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Amazon DVA-C01 Exam Syllabus

Amazon DVA-C01 Exam

AWS Certified Developer - Associate

Total Questions: 537

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Amazon DVA-C01 Exam Overview :

Exam Name AWS Certified Developer - Associate
Exam Code DVA-C01
Actual Exam Duration 80 minutes
Expected no. of Questions in Actual Exam 60
Official Information https://aws.amazon.com/certification/certified-developer-associate/?ch=sec&sec=rmg&d=1
See Expected Questions Amazon DVA-C01 Expected Questions in Actual Exam
Take Self-Assessment Use Amazon DVA-C01 Practice Test to Assess your preparation - Save Time and Reduce Chances of Failure

Amazon DVA-C01 Exam Topics :

Section Weight Objectives
Domain 1: Deployment 22% 1.1  Deploy written code in AWS using existing CI/CD pipelines, processes, and patterns.
  • Commit code to a repository and invoke build, test and/or deployment actions
  • Use labels and branches for version and release management
  • Use AWS CodePipeline to orchestrate workflows against different environments
  • Apply AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, AWS CodeStar, and AWS CodeDeploy for CI/CD purposes
  • Perform a roll back plan based on application deployment policy
1.2  Deploy applications using AWS Elastic Beanstalk.  
  • Utilize existing supported environments to define a new application stack
  • Package the application
  • Introduce a new application version into the Elastic Beanstalk environment
  • Utilize a deployment policy to deploy an application version (i.e., all at once, rolling, rolling with batch, immutable)
  • Validate application health using Elastic Beanstalk dashboard
  • Use Amazon CloudWatch Logs to instrument application logging
1.3  Prepare the application deployment package to be deployed to AWS.  
  • Manage the dependencies of the code module (like environment variables, config files and static image files) within the package
  • Outline the package/container directory structure and organize files appropriately
  • Translate application resource requirements to AWS infrastructure parameters (e.g., memory, cores)
1.4 Deploy serverless applications.  
  • Given a use case, implement and launch an AWS Serverless Application Model (AWS SAM) template
  • Manage environments in individual AWS services (e.g., Differentiate between Development,Test, and Production in Amazon API Gateway)
Domain 2: Security 26% 2.1 Make authenticated calls to AWS services.  
  • Communicate required policy based on least privileges required by application.
  • Assume an IAM role to access a service
  • Use the software development kit (SDK) credential provider on-premises or in the cloud to access AWS services (local credentials vs. instance roles)

2.2 Implement encryption using AWS services.  
  • Encrypt data at rest (client side; server side; envelope encryption) using AWS services
  • Encrypt data in transit

2.3 Implement application authentication and authorization.
  • Add user sign-up and sign-in functionality for applications with Amazon Cognito identity or user pools
  • Use Amazon Cognito-provided credentials to write code that access AWS services.
  • Use Amazon Cognito sync to synchronize user profiles and data
  • Use developer-authenticated identities to interact between end user devices, backend authentication, and Amazon Cognito
Domain 3: Development with AWS Services 30% 3.1 Write code for serverless applications.
  • Compare and contrast server-based vs. serverless model (e.g., micro services, stateless nature of serverless applications, scaling serverless applications, and decoupling layers of serverless applications)
  • Configure AWS Lambda functions by defining environment variables and parameters (e.g., memory, time out, runtime, handler)
  • Create an API endpoint using Amazon API Gateway
  • Create and test appropriate API actions like GET, POST using the API endpoint
  • Apply Amazon DynamoDB concepts (e.g., tables, items, and attributes)
  • Compute read/write capacity units for Amazon DynamoDB based on application requirements
  • Associate an AWS Lambda function with an AWS event source (e.g., Amazon API Gateway, Amazon CloudWatch event, Amazon S3 events, Amazon Kinesis)
  • Invoke an AWS Lambda function synchronously and asynchronously

3.2 Translate functional requirements into application design.
  • Determine real-time vs. batch processing for a given use case
  • Determine use of synchronous vs. asynchronous for a given use case
  • Determine use of event vs. schedule/poll for a given use case
  • Account for tradeoffs for consistency models in an application design

3.3 Implement application design into application code.
  • Write code to utilize messaging services (e.g., SQS, SNS)
  • Use Amazon ElastiCache to create a database cache
  • Use Amazon DynamoDB to index objects in Amazon S3
  • Write a stateless AWS Lambda function
  • Write a web application with stateless web servers (Externalize state)

3.4 Write code that interacts with AWS services by using APIs, SDKs, and AWS CLI.
  • Choose the appropriate APIs, software development kits (SDKs), and CLI commands for the code components
  • Write resilient code that deals with failures or exceptions (i.e., retries with exponential back off and jitter)
Domain 4: Refactoring 10% 4.1 Optimize applications to best use AWS services and features.
  • Implement AWS caching services to optimize performance (e.g., Amazon ElastiCache, Amazon API Gateway cache)
  • Apply an Amazon S3 naming scheme for optimal read performance

4.2 Migrate existing application code to run on AWS.
  • Isolate dependencies
  • Run the application as one or more stateless processes
  • Develop in order to enable horizontal scalability
  • Externalize state
Domain 5: Monitoring and Troubleshooting 12% 5.1 Write code that can be monitored.
  • Create custom Amazon CloudWatch metrics
  • Perform logging in a manner available to systems operators
  • Instrument application source code to enable tracing in AWS X-Ray

5.2 Perform root cause analysis on faults found in testing or production.
  • Interpret the outputs from the logging mechanism in AWS to identify errors in logs
  • Check build and testing history in AWS services (e.g., AWS CodeBuild, AWS CodeDeploy, AWS CodePipeline) to identify issues
  • Utilize AWS services (e.g., Amazon CloudWatch, VPC Flow Logs, and AWS X-Ray) to locate a specific faulty component

Updates in the Amazon DVA-C01 Exam Syllabus:

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