What does CloudFormation DeletionPolicy control?

1. What happens to a resource when its stack is deleted
   2. How Lambda traffic is shifted
   3. How ECS tasks scale
   4. How CodeBuild installs dependencies

Correct Answer: 1. What happens to a resource when its stack is deleted

Explanation:

The CloudFormation DeletionPolicy attribute determines what CloudFormation should do with a resource when the associated stack or resource is deleted under supported circumstances. Depending on the selected policy, a resource can be deleted, retained, or handled using supported snapshot behavior for applicable resource types. This is particularly important for stateful resources such as databases or storage because deleting infrastructure does not necessarily mean that the underlying data should also be destroyed. Teams should explicitly consider the desired lifecycle of important resources and use appropriate deletion policies. DeletionPolicy is different from UpdateReplacePolicy, which addresses what happens to the old physical resource when a replacement occurs during an update.

Question 395. What does CloudFormation UpdateReplacePolicy protect?

1. The old physical resource during replacement
   2. CodeBuild cache data
   3. Lambda aliases
   4. ECR repository policies

Correct Answer: 1. The old physical resource during replacement

Explanation:

CloudFormation UpdateReplacePolicy determines what happens to the existing physical resource when an update requires CloudFormation to replace it with a new resource. This is particularly important for resources containing valuable state or data. Depending on the selected policy and resource support, the old resource can be retained or handled using supported snapshot behavior instead of being immediately deleted. This differs from DeletionPolicy, which primarily addresses resource behavior when a stack or resource is deleted. Using appropriate policies can reduce the risk of accidental data loss during infrastructure changes. However, retained resources can create additional storage or management obligations, so teams should include cleanup and lifecycle procedures in their operational plans.

Question 396. What does CloudFormation CreationPolicy help coordinate?

1. Resource creation completion signals
   2. ECR vulnerability scans
   3. Lambda concurrency
   4. CodePipeline source triggers

Correct Answer: 1. Resource creation completion signals

Explanation:

CloudFormation CreationPolicy can require a resource to signal successful initialization before CloudFormation considers the creation operation complete. This is useful for resources where CloudFormation knows that the resource exists but cannot determine whether application-level initialization has finished. A common scenario involves an EC2 instance that must complete configuration or software installation before the stack should continue. The instance can send a success signal after the initialization process completes. If the expected signal is not received within the configured timeout, the operation can fail according to the stack behavior. This provides a stronger deployment synchronization mechanism than simply assuming that resource creation means the application is ready.

Question 397. What does Systems Manager State Manager automate?

1. Maintaining desired configuration on managed nodes
   2. Creating ECR repositories
   3. Building Docker images
   4. Managing CodePipeline artifacts

Correct Answer: 1. Maintaining desired configuration on managed nodes

Explanation:

AWS Systems Manager State Manager helps maintain a desired configuration across managed nodes by applying associations according to defined schedules or conditions. It can be used for tasks such as ensuring software settings, configuration values, or other supported operational states remain consistent across a fleet. This is useful when administrators need continuous configuration enforcement rather than a one-time command. State Manager can help detect and correct configuration drift at the managed-node level. It should be combined with appropriate IAM permissions, monitoring, and change-management procedures because automated remediation can modify many systems. Proper targeting is particularly important so that configuration associations affect only the intended instances or managed resources.

Question 398. What is Systems Manager Session Manager useful for?

**1. Secure interactive access to managed instances
**2. Container image vulnerability scanning
**3. Lambda traffic routing
**4. CloudFormation template validation

Correct Answer: 1. Secure interactive access to managed instances

Explanation:

AWS Systems Manager Session Manager provides interactive shell access to supported managed instances without requiring traditional inbound SSH or RDP access in many architectures. Sessions are established through Systems Manager, allowing organizations to reduce the need for publicly exposed management ports. Access can be controlled using IAM permissions, and session activity can be integrated with logging capabilities according to the configuration. This can improve operational security by centralizing administrative access through AWS authorization mechanisms. Session Manager does not eliminate the need for proper host security or network design, but it can significantly reduce the attack surface associated with directly exposed management services. Organizations should still monitor and audit administrative sessions.

Question 399. What does a Systems Manager Maintenance Window schedule?

1. Operational tasks during defined time periods
   2. Lambda alias traffic percentages
   3. ECR image tags
   4. CodeArtifact package versions

Correct Answer: 1. Operational tasks during defined time periods

Explanation:

Systems Manager Maintenance Windows allow organizations to define specific periods during which approved operational tasks can run against targeted resources. This is useful for activities such as patching, configuration changes, automation workflows, and other maintenance operations that should occur during controlled periods. Maintenance Windows can help reduce business disruption by scheduling changes during appropriate times and can also provide a predictable operational framework for recurring tasks. Organizations should carefully define targets, task permissions, schedules, and concurrency controls. A Maintenance Window does not automatically make an operation safe; the underlying task still needs appropriate validation and monitoring. Testing maintenance procedures before broad scheduling helps reduce unexpected production impact.

Question 400. What does AWS Config continuously evaluate?

1. Resource configuration against defined rules
   2. Lambda source code quality only
   3. Docker build speed
   4. CodePipeline execution duration only

Correct Answer: 1. Resource configuration against defined rules

Explanation:

AWS Config evaluates AWS resource configurations against defined rules and records configuration information that can be used to assess compliance. Rules can identify conditions such as resources that lack required security settings, encryption, or other organizational controls. When a resource becomes noncompliant, Config can provide a finding and, where configured, initiate automated remediation. This makes Config useful for continuous governance rather than relying exclusively on periodic manual reviews. Organizations should select rules that correspond to meaningful security and operational requirements and should monitor remediation results. Config findings can also be integrated with broader operational processes so that configuration problems are detected and addressed consistently across AWS environments.