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| Certification Vendor: | Amazon AWS |
|---|---|
| Exam Name: | AWS Certified DevOps Engineer - Professional |
| Exam Number: | DOP-C02 |
| Related Certifications: | AWS Certified SysOps Administrator - Associate AWS Certified Developer - Associate |
| Exam Price: | 300 USD |
| Exam Duration: | 180 minutes |
| Passing Score: | 750 (scaled score 100–1000) |
| Certificate Validity Period: | 3 years |
| Available Languages: | Korean, Simplified Chinese, Japanese, English, Traditional Chinese |
| Real Exam Qty: | 75 (65 scored, 10 unscored) |
| Exam Format: | Multiple response, Multiple choice |
| Recommended Training: | AWS Training and Certification AWS Certified DevOps Engineer - Professional Exam Guide |
| Exam Registration: | AWS Certification Registration Pearson VUE Registration |
| Sample Questions: | Amazon DOP-C02 Sample Questions |
| Exam Way: | Online proctored or onsite at testing centers |
| Pre Condition: | Recommended: AWS Certified Developer - Associate or AWS Certified SysOps Administrator - Associate, plus 2+ years of hands-on experience provisioning, operating, and managing AWS environments |
| Official Syllabus URL: | https://docs.aws.amazon.com/aws-certification/latest/devops-engineer-professional-02/devops-engineer-professional-02.html |
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To prepare for the Amazon DOP-C02 Certification Exam, candidates can take advantage of various resources provided by AWS, such as training courses, practice exams, and sample questions. Candidates can also leverage their experience with AWS services and DevOps methodologies to prepare for the exam. It is recommended that candidates have at least two years of experience with AWS services and one year of experience with DevOps practices before attempting the certification exam.
NEW QUESTION # 109
A company uses AWS Organizations to manage multiple accounts. Information security policies require that all unencrypted Amazon EBS volumes be marked as non-compliant. A DevOps engineer needs to automatically deploy the solution and ensure that this compliance check is always present.
Which solution will accomplish this?
Answer: D
Explanation:
https://docs.aws.amazon.com/config/latest/developerguide/ec2-ebs-encryption-by-default.html
NEW QUESTION # 110
A company uses an organization in AWS Organizations to manage multiple AWS accounts The company needs an automated process across all AWS accounts to isolate any compromised Amazon EC2 instances when the instances receive a specific tag.
Which combination of steps will meet these requirements? (Select TWO.)
Answer: B,E
Explanation:
Step 1: Deploy the Automation Solution using CloudFormation StackSets
To automate the process across multiple AWS accounts within an organization, you can use AWS CloudFormation StackSets. StackSets allow you to deploy CloudFormation templates to multiple accounts within an organization, ensuring consistent infrastructure and automation.
Action: Use AWS CloudFormation StackSets to deploy the necessary resources across all AWS accounts.
This includes deploying the Lambda function and security groups that will isolate compromised EC2 instances.
Why: StackSets make it easy to deploy and manage resources across multiple AWS accounts, reducing the operational overhead.
Reference: AWS documentation on CloudFormation StackSets.
This corresponds to Option A: Use AWS CloudFormation StackSets to deploy the CloudFormation stacks in all AWS accounts.
Step 2: Isolate EC2 Instances using Lambda and Security GroupsWhen an EC2 instance is compromised, it needs to be isolated from the network. This can be done by creating a security group with no inbound or outbound rules and attaching it to the instance. A Lambda function can handle this process and can be triggered automatically by an Amazon EventBridge rule when a specific tag (e.g., "isolation") is applied to the compromised instance.
Action: Create a Lambda function that attaches an isolated security group (with no inbound or outbound rules) to the compromised EC2 instances. Set up an EventBridge rule to trigger the Lambda function when the
"isolation" tag is applied to the instance.
Why: This automates the isolation process, ensuring that any compromised instances are immediately cut off from the network, reducing the potential damage from the compromise.
Reference: AWS documentation on Tag-based Event Handling.
This corresponds to Option E: Create an AWS CloudFormation template that creates an EC2 instance role that has no IAM policies attached. Configure the template to have a security group that has no inbound rules or outbound rules. Use the CloudFormation template to create an AWS Lambda function that attaches the IAM role to instances. Configure the Lambda function to replace any existing security groups with the new security group. Set up an Amazon EventBridge rule to invoke the Lambda function when a specific tag is applied to a compromised EC2 instance.
NEW QUESTION # 111
A company is building a serverless application that uses AWS Lambda functions to process data.
A BeginResponse Lambda function initializes data in response to specific application events. The company needs to ensure that a large number of Lambda functions are invoked after the BeginResponse Lambda function runs. Each Lambda function must be invoked in parallel and depends on only the outputs of the BeginResponse Lambda function. Each Lambda function has retry logic for invocation and must be able to fine-tune concurrency without losing data.
Which solution will meet these requirements with the MOST operational efficiency?
Answer: A
Explanation:
To invoke many Lambda functions in parallel and allow each function to have independent retry logic and concurrency management, using SQS queues for each Lambda function is recommended.
* The BeginResponse Lambda publishes a message to an SNS topic, which fans out to multiple SQS queues (one per Lambda).
* Each Lambda function polls its own SQS queue, allowing fine-grained control of concurrency and retry behavior.
* SNS alone (Option A) invokes Lambda functions but lacks the queue's buffering and retry durability.
* Step Functions (Option D) would invoke Lambdas sequentially, not in parallel, and add complexity.
* Option C reverses SNS and SQS in an inefficient manner.
References:
Using SNS with SQS for fan-out and Lambda processing
Lambda retry behavior with SQS triggers
NEW QUESTION # 112
A company's application teams use AWS CodeCommit repositories for their applications. The application teams have repositories in multiple AWS accounts. All accounts are in an organization in AWS Organizations.
Each application team uses AWS IAM Identity Center (AWS Single Sign-On) configured with an external IdP to assume a developer IAM role. The developer role allows the application teams to use Git to work with the code in the repositories.
A security audit reveals that the application teams can modify the main branch in any repository. A DevOps engineer must implement a solution that allows the application teams to modify the main branch of only the repositories that they manage.
Which combination of steps will meet these requirements? (Select THREE.)
Answer: C,E,F
Explanation:
Short Explanation: To meet the requirements, the DevOps engineer should update the SAML assertion to pass the user's team name, update the IAM role's trust policy to add an access-team session tag that has the team name, create an IAM permissions boundary in each account, and for each CodeCommit repository, add an access-team tag that has the value set to the name of the associated team.
Updating the SAML assertion to pass the user's team name allows the DevOps engineer to use IAM tags to identify which team a user belongs to. This can help enforce fine-grained access control based on the user's team membership1.
Updating the IAM role's trust policy to add an access-team session tag that has the team name allows the DevOps engineer to use IAM condition keys to restrict access based on the session tag value2. For example, the DevOps engineer can use the aws:PrincipalTag condition key to match the access-team tag of the user with the access-team tag of the repository3.
Creating an IAM permissions boundary in each account allows the DevOps engineer to set the maximum permissions that an identity-based policy can grant to an IAM entity. An entity's permissions boundary allows it to perform only the actions that are allowed by both its identity-based policies and its permissions boundaries4. For example, the DevOps engineer can use a permissions boundary policy to limit the actions that a user can perform on CodeCommit repositories based on their access-team tag5.
For each CodeCommit repository, adding an access-team tag that has the value set to the name of the associated team allows the DevOps engineer to use resource tags to identify which team manages a repository. This can help enforce fine-grained access control based on the resource tag value6.
The other options are incorrect because:
Creating an approval rule template for each team in the Organizations management account is not a valid option, as approval rule templates are not supported by AWS Organizations. Approval rule templates are specific to CodeCommit and can only be associated with one or more repositories in the same AWS Region where they are created7.
Creating an approval rule template for each account is not a valid option, as approval rule templates are not designed to restrict access to modify branches. Approval rule templates are designed to require approvals from specified users or groups before merging pull requests8.
Attaching an SCP to the accounts is not a valid option, as SCPs are not designed to restrict access based on tags. SCPs are designed to restrict access based on service actions and resources across all users and roles in an organization's account9.
NEW QUESTION # 113
A DevOps engineer is using AWS CodeDeploy across a fleet of Amazon EC2 instances in an EC2 Auto Scaling group. The associated CodeDeploy deployment group, which is integrated with EC2 Auto Scaling, is configured to perform in-place deployments with codeDeployDefault.oneAtATime During an ongoing new deployment, the engineer discovers that, although the overall deployment finished successfully, two out of five instances have the previous application revision deployed. The other three instances have the newest application revision What is likely causing this issue?
Answer: D
Explanation:
When AWS CodeDeploy performs an in-place deployment, it updates the instances with the new application revision one at a time, as specified by the deployment configuration codeDeployDefault.oneAtATime. If a lifecycle event hook, such as AfterInstall, fails during the deployment, CodeDeploy will attempt to roll back to the previous version on the affected instances. This is likely what happened with the two instances that still have the previous application revision deployed. The failure of the AfterInstall lifecycle event hook triggered the rollback mechanism, resulting in those instances reverting to the previous application revision.
Reference:
AWS CodeDeploy documentation on redeployment and rollback procedures1.
Stack Overflow discussions on re-deploying older revisions with AWS CodeDeploy2.
AWS CLI reference guide for deploying a revision2.
NEW QUESTION # 114
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