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To become an AWS Certified DevOps Engineer - Professional, candidates must possess a strong understanding of AWS services, such as Elastic Compute Cloud (EC2), Elastic Beanstalk, and Amazon Simple Storage Service (S3), as well as proficiency in continuous integration and continuous delivery (CI/CD) practices. The DOP-C02 Exam consists of 75 multiple-choice and multiple-response questions, and candidates have 180 minutes to complete the exam. The passing score for this certification is 750 out of 1000.

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Amazon DOP-C02 Exam copyright Topics:

TopicDetails
Topic 1
  • Resilient Cloud Solutions: AWS DevOps Engineers explore techniques to implement highly available solutions that meet resilience and business continuity requirements. Scalable solutions to align with dynamic business needs are also addressed. Automated recovery processes are emphasized to meet recovery time and point objectives (RTO
  • RPO). These skills are pivotal for demonstrating cloud resilience expertise in the certification exam.
Topic 2
  • Monitoring and Logging: This topic focuses on configuring the collection, aggregation, and storage of logs and metrics, enabling AWS DevOps Engineers to monitor system health. Key skills include auditing, monitoring, and analyzing data to detect issues and automating monitoring processes for complex environments.
Topic 3
  • Configuration Management and IaC: This topic equips AWS DevOps Engineers to define cloud infrastructure and reusable components for provisioning and managing systems throughout their lifecycle. Engineers learn to deploy automation for onboarding and securing AWS accounts across multi-account and multi-region environments.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q419-Q424):

NEW QUESTION # 419
A company uses an organization in AWS Organizations with all features enabled to manage a fleet of AWS accounts. The company expects to create many new accounts for an upcoming project.
The company wants to ensure that the new accounts will not have default VPCs and that users can develop only in specific AWS Regions. The company must monitor the new accounts for compliance with the Center for Internet Security (CIS) AWS Foundations Benchmark framework.
Which combination of solutions will meet these requirements with the LEAST operational effort? (Select TWO.)

Answer: B,E

Explanation:
The company's requirements span preventive governance, account baseline configuration, and continuous compliance monitoring, all with minimal operational overhead. AWS-native, organization-level services are the most efficient way to meet these goals.
To ensure that new accounts do not retain default VPCs and that development is restricted to specific Regions, AWS Control Tower is the correct foundation. However, Control Tower alone does not remove default VPCs. By installing Customizations for AWS Control Tower (CfCT), the company can automatically deploy OU-scoped CloudFormation templates during account provisioning. A simple CloudFormation template can delete default VPCs in all Regions, while Control Tower-managed Region deny guardrails (SCPs) restrict access to only approved Regions. This approach is declarative, repeatable, and tightly integrated with account creation workflows, resulting in low operational overhead.
For CIS AWS Foundations Benchmark compliance monitoring, AWS Security Hub is the purpose-built service. Enabling Security Hub at the organization level and selecting the CIS benchmark automatically evaluates all member accounts against CIS controls and continuously reports findings. This provides centralized visibility and compliance reporting without custom rule development.
Option C introduces custom Lambda automation and EventBridge logic, increasing maintenance burden. Option E is incorrect because Control Tower does not provide full CIS benchmark monitoring; it only offers related detective guardrails.
Therefore, Option B (Control Tower + CfCT) and Option D (Security Hub with CIS benchmark) together provide the most efficient, scalable, and AWS-recommended solution.


NEW QUESTION # 420
A DevOps engineer is designing an application that integrates with a legacy REST API. The application has an AWS Lambda function that reads records from an Amazon Kinesis data stream. The Lambda function sends the records to the legacy REST API.
Approximately 10% of the records that the Lambda function sends from the Kinesis data stream have data errors and must be processed manually. The Lambda function event source configuration has an Amazon Simple Queue Service (Amazon SQS) dead-letter queue as an on-failure destination. The DevOps engineer has configured the Lambda function to process records in batches and has implemented retries in case of failure.
During testing the DevOps engineer notices that the dead-letter queue contains many records that have no data errors and that already have been processed by the legacy REST API. The DevOps engineer needs to configure the Lambda function's event source options to reduce the number of errorless records that are sent to the dead-letter queue.
Which solution will meet these requirements?

Answer: C

Explanation:
This solution will meet the requirements because it will reduce the number of errorless records that are sent to the dead-letter queue. When you configure the setting to split the batch when an error occurs, Lambda will retry only the records that caused the error, instead of retrying the entire batch. This way, the records that have no data errors and have already been processed by the legacy REST API will not be retried and sent to the dead-letter queue unnecessarily.
https://docs.aws.amazon.com/lambda/latest/dg/with-kinesis.html


NEW QUESTION # 421
A company needs to update its order processing application to improve resilience and availability. The application requires a stateful database and uses a single-node Amazon RDS DB instance to store customer orders and transaction history. A DevOps engineer must make the database highly available.
Which solution will meet this requirement?

Answer: A


NEW QUESTION # 422
A company builds a container image in an AWS CodeBuild project by running Docker commands. After the container image is built, the CodeBuild project uploads the container image to an Amazon S3 bucket. The CodeBuild project has an IAM service role that has permissions to access the S3 bucket.
A DevOps engineer needs to replace the S3 bucket with an Amazon Elastic Container Registry (Amazon ECR) repository to store the container images. The DevOps engineer creates an ECR private image repository in the same AWS Region of the CodeBuild project.
The DevOps engineer adjusts the IAM service role with the permissions that are necessary to work with the new ECR repository. The DevOps engineer also places new repository information into the docker build command and the docker push command that are used in the buildspec.yml file.
When the CodeBuild project runs a build job, the job fails when the job tries to access the ECR repository.
Which solution will resolve the issue of failed access to the ECR repository?

Answer: C

Explanation:
Explanation
Update the buildspec.yml file to log in to the ECR repository by using the aws ecr get-login-password AWS CLI command to obtain an authentica-tion token. Update the docker login command to use the authentication token to access the ECR repository.
This is the correct solution. The aws ecr get-login-password AWS CLI command retrieves and displays an authentication token that can be used to log in to an ECR repository. The docker login command can use this token as a password to authenticate with the ECR repository. This way, the CodeBuild project can push and pull images from the ECR repository without any errors. For more information, see Using Amazon ECR with the AWS CLI and get-login-password.


NEW QUESTION # 423
A company uses AWS CodeArtifact to centrally store Python packages. The CodeArtifact repository is configured with the following repository policy.

A development team is building a new project in an account that is in an organization in AWS Organizations.
The development team wants to use a Python library that has already been stored in the CodeArtifact repository in the organization. The development team uses AWS CodePipeline and AWS CodeBuild to build the new application. The CodeBuild job that the development team uses to build the application is configured to run in a VPC Because of compliance requirements the VPC has no internet connectivity.
The development team creates the VPC endpoints for CodeArtifact and updates the CodeBuild buildspec yaml file. However, the development team cannot download the Python library from the repository.
Which combination of steps should a DevOps engineer take so that the development team can use Code Artifact? (Select TWO.)

Answer: B,E

Explanation:
Explanation
"AWS CodeArtifact operates in multiple Availability Zones and stores artifact data and metadata in Amazon S3 and Amazon DynamoDB. Your encrypted data is redundantly stored across multiple facilities and multiple devices in each facility, making it highly available and highly durable."
https://aws.amazon.com/codeartifact/features/ With no internet connectivity, a gateway endpoint becomes necessary to access S3.


NEW QUESTION # 424
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