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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Troubleshooting and Optimization	18%	- Performance optimization 1. Application performance tuning 2. Fault tolerance and resilience patterns - Monitoring and logging 1. Amazon CloudWatch metrics and logs
Topic 2: Security	26%	- Application authentication and authorization 1. IAM roles and policies 2. Cognito user authentication - Data security 1. Secure API access patterns 2. Encryption using AWS KMS
Topic 3: Deployment	24%	- Infrastructure as code 1. AWS CloudFormation templates - CI/CD and deployment strategies 1. AWS CodeBuild and CodeDeploy usage 2. AWS CodePipeline workflows
Topic 4: Development with AWS Services	32%	- Application development and integration 1. API Gateway and REST APIs 2. Event-driven architectures with SNS/SQS - AWS core services development 1. Amazon S3 usage in applications 2. AWS Lambda functions development 3. Amazon DynamoDB integration patterns

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Amazon AWS Certified Developer - Associate Sample Questions (Q146-Q151):

NEW QUESTION # 146
A developer wants to use AWS Elastic Beanstalk to test a new version of an application in a test environment. Which deployment method offers the FASTEST deployment?

A. All at once
B. Immutable
C. Rolling with additional batch
D. Rolling

Answer: A

Explanation:
The All at once deployment method in AWS Elastic Beanstalk replaces all instances simultaneously, making it the fastest deployment option. While it may cause temporary downtime, it is ideal for test environments where speed is prioritized over availability.

NEW QUESTION # 147
A developer is investigating an issue in part of a company's application. In the application messages are sent to an Amazon Simple Queue Service (Amazon SQS) queue The AWS Lambda function polls messages from the SQS queue and sends email messages by using Amazon Simple Email Service (Amazon SES) Users have been receiving duplicate email messages during periods of high traffic.
Which reasons could explain the duplicate email messages? (Select TWO.)

A. The SQS queue's visibility timeout is lower than or the same as the Lambda function's timeout.
B. Standard SQS queues support exactly-once processing, so the duplicate email messages are because of user error.
C. The Amazon SES bounce rate metric is too high.
D. Amazon SES has the DomainKeys Identified Mail (DKIM) authentication incorrectly configured
E. Standard SQS queues support at-least-once message delivery

Answer: A,E

Explanation:
Explanation
Standard SQS queues support at-least-once message delivery, which means that a message can be delivered more than once to the same or different consumers. This can happen if the message is not deleted from the queue before the visibility timeout expires, or if there is a network issue or a system failure. The SQS queue's visibility timeout is the period of time that a message is invisible to other consumers after it is received by one consumer. If the visibility timeout is lower than or the same as the Lambda function's timeout, the Lambda function might not be able to process and delete the message before it becomes visible again, leading to duplicate processing and email messages. To avoid this, the visibility timeout should be set to at least 6 times the length of the Lambda function's timeout. The other options are not related to the issue of duplicate email messages. References
* Using the Amazon SQS message deduplication ID
* Exactly-once processing - Amazon Simple Queue Service
* Amazon SQS duplicated messages in queue - Stack Overflow
* amazon web services - How long can duplicate SQS messages persist ...
* Standard SQS - Duplicate message | AWS re:Post - Amazon Web Services, Inc.

NEW QUESTION # 148
An application that is running on Amazon EC2 instances stores data in an Amazon S3 bucket. All the data must be encrypted in transit.
How can a developer ensure that all traffic to the S3 bucket is encrypted?

A. Install certificates on the EC2 instances.
B. Configure the S3 bucket with server-side encryption with AWS KMS managed encryption keys (SSE-KMS).
C. Create an S3 bucket policy that denies traffic when the value for the aws:SecureTransport condition key is false.
D. Create a private VPC endpoint.

Answer: C

NEW QUESTION # 149
A developer is creating an AWS Lambda function that needs credentials to connect to an Amazon RDS for MySQL database. An Amazon S3 bucket currently stores the credentials. The developer needs to improve the existing solution by implementing credential rotation and secure storage. The developer also needs to provide integration with the Lambda function.
Which solution should the developer use to store and retrieve the credentials with the LEAST management overhead?

A. Encrypt the credentials with the default AWS Key Management Service (AWS KMS) key. Store the credentials as environment variables for the Lambda function. Create a second Lambda function to generate new credentials and to rotate the credentials by updating the environment variables of the first Lambda function. Invoke the second Lambda function by using an Amazon EventBridge rule that runs on a schedule. Update the database to use the new credentials. On the first Lambda function, retrieve the credentials from the environment variables. Decrypt the credentials by using AWS KMS, Connect to the database.
B. Encrypt the credentials by using AWS Key Management Service (AWS KMS). Store the credentials in an Amazon DynamoDB table. Create a second Lambda function to rotate the credentials. Invoke the second Lambda function by using an Amazon EventBridge rule that runs on a schedule. Update the DynamoDB table. Update the database to use the generated credentials. Retrieve the credentials from DynamoDB with the first Lambda function. Connect to the database.
C. Store the credentials in AWS Systems Manager Parameter Store. Select the database that the parameter will access. Use the default AWS Key Management Service (AWS KMS) key to encrypt the parameter.
Enable automatic rotation for the parameter. Use the parameter from Parameter Store on the Lambda function to connect to the database.
D. Store the credentials in AWS Secrets Manager. Set the secret type to Credentials for Amazon RDS database. Select the database that the secret will access. Use the default AWS Key Management Service (AWS KMS) key to encrypt the secret. Enable automatic rotation for the secret. Use the secret from Secrets Manager on the Lambda function to connect to the database.

Answer: D

Explanation:
Explanation
AWS Secrets Manager is a service that helps you protect secrets needed to access your applications, services, and IT resources. Secrets Manager enables you to store, retrieve, and rotate secrets such as database credentials, API keys, and passwords. Secrets Manager supports a secret type for RDS databases, which allows you to select an existing RDS database instance and generate credentials for it. Secrets Manager encrypts the secret using AWS Key Management Service (AWS KMS) keys and enables automatic rotation of the secret at a specified interval. A Lambda function can use the AWS SDK or CLI to retrieve the secret from Secrets Manager and use it to connect to the database. Reference: Rotating your AWS Secrets Manager secrets

NEW QUESTION # 150
A financial services company is migrating its software to run on AWS Lambda function. The Lambda function require access to many highly sensitive configuration parameters that the functions use al runtime.
Because of an upcoming security audit, a developer needs to ensure that sensitive parameters are stored and accessed securely. The developer must retain the ability to control the caching behavior of the parameters without requiring a custom implementation.
Which solution will meet these requirements in the MOST secure way?

A. Store the sensitive parameters in AWS Secrets Manager. Enable the Secrets Manager agent and add the agent as a Lambda layer. Configure the caching behavior by making a request to the local host on port 2773.
B. Store the sensitive parameters in AWS Secrets Manager. Enable the Secrets Manager agent and add the agent as a Lambda layer. Configure the caching behavior by using a TOML config file.
C. Generate an AWS KMS key. Store the sensitive parameters as Lambda environment variables.
Update the encryption configuration of the Lambda function to use the KMS key.
D. Store the sensitive parameters in AWS Secrets Manager. Add logic to the Lambda handlers to retch and cache the sensitive parameters from Secrets Manager.

Answer: B

Explanation:
AWS Secrets Manager is the correct secure store for highly sensitive configuration values, and the Secrets Manager Agent can be packaged as a Lambda extension so the function can retrieve secrets locally instead of embedding custom caching code. AWS documentation states that the agent supports Lambda, caches secrets in memory, and lets you modify TTL and related cache behavior through a TOML configuration file, which matches the requirement to control caching without building a custom implementation.

NEW QUESTION # 151
......

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