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Amazon DVA-C02 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Development with AWS Services32%- Use data stores in application development
  • 1. Amazon RDS
  • 2. Amazon ElastiCache
  • 3. Amazon DynamoDB
  • 4. Amazon EFS
  • 5. Amazon S3
- Develop code for AWS serverless applications
  • 1. Amazon API Gateway
  • 2. AWS AppSync
  • 3. Amazon EventBridge
  • 4. AWS Step Functions
- Develop code for applications hosted on AWS
  • 1. AWS Lambda
  • 2. Amazon API Gateway
  • 3. Amazon Cognito
  • 4. AWS SDKs
  • 5. AWS CloudFormation
  • 6. Amazon SNS
  • 7. AWS CLI
  • 8. Amazon DynamoDB
  • 9. Amazon SQS
  • 10. Amazon S3
Topic 2: Security26%- Implement encryption by using AWS services
  • 1. AWS KMS
  • 2. AWS Secrets Manager
  • 3. AWS Certificate Manager
  • 4. AWS CloudHSM
  • 5. Amazon S3 encryption
- Manage sensitive data in application code
  • 1. AWS Secrets Manager
  • 2. AWS Systems Manager Parameter Store
  • 3. Environment variables
  • 4. Encryption of data at rest and in transit
- Implement authentication and/or authorization for applications and AWS services
  • 1. Identity federation (SAML, OpenID Connect, Amazon Cognito)
  • 2. User pools and identity pools in Amazon Cognito
  • 3. Resource-based policies, service policies, and principal policies
  • 4. Bearer tokens (JWT, OAuth, AWS STS)
  • 5. Role-based access control (RBAC)
Topic 3: Troubleshooting and Optimization18%- Optimize applications by using AWS services and features
  • 1. Concurrency and throttling
  • 2. Caching strategies (ElastiCache, CloudFront)
  • 3. Memory and compute optimization
  • 4. Data storage optimization
  • 5. Cost optimization
- Instrument code for observability
  • 1. Amazon CloudWatch alarms
  • 2. Structured logging
  • 3. Custom metrics
  • 4. AWS X-Ray
  • 5. Amazon CloudWatch metrics
- Assist in a root cause analysis
  • 1. Application logging
  • 2. Error handling and retries
  • 3. Amazon CloudWatch Logs
  • 4. AWS X-Ray
  • 5. AWS CloudTrail
Topic 4: Deployment24%- Deploy code by using AWS CI/CD services
  • 1. AWS CodePipeline
  • 2. AWS CodeBuild
  • 3. GitHub integration
  • 4. Blue/green deployments
  • 5. Rolling deployments
  • 6. Canary deployments
  • 7. AWS CodeCommit
  • 8. AWS CodeDeploy
- Automate deployment testing
  • 1. AWS CodePipeline
  • 2. AWS CodeBuild
  • 3. AWS CodeCommit
  • 4. AWS CodeDeploy
- Test applications in development environments
  • 1. Local testing of Lambda functions
  • 2. Mocking AWS services
  • 3. AWS SAM local
- Prepare application artifacts to be deployed to AWS
  • 1. Lambda deployment packages
  • 2. AWS CDK
  • 3. AWS CloudFormation
  • 4. Docker containers
  • 5. AWS SAM

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Amazon AWS Certified Developer - Associate Sample Questions (Q320-Q325):

NEW QUESTION # 320
A developer 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?

Answer: C

Explanation:
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/parameters-section- structure.html Parameters:
InstanceTypeParameter:
Type: String
Default: t2.micro
AllowedValues:
- t2.micro
- m1.small
- m1.large
Description: Enter t2.micro, m1.small, or m1.large. Default is t2.micro.


NEW QUESTION # 321
A developer is optimizing an AWS Lambda function and wants to test the changes in production on a small percentage of all traffic. The Lambda function serves requests to a REST API in Amazon API Gateway. The developer needs to deploy their changes and perform a test in production without changing the API Gateway URL.
Which solution will meet these requirements?

Answer: A

Explanation:
* A Lambda alias is a pointer to a specific Lambda function version or another alias1. A Lambda alias allows you to invoke different versions of a function using the same name1. You can also split traffic between two aliases by assigning weights to them1.
* In this scenario, the developer needs to test their changes in production on a small percentage of all traffic without changing the API Gateway URL. To achieve this, the developer can follow these steps:
* Define an alias on the $LATEST version of the Lambda function. This will create a new alias that points to the latest code of the function.
* Update the API Gateway endpoint to reference the new Lambda function alias. This will make the API Gateway invoke the alias instead of a specific version of the function.
* Upload and publish the optimized Lambda function code. This will update the $LATEST version of the function with the new code.
* On the production API Gateway stage, define a canary release and set the percentage of traffic to direct to the canary release. This will enable API Gateway to perform a canary deployment on a new API2. A canary deployment is a software development strategy in which a new version of an API is deployed for testing purposes, and the base version remains deployed as a production release for normal operations on the same stage2. The canary release receives a small percentage of API traffic and the production release takes up the rest2.
* Update the API Gateway endpoint to use the $LATEST version of the Lambda function. This will
* make the canary release invoke the latest code of the function, which contains the optimized changes.
* Publish to the canary stage. This will deploy the changes to a subset of users for testing.
* By using this solution, the developer can test their changes in production on a small percentage of all traffic without changing the API Gateway URL. The developer can also monitor and compare metrics between the canary and production releases, and promote or disable the canary as needed2.


NEW QUESTION # 322
A company 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?

Answer: D


NEW QUESTION # 323
A developer is creating an application that will be deployed on IoT devices. The application will send data to a RESTful API that is deployed as an AWS Lambda function. The application will assign each API request a unique identifier. The volume of API requests from the application can randomly increase at any given time of day.
During periods of request throttling, the application might need to retry requests. The API must be able to handle duplicate requests without inconsistencies or data loss.
Which solution will meet these requirements?

Answer: B

Explanation:
Amazon DynamoDB is a fully managed NoSQL database service that can store and retrieve any amount of data with high availability and performance. DynamoDB can handle concurrent requests from multiple IoT devices without throttling or data loss. To prevent duplicate requests from causing inconsistencies or data loss, the Lambda function can use DynamoDB conditional writes to check if the unique identifier for each request already exists in the table before processing the request. If the identifier exists, the function can skip or abort the request; otherwise, it can process the request and store the identifier in the table. Reference: Using conditional writes


NEW QUESTION # 324
A company's AWS environment includes Amazon S3 buckets, Amazon EC2 instances, and AWS Lambda functions. A developer needs to systematically analyze IAM policies and the AWS resources in the environment. The developer also must generate recommendations about how to tighten permissions that are identified as overly permissive. Which action will meet these requirements with the LEAST operational overhead?

Answer: C

Explanation:
IAM Access Analyzer evaluates IAM policies and analyzes actual access paths to AWS resources, identifying permissions that allow unintended or overly broad access. It also provides actionable findings and recommendations to help tighten permissions, all with minimal setup and operational overhead.


NEW QUESTION # 325
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