Free Amazon Web Services DOP-C02 Practice Exam with Questions & Answers | Set: 4

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Questions 31

A DevOps engineer needs to apply a core set of security controls to an existing set of AWS accounts. The accounts are in an organization in AWS Organizations. Individual teams will administer individual accounts by using the AdministratorAccess AWS managed policy. For all accounts. AWS CloudTrail and AWS Config must be turned on in all available AWS Regions. Individual account administrators must not be able to edit or delete any of the baseline resources. However, individual account administrators must be able to edit or delete their own CloudTrail trails and AWS Config rules.

Which solution will meet these requirements in the MOST operationally efficient way?

Options:

Enable AWS Control Tower. Enroll the existing accounts in AWS Control Tower. Grant the individual account administrators access to CloudTrail and AWS Config.

Designate an AWS Config management account. Create AWS Config recorders in all accounts by using AWS CloudFormation StackSets. Deploy AWS Config rules to the organization by using the AWS Config management account. Create a CloudTrail organization trail in the organization’s management account. Deny modification or deletion of the AWS Config recorders by using an SCP.

Create an AWS CloudFormation template that defines the standard account resources. Deploy the template to all accounts from the organization's management account by using Cloud Formation StackSets Create an SCP that prevents updates or deletions to CloudTrail resources or AWS Config resources unless the principal is an administrator of the organization's management account.

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Questions 32

A company's application teams use AWS CodeCommit repositories for their applications. The application teams have repositories in multiple AWS

accounts. All accounts are in an organization in AWS Organizations.

Each application team uses AWS IAM Identity Center (AWS Single Sign-On) configured with an external IdP to assume a developer IAM role. The developer role allows the application teams to use Git to work with the code in the repositories.

A security audit reveals that the application teams can modify the main branch in any repository. A DevOps engineer must implement a solution that

allows the application teams to modify the main branch of only the repositories that they manage.

Which combination of steps will meet these requirements? (Select THREE.)

Options:

Update the SAML assertion to pass the user's team name. Update the IAM role's trust policy to add an access-team session tag that has the team name.

Create an approval rule template for each team in the Organizations management account. Associate the template with all the repositories. Add the developer role ARN as an approver.

Create an approval rule template for each account. Associate the template with all repositories. Add the "aws:ResourceTag/access-team":"$ ;{aws:PrincipaITag/access-team}" condition to the approval rule template.

For each CodeCommit repository, add an access-team tag that has the value set to the name of the associated team.

Attach an SCP to the accounts. Include the following statement: A computer code with text AI-generated content may be incorrect.

Create an IAM permissions boundary in each account. Include the following statement: A computer code with black text AI-generated content may be incorrect.

Answer:

A, D, F

Explanation:

Short Explanation: To meet the requirements, the DevOps engineer should update the SAML assertion to pass the user’s team name, update the IAM role’s trust policy to add an access-team session tag that has the team name, create an IAM permissions boundary in each account, and for each CodeCommit repository, add an access-team tag that has the value set to the name of the associated team.

Updating the SAML assertion to pass the user’s team name allows the DevOps engineer to use IAM tags to identify which team a user belongs to. This can help enforce fine-grained access control based on the user’s team membership1.

Updating the IAM role’s trust policy to add an access-team session tag that has the team name allows the DevOps engineer to use IAM condition keys to restrict access based on the session tag value2. For example, the DevOps engineer can use the aws:PrincipalTag condition key to match the access-team tag of the user with the access-team tag of the repository3.

Creating an IAM permissions boundary in each account allows the DevOps engineer to set the maximum permissions that an identity-based policy can grant to an IAM entity. An entity’s permissions boundary allows it to perform only the actions that are allowed by both its identity-based policies and its permissions boundaries4. For example, the DevOps engineer can use a permissions boundary policy to limit the actions that a user can perform on CodeCommit repositories based on their access-team tag5.

For each CodeCommit repository, adding an access-team tag that has the value set to the name of the associated team allows the DevOps engineer to use resource tags to identify which team manages a repository. This can help enforce fine-grained access control based on the resource tag value6.

The other options are incorrect because:

Creating an approval rule template for each team in the Organizations management account is not a valid option, as approval rule templates are not supported by AWS Organizations. Approval rule templates are specific to CodeCommit and can only be associated with one or more repositories in the same AWS Region where they are created7.

Creating an approval rule template for each account is not a valid option, as approval rule templates are not designed to restrict access to modify branches. Approval rule templates are designed to require approvals from specified users or groups before merging pull requests8.

Attaching an SCP to the accounts is not a valid option, as SCPs are not designed to restrict access based on tags. SCPs are designed to restrict access based on service actions and resources across all users and roles in an organization’s account9.

Questions 33

A DevOps team operates an integration service that runs on an Amazon EC2 instance. The DevOps team uses Amazon Route 53 to manage the integration service's domain name by using a simple routing record. The integration service is stateful and uses Amazon Elastic File System (Amazon EFS) for data storage and state storage. The integration service does not support load balancing between multiple nodes. The DevOps team deploys the integration service on a new EC2 instance as a warm standby to reduce the mean time to recovery. The DevOps team wants the integration service to automatically fail over to the standby EC2 instance. Which solution will meet these requirements?

Options:

Update the existing Route 53 DNS record's routing policy to weighted. Set the existing DNS record's weighting to 100. For the same domain, add a new DNS record that points to the standby EC2 instance. Set the new DNS record's weighting to 0. Associate an application health check with each record.

Update the existing Route 53 DNS record's routing policy to weighted. Set the existing DNS record's weighting to 99. For the same domain, add a new DNS record that points to the standby EC2 instance. Set the new DNS record's weighting to 1. Associate an application health check with each record.

Create an Application Load Balancer (ALB). Update the existing Route 53 record to point to the ALB. Create a target group for each EC2 instance. Configure an application health check on each target group. Associate both target groups with the same ALB listener. Set the primary target group's weighting to 100. Set the standby target group's weighting to 0.

Questions 34

A company uses Amazon EC2 as its primary compute platform. A DevOps team wants to audit the company's EC2 instances to check whether any prohibited applications have been installed on the EC2 instances.

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

Options:

Configure AWS Systems Manager on each instance Use AWS Systems Manager Inventory Use Systems Manager resource data sync to synchronize and store findings in an Amazon S3 bucket Create an AWS Lambda function that runs when new objects are added to the S3 bucket. Configure the Lambda function to identify prohibited applications.

Configure AWS Systems Manager on each instance Use Systems Manager Inventory Create AWS Config rules that monitor changes from Systems Manager Inventory to identify prohibited applications.

Configure AWS Systems Manager on each instance. Use Systems Manager Inventory. Filter a trail in AWS CloudTrail for Systems Manager Inventory events to identify prohibited applications.

Designate Amazon CloudWatch Logs as the log destination for all application instances Run an automated script across all instances to create an inventory of installed applications Configure the script to forward the results to CloudWatch Logs Create a CloudWatch alarm that uses filter patterns to search log data to identify prohibited applications.

Answer:

Explanation:

 Configure AWS Systems Manager on Each Instance:

AWS Systems Manager provides a unified interface for managing AWS resources. Install the Systems Manager agent on each EC2 instance to enable inventory management and other features.

 Use AWS Systems Manager Inventory:

Systems Manager Inventory collects metadata about your instances and the software installed on them. This data includes information about applications, network configurations, and more.

Enable Systems Manager Inventory on all EC2 instances to gather detailed information about installed applications.

 Use Systems Manager Resource Data Sync to Synchronize and Store Findings in an Amazon S3 Bucket:

Resource Data Sync aggregates inventory data from multiple accounts and regions into a single S3 bucket, making it easier to query and analyze the data.

Configure Resource Data Sync to automatically transfer inventory data to an S3 bucket for centralized storage.

 Create an AWS Lambda Function that Runs When New Objects are Added to the S3 Bucket:

Use an S3 event to trigger a Lambda function whenever new inventory data is added to the S3 bucket.

The Lambda function can parse the inventory data and check for the presence of prohibited applications.

 Configure the Lambda Function to Identify Prohibited Applications:

The Lambda function should be programmed to scan the inventory data for any known prohibited applications and generate alerts or take appropriate actions if such applications are found.

Example Lambda function in Python

import json

import boto3

def lambda_handler(event, context):

s3 = boto3.client('s3')

bucket = event['Records'][0]['s3']['bucket']['name']

key = event['Records'][0]['s3']['object']['key']

response = s3.get_object(Bucket=bucket, Key=key)

inventory_data = json.loads(response['Body'].read().decode('utf-8'))

prohibited_apps = ['app1', 'app2']

for instance in inventory_data['Instances']:

for app in instance['Applications']:

if app['Name'] in prohibited_apps:

# Send notification or take action

print(f"Prohibited application found: {app['Name']} on instance {instance['InstanceId']}")

return {'statusCode': 200, 'body': json.dumps('Check completed')}

By leveraging AWS Systems Manager Inventory, Resource Data Sync, and Lambda, this solution provides an efficient and automated way to audit EC2 instances for prohibited applications.

[References:, AWS Systems Manager Inventory, AWS Systems Manager Resource Data Sync, S3 Event Notifications, AWS Lambda, , , ]

Questions 35

A company uses an Amazon Elastic Kubernetes Service (Amazon EKS) cluster to deploy its web applications on containers. The web applications contain confidential data that cannot be decrypted without specific credentials.

A DevOps engineer has stored the credentials in AWS Secrets Manager. The secrets are encrypted by an AWS Key Management Service (AWS KMS) customer managed key. A Kubernetes service account for a third-party tool makes the secrets available to the applications. The service account assumes an IAM role that the company created to access the secrets.

The service account receives an Access Denied (403 Forbidden) error while trying to retrieve the secrets from Secrets Manager.

What is the root cause of this issue?

Options:

The IAM role that is attached to the EKS cluster does not have access to retrieve the secrets from Secrets Manager.

The key policy for the customer managed key does not allow the Kubernetes service account IAM role to use the key.

The key policy for the customer managed key does not allow the EKS cluster IAM role to use the key.

The IAM role that is assumed by the Kubernetes service account does not have permission to access the EKS cluster.

Questions 36

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.

Questions 37

A company operates sensitive workloads across the AWS accounts that are in the company's organization in AWS Organizations The company uses an IP address range to delegate IP addresses for Amazon VPC CIDR blocks and all non-cloud hardware.

The company needs a solution that prevents principals that are outside the company's IP address range from performing AWS actions In the organization's accounts

Which solution will meet these requirements?

Options:

Configure AWS Firewall Manager for the organization. Create an AWS Network Firewall policy that allows only source traffic from the company's IP address range Set the policy scope to all accounts in the organization.

In Organizations, create an SCP that denies source IP addresses that are outside of the company s IP address range. Attach the SCP to the organization's root

Configure Amazon GuardDuty for the organization. Create a GuardDuty trusted IP address list for the company's IP range Activate the trusted IP list for the organization.

In Organizations, create an SCP that allows source IP addresses that are inside of the company s IP address range. Attach the SCP to the organization's root.

Questions 38

A company wants to decrease the time it takes to develop new features. The company uses AWS CodeBuild and AWS CodeDeploy to build and deploy its applications. The company uses AWS CodePipeline to deploy each microservice with its own CI/CD pipeline. The company needs more visibility into the average time between the release of new features and the average time to recover after a failed deployment. Which solution will provide this visibility with the LEAST configuration effort?

Options:

Program an AWS Lambda function that creates Amazon CloudWatch custom metrics with information about successful runs and failed runs for each pipeline. Create an Amazon EventBridge rule to invoke the Lambda function every 5 minutes. Use the metrics to build a CloudWatch dashboard.

Program an AWS Lambda function that creates Amazon CloudWatch custom metrics with information about successful runs and failed runs for each pipeline. Create an Amazon EventBridge rule to invoke the Lambda function after every successful run and after every failed run. Use the metrics to build a CloudWatch dashboard.

Program an AWS Lambda function that writes information about successful runs and failed runs to Amazon DynamoDB. Create an Amazon EventBridge rule to invoke the Lambda function after every successful run and after every failed run. Build an Amazon QuickSight dashboard to show the information from DynamoDB.

Program an AWS Lambda function that writes information about successful runs and failed runs to Amazon DynamoDB. Create an Amazon EventBridge rule to invoke the Lambda function every 5 minutes. Build an Amazon QuickSight dashboard to show the information from DynamoDB.

Questions 39

A company's DevOps engineer uses AWS Systems Manager to perform maintenance tasks during maintenance windows. The company has a few Amazon EC2 instances that require a restart after notifications from AWS Health. The DevOps engineer needs to implement an automated solution to remediate these notifications. The DevOps engineer creates an Amazon EventBridge rule.

How should the DevOps engineer configure the EventBridge rule to meet these requirements?

Options:

Configure an event source of AWS Health, a service of EC2. and an event type that indicates instance maintenance. Target a Systems Manager document to restart the EC2 instance.

Configure an event source of Systems Manager and an event type that indicates a maintenance window. Target a Systems Manager document to restart the EC2 instance.

Configure an event source of AWS Health, a service of EC2, and an event type that indicates instance maintenance. Target a newly created AWS Lambda function that registers an automation task to restart the EC2 instance during a maintenance window.

Configure an event source of EC2 and an event type that indicates instance maintenance. Target a newly created AWS Lambda function that registers an automation task to restart the EC2 instance during a maintenance window.

Questions 40

A DevOps engineer is creating a CI/CD pipeline to build container images. The engineer needs to store container images in Amazon Elastic Container Registry (Amazon ECR) and scan the images for common vulnerabilities. The CI/CD pipeline must be resilient to outages in upstream source container image repositories.

Which solution will meet these requirements?

Options:

Create an ECR private repository in the private registry to store the container images and scan images when images are pushed to the repository. Configure a replication rule in the private registry to replicate images from upstream repositories.

Create an ECR public repository in the public registry to cache images from upstream source repositories. Create an ECR private repository to store images. Configure the private repository to scan images when images are pushed to the repository.

Create an ECR public repository in the public registry. Configure a pull through cache rule for the repository. Create an ECR private repository to store images. Configure the ECR private registry to perform basic scanning.

Create an ECR private repository in the private registry to store the container images. Enable basic scanning for the private registry, and create a pull through cache rule.

Exam Code: DOP-C02

Certification Provider: Amazon Web Services

Exam Name: AWS Certified DevOps Engineer - Professional

Last Update: Dec 15, 2025

Questions: 392

How to Pass DOP-C02 Exams

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