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Amazon DOP-C02 certification exam is a challenging exam that requires extensive knowledge of DevOps methodologies and AWS services. It consists of multiple-choice questions and is administered in a proctored environment. DOP-C02 Exam is designed to test an individual's ability to apply their knowledge of DevOps methodologies and AWS services to real-world scenarios.

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To be eligible for the Amazon DOP-C02 exam, candidates must have already earned the AWS Certified Developer - Associate or AWS Certified SysOps Administrator - Associate certification. They must also have at least two years of experience using AWS technologies for deploying and managing applications, as well as experience working with DevOps methodologies.

Amazon DOP-C02 exam is a professional-level certification for those who want to validate their expertise in the field of DevOps. AWS Certified DevOps Engineer - Professional certification is intended for experienced DevOps engineers, developers, and system administrators who want to demonstrate their proficiency in designing, deploying, and managing highly available, scalable, and fault-tolerant systems on the AWS platform. DOP-C02 Exam measures the candidate's ability to design and manage continuous delivery systems and methodologies on AWS, implement and manage highly available and scalable systems, and automate operational processes.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q151-Q156):

NEW QUESTION # 151
A DevOps engineer is building a solution that uses Amazon Simple Queue Service (Amazon SQS) standard queues. The solution also includes an AWS Lambda function and an Amazon DynamoDB table. The Lambda function pulls content from the SQS queue and writes the content to the DynamoDB table.
The solution must maximize the scalability of the Lambda function and must prevent successfully processed SQS messages from being processed multiple times.
Which solution will meet these requirements?

Answer: A

Explanation:
When a Lambda function processes an SQS batch and a subset of messages fail, the default behavior re- queues the entire batch, causing already-successfully-processed messages to be delivered and processed again.
The ReportBatchItemFailures feature in the Lambda event source mapping allows the function to return a partial failure response, indicating only the specific message IDs that failed. Lambda then deletes the successfully processed messages from the queue and re-queues only the failed items, preventing duplicate processing of successful messages. This approach maintains high concurrency because it does not restrict parallelism. Setting batch size to 1 (Option B) avoids batching entirely but eliminates the concurrency and throughput benefits. Reserved concurrency of 1 (Option D) severely restricts scalability. A 1-second batch window (Option A) affects how long Lambda waits to form a batch but does not prevent duplicate processing.


NEW QUESTION # 152
A company is using AWS CodePipeline to automate its release pipeline. AWS CodeDeploy is being used in the pipeline to deploy an application to Amazon Elastic Container Service (Amazon ECS) using the blue
/green deployment model. The company wants to implement scripts to test the green version of the application before shifting traffic. These scripts will complete in 5 minutes or less. If errors are discovered during these tests, the application must be rolled back.
Which strategy will meet these requirements?

Answer: D

Explanation:
https://docs.aws.amazon.com/codedeploy/latest/userguide/reference-appspec-file-structure-hooks.html


NEW QUESTION # 153
A company uses an organization in AWS Organizations to manage several AWS accounts that the company's developers use. The company requires all data to be encrypted in transit.
Multiple Amazon S3 buckets that were created in developer accounts allow unencrypted connections. A DevOps engineer must enforce encryption of data in transit for all existing S3 buckets that are created in accounts in the organization.
Which solution will meet these requirements?

Answer: C


NEW QUESTION # 154
A company runs an application on an Amazon Elastic Container Service (Amazon ECS) service by using the AWS Fargate launch type. The application consumes messages from an Amazon Simple Queue Service (Amazon SQS) queue. The application can take several minutes to process each message from the queue. When the application processes a message, the application reads a file from an Amazon S3 bucket and processes the data in the file. The application writes the processed output to a second S3 bucket. The company uses Amazon CloudWatch Logs to monitor processing errors and to ensure that the application processes messages successfully.
The SQS queue typically receives a low volume of messages. However, occasionally the queue receives higher volumes of messages. A DevOps engineer needs to implement a solution to reduce the processing time of message bursts.
Which solution will meet this requirement in the MOST cost-effective way?

Answer: C

Explanation:
Comprehensive and Detailed Explanation From Exact Extract of DevOps Engineer Documents Only:
AWS recommends Application Auto Scaling for ECS services to dynamically adjust the number of running tasks based on Amazon SQS queue metrics such as ApproximateNumberOfMessagesVisible. By using target tracking scaling policies, ECS on Fargate scales automatically when the queue backlog grows and scales down when traffic decreases - a fully managed, cost-efficient solution (see ECS Service Auto Scaling Developer Guide).


NEW QUESTION # 155
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: A,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 # 156
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