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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Troubleshooting and Optimization	18%	- Monitoring and logging 1. Amazon CloudWatch metrics and logs - Performance optimization 1. Application performance tuning 2. Fault tolerance and resilience patterns
Deployment	24%	- Infrastructure as code 1. AWS CloudFormation templates - CI/CD and deployment strategies 1. AWS CodeBuild and CodeDeploy usage 2. AWS CodePipeline workflows
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
Security	26%	- Application authentication and authorization 1. Cognito user authentication 2. IAM roles and policies - Data security 1. Encryption using AWS KMS 2. Secure API access patterns

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Amazon AWS Certified Developer - Associate Sample Questions (Q525-Q530):

NEW QUESTION # 525
A company runs its website on AWS. The company posts daily polls on its website and publishes the poll results next day. The website stores user responses in an Amazon DynamoDB table.
After the poll results are published, the company does not need to keep the user responses.
A developer needs to implement a solution that will automatically remove old user responses from the DynamoDB table. The developer adds a new expiration_date attribute to the DynamoDB table. The developer plans to use the expiration_date attribute for the automation.
Which solution will meet these requirements with the LEAST development effort?

A. Enable TTL on the DynamoDB table and specify the expiration_date attribute. Expire old user responses by using DynamoDB TTL.
B. Create an AWS Glue job to delete old user responses based on the expiration_date attribute.
Create an AWS Glue trigger schedule to run the job daily.
C. Create an AWS Fargate task in Amazon Elastic Container Service (Amazon ECS) to delete old user responses based on the expiration_date attribute. Create an Amazon EventBridge schedule to run the Fargate task daily.
D. Create an AWS Lambda function to delete old user responses based on the expiration_date attribute. Create an Amazon EventBridge schedule to run the Lambda function daily.

Answer: A

NEW QUESTION # 526
A developer needs to deploy an application running on AWS Fargate using Amazon ECS The application has environment variables that must be passed to a container for the application to initialize.
How should the environment variables be passed to the container?

A. Define an array that includes the environment variables under the environment parameter within the service definition.
B. Define an array that includes the environment variables under the environment parameter within the task definition.
C. Define an array that includes the environment variables under the entryPoint parameter within the task definition.
D. Define an array that includes the environment variables under the entryPoint parameter within the service definition.

Answer: B

Explanation:
This solution allows the environment variables to be passed to the container when it is launched by AWS Fargate using Amazon ECS. The task definition is a text file that describes one or more containers that form an application. It contains various parameters for configuring the containers, such as CPU and memory requirements, network mode, and environment variables. The environment parameter is an array of key-value pairs that specify environment variables to pass to a container. Defining an array that includes the environment variables under the entryPoint parameter within the task definition will not pass them to the container, but use them as command-line arguments for overriding the default entry point of a container.
Defining an array that includes the environment variables under the environment or entryPoint parameter within the service definition will not pass them to the container, but cause an error because these parameters are not valid for a service definition.

NEW QUESTION # 527
A healthcare company is developing a multi-tier web application to manage patient records that are in an Amazon Aurora PostgreSQL database cluster. The company stores the application code in a Git repository and deploys the code to Amazon EC2 instances. The application must comply with security policies and follow the principle of least privilege. The company must securely manage database credentials and API keys within the application code. The company must have the ability to rotate encryption keys on demand.
Which solution will meet these requirements?

A. Store the database credentials and API keys in AWS Secrets Manager. Use customer managed AWS KMS keys. Set up automatic key rotation. Create a key policy in the application to retrieve secrets by using the AWS SDK.
B. Store the database credentials in the application code. Separate credentials by using environment- specific branches that have restricted access to the code repositories.
C. Store the database credentials and API keys as parameters in AWS Systems Manager Parameter Store. Encrypt the credentials and API keys with AWS managed AWS KMS keys. Use the AWS SDK to retrieve secrets.
D. Store database credentials and API keys in AWS Secrets Manager. Use AWS managed AWS KMS keys. Set up automatic key rotation. Use the AWS SDK to retrieve secrets.

Answer: D

NEW QUESTION # 528
A developer is building an application that stores objects in an Amazon S3 bucket. The bucket does not have versioning enabled. The objects are accessed rarely after 1 week. However, the objects must be immediately available at all times.
The developer wants to optimize storage costs for the S3 bucket.
Which solution will meet this requirement?

A. Create an S3 Lifecycle rule to delete objects that have delete markers.
B. Create an S3 Lifecycle rule to expire objects after 7 days.
C. Create an S3 Lifecycle rule to transition objects to S3 Standard-Infrequent Access (S3 Standard-IA) after 7 days.
D. Create an S3 Lifecycle rule to transition objects to S3 Glacier Flexible Retrieval after 7 days.

Answer: C

Explanation:
The objects are "rarely accessed after 1 week" but must remain immediately available at all times. That means the storage class must support millisecond access without a restore process. S3 Standard-Infrequent Access (Standard-IA) is designed for exactly this: lower storage cost than S3 Standard, while still providing rapid access when needed.
With option B, an S3 Lifecycle rule transitions objects from S3 Standard to S3 Standard-IA after 7 days. This aligns perfectly with the usage pattern: frequent access initially, then infrequent access after a week, while keeping immediate availability.
Option C (S3 Glacier Flexible Retrieval) is not appropriate because Glacier classes are archival. Access typically requires a restore operation and retrieval time (minutes to hours), which violates "immediately available at all times." Option A expires objects, which deletes them after 7 days-this contradicts the requirement to keep objects available.
Option D is irrelevant because delete markers exist only when versioning is enabled. The bucket does not have versioning enabled, so this rule would not help.
Therefore, transitioning to S3 Standard-IA after 7 days is the correct cost-optimized solution while maintaining immediate availability.

NEW QUESTION # 529
A company has an AWS Step Functions state machine named myStateMachine. The company configured a service role for Step Functions. The developer must ensure that only the myStateMachine state machine can assume the service role.
Which statement should the developer add to the trust policy to meet this requirement?

A. "Condition": { "StringNotEquals": { "aws:SourceArn":"arn:aws:states:ap-south-1:111111111111:
stateMachine:myStateMachine" } }
B. "Condition": { "ArnLike": { "aws:SourceArn":"urn:aws:states:ap-south-1:111111111111:stateMachine:
myStateMachine" } }
C. "Condition": { "StringEquals": { "aws:SourceAccount": "111111111111" } }
D. "Condition": { "ArnLike": { "aws:SourceArn":"arn:aws:states:ap-south-1:*:stateMachine:
myStateMachine" } }

Answer: B

Explanation:
Comprehensive Detailed Explanation with all AWS References
* Why Option A is Correct:
* The ArnLike condition with the specific ARN for myStateMachine ensures that only this state machine can assume the role. The format urn:aws:states is correct for specifying Step Functions resources.
* Why Other Options are Incorrect:
* Option B: Wildcards (*) in the ARN allow more resources to assume the role, which violates the requirement.
* Option C: This condition restricts the account but not the specific state machine.
* Option D: A StringNotEquals condition is used to deny specific values, which does not ensure exclusivity for the desired state machine.
* AWS Documentation References:
* IAM Trust Policies for Step Functions

NEW QUESTION # 530
......

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