AWS Developer Associate DVA-C02 Certification Training | Emigo

AWS Certified Developer – Associate DVA-C02

AWS DVA-C02 (AWS Certified Developer - Associate) certification validates technical expertise in developing and maintaining applications on AWS. It demonstrates proficiency in designing, developing, a

AWS Certified Developer – Associate DVA-C02 Training and certification

AWS DVA-C02 (AWS Certified Developer - Associate) certification validates technical expertise in developing and maintaining applications on AWS. It demonstrates proficiency in designing, developing, and deploying cloud-based solutions using AWS technologies.

Course Overview

Emigo Networks offers specialized training for the AWS Certified Developer – Associate (DVA-C02), designed for individuals seeking to master application development on the AWS platform. This course emphasizes core AWS services, application lifecycle management, security, and best practices in cloud-native development. Whether you're a software developer or a DevOps engineer, this training equips you with the skills needed to develop, deploy, and debug cloud-based applications efficiently using AWS tools and services.

Emigo Networks presents an intensive AWS Certified Developer – Associate (DVA C02) training course tailored for developers building and deploying cloud-native applications on AWS. Gain hands-on experience with services like AWS Lambda, API Gateway, DynamoDB, ECS, and S3, while mastering CI/CD pipelines, application optimization, and troubleshooting strategies. Designed to align with AWS exam domains, this practical training ensures you’re ready for both certification and real-world development needs.

What You'll Learn

  • Development with AWS Services (32%) – Build resilient applications using AWS Lambda, API Gateway, DynamoDB, S3, messaging (SQS/SNS), and serverless patterns such as event-driven architecture, retries, idempotency, and error handling
  • Security (26%) – Implement IAM roles and policies, secure data in transit and at rest (KMS, encryption), use identity federation, and secure application access 
  • Deployment (24%) – Automate CI/CD pipelines using AWS CodePipeline, CodeBuild, CodeDeploy, manage application artifacts, and release strategies such as blue/green or rolling deployment 
  • Troubleshooting & Optimization (18%) – Identify performance bottlenecks, debug using CloudWatch, X-Ray, CI/CD logs, and optimize resource usage and cost efficiency

Syllabus Summary

Content Domain 1: Development with AWS Services

Task 1: 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 

Task 2: 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 

Task 3: 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 Simple Storage Service (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

Content Domain 2: Security

Task 1: 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 

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 

Task 2: 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 

Task 3: 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

Content Domain 3: Deployment

 Task 1: 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) 

• 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)

Task 2: 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)


Task 3: 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)


Task 4: Deploy code by using AWS CI/CD services. 

Knowledge of: 

• Git-based version control tools (for example, Git) 

• 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)

Content Domain 4: Troubleshooting and Optimization

Task 1: 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 


Task 2: 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

Task 3: 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


Pre-requisites

  • While there are no formal prerequisites to take the exam, AWS recommends candidates have one or more years of hands on experience developing and maintaining applications on AWS. 
  • Proficiency in at least one high level programming language (such as Python, Java, C#, or JavaScript) to interact with AWS SDKs and APIs. 
  • Working knowledge of core AWS services—such as Lambda, S3, DynamoDB, API Gateway, IAM, CLI/SDK usage—for building, deploying, and securing cloud-native applications. 
  • Familiarity with application development lifecycle, CI/CD pipelines, and best practices for security and deployment automation.

Required Exams

  • Exam Code: DVA-C02
  • Duration: Around 130 minutes
  • Exam Cost: $150 USD (Check AWS website for current pricing)

Who Should Attend

  • Software Developers with at least one year of hands-on experience in developing and deploying cloud-based applications using AWS
  • Cloud Developers aiming to build, secure, and troubleshoot AWS-native applications
  • DevOps Engineers looking to enhance their development and automation skills using AWS services
  • Full Stack Developers working with serverless or microservices architecture in cloud environments
  • IT Professionals or System Engineers transitioning into cloud development roles
  • Candidates preparing for DVA-C02 Certification to validate their ability to develop secure, scalable, and reliable applications on AWS

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