DOP-C02 Amazon Web Services AWS Certified DevOps Engineer - Professional Free Practice Exam Questions (2025 Updated)

Prepare effectively for your Amazon Web Services DOP-C02 AWS Certified DevOps Engineer - Professional certification with our extensive collection of free, high-quality practice questions. Each question is designed to mirror the actual exam format and objectives, complete with comprehensive answers and detailed explanations. Our materials are regularly updated for 2025, ensuring you have the most current resources to build confidence and succeed on your first attempt.

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Question # 26

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?

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.

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, , , ]

Question # 27

A company is using AWS CodePipeline to deploy an application. According to a new guideline, a member of the company's security team must sign off on any application changes before the changes are deployed into production. The approval must be recorded and retained.

Which combination of actions will meet these requirements? (Select TWO.)

Configure CodePipeline to write actions to Amazon CloudWatch Logs.

Configure CodePipeline to write actions to an Amazon S3 bucket at the end of each pipeline stage.

Create an AWS CloudTrail trail to deliver logs to Amazon S3.

Create a CodePipeline custom action to invoke an AWS Lambda function for approval. Create a policy that gives the security team access to manage CodePipeline custom actions.

Create a CodePipeline manual approval action before the deployment step. Create a policy that grants the security team access to approve manual approval stages.

Question # 28

A company uses AWS Organizations to manage its AWS accounts. A DevOps engineer must ensure that all users who access the AWS Management Console are authenticated through the company's corporate identity provider (IdP).

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

Use Amazon GuardDuty with a delegated administrator account. Use GuardDuty to enforce denial of 1AM user logins

Use AWS 1AM Identity Center to configure identity federation with SAML 2.0.

Create a permissions boundary in AWS 1AM Identity Center to deny password logins for 1AM users.

Create 1AM groups in the Organizations management account to apply consistent permissions for all 1AM users.

Create an SCP in Organizations to deny password creation for 1AM users.

Question # 29

An Amazon EC2 instance is running in a VPC and needs to download an object from a restricted Amazon S3 bucket. When the DevOps engineer tries to download the object, an AccessDenied error is received,

What are the possible causes tor this error? (Select TWO,)

The 53 bucket default encryption is enabled.

There is an error in the S3 bucket policy.

The object has been moved to S3 Glacier.

There is an error in the IAM role configuration.

S3 Versioning is enabled.

Question # 30

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?

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.

Question # 31

A DevOps engineer is working on a project that is hosted on Amazon Linux and has failed a security review. The DevOps manager has been asked to review the company buildspec. yaml die for an AWS CodeBuild project and provide recommendations. The buildspec. yaml file is configured as follows:

What changes should be recommended to comply with AWS security best practices? (Select THREE.)

Add a post-build command to remove the temporary files from the container before termination to ensure they cannot be seen by other CodeBuild users.

Update the CodeBuild project role with the necessary permissions and then remove the AWS credentials from the environment variable.

Store the db_password as a SecureString value in AWS Systems Manager Parameter Store and then remove the db_password from the environment variables.

Move the environment variables to the 'db.-deploy-bucket ‘Amazon S3 bucket, add a prebuild stage to download then export the variables.

Use AWS Systems Manager run command versus sec and ssh commands directly to the instance.

Question # 32

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?

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.

Question # 33

A DevOps engineer has implemented a Cl/CO pipeline to deploy an AWS Cloud Format ion template that provisions a web application. The web application consists of an Application Load Balancer (ALB) a target group, a launch template that uses an Amazon Linux 2 AMI an Auto Scaling group of Amazon EC2 instances, a security group and an Amazon RDS for MySQL database The launch template includes user data that specifies a script to install and start the application.

The initial deployment of the application was successful. The DevOps engineer made changes to update the version of the application with the user data. The CI/CD pipeline has deployed a new version of the template However, the health checks on the ALB are now failing The health checks have marked all targets as unhealthy.

During investigation the DevOps engineer notices that the Cloud Formation stack has a status of UPDATE_COMPLETE. However, when the DevOps engineer connects to one of the EC2 instances and checks /varar/log messages, the DevOps engineer notices that the Apache web server failed to start successfully because of a configuration error

How can the DevOps engineer ensure that the CloudFormation deployment will fail if the user data fails to successfully finish running?

Use the cfn-signal helper script to signal success or failure to CloudFormation Use the WaitOnResourceSignals update policy within the CloudFormation template Set an appropriate timeout for the update policy.

Create an Amazon CloudWatch alarm for the UnhealthyHostCount metric. Include an appropriate alarm threshold for the target group Create an Amazon Simple Notification Service (Amazon SNS) topic as the target to signal success or failure to CloudFormation

Create a lifecycle hook on the Auto Scaling group by using the AWS AutoScaling LifecycleHook resource Create an Amazon Simple Notification Service (Amazon SNS) topic as the target to signal success or failure to CloudFormation Set an appropriate timeout on the lifecycle hook.

Use the Amazon CloudWatch agent to stream the cloud-init logs Create a subscription filter that includes an AWS Lambda function with an appropriate invocation timeout Configure the Lambda function to use the SignalResource API operation to signal success or failure to CloudFormation.

Question # 34

A company uses AWS Organizations to manage multiple AWS accounts. The accounts are in an OU that has a policy attached to allow all actions. The company is migrating several Git repositories to a specified AWS CodeConnections supported Git provider. The Git repositories manage AWS CloudFormation stacks for application infrastructure that the company deploys across multiple AWS Regions. The company wants a DevOps team to integrate CodeConnections into the CloudFormation stacks. The DevOps team must ensure that company staff members can integrate only with the specified Git provider. The deployment process must be highly available across Regions. Which combination of steps will meet these requirements? (Select THREE.)

Add a new SCP statement to the OU that denies the CodeConnections CreatingConnections action where the provider type is not the specified Git provider.

Add a new SCP statement to the OU that allows the CodeConnections CreatingConnections action where the provider type is the specified Git provider.

Use CodeConnections to configure a single CodeConnections connection to each Git repository.

Use CodeConnections to create a CodeConnections connection from each Region where the company operates to each Git repository.

Use CodeConnections to create a CodeConnections repository link. Update each CloudFormation stack to sync from the Git repository.

For each Git repository, create a pipeline in AWS CodePipeline that has the Git repository set as the source and a CloudFormation deployment stage.

Question # 35

A company is developing a web application and is using AWS CodeBuild for its CI/CD pipeline. The company must generate multiple artifacts from a single build process. The company also needs the ability to determine which build generated each artifact. The artifacts must be stored in an Amazon S3 bucket for further processing and deployment. Builds occur frequently and are based on a large Git repository. The company needs to optimize build times. Which solution will meet these requirements with the MOST operational efficiency?

Configure the buildspec.yml file to specify multiple artifacts with different file sets. Enable local caching for the build process by using source cache mode. Use environment variables to dynamically name artifacts based on the build ID.

Configure the buildspec.yml file to output all files as a single artifact. Enable local caching for the build process by using custom cache mode. Create an AWS Lambda function that is invoked by CodeBuild completion. Program the Lambda function to split the artifact into multiple files and to upload the files to the S3 bucket with dynamic names based on build ID.

Create separate CodeBuild projects for each artifact type. Enable local caching for the build process by using Docker layer cache mode. Configure each project to output a single artifact to the S3 bucket with a dynamic name based on build ID. Use AWS Step Functions to orchestrate the projects in parallel.

Set up CodeBuild to generate a single ZIP artifact that contains all files. Enable S3 caching for the build process. Use AWS CodePipeline with a custom action to extract the files and reorganize the files into multiple artifacts in the S3 bucket. Configure the custom action to dynamically name the files based on the time of the build.

Question # 36

A company’s web app publishes JSON logs with transaction status to CloudWatch Logs. The company wants a dashboard showing the number of successful transactions with the least operational overhead.

Which solution meets this?

Create an OpenSearch cluster and subscription filter to send logs; create OpenSearch dashboard with queries for success.

Create a CloudWatch subscription filter with Lambda to parse logs and publish custom metrics; create CloudWatch dashboard with metric graph.

Create a CloudWatch metric filter on the log group with a pattern matching success; create CloudWatch dashboard with metric graph.

Create a Kinesis data stream subscribed to the log group; filter logs by success; send to Lambda; Lambda publishes custom metrics; dashboard uses metric graph.

Question # 37

A company recently created a new AWS Control Tower landing zone in a new organization in AWS Organizations. The landing zone must be able to demonstrate compliance with the Center tor Internet Security (CIS) Benchmarks tor AWS Foundations.

The company's security team wants to use AWS Security Hub to view compliance across all accounts Only the security team can be allowed to view aggregated Security Hub Findings. In addition specific users must be able to view findings from their own accounts within the organization All accounts must be enrolled m Security Hub after the accounts are created.

Which combination of steps will meet these requirements in the MOST automated way? (Select THREE.)

Turn on trusted access for Security Hub in the organization's management account. Create a new security account by using AWS Control Tower Configure the new security account as the delegated administrator account for Security Hub. In the new security account provide. Security Hub with the CIS Benchmarks for AWS Foundations standards.

Turn on trusted access for Security Hub in the organ ration's management account. From the management account, provide Security Hub with the CIS Benchmarks for AWS Foundations standards.

Create an AWS IAM identity Center (AWS Single Sign-On) permission set that includes the required permissions Use the CreateAccountAssignment API operation to associate the security team users with the permission set and with the delegated security account.

Create an SCP that explicitly denies any user who is not on the security team from accessing Security Hub.

In Security Hub, turn on automatic enablement.

In the organization's management account create an Amazon EventBridge rule that reacts to the CreateManagedAccount event Create an AWS Lambda function that uses the Security Hub CreateMembers API operation to add new accounts to Security Hub. Configure the EventBridge rule to invoke the Lambda function.

Question # 38

A company sells products through an ecommerce web application The company wants a dashboard that shows a pie chart of product transaction details. The company wants to integrate the dashboard With the company’s existing Amazon CloudWatch dashboards

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

Update the ecommerce application to emit a JSON object to a CloudWatch log group for each processed transaction. Use CloudWatch Logs Insights to query the log group and to visualize the results in a pie chart format Attach the results to the desired CloudWatch dashboard.

Update the ecommerce application to emit a JSON object to an Amazon S3 bucket for each processed transaction. Use Amazon Athena to query the S3 bucket and to visualize the results In a Pie chart format. Export the results from Athena Attach the results to the desired CloudWatch dashboard

Update the ecommerce application to use AWS X-Ray for instrumentation. Create a new X-Ray subsegment Add an annotation for each processed transaction. Use X-Ray traces to query the data and to visualize the results in a pie chart format Attach the results to the desired CloudWatch dashboard

Update the ecommerce application to emit a JSON object to a CloudWatch log group for each processed transaction_ Create an AWS Lambda function to aggregate and write the results to Amazon DynamoDB. Create a Lambda subscription filter for the log file. Attach the results to the desired CloudWatch dashboard.

Explanation:

The correct answer is A.

A comprehensive and detailed explanation is:

Option A is correct because it meets the requirements with the most operational efficiency. Updating the ecommerce application to emit a JSON object to a CloudWatch log group for each processed transaction is a simple and cost-effective way to collect the data needed for the dashboard. Using CloudWatch Logs Insights to query the log group and to visualize the results in a pie chart format is also a convenient and integrated solution that leverages the existing CloudWatch dashboards. Attaching the results to the desired CloudWatch dashboard is straightforward and does not require any additional steps or services.

Option B is incorrect because it introduces unnecessary complexity and cost. Updating the ecommerce application to emit a JSON object to an Amazon S3 bucket for each processed transaction is a valid way to store the data, but it requires creating and managing an S3 bucket and its permissions. Using Amazon Athena to query the S3 bucket and to visualize the results in a pie chart format is also a valid way to analyze the data, but it incurs charges based on the amount of data scanned by each query. Exporting the results from Athena and attaching them to the desired CloudWatch dashboard is also an extra step that adds more overhead and latency.

Option C is incorrect because it uses AWS X-Ray for an inappropriate purpose. Updating the ecommerce application to use AWS X-Ray for instrumentation is a good practice for monitoring and tracing distributed applications, but it is not designed for aggregating product transaction details. Creating a new X-Ray subsegment and adding an annotation for each processed transaction is possible, but it would clutter the X-Ray service map and make it harder to debug performance issues. Using X-Ray traces to query the data and to visualize the results in a pie chart format is also possible, but it would require custom code and logic that are not supported by X-Ray natively. Attaching the results to the desired CloudWatch dashboard is also not supported by X-Ray directly, and would require additional steps or services.

Option D is incorrect because it introduces unnecessary complexity and cost. Updating the ecommerce application to emit a JSON object to a CloudWatch log group for each processed transaction is a simple and cost-effective way to collect the data needed for the dashboard, as in option A. However, creating an AWS Lambda function to aggregate and write the results to Amazon DynamoDB is redundant, as CloudWatch Logs Insights can already perform aggregation queries on log data. Creating a Lambda subscription filter for the log file is also redundant, as CloudWatch Logs Insights can already access log data directly. Attaching the results to the desired CloudWatch dashboard would also require additional steps or services, as DynamoDB does not support native integration with CloudWatch dashboards.

[References:, CloudWatch Logs Insights, Amazon Athena, AWS X-Ray, AWS Lambda, Amazon DynamoDB, , , , , ]

Question # 39

A company uses AWS CodePipeline pipelines to automate releases of its application A typical pipeline consists of three stages build, test, and deployment. The company has been using a separate AWS CodeBuild project to run scripts for each stage. However, the company now wants to use AWS CodeDeploy to handle the deployment stage of the pipelines.

The company has packaged the application as an RPM package and must deploy the application to a fleet of Amazon EC2 instances. The EC2 instances are in an EC2 Auto Scaling group and are launched from a common AMI.

Which combination of steps should a DevOps engineer perform to meet these requirements? (Choose two.)

Create a new version of the common AMI with the CodeDeploy agent installed. Update the IAM role of the EC2 instances to allow access to CodeDeploy.

Create a new version of the common AMI with the CodeDeploy agent installed. Create an AppSpec file that contains application deployment scripts and grants access to CodeDeploy.

Create an application in CodeDeploy. Configure an in-place deployment type. Specify the Auto Scaling group as the deployment target. Add a step to the CodePipeline pipeline to use EC2 Image Builder to create a new AMI. Configure CodeDeploy to deploy the newly created AMI.

Create an application in CodeDeploy. Configure an in-place deployment type. Specify the Auto Scaling group as the deployment target. Update the CodePipeline pipeline to use the CodeDeploy action to deploy the application.

Create an application in CodeDeploy. Configure an in-place deployment type. Specify the EC2 instances that are launched from the common AMI as the deployment target. Update the CodePipeline pipeline to use the CodeDeploy action to deploy the application.

Question # 40

A highly regulated company has a policy that DevOps engineers should not log in to their Amazon EC2 instances except in emergencies. It a DevOps engineer does log in the security team must be notified within 15 minutes of the occurrence.

Which solution will meet these requirements'?

Install the Amazon Inspector agent on each EC2 instance Subscribe to Amazon EventBridge notifications Invoke an AWS Lambda function to check if a message is about user logins If it is send a notification to the security team using Amazon SNS.

Install the Amazon CloudWatch agent on each EC2 instance Configure the agent to push all logs to Amazon CloudWatch Logs and set up a CloudWatch metric filter that searches for user logins. If a login is found send a notification to the security team using Amazon SNS.

Set up AWS CloudTrail with Amazon CloudWatch Logs. Subscribe CloudWatch Logs to Amazon Kinesis Attach AWS Lambda to Kinesis to parse and determine if a log contains a user login If it does, send a notification to the security team using Amazon SNS.

Set up a script on each Amazon EC2 instance to push all logs to Amazon S3 Set up an S3 event to invoke an AWS Lambda function which invokes an Amazon Athena query to run. The Athena query checks tor logins and sends the output to the security team using Amazon SNS.

Question # 41

A company uses Amazon S3 to store proprietary information. The development team creates buckets for new projects on a daily basis. The security team wants to ensure that all existing and future buckets have encryption logging and versioning enabled. Additionally, no buckets should ever be publicly read or write accessible.

What should a DevOps engineer do to meet these requirements?

Enable AWS CloudTrail and configure automatic remediation using AWS Lambda.

Enable AWS Conflg rules and configure automatic remediation using AWS Systems Manager documents.

Enable AWS Trusted Advisor and configure automatic remediation using Amazon EventBridge.

Enable AWS Systems Manager and configure automatic remediation using Systems Manager documents.

Question # 42

A development team manually builds an artifact locally and then places it in an Amazon S3 bucket. The application has a local cache that must be cleared when a deployment occurs. The team runs a command to do this downloads the artifact from Amazon S3 and unzips the artifact to complete the deployment.

A DevOps team wants to migrate to a CI/CD process and build in checks to stop and roll back the deployment when a failure occurs. This requires the team to track the progression of the deployment.

Which combination of actions will accomplish this? (Select THREE)

Allow developers to check the code into a code repository Using Amazon EventBridge on every pull into the mam branch invoke an AWS Lambda function to build the artifact and store it in Amazon S3.

Create a custom script to clear the cache Specify the script in the Beforelnstall lifecycle hook in the AppSpec file.

Create user data for each Amazon EC2 instance that contains the clear cache script Once deployed test the application If it is not successful deploy it again.

Set up AWS CodePipeline to deploy the application Allow developers to check the code into a code repository as a source tor the pipeline.

Use AWS CodeBuild to build the artifact and place it in Amazon S3 Use AWS CodeDeploy to deploy the artifact to Amazon EC2 instances.

Use AWS Systems Manager to fetch the artifact from Amazon S3 and deploy it to all the instances.

Question # 43

A company is developing a web application that runs on Amazon EC2 Linux instances. The application requires monitoring of custom performance metrics. The company must collect metrics for API response times and database query latency across multiple instances. Which solution will generate the custom metrics with the LEAST operational overhead?

Install the Amazon CloudWatch agent on the instances. Configure the agent to collect the custom metrics. Instrument the application to send the metrics to the agent.

Use Amazon Managed Service for Prometheus to scrape the custom metrics from the application. Use the Amazon CloudWatch agent to forward the metrics to CloudWatch.

Create a custom AWS Lambda function that polls the application endpoints and database at regular intervals. Program the Lambda function to calculate the custom metrics and to send the metrics to Amazon CloudWatch by using PutMetricData API calls.

Implement custom logging in the application code to record the custom metrics. Use Amazon CloudWatch Logs Insights to extract and analyze the metrics.

Question # 44

A company uses Amazon RDS for Microsoft SQL Server as its primary database and must ensure cross-Region high availability with RPO < 1 min and RTO < 10 min.

Which solution meets these requirements?

Use RDS Multi-AZ DB cluster with cross-Region read replicas. Automate failover via Route 53.

Use Multi-AZ cluster with snapshots copied cross-Region.

Use single-AZ RDS + DMS continuous replication.

Use single-AZ with Backup and restore.

Question # 45

A company recently deployed its web application on AWS. The company is preparing for a large-scale sales event and must ensure that the web application can scale to meet the demand

The application's frontend infrastructure includes an Amazon CloudFront distribution that has an Amazon S3 bucket as an origin. The backend infrastructure includes an Amazon API Gateway API. several AWS Lambda functions, and an Amazon Aurora DB cluster

The company's DevOps engineer conducts a load test and identifies that the Lambda functions can fulfill the peak number of requests However, the DevOps engineer notices request latency during the initial burst of requests Most of the requests to the Lambda functions produce queries to the database A large portion of the invocation time is used to establish database connections

Which combination of steps will provide the application with the required scalability? (Select TWO)

Configure a higher reserved concurrency for the Lambda functions.

Configure a higher provisioned concurrency for the Lambda functions

Convert the DB cluster to an Aurora global database Add additional Aurora Replicas in AWS Regions based on the locations of the company's customers.

Refactor the Lambda Functions Move the code blocks that initialize database connections into the function handlers.

Use Amazon RDS Proxy to create a proxy for the Aurora database Update the Lambda functions to use the proxy endpoints for database connections.

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DOP-C02 Amazon Web Services AWS Certified DevOps Engineer - Professional Free Practice Exam Questions (2025 Updated)

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