DOP-C02 Certification Questions - DOP-C02 Reliable Test Cram

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Amazon DOP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Monitoring and Logging	15%	- Observability and metrics 1. Log aggregation and analysis 2. CloudWatch monitoring and alarms
Topic 2: Configuration Management and Infrastructure as Code	17%	- Infrastructure provisioning and automation 1. AWS CloudFormation and CDK usage 2. Configuration tools and automation strategies
Topic 3: Incident and Event Management	18%	- Operational response and recovery 1. Incident detection and remediation 2. Automated event-driven responses
Topic 4: SDLC Automation	22%	- CI/CD pipeline design and implementation 1. Pipeline optimization and scaling 2. Build and deployment automation
Topic 5: Security and Compliance Automation	13%	- Security automation in CI/CD and infrastructure 1. IAM policy automation and governance 2. Compliance monitoring and auditing
Topic 6: Resilient Cloud Solutions	15%	- High availability and fault tolerance design 1. Multi-AZ and multi-region architectures 2. Disaster recovery strategies

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DOP-C02 Reliable Test Cram - DOP-C02 Exam Questions Pdf

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q356-Q361):

NEW QUESTION # 356
A company is adopting AWS CodeDeploy to automate its application deployments for a Java-Apache Tomcat application with an Apache Webserver. The development team started with a proof of concept, created a deployment group for a developer environment, and performed functional tests within the application. After completion, the team will create additional deployment groups for staging and production.
The current log level is configured within the Apache settings, but the team wants to change this configuration dynamically when the deployment occurs, so that they can set different log level configurations depending on the deployment group without having a different application revision for each group.
How can these requirements be met with the LEAST management overhead and without requiring different script versions for each deployment group?

A. Tag the Amazon EC2 instances depending on the deployment group. Then place a script into the application revision that calls the metadata service and the EC2 API to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference the script as part of the AfterInstall lifecycle hook in the appspec.yml file.
B. Create a script that uses the CodeDeploy environment variable DEPLOYMENT_GROUP_ NAME to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference this script as part of the BeforeInstall lifecycle hook in the appspec.yml file.
C. Create a script that uses the CodeDeploy environment variable DEPLOYMENT_GROUP_ID to identify which deployment group the instance is part of to configure the log level settings. Reference this script as part of the Install lifecycle hook in the appspec.yml file.
D. Create a CodeDeploy custom environment variable for each environment. Then place a script into the application revision that checks this environment variable to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference this script as part of the ValidateService lifecycle hook in the appspec.yml file.

Answer: B

NEW QUESTION # 357
A company has deployed an application in a production VPC in a single AWS account. The application is popular and is experiencing heavy usage. The company's security team wants to add additional security, such as AWS WAF, to the application deployment. However, the application's product manager is concerned about cost and does not want to approve the change unless the security team can prove that additional security is necessary.
The security team believes that some of the application's demand might come from users that have IP addresses that are on a deny list. The security team provides the deny list to a DevOps engineer. If any of the IP addresses on the deny list access the application, the security team wants to receive automated notification in near real time so that the security team can document that the application needs additional security. The DevOps engineer creates a VPC flow log for the production VPC.
Which set of additional steps should the DevOps engineer take to meet these requirements MOST cost-effectively?

A. Create an Amazon S3 bucket for log files. Configure the VPC flow log to capture accepted traffic and to send the data to the S3 bucket. Configure an Amazon OpenSearch Service cluster and domain for the log files. Create an AWS Lambda function to retrieve the logs from the S3 bucket, format the logs, and load the logs into the OpenSearch Service cluster. Schedule the Lambda function to run every 5 minutes. Configure an alert and condition in OpenSearch Service to send alerts to the security team through an Amazon Simple Notification Service (Amazon SNS) topic when access from the IP addresses on the deny list is detected.
B. Create a log group in Amazon CloudWatch Logs. Configure the VPC flow log to capture accepted traffic and to send the data to the log group. Create an Amazon CloudWatch metric filter for IP addresses on the deny list. Create a CloudWatch alarm with the metric filter as input. Set the period to 5 minutes and the datapoints to alarm to 1. Use an Amazon Simple Notification Service (Amazon SNS) topic to send alarm notices to the security team.
C. Create a log group in Amazon CloudWatch Logs. Create an Amazon S3 bucket to hold query results. Configure the VPC flow log to capture all traffic and to send the data to the log group. Deploy an Amazon Athena CloudWatch connector in AWS Lambda. Connect the connector to the log group. Configure Athena to periodically query for all accepted traffic from the IP addresses on the deny list and to store the results in the S3 bucket. Configure an S3 event notification to automatically notify the security team through an Amazon Simple Notification Service (Amazon SNS) topic when new objects are added to the S3 bucket.
D. Create an Amazon S3 bucket for log files. Configure the VPC flow log to capture all traffic and to send the data to the S3 bucket. Configure Amazon Athena to return all log files in the S3 bucket for IP addresses on the deny list. Configure Amazon QuickSight to accept data from Athena and to publish the data as a dashboard that the security team can access. Create a threshold alert of 1 for successful access. Configure the alert to automatically notify the security team as frequently as possible when the alert threshold is met.

Answer: B

NEW QUESTION # 358
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?

A. Increase the concurrent batches per shard
B. Increase the retry attempts
C. Decrease the maximum age of record
D. Configure the setting to split the batch when an error occurs

Answer: D

Explanation:
Explanation
This solution will meet the requirements because it will reduce the number of errorless records that are sent to the dead-letter queue. When you configure the setting to split the batch when an error occurs, Lambda will retry only the records that caused the error, instead of retrying the entire batch. This way, the records that have no data errors and have already been processed by the legacy REST API will not be retried and sent to the dead-letter queue unnecessarily.
https://docs.aws.amazon.com/lambda/latest/dg/with-kinesis.html

NEW QUESTION # 359
A DevOps engineer uses AWS Control Tower to deploy multiple AWS accounts to support business, technical, and administrative units in a company. A security team needs the DevOps engineer to automate AWS Control Tower guardrails for the company. The guardrails must be applied to all accounts in an OU of the company's organization in AWS Organizations.
The security team needs a solution that has version control features. The security team must be able to review and roll back versions when necessary. The security team will manage the solution in the security team's OU. The security team wants to specify the types of guardrails that are allowed. The security team wants to allow only new guardrails that the security team approves.
Which solution will meet these requirements with the MOST operational efficiency?

A. Create an individual AWS CloudFormation template for each required guardrail. Store the templates in an AWS CodeConnections compatible Git repository. Create an AWS::ControlTower::EnableControl logical resource in the template for each account in the organization. Configure a pipeline in AWS CodePipeline in the security team's account. Ensure that the security team manually invokes the pipeline and specifies the guardrail parameters when the security team starts each deployment.
B. Create a pipeline in AWS CodePipeline in the security team's account. Add an Amazon EventBridge rule to the pipeline that matches on PutObject events to an Amazon S3 bucket. Create an individual AWS CloudFormation template for each required guardrail. Store the templates in the S3 bucket. Create an AWS::ControlTower::EnableControl logical resource in the template for each OU in the organization.
C. Create an AWS CloudFormation template for each required guardrail. Store the templates in an AWS CodeConnections compatible Git repository. Create an AWS::ControlTower::EnableControl logical resource in the template for each OU in the organization. Configure an AWS CodeBuild project that clones the Git repository and applies the template.
D. Create an individual AWS CloudFormation template for required guardrail. Store the templates in an AWS CodeConnections compatible Git repository. Create an AWS::ControlTower::EnableControl logical resource in the template for each OU in the organization. Configure a pipeline in AWS CodePipeline in the security team's account. Configure an Amazon EventBridge rule to initiate the pipeline in response to merges to the security team's Git repository.

Answer: D

Explanation:
The security team's requirements emphasize governance, approval control, versioning, and automation with minimal operational overhead. AWS Control Tower natively supports guardrail enablement through the AWS::ControlTower::EnableControl CloudFormation resource, which can target entire organizational units. Managing these resources as CloudFormation templates stored in a Git repository provides built-in version control, change review, and rollback capabilities through standard Git workflows.
Option C implements a GitOps-style approach. Each guardrail is defined declaratively in CloudFormation, scoped at the OU level, ensuring consistent enforcement across all accounts in that OU. Storing the templates in a CodeConnections-compatible Git repository allows the security team to review, approve, and audit changes through pull requests. By configuring AWS CodePipeline in the security team's account and triggering it automatically via an Amazon EventBridge rule on repository merges, only approved changes are deployed. This ensures that new guardrails are enabled only after explicit approval and that the deployment process is fully automated.
Option A lacks pipeline orchestration and approval workflows. Option B requires manual pipeline invocation and per-account configuration, increasing operational overhead. Option D relies on S3 as the source of truth, which lacks native version control and approval mechanisms compared to Git.
Therefore, Option C provides the most operationally efficient, secure, and auditable solution aligned with AWS Control Tower automation best practices.

NEW QUESTION # 360
A company that runs many workloads on AWS has an Amazon EBS spend that has increased over time. The DevOps team notices there are many unattached EBS volumes. Although there are workloads where volumes are detached, volumes over 14 days old are stale and no longer needed. A DevOps engineer has been tasked with creating automation that deletes unattached EBS volumes that have been unattached for 14 days.
Which solution will accomplish this?

A. Configure the AWS Config ec2-volume-inuse-check managed rule with a configuration changes trigger type and an Amazon EC2 volume resource target. Create a new Amazon CloudWatch Events rule scheduled to execute an AWS Lambda function in 14 days to delete the specified EBS volume.
B. Use Amazon EC2 and Amazon Data Lifecycle Manager to configure a volume lifecycle policy. Set the interval period for unattached EBS volumes to 14 days and set the retention rule to delete. Set the policy target volumes as *.
C. Create an Amazon CloudWatch Events rule to execute an AWS Lambda function daily. The Lambda function should find unattached EBS volumes and tag them with the current date, and delete unattached volumes that have tags with dates that are more than 14 days old.
D. Use AWS Trusted Advisor to detect EBS volumes that have been detached for more than 14 days. Execute an AWS Lambda function that creates a snapshot and then deletes the EBS volume.

Answer: C

Explanation:
The requirement is to create automation that deletes unattached EBS volumes that have been unattached for 14 days. To do this, the DevOps engineer needs to use the following steps:
Create an Amazon CloudWatch Events rule to execute an AWS Lambda function daily. CloudWatch Events is a service that enables event-driven architectures by delivering events from various sources to targets. Lambda is a service that lets you run code without provisioning or managing servers. By creating a CloudWatch Events rule that executes a Lambda function daily, the DevOps engineer can schedule a recurring task to check and delete unattached EBS volumes.
The Lambda function should find unattached EBS volumes and tag them with the current date, and delete unattached volumes that have tags with dates that are more than 14 days old. The Lambda function can use the EC2 API to list and filter unattached EBS volumes based on their state and tags. The function can then tag each unattached volume with the current date using the create-tags command. The function can also compare the tag value with the current date and delete any unattached volume that has been tagged more than 14 days ago using the delete-volume command.

NEW QUESTION # 361
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