Amazon Web Services crack4sure dop-c02 Actual Questions by Advik q15 vce pdf

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Exam Name:	AWS Certified DevOps Engineer - Professional
Exam Code:	DOP-C02 Dumps
Vendor:	Amazon Web Services	Certification:	AWS Certified Professional
Questions:	425 Q&A's	Shared By:	advik

Question 120

A company runs an application that uses an Amazon S3 bucket to store images. A DevOps engineer needs to implement a multi-Region disaster recovery (DR) strategy for the S3 objects. The DevOps engineer enables two-way replication between the S3 buckets.

The company must be able to fail over to a second S3 bucket that is in a second AWS Region. When an image is added to either S3 bucket, the image must be replicated to the other S3 bucket within 15 minutes .

Which combination of steps will meet these requirements in the MOST operationally efficient way? ( Select THREE. )

Options:

Enable S3 Replication Time Control (S3 RTC) for each replication rule used in the configuration.

Create an S3 Multi-Region Access Point in an active-passive configuration.

Call the SubmitMultiRegionAccessPointRoutes operation in the Amazon S3 API when the company needs to fail over to the S3 bucket in the second Region.

Enable S3 Transfer Acceleration on both S3 buckets.

Configure a routing control in Amazon Route 53 Application Recovery Controller (ARC) . Add both S3 buckets in an active-passive configuration.

Use Amazon Route 53 Application Recovery Controller (ARC) to shift traffic from the primary bucket to the failover bucket in the second Region.

Discussion

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Question 121

A DevOps administrator is configuring a repository to store a company ' s container images. The administrator needs to configure a lifecycle rule that automatically deletes container images that have a specific tag and that are older than 15 days. Which solution will meet these requirements with the MOST operational efficiency?

Options:

Create a repository in Amazon Elastic Container Registry (Amazon ECR). Add a lifecycle policy to the repository to expire images that have the matching tag after 15 days.

Create a repository in AWS CodeArtifact. Add a repository policy to the CodeArtifact repository to expire old assets that have the matching tag after 15 days.

Create a bucket in Amazon S3. Add a bucket lifecycle policy to expire old objects that have the matching tag after 15 days.

Create an EC2 Image Builder container recipe. Add a build component to expire the container that has the matching tag after 15 days.

Discussion

Question 122

A company ' s application runs on Amazon EC2 instances. The application writes to a log file that records the username, date, time: and source IP address of the login. The log is published to a log group in Amazon CloudWatch Logs

The company is performing a root cause analysis for an event that occurred on the previous day The company needs to know the number of logins for a specific user from the past 7 days

Which solution will provide this information ' ?

Options:

Create a CloudWatch Logs metric filter on the log group Use a filter pattern that matches the username. Publish a CloudWatch metric that sums the number of logins over the past 7 days.

Create a CloudWatch Logs subscription on the log group Use a filter pattern that matches the username Publish a CloudWatch metric that sums the number of logins over the past 7 days

Create a CloudWatch Logs Insights query that uses an aggregation function to count the number of logins for the username over the past 7 days. Run the query against the log group

Create a CloudWatch dashboard. Add a number widget that has a filter pattern that counts the number of logins for the username over the past 7 days directly from the log group

Discussion

Question 123

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?

Options:

Deploy the AWS X-Ray daemon as a DaemonSet in the EKS cluster. Use the X-Ray SDK to instrument the application code. Redeploy the application.

Enable CloudWatch Container Insights for the EKS cluster. Use the Container Insights data to diagnose delays.

Create alarms based on existing CloudWatch metrics. Set up SNS email alerts.

Increase the timeout settings in the application code for network operations.