Exam Overview
| Exam Code | DVA-C02 |
| Exam Name | AWS Certified Developer - Associate |
| Vendor | Amazon |
| Total Questions | 344 |
| Last Updated | 26-Oct, 2026 |
Why CertsPoint?
- Latest & Verified Questions
- Detailed Explanations
- Regular Updates
- Full-Length Practice Tests
- Boost Your Exam Confidence
PDF Study Materials
Downloadable guides and resources
Practice Tests
Full-length tests with real exam experience
Progress Tracking
Monitor your performance and improvement
Study Anywhere
Access on desktop, tablet, and mobile
Secure Payment
Privacy Protected
Money Back Guarantee
Free DVA-C02 Practice Questions
Explore 8 free practice questions for the Amazon DVA-C02 exam and review the answers and explanations to support your preparation.
-
Question 1
Single answerAcompany is running a custom application on a set of on-premises Linux servers that are accessed
using Amazon API Gateway. AWS X-Ray tracing has been enabled on the API test stage.
How can a developer enable X-Ray tracing on the on-premises servers with the LEAST amount of
configuration?-
Option A:Correct
Install and run the X-Ray SDK on the on-premises servers to capture and relay the data to the XRay service.
-
Option B:Correct
Install and run the X-Ray daemon on the on-premises servers to capture and relay the data to the
X-Ray service. -
Option C:Correct
Capture incoming requests on-premises and configure an AWS Lambda function to pull, process,
and relay relevant data to X-Ray using the PutTraceSegments API call. -
Option D:Correct
Capture incoming requests on-premises and configure an AWS Lambda function to pull, process,
and relay relevant data to X-Ray using the PutTelemetryRecords API call.
Show Answer & Explanation Hide Answer & Explanation
Correct Answer: B
Explanation
The X-Ray daemon is a software that collects trace data from the X-Ray SDK and relays it to the X-Ray
service. The X-Ray daemon can run on any platform that supports Go, including Linux, Windows, and
macOS. The developer can install and run the X-Ray daemon on the on-premises servers to capture
and relay the data to the X-Ray service with minimal configuration. The X-Ray SDK is used to
instrument the application code, not to capture and relay data. The Lambda function solutions are
more complex and require additional configuration.
Reference:
[AWS X-Ray concepts - AWS X-Ray]
[Setting up AWS X-Ray - AWS X-Ray] -
-
Question 2
Multiple answersAdeveloper has an application that makes batch requests directly to Amazon DynamoDB by using
the BatchGetItem low-level API operation. The responses frequently return values in the
UnprocessedKeys element.
Which actions should the developer take to increase the resiliency of the application when the batch
response includes values in UnprocessedKeys? (Choose two.)-
Option A:Correct
Retry the batch operation immediately.
-
Option B:Correct
Retry the batch operation with exponential backoff and randomized delay.
-
Option C:Correct
Update the application to use an AWS software development kit (AWS SDK) to make the requests.
-
Option D:Correct
Increase the provisioned read capacity of the DynamoDB tables that the operation accesses.
-
Option E:Correct
Increase the provisioned write capacity of the DynamoDB tables that the operation accesses.
Show Answer & Explanation Hide Answer & Explanation
Correct Answer: B, C
Explanation
The UnprocessedKeys element indicates that the BatchGetItem operation did not process all of the
requested items in the current response. This can happen if the response size limit is exceeded or if
the table’s provisioned throughput is exceeded. To handle this situation, the developer should retry
the batch operation with exponential backoff and randomized delay to avoid throttling errors and
reduce the load on the table. The developer should also use an AWS SDK to make the requests, as
the SDKs automatically retry requests that return UnprocessedKeys.
Reference:
[BatchGetItem - Amazon DynamoDB]
[Working with Queries and Scans - Amazon DynamoDB] -
-
Question 3
Multiple answersAdeveloper is creating an AWS CloudFormation template to deploy Amazon EC2 instances across
multiple AWS accounts. The developer must choose the EC2 instances from a list of approved
instance types.
How can the developer incorporate the list of approved instance types in the CloudFormation
template?-
Option A:Correct
Create a separate CloudFormation template for each EC2 instance type in the list.
-
Option B:Correct
In the Resources section of the CloudFormation template, create resources for each EC2 instance
type in the list.
-
Option C:Correct
In the CloudFormation template, create a separate parameter for each EC2 instance type in the
list. -
Option D:Correct
In the CloudFormation template, create a parameter with the list of EC2 instance types as
AllowedValues.
Show Answer & Explanation Hide Answer & Explanation
Correct Answer: D
Explanation
In the CloudFormation template, the developer should create a parameter with the list of approved
EC2 instance types as AllowedValues. This way, users can select the instance type they want to use
when launching the CloudFormation stack, but only from the approved list. -
-
Question 4
Single answerAdeveloper has created an AWS Lambda function that is written in Python. The Lambda function
reads data from objects in Amazon S3 and writes data to an Amazon DynamoDB table. The function is
successfully invoked from an S3 event notification when an object is created. However, the function
fails when it attempts to write to the DynamoDB table.
What is the MOST likely cause of this issue?-
Option A:Correct
The Lambda function's concurrency limit has been exceeded.
-
Option B:Correct
DynamoDB table requires a global secondary index (GSI) to support writes.
-
Option C:Correct
The Lambda function does not have IAM permissions to write to DynamoDB.
-
Option D:Correct
The DynamoDB table is not running in the same Availability Zone as the Lambda function.
Show Answer & Explanation Hide Answer & Explanation
Correct Answer: C
Explanation
The most likely cause is that the AWS Lambda function does not have the required IAM permissions to write to the Amazon DynamoDB table. While the function is successfully triggered by the Amazon S3 event notification, which indicates that its basic execution role and S3 permissions are correct, the failure occurs specifically when attempting a DynamoDB write operation. This strongly points to missing or insufficient permissions in the Lambda execution role, such as lacking
dynamodb:PutItem,UpdateItem, orWriteaccess on the table. In AWS, Lambda functions must explicitly be granted IAM permissions for every service they interact with, and without proper DynamoDB permissions, write operations will fail even though the function itself runs successfully. -
-
Question 5
Single answerAcompany is building a scalable data management solution by using AWS services to improve the
speed and agility of development. The solution will ingest large volumes of data from various sources
and will process this data through multiple business rules and transformations.
The solution requires business rules to run in sequence and to handle reprocessing of data if errors
occur when the business rules run. The company needs the solution to be scalable and to require the
least possible maintenance.
Which AWS service should the company use to manage and automate the orchestration of the data
flows to meet these requirements?-
Option A:Correct
AWS Batch
-
Option B:Correct
AWS Step Functions
-
Option C:Correct
AWS Glue
-
Option D:Correct
AWS Lambda
Show Answer & Explanation Hide Answer & Explanation
Correct Answer: B
Explanation
The requirement is to orchestrate a scalable data pipeline where multiple business rules and transformations must run in a specific sequence, with built-in support for error handling and reprocessing when failures occur. AWS Step Functions is designed exactly for this use case because it allows you to build state machines that coordinate multiple AWS services (like Lambda, Glue, or Batch) in a controlled workflow with retries, error handling, and step-by-step execution. It is highly scalable, fully managed, and requires minimal operational maintenance, making it ideal for orchestrating complex data flows.
-
-
Question 6
Single answerAn application is using Amazon Cognito user pools and identity pools for secure access. A developer
wants to integrate the user-specific file upload and download features in the application with
Amazon S3. The developer must ensure that the files are saved and retrieved in a secure manner and
that users can access only their own files. The file sizes range from 3 KB to 300 MB.
Which option will meet these requirements with the HIGHEST level of security?-
Option A:Correct
Use S3 Event Notifications to validate the file upload and download requests and update the user
interface (UI). -
Option B:Correct
Save the details of the uploaded files in a separate Amazon DynamoDB table. Filter the list of files
in the user interface (UI) by comparing the current user ID with the user ID associated with the file in
the table. -
Option C:Correct
Use Amazon API Gateway and an AWS Lambda function to upload and download files. Validate
each request in the Lambda function before performing the requested operation. -
Option D:Correct
Use an IAM policy within the Amazon Cognito identity prefix to restrict users to use their own
folders in Amazon S3.
Show Answer & Explanation Hide Answer & Explanation
Correct Answer: D
Explanation
The most secure and scalable way to ensure users can only access their own files in Amazon S3 when using Amazon Cognito User Pools and Identity Pools is to use IAM policies scoped with Cognito identity-based prefixes (e.g.,
cognito-identity.amazonaws.com:sub). This allows you to enforce fine-grained access control at the S3 bucket level, ensuring each authenticated user is restricted to their own folder (for example,s3://bucket/${cognito-identity-id}/*). This approach is fully managed, highly secure, and does not require custom application logic or additional services, which makes it the best fit for handling large file uploads (3 KB to 300 MB) efficiently and securely. -
-
Question 7
Single answerAcompany is running Amazon EC2 instances in multiple AWS accounts. A developer needs to
implement an application that collects all the lifecycle events of the EC2 instances. The application
needs to store the lifecycle events in a single Amazon Simple Queue Service (Amazon SQS) queue in
the company's main AWS account for further processing.
Which solution will meet these requirements?-
Option A:Correct
Configure Amazon EC2 to deliver the EC2 instance lifecycle events from all accounts to the Amazon
EventBridge event bus of the main account. Add an EventBridge rule to the event bus of the main
account that matches all EC2 instance lifecycle events. Add the SQS queue as a target of the rule. -
Option B:Correct
Use the resource policies of the SQS queue in the main account to give each account permissions
to write to that SQS queue. Add to the Amazon EventBridge event bus of each account an
EventBridge rule that matches all EC2 instance lifecycle events. Add the SQS queue in the main
account as a target of the rule. -
Option C:Correct
Write an AWS Lambda function that scans through all EC2 instances in the company accounts to
detect EC2 instance lifecycle changes. Configure the Lambda function to write a notification message
to the SQS queue in the main account if the function detects an EC2 instance lifecycle change. Add an
Amazon EventBridge scheduled rule that invokes the Lambda function every minute. -
Option D:Correct
Configure the permissions on the main account event bus to receive events from all accounts.
Create an Amazon EventBridge rule in each account to send all the EC2 instance lifecycle events to
the main account event bus. Add an EventBridge rule to the main account event bus that matches all
EC2 instance lifecycle events. Set the SQS queue as a target for the rule.
Show Answer & Explanation Hide Answer & Explanation
Correct Answer: D
Explanation
Amazon EC2 instances can send the state-change notification events to Amazon EventBridge.
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/monitoring-instance-state-changes.html
Amazon EventBridge can send and receive events between event buses in AWS accounts.
https://docs.aws.amazon.com/eventbridge/latest/userguide/eb-cross-account.html -
-
Question 8
Single answerAcompany is implementing an application on Amazon EC2 instances. The application needs to
process incoming transactions. When the application detects a transaction that is not valid, the
application must send a chat message to the company's support team. To send the message, the
application needs to retrieve the access token to authenticate by using the chat API.
A developer needs to implement a solution to store the access token. The access token must be
encrypted at rest and in transit. The access token must also be accessible from other AWS accounts.
Which solution will meet these requirements with the LEAST management overhead?-
Option A:Correct
Use an AWS Systems Manager Parameter Store SecureString parameter that uses an AWS Key
Management Service (AWS KMS) AWS managed key to store the access token. Add a resource-based
policy to the parameter to allow access from other accounts. Update the IAM role of the EC2
instances with permissions to access Parameter Store. Retrieve the token from Parameter Store with
the decrypt flag enabled. Use the decrypted access token to send the message to the chat. -
Option B:Correct
Encrypt the access token by using an AWS Key Management Service (AWS KMS) customer
managed key. Store the access token in an Amazon DynamoDB table. Update the IAM role of the EC2
instances with permissions to access DynamoDB and AWS KMS. Retrieve the token from DynamoDB.
Decrypt the token by using AWS KMS on the EC2 instances. Use the decrypted access token to send
the message to the chat. -
Option C:Correct
Use AWS Secrets Manager with an AWS Key Management Service (AWS KMS) customer managed
key to store the access token. Add a resource-based policy to the secret to allow access from other
accounts. Update the IAM role of the EC2 instances with permissions to access Secrets Manager.
Retrieve the token from Secrets Manager. Use the decrypted access token to send the message to
the chat. -
Option D:Correct
Encrypt the access token by using an AWS Key Management Service (AWS KMS) AWS managed
key. Store the access token in an Amazon S3 bucket. Add a bucket policy to the S3 bucket to allow
access from other accounts. Update the IAM role of the EC2 instances with permissions to access
Amazon S3 and AWS KMS. Retrieve the token from the S3 bucket. Decrypt the token by using AWS
KMS on the EC2 instances. Use the decrypted access token to send the massage to the chat.
Show Answer & Explanation Hide Answer & Explanation
Correct Answer: C
Explanation
The best solution with the least management overhead and strongest security is to use AWS Secrets Manager with a customer managed AWS KMS key to store the access token. Secrets Manager is purpose-built for storing and retrieving sensitive credentials such as API keys and access tokens, and it automatically provides encryption at rest and in transit, fine-grained IAM access control, and built-in cross-account access via resource-based policies. The application running on Amazon EC2 can securely retrieve the secret using IAM permissions without needing to manually manage encryption/decryption logic. This eliminates the need for custom storage, manual key handling, or additional infrastructure, making it the simplest and most secure option that meets all requirements.
Why others are incorrect:- A: AWS Systems Manager Parameter Store SecureString is secure, but cross-account access via resource policies is more limited and less flexible than Secrets Manager for this use case.
- B: Requires manual encryption/decryption logic and DynamoDB management, increasing overhead.
- D: Using S3 for secret storage is not designed for secrets management and adds unnecessary complexity and risk.
-