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Amazon Web Services DOP-C02 Exam Questions

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Description

Exam Name: AWS Certified DevOps Engineer – Professional Exam
Exam Code: DOP-C02
Related Certification(s): Amazon Professional Certification
Certification Provider: Amazon
Actual Exam Duration: 180 Minutes
Number of DOP-C02 practice questions in our database: 250 (updated: Jan. 10, 2025)

Expected DOP-C02 Exam Topics, as suggested by Amazon :

  • Module 1: SDLC Automation: In this topic, AWS DevOps Engineers delve into implementing CI/CD pipelines, enabling seamless code integration and delivery. This includes integrating automated testing into pipelines to ensure robust application quality. Additionally, engineers build and manage artifacts for efficient version control and deploy strategies tailored for instance-based, containerized, and serverless environments.
  • Module 2: Configuration Management and IaC: This topic equips AWS DevOps Engineers to define cloud infrastructure and reusable components for provisioning and managing systems throughout their lifecycle. Engineers learn to deploy automation for onboarding and securing AWS accounts across multi-account and multi-region environments.
  • Module 3: Resilient Cloud Solutions: AWS DevOps Engineers explore techniques to implement highly available solutions that meet resilience and business continuity requirements. Scalable solutions to align with dynamic business needs are also addressed. Automated recovery processes are emphasized to meet recovery time and point objectives (RTO/RPO). These skills are pivotal for demonstrating cloud resilience expertise in the certification exam.
  • Module 4: Monitoring and Logging: This topic focuses on configuring the collection, aggregation, and storage of logs and metrics, enabling AWS DevOps Engineers to monitor system health. Key skills include auditing, monitoring, and analyzing data to detect issues and automating monitoring processes for complex environments.
  • Module 5: Incident and Event Response: Aspiring AWS DevOps Engineers learn to manage event sources effectively, enabling appropriate actions in response to events. This involves implementing configuration changes and troubleshooting system and application failures. The topic underscores the importance of swift and precise incident management, a critical area assessed in the DOP-C02 exam.
  • Module 6: Security and Compliance: This topic equips AWS DevOps Engineers with advanced techniques for identity and access management at scale. Engineers also apply automation for enforcing security controls and protecting sensitive data. Security monitoring and auditing solutions are emphasized, ensuring compliance and proactive threat mitigation.

Description

Exam Name: AWS Certified DevOps Engineer – Professional Exam
Exam Code: DOP-C02
Related Certification(s): Amazon Professional Certification
Certification Provider: Amazon
Actual Exam Duration: 180 Minutes
Number of DOP-C02 practice questions in our database: 250 (updated: Jan. 10, 2025)

Expected DOP-C02 Exam Topics, as suggested by Amazon :

  • Module 1: SDLC Automation: In this topic, AWS DevOps Engineers delve into implementing CI/CD pipelines, enabling seamless code integration and delivery. This includes integrating automated testing into pipelines to ensure robust application quality. Additionally, engineers build and manage artifacts for efficient version control and deploy strategies tailored for instance-based, containerized, and serverless environments.
  • Module 2: Configuration Management and IaC: This topic equips AWS DevOps Engineers to define cloud infrastructure and reusable components for provisioning and managing systems throughout their lifecycle. Engineers learn to deploy automation for onboarding and securing AWS accounts across multi-account and multi-region environments.
  • Module 3: Resilient Cloud Solutions: AWS DevOps Engineers explore techniques to implement highly available solutions that meet resilience and business continuity requirements. Scalable solutions to align with dynamic business needs are also addressed. Automated recovery processes are emphasized to meet recovery time and point objectives (RTO/RPO). These skills are pivotal for demonstrating cloud resilience expertise in the certification exam.
  • Module 4: Monitoring and Logging: This topic focuses on configuring the collection, aggregation, and storage of logs and metrics, enabling AWS DevOps Engineers to monitor system health. Key skills include auditing, monitoring, and analyzing data to detect issues and automating monitoring processes for complex environments.
  • Module 5: Incident and Event Response: Aspiring AWS DevOps Engineers learn to manage event sources effectively, enabling appropriate actions in response to events. This involves implementing configuration changes and troubleshooting system and application failures. The topic underscores the importance of swift and precise incident management, a critical area assessed in the DOP-C02 exam.
  • Module 6: Security and Compliance: This topic equips AWS DevOps Engineers with advanced techniques for identity and access management at scale. Engineers also apply automation for enforcing security controls and protecting sensitive data. Security monitoring and auditing solutions are emphasized, ensuring compliance and proactive threat mitigation.

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Q1. A DevOps engineer is setting up an Amazon Elastic Container Service (Amazon ECS) blue/green deployment for an application by using AWS CodeDeploy and AWS CloudFormation. During the deployment window, the application must be highly available and CodeDeploy must shift 10% of traffic to a new version of the application every minute until all traffic is shifted. Which configuration should the DevOps engineer add in the CloudFormation template to meet these requirements?

A.Add an AppSpec file with the CodeDeployDefault.ECSLineaMOPercentEverylMinutes deployment configuration.

B. Add the AWS::CodeDeployBlueGreen transform and the AWS::CodeDeploy::BlueGreen hook parameter with the CodeDeployDefault.ECSLinear10PercentEvery1 Minutes deployment configuration.

C. Add an AppSpec file with the ECSCanary10Percent5Minutes deployment configuration.

D. Add the AWS::CodeDeployBlueGroen transform and the AWS::CodeDeploy::BlueGreen hook parameter with the ECSCanary10Percent5Minutes deployment configuration. Step 1: Using AWS CloudFormation with ECS Blue/Green Deployments The requirement is to implement an ECS blue/green deployment where traffic is shifted gradually. AWS CodeDeploy supports such blue/green deployments with predefined configurations, like ECSLinear10PercentEvery1Minute, which shifts 10% of traffic every minute. Action: Use the AWS::CodeDeployBlueGreen transform and the appropriate hooks in the CloudFormation template. The ECSLinear10PercentEvery1Minute deployment configuration meets the requirement of shifting 10% of traffic every minute. Why: The transform and hook parameters in Cloud Formation are essential for configuring the blue/green deployment with the desired traffic-shifting behavior.

Correct Answer: B

Q2. A company uses AWS WAF to protect its cloud infrastructure. A DevOps engineer needs to give an operations team the ability to analyze log messages from AWS WAR. The operations team needs to be able to create alarms for specific patterns in the log output. Which solution will meet these requirements with the LEAST operational overhead?

A.Create an Amazon CloudWatch Logs log group. Configure the appropriate AWS WAF web ACL to send log messages to the log group. Instruct the operations team to create CloudWatch metric filters.

B. Create an Amazon OpenSearch Service cluster and appropriate indexes. Configure an Amazon Kinesis Data Firehose delivery stream to stream log data to the indexes. Use OpenSearch Dashboards to create filters and widgets.

C. Create an Amazon S3 bucket for the log output. Configure AWS WAF to send log outputs to the S3 bucket. Instruct the operations team to create AWS Lambda functions that detect each desired log message pattern. Configure the Lambda functions to publish to an Amazon Simple Notification Service (Amazon SNS) topic.

D. Create an Amazon S3 bucket for the log output. Configure AWS WAF to send log outputs to the S3 bucket. Use Amazon Athena to create an external table definition that fits the log message pattern. Instruct the operations team to write SOL queries and to create Amazon CloudWatch metric filters for the Athena queries. Step 1: Sending AWS WAF Logs to CloudWatch Logs AWS WAF allows you to log requests that are evaluated against your web ACLs. These logs can be sent directly to CloudWatch Logs, which enables real-time monitoring and analysis. Action: Configure the AWS WAF web ACL to send log messages to a CloudWatch Logs log group. Why: This allows the operations team to view the logs in real time and analyze patterns using Cloud Watch metric filters.

Correct Answer: A

Q3. A software team is using AWS CodePipeline to automate its Java application release pipeline The pipeline consists of a source stage, then a build stage, and then a deploy stage. Each stage contains a single action that has a runOrder value of 1. The team wants to integrate unit tests into the existing release pipeline. The team needs a solution that deploys only the code changes that pass all unit tests. Which solution will meet these requirements?

A.Modify the build stage. Add a test action that has a runOrder value of 1. Use AWS CodeDeploy as the action provider to run unit tests.

B. Modify the build stage Add a test action that has a runOrder value of 2 Use AWS CodeBuild as the action provider to run unit tests

C. Modify the deploy stage Add a test action that has a runOrder value of 1 Use AWS CodeDeploy as the action provider to run unit tests

D. Modify the deploy stage Add a test action that has a runOrder value of 2 Use AWS CodeBuild as the action provider to run unit tests

Correct Answer: B

Q4. A company has configured Amazon RDS storage autoscaling for its RDS DB instances. A DevOps team needs to visualize the autoscaling events on an Amazon CloudWatch dashboard. Which solution will meet this requirement?

A.Create an Amazon EventBridge rule that reacts to RDS storage autoscaling events from RDS events. Create an AWS Lambda function that publishes a CloudWatch custom metric. Configure the EventBridge rule to invoke the Lambda function. Visualize the custom metric by using the CloudWatch dashboard.

B. Create a trail by using AWS CloudTrail with management events configured. Configure the trail to send the management events to Amazon CloudWatch Logs. Create a metric filter in CloudWatch Logs to match the RDS storage autoscaling events. Visualize the metric filter by using the CloudWatch dashboard.

C. Create an Amazon EventBridge rule that reacts to RDS storage autoscaling events (rom the RDS events. Create a CloudWatch alarm. Configure the EventBridge rule to change the status of the CloudWatch alarm. Visualize the alarm status by using the CloudWatch dashboard.

D. Create a trail by using AWS CloudTrail with data events configured. Configure the trail to send the data events to Amazon CloudWatch Logs. Create a metric filter in CloudWatch Logs to match the RDS storage autoscaling events. Visualize the metric filter by using the CloudWatch dashboard. Step 1: Reacting to RDS Storage Autoscaling Events Using Amazon EventBridge Amazon RDS emits events when storage autoscaling occurs. To visualize these events in a CloudWatch dashboard, you can create an EventBridge rule that listens for these specific autoscaling events. Action: Create an EventBridge rule that reacts to RDS storage autoscaling events from the RDS event stream. Why: EventBridge allows you to listen to RDS events and route them to specific AWS services for processing. Step 2: Creating a Custom CloudWatch Metric via Lambda Once the EventBridge rule detects a storage autoscaling event, you can use a Lambda function to publish a custom metric to CloudWatch. This metric can then be visualized in a CloudWatch dashboard. Action: Use a Lambda function to publish custom metrics to CloudWatch based on the RDS storage autoscaling events. Why: Custom metrics allow you to track specific events like autoscaling and visualize them easily on a CloudWatch dashboard.

Correct Answer: A

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