AWS-CDA Certification Exam Syllabus

DVA-C02 Dumps Questions, DVA-C02 PDF, AWS-CDA Exam Questions PDF, AWS DVA-C02 Dumps Free, AWS-CDA Official Cert Guide PDF, AWS-CDA Dumps, AWS-CDA PDFThe AWS DVA-C02 exam preparation guide is designed to provide candidates with necessary information about the AWS-CDA exam. It includes exam summary, sample questions, practice test, objectives and ways to interpret the exam objectives to enable candidates to assess the types of questions-answers that may be asked during the AWS Certified Developer - Associate exam.

It is recommended for all the candidates to refer the DVA-C02 objectives and sample questions provided in this preparation guide. The AWS-CDA certification is mainly targeted to the candidates who want to build their career in Associate domain and demonstrate their expertise. We suggest you to use practice exam listed in this cert guide to get used to with exam environment and identify the knowledge areas where you need more work prior to taking the actual AWS Developer Associate exam.

AWS DVA-C02 Exam Summary:

Exam Name
AWS Developer Associate (AWS-CDA)
Exam Code DVA-C02
Exam Price $150 USD
Duration 130 minutes
Number of Questions 65
Passing Score 720 / 1000
Recommended Training / Books Developing on AWS
Schedule Exam AWS Certification
Sample Questions AWS DVA-C02 Sample Questions
Recommended Practice AWS Certified Developer - Associate Practice Test

AWS-CDA Syllabus:

Section Objectives

Development with AWS Services - 32%

Develop code for applications hosted on AWS. Knowledge of:
  • Architectural patterns (for example, event-driven, microservices, monolithic, choreography, orchestration, fanout)
  • Idempotency
  • Differences between stateful and stateless concepts
  • Differences between tightly coupled and loosely coupled components
  • Fault-tolerant design patterns (for example, retries with exponential backoff and jitter, dead-letter queues)
  • Differences between synchronous and asynchronous patterns

Skills in:

  • Creating fault-tolerant and resilient applications in a programming language (for example, Java, C#, Python, JavaScript, TypeScript, Go)
  • Creating, extending, and maintaining APIs (for example, response/request transformations, enforcing validation rules, overriding status codes)
  • Writing and running unit tests in development environments (for example, using AWS Serverless Application Model [AWS SAM])
  • Writing code to use messaging services
  • Writing code that interacts with AWS services by using APIs and AWS SDKs
  • Handling data streaming by using AWS services
Develop code for AWS Lambda. Knowledge of:
  • Event source mapping
  • Stateless applications
  • Unit testing
  • Event-driven architecture
  • Scalability
  • The access of private resources in VPCs from Lambda code
Skills in:
  • Configuring Lambda functions by defining environment variables and parameters (for example, memory, concurrency, timeout, runtime, handler, layers, extensions, triggers, destinations)
  • Handling the event lifecycle and errors by using code (for example, Lambda Destinations, dead-letter queues)
  • Writing and running test code by using AWS services and tools
  • Integrating Lambda functions with AWS services
  • Tuning Lambda functions for optimal performance
Use data stores in application development. Knowledge of:
  • Relational and non-relational databases
  • Create, read, update, and delete (CRUD) operations
  • High-cardinality partition keys for balanced partition access
  • Cloud storage options (for example, file, object, databases)
  • Database consistency models (for example, strongly consistent, eventually consistent)
  • Differences between query and scan operations
  • Amazon DynamoDB keys and indexing
  • Caching strategies (for example, write-through, read-through, lazy loading, TTL)
  • Amazon S3 tiers and lifecycle management
  • Differences between ephemeral and persistent data storage patterns
Skills in:
  • Serializing and deserializing data to provide persistence to a data store
  • Using, managing, and maintaining data stores
  • Managing data lifecycles
  • Using data caching services

Security - 26%

Implement authentication and/or authorization for applications and AWS services. Knowledge of:
  • Identity federation (for example, Security Assertion Markup Language [SAML], OpenID Connect [OIDC], Amazon Cognito)
  • Bearer tokens (for example, JSON Web Token [JWT], OAuth, AWS Security Token Service [AWS STS])
  • The comparison of user pools and identity pools in Amazon Cognito
  • Resource-based policies, service policies, and principal policies
  • Role-based access control (RBAC)
  • Application authorization that uses ACLs
  • The principle of least privilege
  • Differences between AWS managed policies and customer-managed policies
  • Identity and access management (IAM)

Skills in:

  • Using an identity provider to implement federated access (for example, Amazon Cognito, AWS Identity and Access Management [IAM])
  • Securing applications by using bearer tokens
  • Configuring programmatic access to AWS
  • Making authenticated calls to AWS services
  • Assuming an IAM role
  • Defining permissions for principals
Implement encryption by using AWS services.
Knowledge of:
  • Encryption at rest and in transit
  • Certificate management (for example, AWS Private Certificate Authority)
  • Key protection (for example, key rotation)
  • Differences between client-side encryption and server-side encryption
  • Differences between AWS managed and customer managed AWS Key Management Service (AWS KMS) keys
Skills in:
  • Using encryption keys to encrypt or decrypt data
  • Generating certificates and SSH keys for development purposes
  • Using encryption across account boundaries
  • Enabling and disabling key rotation
Manage sensitive data in application code.
Knowledge of:
  • Data classification (for example, personally identifiable information [PII], protected health information [PHI])
  • Environment variables
  • Secrets management (for example, AWS Secrets Manager, AWS Systems Manager Parameter Store)
  • Secure credential handling
Skills in:
  • Encrypting environment variables that contain sensitive data
  • Using secret management services to secure sensitive data
  • Sanitizing sensitive data

Deployment - 24%

Prepare application artifacts to be deployed to AWS.
Knowledge of:
  • Ways to access application configuration data (for example, AWS AppConfig, Secrets Manager, Parameter Store)
  • Lambda deployment packaging, layers, and configuration options
  • Git-based version control tools (for example, Git, AWS CodeCommit)
  • Container images
Skills in:
  • Managing the dependencies of the code module (for example, environment variables, configuration files, container images) within the package
  • Organizing files and a directory structure for application deployment
  • Using code repositories in deployment environments
  • Applying application requirements for resources (for example, memory, cores)
Test applications in development environments.
Knowledge of:
  • Features in AWS services that perform application deployment
  • Integration testing that uses mock endpoints
  • Lambda versions and aliases
Skills in:
  • Testing deployed code by using AWS services and tools
  • Performing mock integration for APIs and resolving integration dependencies
  • Testing applications by using development endpoints (for example, configuring stages in Amazon API Gateway)
  • Deploying application stack updates to existing environments (for example, deploying an AWS SAM template to a different staging environment)
Automate deployment testing.
Knowledge of:
  • API Gateway stages
  • Branches and actions in the continuous integration and continuous delivery (CI/CD) workflow
  • Automated software testing (for example, unit testing, mock testing)
Skills in:
  • Creating application test events (for example, JSON payloads for testing Lambda, API Gateway, AWS SAM resources)
  • Deploying API resources to various environments
  • Creating application environments that use approved versions for integration testing (for example, Lambda aliases, container image tags, AWS Amplify branches, AWS Copilot environments)
  • Implementing and deploying infrastructure as code (IaC) templates (for example, AWS SAM templates, AWS CloudFormation templates)
  • Managing environments in individual AWS services (for example, differentiating between development, test, and production in API Gateway)
Deploy code by using AWS CI/CD services.
Knowledge of:
  • Git-based version control tools (for example, Git, AWS CodeCommit)
  • Manual and automated approvals in AWS CodePipeline
  • Access application configurations from AWS AppConfig and Secrets Manager
  • CI/CD workflows that use AWS services
  • Application deployment that uses AWS services and tools (for example, CloudFormation, AWS Cloud Development Kit [AWS CDK], AWS SAM, AWS CodeArtifact, AWS Copilot, Amplify, Lambda)
  • Lambda deployment packaging options
  • API Gateway stages and custom domains
  • Deployment strategies (for example, canary, blue/green, rolling)
Skills in:
  • Updating existing IaC templates (for example, AWS SAM templates, CloudFormation templates)
  • Managing application environments by using AWS services
  • Deploying an application version by using deployment strategies
  • Committing code to a repository to invoke build, test, and deployment actions
  • Using orchestrated workflows to deploy code to different environments
  • Performing application rollbacks by using existing deployment strategies
  • Using labels and branches for version and release management
  • Using existing runtime configurations to create dynamic deployments (for example, using staging variables from API Gateway in Lambda functions)

Troubleshooting and Optimization - 18%

Assist in a root cause analysis.
Knowledge of:
  • Logging and monitoring systems
  • Languages for log queries (for example, Amazon CloudWatch Logs Insights)
  • Data visualizations
  • Code analysis tools
  • Common HTTP error codes
  • Common exceptions generated by SDKs
  • Service maps in AWS X-Ray
Skills in:
  • Debugging code to identify defects
  • Interpreting application metrics, logs, and traces
  • Querying logs to find relevant data
  • Implementing custom metrics (for example, CloudWatch embedded metric format [EMF])
  • Reviewing application health by using dashboards and insights
  • Troubleshooting deployment failures by using service output logs
Instrument code for observability.
Knowledge of:
  • Distributed tracing
  • Differences between logging, monitoring, and observability
  • Structured logging
  • Application metrics (for example, custom, embedded, built-in)
Skills in:
  • Implementing an effective logging strategy to record application behavior and state
  • Implementing code that emits custom metrics
  • Adding annotations for tracing services
  • Implementing notification alerts for specific actions (for example, notifications about quota limits or deployment completions)
  • Implementing tracing by using AWS services and tools
Optimize applications by using AWS services and features.
Knowledge of:
  • Caching
  • Concurrency
  • Messaging services (for example, Amazon Simple Queue Service [Amazon SQS], Amazon Simple Notification Service [Amazon SNS])
Skills in:
  • Profiling application performance
  • Determining minimum memory and compute power for an application
  • Using subscription filter policies to optimize messaging
  • Caching content based on request headers


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