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AWS Certified DevOps Engineer - Professional DOP-C02 Practice Test 51

Question 500

An infrastructure release may replace a stateful database resource but reviewers see only a template diff before production execution.

What result would most credibly prove that the control is effective?

  1. A validated SAM build and deployment creates expected functions, event sources and permissions consistently in test and production.
  2. A rehearsal update retains the protected object storage resource when the template resource is removed or replaced.
  3. A CI stage displays the synthesized resource changes and flags unexpectedly broad IAM policies before stack update.
  4. The reviewed change set identifies whether the database will be modified or replaced and is executed only after risk acceptance.

Explanation

Correct Answer

D:

The reviewed change set identifies whether the database will be modified or replaced and is executed only after risk acceptance. It directly verifies the change: Create and inspect a CloudFormation change set with replacement details and require approval before executing it. The test matters because a change set previews intended stack resource actions including potential replacements, reducing surprise when modifying infrastructure.

Incorrect Answers

A:

A validated SAM build and deployment creates expected functions, event sources and permissions consistently in test and production. That result would help prove sam serverless templates, where the relevant action is: Use an AWS SAM template and supported transforms to define reusable serverless resources and events through CloudFormation. It does not establish this case's required outcome. For cloudformation change sets, the decisive verification is: The reviewed change set identifies whether the database will be modified or replaced and is executed only after risk acceptance.

B:

A rehearsal update retains the protected object storage resource when the template resource is removed or replaced. That result would help prove cloudformation deletion protections, where the relevant action is: Set appropriate DeletionPolicy or UpdateReplacePolicy attributes on critical stateful resources and validate replacement behavior. It does not establish this case's required outcome. For cloudformation change sets, the decisive verification is: The reviewed change set identifies whether the database will be modified or replaced and is executed only after risk acceptance.

C:

A CI stage displays the synthesized resource changes and flags unexpectedly broad IAM policies before stack update. That result would help prove cdk synthesis review, where the relevant action is: Synthesize the CDK app and scan the resulting CloudFormation template and asset manifests before deployment. It does not establish this case's required outcome. For cloudformation change sets, the decisive verification is: The reviewed change set identifies whether the database will be modified or replaced and is executed only after risk acceptance.

Question 501

A production application uses a database password shared across services for years and deployments break whenever engineers rotate it manually.

Which operational observation best confirms the intended design?

  1. A developer changes same-project tagged resources but cannot retag or access a different project's resources.
  2. The intended pipeline assumes the role successfully and an unrelated external AWS principal cannot obtain a session.
  3. A tested rotation changes the database credential without downtime and only authorized application roles can retrieve the active version.
  4. A developer can create permitted application roles but a test request outside the boundary remains denied despite broad inline policies.

Explanation

Correct Answer

C:

A tested rotation changes the database credential without downtime and only authorized application roles can retrieve the active version. It directly verifies the change: Manage the database secret with Secrets Manager and a supported rotation process coordinated with application refresh behavior. The test matters because managed rotation reduces static-credential lifetime but consumers must retrieve a current secret and handle transitions correctly.

Incorrect Answers

A:

A developer changes same-project tagged resources but cannot retag or access a different project's resources. That result would help prove abac application teams, where the relevant action is: Implement controlled IAM attribute-based access using principal and resource tags with protections against unauthorized tag changes. It does not establish this case's required outcome. For secrets manager rotation, the decisive verification is: A tested rotation changes the database credential without downtime and only authorized application roles can retrieve the active version.

B:

The intended pipeline assumes the role successfully and an unrelated external AWS principal cannot obtain a session. That result would help prove cross account assume role trust, where the relevant action is: Restrict the target role trust policy to the intended tooling principal and scope its permissions to needed deployment actions. It does not establish this case's required outcome. For secrets manager rotation, the decisive verification is: A tested rotation changes the database credential without downtime and only authorized application roles can retrieve the active version.

D:

A developer can create permitted application roles but a test request outside the boundary remains denied despite broad inline policies. That result would help prove permissions boundary delegation, where the relevant action is: Require an IAM permissions boundary on developer-created roles in addition to appropriately scoped identity policies. It does not establish this case's required outcome. For secrets manager rotation, the decisive verification is: A tested rotation changes the database credential without downtime and only authorized application roles can retrieve the active version.

Question 502

An EKS microservice experiences variable request volume but engineers add nodes without increasing the application's pod replicas.

Which failure is most directly exposed by leaving the problem unresolved?

  1. Writing critical transactions to a replica or assuming zero lag can cause failed updates or inconsistent customer reports.
  2. Unbounded Lambda fan-out exhausts database connections and turns a recoverable backlog into widespread failures.
  3. Adding cluster nodes alone leaves the original pod count saturated and customer latency unchanged.
  4. Scaling only task desired count leaves containers pending with no host resources available for placement.

Explanation

Correct Answer

C:

Adding cluster nodes alone leaves the original pod count saturated and customer latency unchanged. This outcome arises from the mechanism in the situation: HPA increases workload replicas, while node autoscaling provides scheduling capacity; these control different levels of scaling. The corresponding mitigation is: Configure Horizontal Pod Autoscaler against suitable resource or custom metrics and ensure node capacity can support the desired replicas.

Incorrect Answers

A:

Writing critical transactions to a replica or assuming zero lag can cause failed updates or inconsistent customer reports. That is a credible concern for rds read replicas, normally addressed by: Introduce appropriately sized RDS read replicas and route eligible read queries to replica endpoints with lag-aware behavior. It is not the primary failure mechanism described here. The relevant exposure is: Adding cluster nodes alone leaves the original pod count saturated and customer latency unchanged.

B:

Unbounded Lambda fan-out exhausts database connections and turns a recoverable backlog into widespread failures. That is a credible concern for lambda concurrency protection, normally addressed by: Set an appropriate maximum event-source concurrency or reserved concurrency and coordinate queue retries with database capacity. It is not the primary failure mechanism described here. The relevant exposure is: Adding cluster nodes alone leaves the original pod count saturated and customer latency unchanged.

D:

Scaling only task desired count leaves containers pending with no host resources available for placement. That is a credible concern for ecs capacity providers, normally addressed by: Configure an ECS capacity provider strategy with managed scaling for the underlying cluster where appropriate. It is not the primary failure mechanism described here. The relevant exposure is: Adding cluster nodes alone leaves the original pod count saturated and customer latency unchanged.

Question 503

Archived log objects arrive continuously in S3, yet analysts run a manual import job once a day before search indexes are updated.

What result would most credibly prove that the control is effective?

  1. A new log object is indexed promptly and replaying its event does not create duplicate search documents.
  2. A new scale-out instance appears in expected metric dimensions and log groups without manual administrator access.
  3. A noncompliant test rule is corrected automatically, while required business exceptions remain governed and auditable.
  4. A test or eligible failure invokes the recovery path and the instance returns to passing system status checks.

Explanation

Correct Answer

A:

A new log object is indexed promptly and replaying its event does not create duplicate search documents. It directly verifies the change: Configure eligible S3 object-created events to trigger Lambda or an event processing workflow with deduplication and failure handling. The test matters because object event notifications support near-real-time ingestion of new log files, but processing must tolerate retries and duplicate events.

Incorrect Answers

B:

A new scale-out instance appears in expected metric dimensions and log groups without manual administrator access. That result would help prove monitoring fleet agents, where the relevant action is: Install and configure required monitoring agents through the image or managed bootstrap and validate reporting on every new instance. It does not establish this case's required outcome. For s3 log processing event, the decisive verification is: A new log object is indexed promptly and replaying its event does not create duplicate search documents.

C:

A noncompliant test rule is corrected automatically, while required business exceptions remain governed and auditable. That result would help prove config rule auto remediation, where the relevant action is: Use a Config rule with scoped Systems Manager Automation remediation for the specific unauthorized ingress condition. It does not establish this case's required outcome. For s3 log processing event, the decisive verification is: A new log object is indexed promptly and replaying its event does not create duplicate search documents.

D:

A test or eligible failure invokes the recovery path and the instance returns to passing system status checks. That result would help prove auto recovery ec2 status, where the relevant action is: Configure a CloudWatch system status-check alarm with supported EC2 recovery action after validating instance eligibility. It does not establish this case's required outcome. For s3 log processing event, the decisive verification is: A new log object is indexed promptly and replaying its event does not create duplicate search documents.

Question 504

An SQS processing backlog spikes during month-end operations, yet workers wait for a daily operator-led capacity adjustment.

Which solution should the DevOps engineer implement?

  1. Trigger a guarded event workflow that applies a preapproved quarantine security group after checking finding type and resource identity.
  2. Associate the rollout with meaningful CloudWatch health alarms and automatic configuration rollback rather than restarting every service manually.
  3. Attach a narrowly scoped Systems Manager Automation remediation to the relevant Config rule with controlled exception handling.
  4. Use suitable CloudWatch backlog metrics to drive an Auto Scaling policy for the processing fleet with bounded capacity.

Explanation

Correct Answer

D:

Use suitable CloudWatch backlog metrics to drive an Auto Scaling policy for the processing fleet with bounded capacity. Reactive scaling to queue pressure adjusts worker count to actual incoming demand instead of relying on a fixed operator schedule. The relevant operational proof is specific: A growing backlog launches additional workers and the queue age falls without exceeding maximum approved fleet size.

Incorrect Answers

A:

Trigger a guarded event workflow that applies a preapproved quarantine security group after checking finding type and resource identity. That would address automated isolation of compromised instance, because event-driven isolation can reduce exposure quickly when it uses narrow selection logic and records the affected resource and decision. However, the stated situation instead concerns auto scale on sqs backlog. Reactive scaling to queue pressure adjusts worker count to actual incoming demand instead of relying on a fixed operator schedule.

B:

Associate the rollout with meaningful CloudWatch health alarms and automatic configuration rollback rather than restarting every service manually. That would address parameter change rollback, because appConfig controlled deployment strategies can monitor alarms and roll back configuration versions when customer health degrades. However, the stated situation instead concerns auto scale on sqs backlog. Reactive scaling to queue pressure adjusts worker count to actual incoming demand instead of relying on a fixed operator schedule.

C:

Attach a narrowly scoped Systems Manager Automation remediation to the relevant Config rule with controlled exception handling. That would address config rule network remediation, because a Config evaluation identifies the noncompliant resource state and an authorized automation can restore the expected ingress policy. However, the stated situation instead concerns auto scale on sqs backlog. Reactive scaling to queue pressure adjusts worker count to actual incoming demand instead of relying on a fixed operator schedule.

Question 505

Two teams push different container images under the same ECR tag and staging and production launch different bytes for one release.

Which evidence most directly demonstrates that the requirement has been met?

  1. Current and rollback digests stay pullable after retention cleanup, while older unreferenced images expire as intended.
  2. A scoped target role can decrypt only authorized release objects, while an unrelated workload role remains denied.
  3. Image tests verify required agent and patch state, and a new launch template references the tested AMI version.
  4. The deployed digest is identical across staging and production and a second push cannot silently replace the promoted tag.

Explanation

Correct Answer

D:

The deployed digest is identical across staging and production and a second push cannot silently replace the promoted tag. It directly verifies the change: Enable immutable image tags or promote by image digest so a release references a fixed container image version. The test matters because an ECR image digest identifies content independently of a mutable human-readable label, removing ambiguity during promotion and rollback.

Incorrect Answers

A:

Current and rollback digests stay pullable after retention cleanup, while older unreferenced images expire as intended. That result would help prove artifact retention rules, where the relevant action is: Define lifecycle policies that prune unused image versions while retaining active and approved rollback digests. It does not establish this case's required outcome. For immutable container tags, the decisive verification is: The deployed digest is identical across staging and production and a second push cannot silently replace the promoted tag.

B:

A scoped target role can decrypt only authorized release objects, while an unrelated workload role remains denied. That result would help prove cross-account kms artifacts, where the relevant action is: Allow the target deployment role appropriate KMS decrypt access in the key policy and IAM permissions while keeping object access scoped. It does not establish this case's required outcome. For immutable container tags, the decisive verification is: The deployed digest is identical across staging and production and a second push cannot silently replace the promoted tag.

C:

Image tests verify required agent and patch state, and a new launch template references the tested AMI version. That result would help prove golden ami pipeline, where the relevant action is: Use EC2 Image Builder to create, test and distribute versioned patched AMIs for immutable instance replacement. It does not establish this case's required outcome. For immutable container tags, the decisive verification is: The deployed digest is identical across staging and production and a second push cannot silently replace the promoted tag.

Question 506

An enterprise maintains separate human IAM users in every AWS account and cannot revoke an employee's cross-account access reliably.

What is the best automation decision for this workload?

  1. Register supported delegated administrator accounts for applicable organization-level security services and minimize management-account use.
  2. Use IAM Identity Center federation and permission sets to assign centrally managed workforce access across accounts.
  3. Apply a carefully scoped AWS Organizations SCP region-deny guardrail with required global-service exceptions.
  4. Create an organization-level multi-Region CloudTrail trail with protected centralized log storage and appropriate ownership.

Explanation

Correct Answer

B:

Use IAM Identity Center federation and permission sets to assign centrally managed workforce access across accounts. Federated human identity and permission-set assignment reduce per-account user sprawl and create consistent account-specific role permissions. The relevant operational proof is specific: Disabling a workforce identity removes its assigned access across the intended AWS accounts through the managed identity workflow.

Incorrect Answers

A:

Register supported delegated administrator accounts for applicable organization-level security services and minimize management-account use. That would address delegated administration control, because delegated administration separates operational service management from the powerful organizations management account, limiting credential exposure. However, the stated situation instead concerns permission sets at scale. Federated human identity and permission-set assignment reduce per-account user sprawl and create consistent account-specific role permissions.

C:

Apply a carefully scoped AWS Organizations SCP region-deny guardrail with required global-service exceptions. That would address guardrail region restriction, because an organization-level condition can restrict regional actions broadly; exceptions are necessary for services whose endpoints or semantics are global. However, the stated situation instead concerns permission sets at scale. Federated human identity and permission-set assignment reduce per-account user sprawl and create consistent account-specific role permissions.

D:

Create an organization-level multi-Region CloudTrail trail with protected centralized log storage and appropriate ownership. That would address organization trail audit scope, because an organization trail expands management-event coverage to member accounts and supports consolidated immutable audit operations. However, the stated situation instead concerns permission sets at scale. Federated human identity and permission-set assignment reduce per-account user sprawl and create consistent account-specific role permissions.

Question 507

Encrypted application data is copied for disaster recovery to a separate AWS Region and account, but destination operators cannot decrypt it.

What could most credibly go wrong under these conditions?

  1. Accidental broad S3 permissions can expose customer records even when object encryption at rest is enabled.
  2. A copied encrypted dataset that lacks corresponding key access cannot be restored during a disaster.
  3. Fragmented per-service findings allow serious multi-account security problems to go unnoticed or unresolved.
  4. Expired TLS certificates cause client connection failures despite healthy applications and open network routes.

Explanation

Correct Answer

B:

A copied encrypted dataset that lacks corresponding key access cannot be restored during a disaster. This outcome arises from the mechanism in the situation: KMS key locality and key policies govern decryption; transferring ciphertext alone does not guarantee usable recovery data. The corresponding mitigation is: Plan destination-region KMS key access and supported re-encryption or key replication patterns in the recovery workflow.

Incorrect Answers

A:

Accidental broad S3 permissions can expose customer records even when object encryption at rest is enabled. That is a credible concern for s3 public access guardrail, normally addressed by: Enable appropriate S3 Block Public Access settings at account or bucket scope and provide a separate approved public-content pattern. It is not the primary failure mechanism described here. The relevant exposure is: A copied encrypted dataset that lacks corresponding key access cannot be restored during a disaster.

C:

Fragmented per-service findings allow serious multi-account security problems to go unnoticed or unresolved. That is a credible concern for security hub aggregated posture, normally addressed by: Aggregate and normalize findings through AWS Security Hub with delegated administration and clear response ownership. It is not the primary failure mechanism described here. The relevant exposure is: A copied encrypted dataset that lacks corresponding key access cannot be restored during a disaster.

D:

Expired TLS certificates cause client connection failures despite healthy applications and open network routes. That is a credible concern for acm certificate lifecycle, normally addressed by: Use an eligible AWS Certificate Manager managed certificate and validate DNS ownership and listener association. It is not the primary failure mechanism described here. The relevant exposure is: A copied encrypted dataset that lacks corresponding key access cannot be restored during a disaster.

Question 508

An EKS microservice experiences variable request volume but engineers add nodes without increasing the application's pod replicas.

What observed outcome would establish that this remediation worked?

  1. Increasing per-pod demand creates additional ready pod replicas and matching node capacity where required.
  2. Load testing shows database connection counts stay below approved thresholds while the SQS backlog drains at a controlled rate.
  3. Read-heavy workload load tests show lower primary utilization and accepted replica-lag behavior for dashboards.
  4. Increasing desired tasks causes suitable container instances to join and pending tasks enter RUNNING when capacity appears.

Explanation

Correct Answer

A:

Increasing per-pod demand creates additional ready pod replicas and matching node capacity where required. It directly verifies the change: Configure Horizontal Pod Autoscaler against suitable resource or custom metrics and ensure node capacity can support the desired replicas. The test matters because hPA increases workload replicas, while node autoscaling provides scheduling capacity; these control different levels of scaling.

Incorrect Answers

B:

Load testing shows database connection counts stay below approved thresholds while the SQS backlog drains at a controlled rate. That result would help prove lambda concurrency protection, where the relevant action is: Set an appropriate maximum event-source concurrency or reserved concurrency and coordinate queue retries with database capacity. It does not establish this case's required outcome. For eks horizontal pod autoscaling, the decisive verification is: Increasing per-pod demand creates additional ready pod replicas and matching node capacity where required.

C:

Read-heavy workload load tests show lower primary utilization and accepted replica-lag behavior for dashboards. That result would help prove rds read replicas, where the relevant action is: Introduce appropriately sized RDS read replicas and route eligible read queries to replica endpoints with lag-aware behavior. It does not establish this case's required outcome. For eks horizontal pod autoscaling, the decisive verification is: Increasing per-pod demand creates additional ready pod replicas and matching node capacity where required.

D:

Increasing desired tasks causes suitable container instances to join and pending tasks enter RUNNING when capacity appears. That result would help prove ecs capacity providers, where the relevant action is: Configure an ECS capacity provider strategy with managed scaling for the underlying cluster where appropriate. It does not establish this case's required outcome. For eks horizontal pod autoscaling, the decisive verification is: Increasing per-pod demand creates additional ready pod replicas and matching node capacity where required.

Question 509

A security team needs near-real-time application logs in its analysis pipeline rather than polling CloudWatch Logs every hour.

What risk best explains the need for a different approach?

  1. Hourly polling delays incident visibility and may miss short-lived attack indicators during critical windows.
  2. Indefinite unreviewed retention increases storage spend and may violate privacy obligations for diagnostic data.
  3. Shared long-lived keys spread broad account access and create a difficult-to-audit monitoring dependency.
  4. Relying only on CPU hides accumulating work and delays response until users report failures.

Explanation

Correct Answer

A:

Hourly polling delays incident visibility and may miss short-lived attack indicators during critical windows. This outcome arises from the mechanism in the situation: Subscriptions forward matching log events to a processor such as Kinesis Data Streams or Lambda shortly after ingestion. The corresponding mitigation is: Configure CloudWatch Logs subscription filters to a supported streaming destination with suitable IAM and backpressure handling.

Incorrect Answers

B:

Indefinite unreviewed retention increases storage spend and may violate privacy obligations for diagnostic data. That is a credible concern for log group retention, normally addressed by: Set log group retention settings to the required period and verify that protection and regulatory obligations still hold. It is not the primary failure mechanism described here. The relevant exposure is: Hourly polling delays incident visibility and may miss short-lived attack indicators during critical windows.

C:

Shared long-lived keys spread broad account access and create a difficult-to-audit monitoring dependency. That is a credible concern for cross account observability, normally addressed by: Use CloudWatch cross-account observability with a central monitoring account and approved source-account links where applicable. It is not the primary failure mechanism described here. The relevant exposure is: Hourly polling delays incident visibility and may miss short-lived attack indicators during critical windows.

D:

Relying only on CPU hides accumulating work and delays response until users report failures. That is a credible concern for cloudwatch agent custom telemetry, normally addressed by: Install and configure the CloudWatch agent or application instrumentation to publish needed custom metrics and log events with useful dimensions. It is not the primary failure mechanism described here. The relevant exposure is: Hourly polling delays incident visibility and may miss short-lived attack indicators during critical windows.

Question 510

A downstream incident consumer fails for an hour, and the team needs a controlled way to reprocess captured EventBridge events after repair.

What should operators verify before closing the issue?

  1. A selected outage-window replay restores missing incident records without duplicating previously completed remediation actions.
  2. An allowed member account sends a health event to the security account and an unknown account is rejected.
  3. A test event produces the correct enriched ticket and cannot reach the isolation step without its required authorization.
  4. The poison test message moves to the DLQ after the expected attempts and healthy queued messages complete processing.

Explanation

Correct Answer

A:

A selected outage-window replay restores missing incident records without duplicating previously completed remediation actions. It directly verifies the change: Use an EventBridge archive and replay strategy on the intended event bus with idempotent processing and scope controls. The test matters because archived events can be replayed later, but downstream actions must tolerate repeated event delivery and original event timestamps.

Incorrect Answers

B:

An allowed member account sends a health event to the security account and an unknown account is rejected. That result would help prove cross account event routing, where the relevant action is: Configure permitted cross-account EventBridge event-bus routing with resource policies and carefully scoped matching rules. It does not establish this case's required outcome. For eventbridge archive replay, the decisive verification is: A selected outage-window replay restores missing incident records without duplicating previously completed remediation actions.

C:

A test event produces the correct enriched ticket and cannot reach the isolation step without its required authorization. That result would help prove step functions incident orchestration, where the relevant action is: Use a Step Functions workflow with explicit branches, task-level retries and approval-dependent transitions. It does not establish this case's required outcome. For eventbridge archive replay, the decisive verification is: A selected outage-window replay restores missing incident records without duplicating previously completed remediation actions.

D:

The poison test message moves to the DLQ after the expected attempts and healthy queued messages complete processing. That result would help prove sqs dead letter handling, where the relevant action is: Configure an appropriate SQS redrive policy to a dead-letter queue and investigate messages that exceed the retry threshold. It does not establish this case's required outcome. For eventbridge archive replay, the decisive verification is: A selected outage-window replay restores missing incident records without duplicating previously completed remediation actions.

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