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| Section | Weight | Objectives |
|---|---|---|
| Incident and Event Response | 18% | - Design and implement chaos engineering practices
|
| Monitoring and Logging | 12% | - Design and implement alerting and incident management
|
| Policies and Standards Automation | 10% | - Design and implement governance strategies
|
| High Availability and Disaster Recovery | 16% | - Design and implement high availability and scalability
|
| SDLC Automation | 22% | - Design and implement source code management strategies
|
| Configuration Management and Infrastructure as Code | 22% | - Design and implement infrastructure as code
|
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問題 #389
A DevOps engineer needs to configure an AWS CodePipeline pipeline that publishes container images to an Amazon Elastic Container Registry (Amazon ECR) repository. The pipeline must wait for the previous run to finish and must run when new Git tags are pushed to a Git repository that is connected to AWS CodeConnections. An existing deployment pipeline needs to run in response to the publication of new container images.
Which solution will meet these requirements?
答案：A
解題說明：
The requirements clearly indicate the need for modern CodePipeline capabilities , strict execution ordering, Git tag-based triggers, and loose coupling between pipelines. CodePipeline V2 introduces execution modes such as QUEUED and SUPERSEDED , along with native support for advanced trigger filtering when using AWS CodeConnections.
The requirement that the pipeline must wait for the previous run to finish directly maps to QUEUED mode , which ensures that pipeline executions run sequentially rather than replacing in-progress executions.
SUPERSEDED mode would cancel the running execution, which violates the requirement.
Triggering the pipeline when new Git tags are pushed is supported through CodePipeline V2 trigger filters using refs/tags/*. Branch-based triggers would not satisfy this condition.
Finally, the requirement that an existing deployment pipeline runs in response to new container images is best met using Amazon EventBridge , which natively emits events for ECR image push actions . EventBridge allows decoupled, event-driven orchestration between pipelines without tight dependencies or custom scripting. This is the AWS-recommended approach for pipeline-to-pipeline coordination.
Options C and D rely on CodePipeline V1 , which lacks modern trigger filtering and execution control.
Option B incorrectly uses SUPERSEDED mode and branch-based triggers.
Therefore, Option A correctly combines CodePipeline V2 , QUEUED execution mode , tag-based triggers
, and EventBridge-driven pipeline chaining , meeting all requirements with best practices and minimal operational complexity.
問題 #390
A company detects unusual login attempts in many of its AWS accounts. A DevOps engineer must implement a solution that sends a notification to the company's security team when multiple failed login attempts occur.
The DevOps engineer has already created an Amazon Simple Notification Service (Amazon SNS) topic and has subscribed the security team to the SNS topic.
Which solution will provide the notification with the LEAST operational effort?
答案：C
解題說明：
The correct answer is C. Configuring AWS CloudTrail to send log data events to an Amazon CloudWatch Logs log group and creating a CloudWatch logs metric filter to match failed ConsoleLogin events is the simplest and most efficient way to monitor and alert on failed login attempts. Creating a CloudWatch alarm that is based on the metric filter and configuring an alarm action to send messages to the SNS topic will ensure that the security team is notified when multiple failed login attempts occur. This solution requires the least operational effort compared to the other options.
Option A is incorrect because it involves configuring AWS CloudTrail to send log management events instead of log data events. Log management events are used to track changes to CloudTrail configuration, such as creating, updating, or deleting a trail. Log data events are used to track API activity in AWS accounts, such as login attempts. Therefore, option A will not capture the failed ConsoleLogin events.
Option B is incorrect because it involves creating an Amazon Athena query and two Amazon EventBridge rules to monitor and alert on failed login attempts. This is a more complex and costly solution than using CloudWatch logs and alarms. Moreover, option B relies on the query returning a failure, which may not happen if the query is executed successfully but does not find any failed logins.
Option D is incorrect because it involves configuring AWS CloudTrail to send log data events to an Amazon S3 bucket and configuring an Amazon S3 event notification for the s3:ObjectCreated event type. This solution will not work because the s3:ObjectCreated event type does not allow filtering by ConsoleLogin failed events. The event notification will be triggered for any object created in the S3 bucket, regardless of the event type. Therefore, option D will generate a lot of false positives and unnecessary notifications.
AWS CloudTrail Log File Examples
Creating CloudWatch Alarms for CloudTrail Events: Examples
Monitoring CloudTrail Log Files with Amazon CloudWatch Logs
問題 #391
A company detects unusual login attempts in many of its AWS accounts. A DevOps engineer must implement a solution that sends a notification to the company's security team when multiple failed login attempts occur.
The DevOps engineer has already created an Amazon Simple Notification Service (Amazon SNS) topic and has subscribed the security team to the SNS topic.
Which solution will provide the notification with the LEAST operational effort?
答案：C
解題說明：
The correct answer is C. Configuring AWS CloudTrail to send log data events to an Amazon CloudWatch Logs log group and creating a CloudWatch logs metric filter to match failed ConsoleLogin events is the simplest and most efficient way to monitor and alert on failed login attempts. Creating a CloudWatch alarm that is based on the metric filter and configuring an alarm action to send messages to the SNS topic will ensure that the security team is notified when multiple failed login attempts occur. This solution requires the least operational effort compared to the other options.
Option A is incorrect because it involves configuring AWS CloudTrail to send log management events instead of log data events. Log management events are used to track changes to CloudTrail configuration, such as creating, updating, or deleting a trail. Log data events are used to track API activity in AWS accounts, such as login attempts. Therefore, option A will not capture the failed ConsoleLogin events.
Option B is incorrect because it involves creating an Amazon Athena query and two Amazon EventBridge rules to monitor and alert on failed login attempts. This is a more complex and costly solution than using CloudWatch logs and alarms. Moreover, option B relies on the query returning a failure, which may not happen if the query is executed successfully but does not find any failed logins.
Option D is incorrect because it involves configuring AWS CloudTrail to send log data events to an Amazon S3 bucket and configuring an Amazon S3 event notification for the s3:ObjectCreated event type. This solution will not work because the s3:ObjectCreated event type does not allow filtering by ConsoleLogin failed events. The event notification will be triggered for any object created in the S3 bucket, regardless of the event type. Therefore, option D will generate a lot of false positives and unnecessary notifications.
References:
* AWS CloudTrail Log File Examples
* Creating CloudWatch Alarms for CloudTrail Events: Examples
* Monitoring CloudTrail Log Files with Amazon CloudWatch Logs
問題 #392
The security team depends on AWS CloudTrail to detect sensitive security issues in the company's AWS account. The DevOps engineer needs a solution to auto-remediate CloudTrail being turned off in an AWS account.
What solution ensures the LEAST amount of downtime for the CloudTrail log deliveries?
答案：B
解題說明：
https://aws.amazon.com/blogs/mt/monitor-changes-and-auto-enable-logging-in-aws-cloudtrail/
問題 #393
A DevOps engineer is working on a member account in an organization in AWS Organizations with all features enabled . The account has sensitive data stored in Amazon S3 buckets.
The DevOps engineer must ensure that all public access to S3 buckets in the account is blocked . If the account-level S3 Block Public Access settings change in the future, the changes must be reverted automatically so that all public access is blocked again.
Which solution meets these requirements?
答案：B
解題說明：
Option B is the only choice that directly satisfies both requirements:
* Continuously evaluate the account-level S3 Block Public Access setting
* AWS Config is designed to record configuration state and evaluate resources/settings against rules over time.
* A Config rule (managed rule) can check whether the account-level "S3 Block Public Access" settings are configured as required (i.e., blocking public access).
* Automatically revert drift (auto-remediate) if someone changes the setting later
* AWS Config Remediation can automatically trigger an AWS Systems Manager Automation runbook when the rule becomes NON_COMPLIANT .
* Using an SSM Automation document/runbook that sets S3 account-level Block Public Access back to the required "blocked" configuration ensures that any future change is corrected automatically , restoring compliance without manual intervention.
Why the other options don't fully meet the requirement:
* A (Security Hub) : Security Hub primarily aggregates findings and checks controls. While it can integrate with automation, AWS Config is the standard service for configuration drift detection + automatic remediation loops for account-level posture settings. Security Hub is not the most direct
"detect config drift and auto-fix" mechanism for an account setting in the way Config remediation is.
* C (SCP) : An SCP can restrict API actions, but it doesn't "revert" a changed S3 Block Public Access configuration ; it only prevents/limits what actions can be called. Also, "deny S3 actions from outside the account" is not the same as enforcing Block Public Access settings at the account level.
* D (Macie + EventBridge) : Macie focuses on data discovery and sensitive data findings , not enforcing or continuously remediating S3 account-level Block Public Access configuration drift.
Triggering remediation off Macie findings is indirect and not aligned to "setting changed # immediately revert."
問題 #394
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