Amazon Web Services AWS Certified DevOps Engineer - Professional DOP-C02 Exam Dumps: Updated Questions & Answers (March 2026)

Question # 1

A DevOps team manages infrastructure for an application. The application uses long-running processes to process items from an Amazon Simple Queue Service (Amazon SQS) queue. The application is deployed to an Auto Scaling group.

The application recently experienced an issue where items were taking significantly longer to process. The queue exceeded the expected size, which prevented various business processes from functioning properly. The application records all logs to a third-party tool.

The team is currently subscribed to an Amazon Simple Notification Service (Amazon SNS) topic that the team uses for alerts. The team needs to be alerted if the queue exceeds the expected size.

Which solution will meet these requirements with the MOST operational efficiency?

Create an Amazon CloudWatch metric alarm with a period of 1 hour and a static threshold to alarm if the average of the ApproximateNumberOfMessagesDelayed metric is greater than the expected value. Configure the alarm to notify the SNS topic.

Create an Amazon CloudWatch metric alarm with a period of 1 hour and a static threshold to alarm if the sum of the ApproximateNumberOfMessagesVisible metric is greater than the expected value. Configure the alarm to notify the SNS topic.

Create an AWS Lambda function that retrieves the ApproximateNumberOfMessages SQS queue attribute value and publishes it as a new CloudWatch custom metric. Create an Amazon EventBridge rule that is scheduled to run every 5 minutes and that invokes the Lambda function. Configure a CloudWatch metrics alarm with a period of 1 hour and a static threshold to alarm if the sum of the new custom metric is greater than the expected value.

Create an AWS Lambda function that checks the ApproximateNumberOfMessagesDelayed SQS queue attribute and compares the value to a defined expected size in the function. Create an Amazon EventBridge rule that is scheduled to run every 5 minutes and that invokes the Lambda function. When the ApproximateNumberOfMessagesDelayed SQS queue attribute exceeds the expected size, send a notification the SNS topic.

Explanation:

The Amazon SQS service publishes several standard CloudWatch metrics by default, including ApproximateNumberOfMessagesVisible, which represents the number of messages available for retrieval from the queue (i.e., the number of messages waiting to be processed). This is the primary metric to monitor queue backlog and processing delays.

Using ApproximateNumberOfMessagesVisible to monitor the visible messages in the queue gives a direct and near real-time indication of processing delays or backlog.

CloudWatch metrics are automatically collected and available without the need to create custom metrics or Lambda functions, which increases operational efficiency by reducing complexity and maintenance overhead.

Setting a CloudWatch alarm on this metric with a static threshold and a reasonable evaluation period (such as 1 hour) is sufficient to alert the team when the queue grows beyond an expected size.

The alarm can be directly configured to send notifications to an existing SNS topic, maintaining seamless integration with the team’s alerting mechanisms.

The ApproximateNumberOfMessagesDelayed metric refers to messages that are delayed and not available for processing yet due to delay settings, which is not the direct backlog that causes business process delays.

Options C and D introduce unnecessary complexity by requiring Lambda functions and custom metrics or scheduled invocations, which reduce operational efficiency compared to using built-in CloudWatch metrics and alarms.

Reference from AWS Official Documentation and Study Guide:

Amazon SQS Monitoring with CloudWatch Metrics:"Amazon SQS automatically sends metrics to CloudWatch, including ApproximateNumberOfMessagesVisible, which shows the number of messages available for retrieval."(Source: Amazon SQS Monitoring - AWS Documentation)

Setting CloudWatch Alarms for SQS Queues:"You can create CloudWatch alarms on SQS metrics such as ApproximateNumberOfMessagesVisible to receive notifications when the queue size exceeds a threshold."(Source: Amazon CloudWatch Alarms - AWS Documentation)

AWS DevOps Engineer Professional Exam Guide:"Efficient alerting for queue backlogs should leverage native CloudWatch metrics to minimize operational overhead."(Source: Official AWS Certified DevOps Engineer Professional Study Guide)

Question # 2

A company uses Amazon Elastic Kubernetes Services (Amazon EKS) to host containerized applications that are available in Amazon Elastic Container Registry (Amazon ECR).

The company currently launches EKS clusters in the company's development environment by using the AWS CLI aws eks create-cluster command. The company uses the aws eks create-addon command to install required add-ons. All installed add-ons are currently version compatible with the version of Kubernetes that the company uses. All clusters exclusively use managed node groups for compute capacity.

Some of the EKS clusters require a version upgrade. A DevOps engineer must ensure that upgrades continuously occur within the AWS standard support schedule.

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

Run the aws eks update-cluster-version command, providing appropriate arguments such as cluster name and version number.

Enable EKS Auto Mode on all EKS clusters. Remove all existing managed node groups.

Run the eksctl command to upgrade the EKS clusters. Provide appropriate arguments such as cluster name and version number.

Refactor the environment to create EKS clusters by using infrastructure as code (IaC). Upgrade the clusters by using code changes.

Question # 3

A DevOps engineer updates an AWS CloudFormation stack to add a nested stack that includes several Amazon EC2 instances. When the DevOps engineer attempts to deploy the updated stack, the nested stack fails to deploy. What should the DevOps engineer do to determine the cause of the failure?

Use the CloudFormation detect root cause capability for the failed stack to analyze the failure and return the event that is the most likely cause for the failure.

Query failed stacks by specifying the root stack as the ParentId property. Examine the StackStatusReason property for all returned stacks to determine the reason the nested stack failed to deploy.

Activate AWS Systems Manager for the AWS account where the application runs. Use the AWS Systems Manager Automation AWSSupport-TroubleshootCFNCustomResource runbook to determine the reason the nested stack failed to deploy.

Configure the CloudFormation template to publish logs to Amazon CloudWatch. View the CloudFormation logs for the failed stack in the CloudWatch console to determine the reason the nested stack failed to deploy.

Question # 4

A company uses AWS and has a VPC that contains critical compute infrastructure with predictable traffic patterns. The company has configured VPC flow logs that are published to a log group in Amazon CloudWatch Logs.

The company's DevOps team needs to configure a monitoring solution for the VPC flow logs to identify anomalies in network traffic to the VPC over time. If the monitoring solution detects an anomaly, the company needs the ability to initiate a response to the anomaly.

How should the DevOps team configure the monitoring solution to meet these requirements?

Create an Amazon Kinesis data stream. Subscribe the log group to the data stream. Configure Amazon Kinesis Data Analytics to detect log anomalies in the data stream. Create anAWS Lambda function to use as the output of the data stream. Configure the Lambda function to write to the default Amazon EventBridge event bus in the event of an anomaly finding.

Create an Amazon Kinesis Data Firehose delivery stream that delivers events to an Amazon S3 bucket. Subscribe the log group to the delivery stream. Configure Amazon Lookout for Metrics to monitor the data in the S3 bucket for anomalies. Create an AWS Lambda function to run in response to Lookout for Metrics anomaly findings. Configure the Lambda function to publish to the default Amazon EventBridge event bus.

Create an AWS Lambda function to detect anomalies. Configure the Lambda function to publish an event to the default Amazon EventBridge event bus if the Lambda function detects an anomaly. Subscribe the Lambda function to the log group.

Create an Amazon Kinesis data stream. Subscribe the log group to the data stream. Create an AWS Lambda function to detect log anomalies. Configure the Lambda function to write to the default Amazon EventBridge event bus if the Lambda function detects an anomaly. Set the Lambda function as the processor for the data stream.

Question # 5

A company is migrating its product development teams from an on-premises data center to a hybrid environment. The new environment will add four AWS Regions and will give the developers the ability to use the Region that is geographically closest to them.

All the development teams use a shared set of Linux applications. The on-premises data center stores the applications on a NetApp ONTAP storage device. The storage volume is mounted read-only on the development on-premises VMs. The company updates the applications on the shared volume once a week.

A DevOps engineer needs to replicate the data to all the new Regions. The DevOps engineer must ensure that the data is always up to date with deduplication. The data also must not be dependent on the availability of the on-premises storage device.

Which solution will meet these requirements?

Create an Amazon S3 File Gateway in the on-premises data center. Create S3 buckets in each Region. Set up a cron job to copy the data from the storage device to the S3 File Gateway. Set up S3 Cross-Region Replication (CRR) to the S3 buckets in each Region.

Create an Amazon FSx File Gateway in one Region. Create file servers in Amazon FSx for Windows File Server in each Region. Set up a cron job to copy the data from the storage device to the FSx File Gateway.

Create Multi-AZ Amazon FSx for NetApp ONTAP instances and volumes in each Region. Configure a scheduled SnapMirror relationship between the on-premises storage device and the FSx for ONTAP instances.

Create an Amazon Elastic File System (Amazon EFS) file system in each Region. Deploy an AWS DataSync agent in the on-premises data center. Configure a schedule for DataSync to copy the data to Amazon EFS daily.

Question # 6

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?

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 # 7

A company uses AWS CodePipeline and AWS CodeDeploy to deploy application code to Amazon EC2 instances. The EC2 instances send application logs and CodeDeploy logs to Amazon CloudWatch.

Recently, the company manually rolled back a deployment because of application errors. The company wants to automate the rollback process when application errors occur.

Which solution will meet these requirements?

Create a CloudWatch metric based on the application logs. Create a CloudWatch alarm based on the metric that will activate when application errors occur. Change the deployment group settings to use the CloudWatch alarm configuration. Configure the deployment group to use an auto rollback configuration.

Configure a CloudWatch alarm that uses a custom metric for application errors that are recorded in the CodeDeploy agent logs. Configure the current deployment to use the CloudWatch alarm for its alarm configuration. Configure the deployment to use an auto rollback configuration.

Create an AWS Lambda function that will create a new deployment by using the last successful application deployment. Create an Amazon EventBridge rule that matches events from CodeDeploy that have a deployment status of FAILURE. Configure the EventBridge rule to target the Lambda function.

Create an AWS Lambda function that will create a new deployment group for the application deployment. Create a CloudWatch alarm based on metrics from the application logs. Configure the alarm to activate when an application error occurs on an EC2 instance. Configure the CloudWatch alarm to invoke the Lambda function.

Question # 8

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?

Register the ECS service as a scalable target in AWS Application Auto Scaling. Configure a target tracking scaling policy to scale the service in response to the queue size.

Increase the maximum number of messages that Amazon SQS requests to batch messages together. Use long polling to minimize the number of API calls to Amazon SQS during periods of low traffic.

Send messages to an Amazon EventBridge event bus instead of the SQS queue. Replace the ECS service with an EventBridge rule that launches ECS tasks in response to matching events.

Create an Auto Scaling group of EC2 instances. Create a capacity provider in the ECS cluster by using the Auto Scaling group. Change the ECS service to use the EC2 launch type.

Question # 9

A company has a mobile application that makes HTTP API calls to an Application Load Balancer (ALB). The ALB routes requests to an AWS Lambda function. Many different versions of the application are in use at any given time, including versions that are in testing by a subset of users. The version of the application is defined in the user-agent header that is sent with all requests to the API.

After a series of recent changes to the API, the company has observed issues with the application. The company needs to gather a metric for each API operation by response code for each version of the application that is in use. A DevOps engineer has modified the Lambda function to extract the API operation name, version information from the user-agent header and response code.

Which additional set of actions should the DevOps engineer take to gather the required metrics?

Modify the Lambda function to write the API operation name, response code, and version number as a log line to an Amazon CloudWatch Logs log group. Configure a CloudWatch Logs metric filter that increments a metric for each API operation name. Specify response code and application version as dimensions for the metric.

Modify the Lambda function to write the API operation name, response code, and version number as a log line to an Amazon CloudWatch Logs log group. Configure a CloudWatch Logs Insights query to populate CloudWatch metrics from the log lines. Specify response code and application version as dimensions for the metric.

Configure the ALB access logs to write to an Amazon CloudWatch Logs log group. Modify the Lambda function to respond to the ALB with the API operation name, response code, and version number as response metadata. Configure a CloudWatch Logs metric filter that increments a metric for each API operation name. Specify response code and application version as dimensions for the metric.

Configure AWS X-Ray integration on the Lambda function. Modify the Lambda function to create an X-Ray subsegment with the API operation name, response code, and version number. Configure X-Ray insights to extract an aggregated metric for each API operation name and to publish the metric to Amazon CloudWatch. Specify response code and application version as dimensions for the metric.

Question # 10

A company uses Amazon RDS for Microsoft SQL Server as its primary database. They need high availability within and across AWS Regions, with an RPO <1 min and RTO <10 min. Route 53 CNAME is used for the DB endpoint and must redirect to standby during failover.

Which solution meets these requirements?

Deploy an Amazon RDS for SQL Server Multi-AZ DB cluster with cross-Region read replicas. Use automation to promote replica and update Route 53.

Deploy RDS Multi-AZ with snapshots copied every 5 minutes; use Lambda to restore snapshot and update Route 53 on failover.

Deploy Single-AZ RDS and use AWS DMS to continuously replicate to another Region. Use CloudWatch alarms for failover notification.

Deploy Single-AZ RDS and use AWS Backup for cross-Region backups every 30 seconds. Use automation to restore and update Route 53 during failover.

Spring Special Sale - 70% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: best70

Amazon Web Services AWS Certified DevOps Engineer - Professional DOP-C02 Exam Dumps: Updated Questions & Answers (March 2026)

Answer:

Explanation:

Answer:

Explanation:

Answer:

Answer:

Explanation:

Answer:

Explanation:

Answer:

Answer:

Explanation:

Answer:

Explanation:

Answer:

Explanation:

Answer:

Explanation:

Most Popular Certification Exams

Site Map

Help

Payment

Contact us

Site Secure