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The Amazon DOP-C02 exam covers a wide range of topics, including continuous delivery and deployment, infrastructure as code, monitoring and logging, security and compliance, and automation and optimization. Candidates will be tested on their ability to design and implement scalable, fault-tolerant, and highly available systems on AWS, as well as their proficiency in using AWS services and tools such as AWS CloudFormation, AWS CodePipeline, AWS CodeDeploy, and AWS Elastic Beanstalk. Passing the Amazon DOP-C02 Exam demonstrates a high level of expertise in DevOps practices and AWS technologies, and can help professionals advance their careers in this field.
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The DOP-C02 exam consists of 75 multiple-choice and multiple-response questions and has a time limit of 180 minutes. DOP-C02 exam is available in English, Japanese, Korean, and Simplified Chinese. Candidates must achieve a passing score of 750 out of 1000 to receive the certification. AWS Certified DevOps Engineer - Professional certification is valid for three years, after which candidates must recertify to maintain their certification status. Overall, the DOP-C02 exam is an excellent opportunity for experienced DevOps professionals to validate their skills and demonstrate their expertise in managing AWS environments using DevOps practices.
The AWS Certified DevOps Engineer - Professional Exam tests a candidate's knowledge and expertise in designing, managing, and maintaining AWS services for the purposes of DevOps. This includes continuous delivery, automation, monitoring, and infrastructure as code. In order to Pass DOP-C02 Exam, candidates must have experience with AWS services and must be proficient in working with AWS tools such as AWS Elastic Beanstalk, AWS CodePipeline, AWS CodeDeploy, and AWS CloudFormation.
NEW QUESTION # 180
A company has set up AWS CodeArtifact repositories with public upstream repositories The company's development team consumes open source dependencies from the repositories in the company's internal network.
The company's security team recently discovered a critical vulnerability in the most recent version of a package that the development team consumes. The security team has produced a patched version to fix the vulnerability. The company needs to prevent the vulnerable version from being downloaded. The company also needs to allow the security team to publish the patched version.
Which combination of steps will meet these requirements? {Select TWO.)
Answer: C,D
Explanation:
Update the status of the affected CodeArtifact package version to deleted:
Deleting the vulnerable package version prevents it from being available for download by any users or systems, ensuring that the compromised version is not consumed.
Update the CodeArtifact package origin control settings to allow direct publishing and to block upstream operations:
By allowing direct publishing, the security team can publish the patched version of the package directly to the CodeArtifact repository.
Blocking upstream operations prevents the repository from automatically fetching and serving the vulnerable package version from upstream public repositories.
By deleting the vulnerable version and configuring the origin control settings to allow direct publishing and block upstream operations, the company ensures that only the patched version is available and the vulnerable version cannot be downloaded.
Reference:
Managing Package Versions in CodeArtifact
Package Origin Controls in CodeArtifact
NEW QUESTION # 181
A company runs a microservices application on Amazon EKS. Users report delays accessing an account summary feature during peak hours. CloudWatch metrics and logs show normal CPU and memory utilization on EKS nodes. The DevOps engineer cannot identify where delays occur within the microservices.
Which solution will meet these requirements?
Answer: B
Explanation:
* AWS X-Ray providesdistributed tracing, which allows visualization of latencies and errors within microservices, pinpointing bottlenecks or delays.
* Instrumenting application code with the X-Ray SDK and running the X-Ray daemon as a DaemonSet in EKS ensures tracing data is collected cluster-wide.
* Container Insights (Option B) provides resource-level metrics but not detailed request tracing.
* CloudWatch alarms and alerts (Option C) detect symptoms but don't provide root cause tracing.
* Increasing timeouts (Option D) only masks the issue and does not diagnose it.
References:
AWS X-Ray for Amazon EKS
Distributed Tracing in Microservices
NEW QUESTION # 182
A company is using an Amazon Aurora cluster as the data store for its application. The Aurora cluster is configured with a single DB instance. The application performs read and write operations on the database by using the cluster's instance endpoint.
The company has scheduled an update to be applied to the cluster during an upcoming maintenance window. The cluster must remain available with the least possible interruption during the maintenance window.
What should a DevOps engineer do to meet these requirements?
Answer: D
NEW QUESTION # 183
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: A
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 # 184
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: D
NEW QUESTION # 185
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