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Free Amazon Web Services DOP-C02 Practice Exam with Questions & Answers | Set: 12

Questions 111

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?

Options:
A.

Increase the retry attempts

B.

Configure the setting to split the batch when an error occurs

C.

Increase the concurrent batches per shard

D.

Decrease the maximum age of record

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Questions 112

A DevOps team is merging code revisions for an application that uses an Amazon RDS Multi-AZ DB cluster for its production database. The DevOps team uses continuous integration to periodically verify that the application works. The DevOps team needs to test the changes before the changes are deployed to the production database.

Which solution will meet these requirements ' ?

Options:
A.

Use a buildspec file in AWS CodeBuild to restore the DB cluster from a snapshot of the production database run integration tests, and drop the restored database after verification.

B.

Deploy the application to production. Configure an audit log of data control language (DCL) operations to capture database activities to perform if verification fails.

C.

Create a snapshot of the DB duster before deploying the application Use the Update requires Replacement property on the DB instance in AWS CloudFormation to deploy the application and apply the changes.

D.

Ensure that the DB cluster is a Multi-AZ deployment. Deploy the application with the updates. Fail over to the standby instance if verification fails.

Questions 113

A company recently launched multiple applications that use Application Load Balancers. Application response time often slows down when the applications experience problems A DevOps engineer needs to Implement a monitoring solution that alerts the company when the applications begin to perform slowly The DevOps engineer creates an Amazon Simple Notification Semce (Amazon SNS) topic and subscribe the company ' s email address to the topic

What should the DevOps engineer do next to meet the requirements?

Options:
A.

Create an Amazon EventBridge rule that invokes an AWS Lambda function to query the applications on a 5-minute interval Configure the Lambda function to publish a notification to the SNS topic when the applications return errors.

B.

Create an Amazon CloudWatch Synthetics canary that runs a custom script to query the applications on a 5-minute interval. Configure the canary to use the SNS topic when the applications return errors.

C.

Create an Amazon CloudWatch alarm that uses the AWS/AppljcabonELB namespace RequestCountPerTarget metric Configure the CloudWatch alarm to send a notification when the number of connections becomes greater than the configured number of threads that the application supports Configure the CloudWatch alarm to use the SNS topic.

D.

Create an Amazon CloudWatch alarm that uses the AWS/ApplicationELB namespace RequestCountPerTarget metric Configure the CloudWatch alarm to send a notification when the average response time becomes greater than the longest response time that the application supports Configure the CloudWatch alarm to use the SNS topic

Questions 114

A company has an application that runs on Amazon EC2 instances that are in an Auto Scaling group. When the application starts up. the application needs to process data from an Amazon S3 bucket before the application can start to serve requests.

The size of the data that is stored in the S3 bucket is growing. When the Auto Scaling group adds new instances, the application now takes several minutes to download and process the data before the application can serve requests. The company must reduce the time that elapses before new EC2 instances are ready to serve requests.

Which solution is the MOST cost-effective way to reduce the application startup time?

Options:
A.

Configure a warm pool for the Auto Scaling group with warmed EC2 instances in the Stopped state. Configure an autoscaling:EC2_INSTANCE_LAUNCHING lifecycle hook on the Auto Scaling group. Modify the application to complete the lifecycle hook when the application is ready to serve requests.

B.

Increase the maximum instance count of the Auto Scaling group. Configure an autoscaling:EC2_INSTANCE_LAUNCHING lifecycle hook on the Auto Scaling group. Modify the application to complete the lifecycle hook when the application is ready to serve requests.

C.

Configure a warm pool for the Auto Scaling group with warmed EC2 instances in the Running state. Configure an autoscaling:EC2_INSTANCE_LAUNCHING lifecycle hook on the Auto Scaling group. Modify the application to complete the lifecycle hook when the application is ready to serve requests.

D.

Increase the maximum instance count of the Auto Scaling group. Configure an autoscaling:EC2_INSTANCE_LAUNCHING lifecycle hook on the Auto Scaling group. Modify the application to complete the lifecycle hook and to place the new instance in the Standby state when the application is ready to serve requests.

Questions 115

A production account has a requirement that any Amazon EC2 instance that has been logged in to manually must be terminated within 24 hours. All applications in the production account are using Auto Scaling groups with the Amazon CloudWatch Logs agent configured.

How can this process be automated?

Options:
A.

Create a CloudWatch Logs subscription to an AWS Step Functions application. Configure an AWS Lambda function to add a tag to the EC2 instance that produced the login event and mark the instance to be decommissioned. Create an Amazon EventBridge rule to invoke a second Lambda function once a day that will terminate all instances with this tag.

B.

Create an Amazon CloudWatch alarm that will be invoked by the login event. Send the notification to an Amazon Simple Notification Service (Amazon SNS) topic that the operations team is subscribed to, and have them terminate the EC2 instance within 24 hours.

C.

Create an Amazon CloudWatch alarm that will be invoked by the login event. Configure the alarm to send to an Amazon Simple Queue Service (Amazon SQS) queue. Use a group of worker instances to process messages from the queue, which then schedules an Amazon EventBridge rule to be invoked.

D.

Create a CloudWatch Logs subscription to an AWS Lambda function. Configure the function to add a tag to the EC2 instance that produced the login event and mark the instance to be decommissioned. Create an Amazon EventBridge rule to invoke a daily Lambda function that terminates all instances with this tag.

Questions 116

A company has a web application that publishes logs that contain metadata for transactions, with a status of success or failure for each log. The logs are in JSON format. The application publishes the logs to an Amazon CloudWatch Logs log group.

The company wants to create a dashboard that displays the number of successful transactions.

Which solution will meet this requirement with the LEAST operational overhead?

Options:
A.

Create an Amazon OpenSearch Service cluster and an OpenSearch Service subscription filter to send the log group data to the cluster. Create a dashboard within the Dashboards feature in the OpenSearch Service cluster by using a search query for transactions that have a status of success.

B.

Create a CloudWatch subscription filter for the log group that uses an AWS Lambda function. Configure the Lambda function to parse the JSON logs and publish a custom metric to CloudWatch for transactions that have a status of success. Create a CloudWatch dashboard by using a metric graph that displays the custom metric.

C.

Create a CloudWatch metric filter for the log groups with a filter pattern that matches the transaction status property and a value of success. Create a CloudWatch dashboard by using a metric graph that displays the new metric.

D.

Create an Amazon Kinesis data stream that is subscribed to the log group. Configure the data stream to filter incoming log data based on a status of success and to send the filtered logs to an AWS Lambda function. Configure the Lambda function to publish a custom metric to CloudWatch. Create a CloudWatch dashboard by using a metric graph that displays the custom metric.

Questions 117

A company runs several applications in the same AWS account. The applications send logs to Amazon CloudWatch.

A data analytics team needs to collect performance metrics and custom metrics from the applications. The analytics team needs to transform the metrics data before storing the data in an Amazon S3 bucket. The analytics team must automatically collect any new metrics that are added to the CloudWatch namespace.

Which solution will meet these requirements with the LEAST operational overhead?

Options:
A.

Configure a CloudWatch metric stream to include metrics from the application and the CloudWatch namespace. Configure the metric stream to deliver the metrics to an Amazon Data Firehose delivery stream. Configure the Firehose delivery stream to invoke an AWS Lambda function to transform the data. Configure the delivery stream to send the transformed data to the S3 bucket.

B.

Configure a CloudWatch metrics stream to include all the metrics and to deliver the metrics to an Amazon Data Firehose delivery stream. Configure the Firehose delivery stream to invoke an AWS Lambda function to transform the data. Configure the delivery stream to send the transformed data to the S3 bucket.

C.

Configure metric filters for the CloudWatch logs to create custom metrics. Configure a CloudWatch metric stream to deliver the application metrics to the S3 bucket.

D.

Configure subscription filters on the application log groups to target an Amazon Data Firehose delivery stream. Configure the Firehose delivery stream to invoke an AWS Lambda function to transform the data. Configure the delivery stream to send the transformed data to the S3 bucket.

Questions 118

A company wants to use AWS CloudFormation for infrastructure deployment. The company has strict tagging and resource requirements and wants to limit the deployment to two Regions. Developers will need to deploy multiple versions of the same application.

Which solution ensures resources are deployed in accordance with company policy?

Options:
A.

Create AWS Trusted Advisor checks to find and remediate unapproved CloudFormation StackSets.

B.

Create a Cloud Formation drift detection operation to find and remediate unapproved CloudFormation StackSets.

C.

Create CloudFormation StackSets with approved CloudFormation templates.

D.

Create AWS Service Catalog products with approved CloudFormation templates.

Questions 119

A company is implementing a standardized security baseline across its AWS accounts. The accounts are in an organization in AWS Organizations. The company must deploy consistent IAM roles and policies across all existing and future accounts in the organization. Which solution will meet these requirements with the MOST operational efficiency?

Options:
A.

Enable AWS Control Tower in the management account. Configure AWS Control Tower Account Factory customization to deploy the required IAM roles and policies to all accounts.

B.

Activate trusted access for AWS CloudFormation StackSets in Organizations. In the management account, create a stack set that has service-managed permissions to deploy the required IAM roles and policies to all accounts. Enable automatic deployment for the stack set.

C.

In each member account, create IAM roles that have permissions to create and manage resources. In the management account, create an AWS CloudFormation stack set that has self-managed permissions to deploy the required IAM roles and policies to all accounts. Enable automatic deployment for the stack set.

D.

In the management account, create an AWS CodePipeline pipeline. Configure the pipeline to use AWS CloudFormation to automate the deployment of the required IAM roles and policies. Set up cross-account IAM roles to allow CodePipeline to deploy resources in the member accounts.

Questions 120

A company uses an organization in AWS Organizations to manage multiple AWS accounts. The company needs a solution to detect sensitive information in Amazon S3 buckets in all the company’s accounts. When the solution detects sensitive data, the solution must collect all the findings and make them available to the company’s security officer in a single location. The solution must move S3 objects that contain sensitive information to a quarantine S3 bucket.

Which solutions will meet these requirements with the LEAST operational overhead? (Select TWO.)

Options:
A.

Enable AWS Security Hub in the organization. Enable Amazon Macie for all the accounts in the organization. Configure Macie to send findings to Security Hub.

B.

Create an AWS Service Catalog product to provision S3 buckets. Configure Service Catalog to create a new S3 bucket. Configure S3 Event Notifications to send ObjectCreated events to an Amazon Simple Queue Service (Amazon SQS) queue.

C.

Create an AWS Lambda function to copy S3 objects from S3 buckets to a dedicated quarantine bucket. Configure the Lambda function to delete copied objects from the original buckets. Configure an Amazon EventBridge rule to invoke the Lambda function in response to sensitive information findings from Amazon Macie.

D.

Configure an AWS Lambda function to run when new objects are created or when existing objects are updated. Configure the Lambda function to determine whether objects contain sensitive data. Configure the function to move objects that contain sensitive data to a quarantine bucket and to delete the original objects.

E.

Configure SCPs to prevent the creation of S3 buckets and objects that contain suspected sensitive data. Configure the SCPs to move objects that are suspected to contain sensitive data to a dedicated quarantine S3 bucket.

Exam Code: DOP-C02
Certification Provider: Amazon Web Services
Exam Name: AWS Certified DevOps Engineer - Professional
Last Update: Apr 15, 2026
Questions: 425

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