AWS Certified Developer Associate Practice Exam (DVA-C02)

AWS Certified Developer Associate (DVA-C02)


About AWS Developer Associate Exam (DVA-C02)

The AWS Developer Associate (DVA-C02) exam is suitable for candidates responsible to perform developer role. The AWS Developer Associate evaluates your skills and knowledge to demonstrate expertise in developing, testing, deploying, and debugging AWS cloud-based applications.


Skills Evaluated

The AWS Developer Associate exam examines the candidate’s ability to perform the following tasks -

  • Develop and optimize applications on AWS
  • Package and deploy by using continuous integration and continuous delivery (CI/CD) workflows
  • Secure application code and data
  • Identify and resolve application issues 


Knowledge Acquired

The AWS Developer Associate Exam evaluates a candidates ability to -

  • Demonstrate understanding of core AWS services and uses
  • Understanding of basic AWS architecture best practices
  • Demonstrate their proficiency in developing, deploying, and debugging cloud-based applications using AWS. 


Recommended Knowledge 

The candidate planning to take the AWS Developer Associate Exam should have the following skills set - 

  • Expertise in at least one high-level programming language
  • Knowledge of application lifecycle management
  • Understanding of cloud-native applications to write code
  • Skills to develop functional applications
  • Expertise in using development tools
  • Ability to develop and secure applications by using AWS service APIs, the AWS CLI, and SDKs
  • Ability to use a CI/CD pipeline to deploy applications on AWS


AWS Certified Developer Associate Course Outline

The AWS Developer Associate Exam evaluates skills of he candidates based on given topics - 

Module 1: Understanding the Development with AWS Services

1.1 Learn the skills to Develop code for applications hosted on AWS.

Candidate should have the -

  • Knowledge of Architectural patterns (for example, event-driven, microservices, monolithic, choreography, orchestration, fanout)
  • Idempotency
  • Understanding differences between stateful and stateless concepts
  • Understanding differences between tightly coupled and loosely coupled components
  • Understanding Fault-tolerant design patterns 
  • Understanding differences between synchronous and asynchronous patterns

Skills Required 

  • Create a fault-tolerant and resilient applications in a programming language (Java, C#, Python, JavaScript, TypeScript, Go)
  • Create extending, and maintaining APIs (response/request transformations, enforcing validation rules, overriding status codes)
  • Ability to write and run unit tests in development environments (for example, using AWS Serverless Application Model [AWS SAM])
  • Ability to write code to use messaging services
  • Ability to write code that interacts with AWS services by using APIs and AWS SDKs
  • Ability to handle data streaming by using AWS services

1.2 Learn to Develop code for AWS Lambda.

Candidate should have the -

  • Knowledge of Event source mapping
  • Knowledge of Stateless applications
  • Knowledge of Unit testing
  • Knowledge of Event-driven architecture
  • Knowledge of Scalability
  • Knowledge of access of private resources in VPCs from Lambda code

Skills Required

  • Ability to configure Lambda functions by defining environment variables and parameters (memory, concurrency, timeout, runtime, handler, layers, extensions, triggers, destinations)
  • Ability to handle the event lifecycle and errors by using code (Lambda Destinations, dead-letter queues)
  • Ability to write and run test code by using AWS services and tools
  • Ability to integrate Lambda functions with AWS services
  • Ability to  tune Lambda functions for optimal performance


1.3 Learn to use data stores in application development.

Candidate should have the -

  • Knowledge of Relational and non-relational databases
  • Ability to create, read, update, and delete (CRUD) operations
  • Knowledge of High-cardinality partition keys for balanced partition access
  • Knowledge of Cloud storage options (file, object, databases)
  • Knowledge of Database consistency models (strongly consistent, eventually consistent)
  • Understanding of the Differences between query and scan operations
  • Knowledge of Amazon DynamoDB keys and indexing
  • Knowledge of Caching strategies (write-through, read-through, lazy loading, TTL)
  • Knowledge of Amazon S3 tiers and lifecycle management
  • Understanding differences between ephemeral and persistent data storage patterns

Skills Required

  • Ability of Serializing and deserializing data to provide persistence to a data store
  • Ability of using, managing, and maintaining data stores
  • Ability of managing data lifecycles
  • Ability of using data caching services


Module 2: Understanding the concept of Security

2.1 Implement authentication and/or authorization for applications and AWS services.

Candidate should have the -

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

Skills Required

  • Ability to use an identity provider to implement federated access (for example, Amazon Cognito, AWS Identity and Access Management [IAM])
  • Ability to secure applications by using bearer tokens
  • Ability to configure programmatic access to AWS
  • Ability to make authenticated calls to AWS services
  • Ability to assume an IAM role
  • Ability to define permissions for principals

2.2 Implement encryption by using AWS services.

Candidate should have the -

  • Knowledge of encryption at rest and in transit
  • Knowledge of Certificate management (AWS Certificate Manager Private Certificate Authority)
  • Knowledge of Key protection (for example, key rotation)
  • Understanding the differences between client-side encryption and server-side encryption
  • Understanding the differences between AWS managed and customer-managed AWS Key Management Service (AWS KMS) keys

Skills Required

  • Ability to use encryption keys to encrypt or decrypt data
  • Ability to generate certificates and SSH keys for development purposes
  • Ability to use encryption across account boundaries
  • Ability to enable and disable key rotation

2.3: Manage sensitive data in application code.

Candidate should have the -

  • Data classification (personally identifiable information [PII], protected health information [PHI])
  • Environment variables
  • Secrets management (AWS Secrets Manager, AWS Systems Manager Parameter Store)
  • Secure credential handling

Skills Required

  • Encrypting environment variables that contain sensitive data
  • Using secret management services to secure sensitive data
  • Sanitizing sensitive data


Module 3: Understanding Deployment

3.1 Prepare application artifacts to be deployed to AWS

Candidate should have the -

  • 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 required

  • 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)


3.2 Test applications in development environments.

Candidate should have the -

  • Features in AWS services that perform application deployment
  • Integration testing that uses mock endpoints
  • Lambda versions and aliases

Skills Required

  • 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)


3.3 Automate deployment testing.

Candidate should have the -

  • 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 Required

  • 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)


3.4 Deploy code by using AWS CI/CD services.

Candidate should have the -

  • 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, Copilot, Amplify, Lambda)
  • Lambda deployment packaging options
  • API Gateway stages and custom domains
  • Deployment strategies (for example, canary, blue/green, rolling)

Skills Required

  • 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)


Module 4 - Understanding Troubleshooting and Optimization

4.1 Assist in a root cause analysis

Candidate should have the -

  • 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 Required

  • 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

4.2 Instrument code for observability

Candidate should have the -

  • Distributed tracing
  • Differences between logging, monitoring, and observability
  • Structured logging
  • Application metrics (for example, custom, embedded, built-in)

Skills Required

  • 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


4.3 Optimize applications by using AWS services and features

Candidate should have the -

  • Caching
  • Concurrency
  • Messaging services (for example, Amazon Simple Queue Service [Amazon SQS], Amazon Simple Notification Service [Amazon SNS])

Skills Required

  • 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




AWS Certified Developer Associate Eligibility Requirement

There are no prerequisites for taking the Developer-Associate examination


What do we offer?

  • Full-Length Mock Test with unique questions in each test set
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  • Practice exam questions have been created on the basis of content outlined in the official documentation.
  • Each set in the practice exam contains unique questions built with the intent to provide real-time experience to the candidates as well as gain more confidence during exam preparation.
  • Practice exams help to self-evaluate against the exam content and work towards building strength to clear the exam.
  • You can also create your own practice exam based on your choice and preference 


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