Exactprep DOP-C02 Questions

AWS Certified DevOps Engineer - Professional Questions and Answers

Question 81

A company hosts its staging website using an Amazon EC2 instance backed with Amazon EBS storage. The company wants to recover quickly with minimal data losses in the event of network connectivity issues or power failures on the EC2 instance.

Which solution will meet these requirements?

Options:

Add the instance to an EC2 Auto Scaling group with the minimum, maximum, and desired capacity set to 1.

Add the instance to an EC2 Auto Scaling group with a lifecycle hook to detach the EBS volume when the EC2 instance shuts down or terminates.

Create an Amazon CloudWatch alarm for the StatusCheckFailed System metric and select the EC2 action to recover the instance.

Create an Amazon CloudWatch alarm for the StatusCheckFailed Instance metric and select the EC2 action to reboot the instance.

Question 82

A company configured an Amazon S3 event source for an AWS Lambda function. The company needs the Lambda function to run when a new object is created or an existing object is modified in a specific S3 bucket. The Lambda function will use the S3 bucket name and the S3 object key of the incoming event to read the contents of the new or modified S3 object. The Lambda function will parse the contents and save the parsed contents to an Amazon DynamoDB table.

The Lambda function's execution role has permissions to 'eari from the S3 bucket and to Write to the DynamoDB table. During testing, a DevOpS engineer discovers that the Lambda fund on does rot run when objects are added to the S3 bucket or when existing objects are modified.

Which solution will resolve these problems?

Options:

Create an S3 bucket policy for the S3 bucket that grants the S3 bucket permission to invoke the Lambda function.

Create a resource policy for the Lambda function to grant Amazon S3 permission to invoke the Lambda function on the S3 bucket.

Configure an Amazon Simple Queue Service (Amazon SQS) queue as an OnFailure destination for the Lambda function. Update the Lambda function to process messages from the SQS queue and the S3 event notifications.

Configure an Amazon Simple Queue Service (Amazon SQS) queue as the destination for the S3 bucket event notifications. Update the Lambda function's execution role to have permission to read from the SQS queue. Update the Lambda function to consume messages from the SQS queue.

Question 83

A DevOps engineer is supporting early-stage development for a developer platform running on Amazon EKS. Recently, the platform has experienced an increased rate of container restart failures. The DevOps engineer wants diagnostic information to isolate and resolve issues.

Which solution will meet this requirement?

Options:

Configure CloudWatch dashboards using default EKS service metrics.

Configure AWS CloudTrail for the EKS cluster.

Configure CloudTrail Insights for the EKS cluster.

Configure Amazon CloudWatch Container Insights for the EKS cluster by enabling the CloudWatch Observability add-on.

Question 84

A company sells products through an ecommerce web application The company wants a dashboard that shows a pie chart of product transaction details. The company wants to integrate the dashboard With the company’s existing Amazon CloudWatch dashboards

Which solution Will meet these requirements With the MOST operational efficiency?

Options:

Update the ecommerce application to emit a JSON object to a CloudWatch log group for each processed transaction. Use CloudWatch Logs Insights to query the log group and to visualize the results in a pie chart format Attach the results to the desired CloudWatch dashboard.

Update the ecommerce application to emit a JSON object to an Amazon S3 bucket for each processed transaction. Use Amazon Athena to query the S3 bucket and to visualize the results In a Pie chart format. Export the results from Athena Attach the results to the desired CloudWatch dashboard

Update the ecommerce application to use AWS X-Ray for instrumentation. Create a new X-Ray subsegment Add an annotation for each processed transaction. Use X-Ray traces to query the data and to visualize the results in a pie chart format Attach the results to the desired CloudWatch dashboard

Update the ecommerce application to emit a JSON object to a CloudWatch log group for each processed transaction_ Create an AWS Lambda function to aggregate and write the results to Amazon DynamoDB. Create a Lambda subscription filter for the log file. Attach the results to the desired CloudWatch dashboard.

Answer:

Explanation:

The correct answer is A.

A comprehensive and detailed explanation is:

Option A is correct because it meets the requirements with the most operational efficiency. Updating the ecommerce application to emit a JSON object to a CloudWatch log group for each processed transaction is a simple and cost-effective way to collect the data needed for the dashboard. Using CloudWatch Logs Insights to query the log group and to visualize the results in a pie chart format is also a convenient and integrated solution that leverages the existing CloudWatch dashboards. Attaching the results to the desired CloudWatch dashboard is straightforward and does not require any additional steps or services.

Option B is incorrect because it introduces unnecessary complexity and cost. Updating the ecommerce application to emit a JSON object to an Amazon S3 bucket for each processed transaction is a valid way to store the data, but it requires creating and managing an S3 bucket and its permissions. Using Amazon Athena to query the S3 bucket and to visualize the results in a pie chart format is also a valid way to analyze the data, but it incurs charges based on the amount of data scanned by each query. Exporting the results from Athena and attaching them to the desired CloudWatch dashboard is also an extra step that adds more overhead and latency.

Option C is incorrect because it uses AWS X-Ray for an inappropriate purpose. Updating the ecommerce application to use AWS X-Ray for instrumentation is a good practice for monitoring and tracing distributed applications, but it is not designed for aggregating product transaction details. Creating a new X-Ray subsegment and adding an annotation for each processed transaction is possible, but it would clutter the X-Ray service map and make it harder to debug performance issues. Using X-Ray traces to query the data and to visualize the results in a pie chart format is also possible, but it would require custom code and logic that are not supported by X-Ray natively. Attaching the results to the desired CloudWatch dashboard is also not supported by X-Ray directly, and would require additional steps or services.

Option D is incorrect because it introduces unnecessary complexity and cost. Updating the ecommerce application to emit a JSON object to a CloudWatch log group for each processed transaction is a simple and cost-effective way to collect the data needed for the dashboard, as in option A. However, creating an AWS Lambda function to aggregate and write the results to Amazon DynamoDB is redundant, as CloudWatch Logs Insights can already perform aggregation queries on log data. Creating a Lambda subscription filter for the log file is also redundant, as CloudWatch Logs Insights can already access log data directly. Attaching the results to the desired CloudWatch dashboard would also require additional steps or services, as DynamoDB does not support native integration with CloudWatch dashboards.

[References:, CloudWatch Logs Insights, Amazon Athena, AWS X-Ray, AWS Lambda, Amazon DynamoDB, , , , , ]

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