Free Amazon Web Services DOP-C02 Practice Exam with Questions & Answers | Set: 2

Name: How to Pass DOP-C02 Exams
Brand: Examstrack
SKU: dop-c02
Price: 31.5 USD
Availability: InStock

Questions 11

A company requires that its internally facing web application be highly available. The architecture is made up of one Amazon EC2 web server instance and one NAT instance that provides outbound internet access for updates and accessing public data.

Which combination of architecture adjustments should the company implement to achieve high availability? (Choose two.)

Options:

Add the NAT instance to an EC2 Auto Scaling group that spans multiple Availability Zones. Update the route tables.

Create additional EC2 instances spanning multiple Availability Zones. Add an Application Load Balancer to split the load between them.

Configure an Application Load Balancer in front of the EC2 instance. Configure Amazon CloudWatch alarms to recover the EC2 instance upon host failure.

Replace the NAT instance with a NAT gateway in each Availability Zone. Update the route tables.

Replace the NAT instance with a NAT gateway that spans multiple Availability Zones. Update the route tables.

Amazon Web Services DOP-C02 Premium Access

Kelvin

25-Jun-2026

Success was guaranteed with examstrack.com's help. I aced my DOP-C02 exam with flying colors.

Hannah

07-Jun-2026

While preparing for DOP-C02, the exam questions and answers helped me understand things in a practical way.

Questions 12

A company manages environments for its application in multiple AWS accounts. Each environment account is in a different OU in AWS Organizations.

A DevOps team is responsible for the application deployment process across the environments. The deployment process uses an AWS CodePipeline pipeline in a Shared Services account. The DevOps team members are in the same user group. The team members have administrative access to all accounts through AWS IAM Identity Center.

A recent deployment problem in the development environment required the DevOps team to perform manual steps. The deployment to the production environment then resulted in an incident that caused the pipeline to fail, blocking new deployments for several hours.

A DevOps engineer needs to ensure that only the pipeline can perform deployments in the production environment. The DevOps engineer must have access to the environment in case of an emergency.

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

Options:

Update the DevOps group to have the ReadOnlyAccess permission set for the production accounts. Configure the DevOps engineer user with a new permission set that has AdministratorAccess permissions and that allows the user to assume the pipeline role. Add an SCP that denies modification of resources by any entity other than the pipeline role.

Create an SCP that denies all write actions for the DevOps team members on the production OU. Configure a new user in IAM Identity Center for the DevOps engineer with a new permission set that has AdministratorAccess permissions. Add an SCP that denies modification of resources by any entity other than the pipeline role.

Update the DevOps group to be able to assume the pipeline role for the production accounts. Configure a new user in IAM Identity Center for the DevOps engineer with a new permission set that has AdministratorAccess permissions. Add an SCP that denies modification of resources by any entity other than the DevOps engineer.

Create an SCP that denies all write actions for the DevOps team members on the production OU. Use a specific tag to tag the resources that CodePipeline provisions. Add an SCP that denies modification of tagged resources by any entity other than the DevOps engineer.

Questions 13

A company uses AWS Directory Service for Microsoft Active Directory as its identity provider (IdP). The company requires all infrastructure to be

defined and deployed by AWS CloudFormation.

A DevOps engineer needs to create a fleet of Windows-based Amazon EC2 instances to host an application. The DevOps engineer has created a

CloudFormation template that contains an EC2 launch template, IAM role, EC2 security group, and EC2 Auto Scaling group. The DevOps engineer must implement a solution that joins all EC2 instances to the domain of the AWS Managed Microsoft AD directory.

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

Options:

In the CloudFormation template, create an AWS::SSM::Document resource that joins the EC2 instance to the AWS Managed Microsoft AD domain by using the parameters for the existing directory. Update the launch template to include the SSMAssociation property to use the new SSM document. Attach the AmazonSSMManagedlnstanceCore and AmazonSSMDirectoryServiceAccess AWS managed policies to the IAM role that the EC2 instances use.

In the CloudFormation template, update the launch template to include specific tags that propagate on launch. Create an AWS::SSM::Association resource to associate the AWS-JoinDirectoryServiceDomain Automation runbook with the EC2 instances that have the specified tags. Define the required parameters to join the AWS Managed Microsoft AD directory. Attach the AmazonSSMManagedlnstanceCore and AmazonSSMDirectoryServiceAccess AWS managed polici

Store the existing AWS Managed Microsoft AD domain connection details in AWS Secrets Manager. In the CloudFormation template, create an AWS::SSM::Association resource to associate the AWS-CreateManagedWindowslnstanceWithApproval Automation runbook with the EC2 Auto Scaling group. Pass the ARNs for the parameters from Secrets Manager to join the domain. Attach the AmazonSSMDirectoryServiceAccess and SecretsManagerReadWrite AWS managed polici

Store the existing AWS Managed Microsoft AD domain administrator credentials in AWS Secrets Manager. In the CloudFormation template, update the EC2 launch template to include user data. Configure the user data to pull the administrator credentials from Secrets Manager and to join the AWS Managed Microsoft AD domain. Attach the AmazonSSMManagedlnstanceCore and SecretsManagerReadWrite AWS managed policies to the IAM role that the EC2 instance

Questions 14

A company detects unusual login attempts in many of its AWS accounts. A DevOps engineer must implement a solution that sends a notification to the company ' s security team when multiple failed login attempts occur. The DevOps engineer has already created an Amazon Simple Notification Service (Amazon SNS) topic and has subscribed the security team to the SNS topic.

Which solution will provide the notification with the LEAST operational effort?

Options:

Configure AWS CloudTrail to send log management events to an Amazon CloudWatch Logs log group. Create a CloudWatch Logs metric filter to match failed ConsoleLogin events. Create a CloudWatch alarm that is based on the metric filter. Configure an alarm action to send messages to the SNS topic.

Configure AWS CloudTrail to send log management events to an Amazon S3 bucket. Create an Amazon Athena query that returns a failure if the query finds failed logins in the logs in the S3 bucket. Create an Amazon EventBridge rule to periodically run the query. Create a second EventBridge rule to detect when the query fails and to send a message to the SNS topic.

Configure AWS CloudTrail to send log data events to an Amazon CloudWatch Logs log group. Create a CloudWatch logs metric filter to match failed Consolel_ogin events. Create a CloudWatch alarm that is based on the metric filter. Configure an alarm action to send messages to the SNS topic.

Configure AWS CloudTrail to send log data events to an Amazon S3 bucket. Configure an Amazon S3 event notification for the s3:ObjectCreated event type. Filter the event type by ConsoleLogin failed events. Configure the event notification to forward to the SNS topic.

Answer:

Explanation:

The correct answer is C. Configuring AWS CloudTrail to send log data events to an Amazon CloudWatch Logs log group and creating a CloudWatch logs metric filter to match failed ConsoleLogin events is the simplest and most efficient way to monitor and alert on failed login attempts. Creating a CloudWatch alarm that is based on the metric filter and configuring an alarm action to send messages to the SNS topic will ensure that the security team is notified when multiple failed login attempts occur. This solution requires the least operational effort compared to the other options.

Option A is incorrect because it involves configuring AWS CloudTrail to send log management events instead of log data events. Log management events are used to track changes to CloudTrail configuration, such as creating, updating, or deleting a trail. Log data events are used to track API activity in AWS accounts, such as login attempts. Therefore, option A will not capture the failed ConsoleLogin events.

Option B is incorrect because it involves creating an Amazon Athena query and two Amazon EventBridge rules to monitor and alert on failed login attempts. This is a more complex and costly solution than using CloudWatch logs and alarms. Moreover, option B relies on the query returning a failure, which may not happen if the query is executed successfully but does not find any failed logins.

Option D is incorrect because it involves configuring AWS CloudTrail to send log data events to an Amazon S3 bucket and configuring an Amazon S3 event notification for the s3:ObjectCreated event type. This solution will not work because the s3:ObjectCreated event type does not allow filtering by ConsoleLogin failed events. The event notification will be triggered for any object created in the S3 bucket, regardless of the event type. Therefore, option D will generate a lot of false positives and unnecessary notifications.

AWS CloudTrail Log File Examples

Creating CloudWatch Alarms for CloudTrail Events: Examples

Monitoring CloudTrail Log Files with Amazon CloudWatch Logs

Questions 15

A DevOps team uses AWS CodePipeline, AWS CodeBuild, and AWS CodeDeploy to deploy an application. The application is a REST API that uses AWS Lambda functions and Amazon API Gateway Recent deployments have introduced errors that have affected many customers.

The DevOps team needs a solution that reverts to the most recent stable version of the application when an error is detected. The solution must affect the fewest customers possible.

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

Options:

Set the deployment configuration in CodeDepIoy to LambdaAlIAtOnce Configure automatic rollbacks on the deployment group Create an Amazon CloudWatch alarm that detects HTTP Bad Gateway errors on API Gateway Configure the deployment group to roll back when the number of alarms meets the alarm threshold

Set the deployment configuration in CodeDeploy to LambdaCanary10Percent10Minutes. Configure automatic rollbacks on the deployment group Create an Amazon CloudWatch alarm that detects HTTP Bad Gateway errors on API Gateway Configure the deployment group to roll back when the number of alarms meets the alarm threshold

Set the deployment configuration in CodeDeploy to LambdaAllAtOnce Configure manual rollbacks on the deployment group. Create an Amazon Simple Notification Service (Amazon SNS) topc to send notifications every time a deployrnent fads. Configure the SNS topc to Invoke a new Lambda function that stops the current deployment and starts the most recent successful deployment

Set the deployment configuration in CodeDeploy to LambdaCanaryIOPercentIOMinutes Configure manual rollbacks on the deployment group Create a metric filter on an Amazon CloudWatch log group for API Gateway to monitor HTTP Bad Gateway errors. Configure the metric filter to Invoke a new Lambda function that stops the current eployment and starts the most recent successful deployment

Answer:

Explanation:

Option A is incorrect because setting the deployment configuration to LambdaAllAtOnce means that the new version of the application will be deployed to all Lambda functions at once, affecting all customers. This does not meet the requirement of affecting the fewest customers possible. Moreover, configuring automatic rollbacks on the deployment group is not operationally efficient, as it requires manual intervention to fix the errors and redeploy the application.

Option B is correct because setting the deployment configuration to LambdaCanary10Percent10Minutes means that the new version of the application will be deployed to 10 percent of the Lambda functions first, and then to the remaining 90 percent after 10 minutes. This minimizes the impact of errors on customers, as only 10 percent of them will be affected by a faulty deployment. Configuring automatic rollbacks on the deployment group also meets the requirement of reverting to the most recent stable version of the application when an error is detected. Creating a CloudWatch alarm that detects HTTP Bad Gateway errors on API Gateway is a valid way to monitor the health of the application and trigger a rollback if needed.

Option C is incorrect because setting the deployment configuration to LambdaAllAtOnce means that the new version of the application will be deployed to all Lambda functions at once, affecting all customers. This does not meet the requirement of affecting the fewest customers possible. Moreover, configuring manual rollbacks on the deployment group is not operationally efficient, as it requires human intervention to stop the current deployment and start a new one. Creating an SNS topic to send notifications every time a deployment fails is not sufficient to detect errors in the application, as it does not monitor the API Gateway responses.

Option D is incorrect because configuring manual rollbacks on the deployment group is not operationally efficient, as it requires human intervention to stop the current deployment and start a new one. Creating a metric filter on a CloudWatch log group for API Gateway to monitor HTTP Bad Gateway errors is a valid way to monitor the health of the application, but invoking a new Lambda function to perform a rollback is unnecessary and complex, as CodeDeploy already provides automatic rollback functionality.

[References:, AWS CodeDeploy Deployment Configurations, [AWS CodeDeploy Rollbacks], Amazon CloudWatch Alarms, , , , , , ]

Questions 16

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?

Options:

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.

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

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 r

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.

Questions 17

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?

Options:

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.

Questions 18

A company has a web application that runs on AWS. The web tier uses an Amazon Elastic Container Service (Amazon ECS) deployment with the Fargate launch type behind an Application Load Balancer (ALB) and Amazon Route 53. The application uses an Amazon Keyspaces (for Apache Cassandra) database. The company stores container images in Amazon Elastic Container Registry (Amazon ECR). New image versions are pushed regularly.

The company needs to implement a multi-Region recovery strategy with automatic failover to a secondary Region.

Which solution will meet these requirements?

Options:

Configure Amazon ECR private image replication to a new ECR private registry in the secondary Region. Configure Amazon Keyspaces point-in-time recovery to copy to the secondary Region. Create an ALB and a new Fargate service with the desired count set to 0 in the secondary Region. Create new Route 53 DNS records that use a weighted routing policy.

Configure Amazon ECR private image replication to a new ECR private registry in the secondary Region. Configure Amazon Keyspaces multi-Region replication to the secondary Region. Create an ALB and a new Fargate service with the desired count set to 1 in the secondary Region. Create new Route 53 DNS records that use a failover routing policy.

Copy the current Amazon ECR private images to a new ECR private registry in the secondary Region. Configure Amazon Keyspaces multi-Region replication to the secondary Region. Create an ALB and a new Fargate service with the desired count set to 1 in the secondary Region. Create new Route 53 DNS records that use a failover routing policy.

Configure Amazon ECR private image replication to a new ECR private registry in the secondary Region. Configure Amazon Keyspaces multi-Region replication to the secondary Region. Create an ALB and a new Fargate service with the desired count set to 0 in the secondary Region. Create new Route 53 DNS records that use a weighted routing policy.

Questions 19

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?

Options:

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.

Questions 20

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?

Options:

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.

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.

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.

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.

Exam Code: DOP-C02

Certification Provider: Amazon Web Services

Exam Name: AWS Certified DevOps Engineer - Professional

Last Update: Jul 6, 2026

Questions: 449

How to Pass DOP-C02 Exams

PDF + Testing Engine
~~$164.99~~ $49.5 Add to Cart

Testing Engine
~~$124.99~~ $37.5 Add to Cart

PDF (Q&A)
~~$104.99~~ $31.5 Add to Cart

Amazon Web Services Related Exams

How to pass Amazon Web Services SAP-C02 - AWS Certified Solutions Architect - Professional Exam

How to pass Amazon Web Services AIP-C01 - AWS Certified Generative AI Developer - Professional Exam

Data-Engineer-Associate - AWS Certified Data Engineer - Associate (DEA-C01)

DVA-C02 - AWS Certified Developer - Associate

AXS-C01 - AWS Certified Alexa Skill Builder-Specialty

AIF-C01 - AWS Certified AI Practitioner Exam

SOA-C03 - AWS Certified CloudOps Engineer - Associate

SOA-C01 - AWS Certified SysOps Administrator - Associate

MLA-C01 - AWS Certified Machine Learning Engineer - Associate

MLS-C01 - AWS Certified Machine Learning - Specialty

CLF-C02 - AWS Certified Cloud Practitioner

SCS-C03 - AWS Certified Security – Specialty

Get Amazon Web Services Full Access

Amazon Web Services Free Exams
Get free access to Amazon Web Services exam prep materials and practice tests at Examstrack. Achieve your Amazon Web Services certification goals by exploring Examstrack.

Summer Sale Limited Time 70% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: 70track

Navigation:

examstrack logo

Hot Vendors:

Free Amazon Web Services DOP-C02 Practice Exam with Questions & Answers | Set: 2

How to Pass DOP-C02 Exams

Amazon Web Services Related Exams

Amazon Web Services Free Exams