1.
Domain 1: Development with AWS Services
1.1
Develop code for applications hosted on AWS
1.1.1 Architectural Patterns
1.1.2 Stateful vs Stateless
1.1.3 Tightly vs Loosely Coupled
1.1.4 Synchronous vs Asynchronous
1.1.5 Fault-Tolerant & Resilient Applications
1.1.6 Create, Extend, and Maintain APIs
1.1.7 Write and Run Unit Tests
1.1.8 Messaging Services
1.1.9 AWS SDKs & APIs
1.1.10 Streaming Data
1.1.11 Amazon Q Developer
1.1.12 Amazon EventBridge
1.1.13 Resilient Third-Party Integrations
1.1.14 AWS AppSync
1.2
Develop code for AWS Lambda
1.2.1 Lambda trong VPC
1.2.2 Lambda Configuration
1.2.3 Event Lifecycle & Error Handling
1.2.4 Write and Run Test Code
1.2.5 Integrate Lambda with AWS Services
1.2.6 Lambda Performance Tuning
1.2.7 Real-Time Data Processing
1.3
Use data stores in application development
1.3.1 High-Cardinality Partition Keys
1.3.2 Database Consistency Models
1.3.3 Query vs Scan
1.3.4 DynamoDB Keys & Indexing
1.3.5 Serialize & Deserialize Data
1.3.6 Use, Manage, and Maintain Data Stores
1.3.7 Manage Data Lifecycles
1.3.8 Data Caching Services
1.3.9 Specialized Data Stores
1.3.10 Storage Services (S3, EBS, EFS)
1.4
Hands-on Labs
Lab 1.1: API Gateway + Lambda REST API
Lab 1.2: Lambda trong VPC + DynamoDB
Lab 1.3: SQS + SNS Fan-out Pattern
Lab 1.4: EventBridge Event-Driven Architecture
Lab 1.5: DynamoDB GSI/LSI + Query vs Scan
Lab 1.6: ElastiCache Redis Session Store
Lab 1.7: Kinesis Data Streams + Lambda
1.5
Practice Questions
2.
Domain 2: Security
2.1
Authentication & Authorization
2.1.1 Federated Access (Cognito)
2.1.2 Bearer Tokens
2.1.3 Programmatic Access to AWS
2.1.4 Authenticated Calls to AWS Services
2.1.5 Assume an IAM Role
2.1.6 Define Permissions for IAM Principals
2.1.7 Application-Level Authorization
2.1.8 Cross-Service Authentication in Microservices
2.2
Encryption
2.2.1 Encryption at Rest and in Transit
2.2.2 Certificate Management
2.2.3 Client-side vs Server-side Encryption
2.2.4 KMS Encryption Keys
2.2.5 Generate Certificates and SSH Keys
2.2.6 Encryption Across Account Boundaries
2.2.7 Key Rotation
2.3
Sensitive Data Management
2.3.1 Data Classification
2.3.2 Encrypt Environment Variables
2.3.3 Secret Management Services
2.3.4 Sanitize Sensitive Data
2.3.5 Data Masking and Sanitization
2.3.6 Multi-Tenant Data Access Patterns
2.4
Hands-on Labs
Lab 2.1: Cognito User Pool
Lab 2.2: IAM Roles + STS AssumeRole
Lab 2.3: KMS Encryption
Lab 2.4: Secrets Manager
Lab 2.5: API Gateway Authorizers
2.5
Practice Questions
3.
Domain 3: Deployment
3.1
Prepare Application Artifacts
3.1.1 Dependencies & Packaging
3.1.2 Directory Structure
3.1.3 Repositories
3.1.4 Resource Requirements
3.1.5 AWS AppConfig
3.1.6 AWS CodeArtifact
3.1.6 SAM Commands & Deployment
3.1.7 Container Services (ECS, EKS, ECR)
3.2
Test Applications in Development Environments
3.2.1 Test Deployed Code
3.2.2 Integration Tests & Mock APIs
3.2.3 Test with Development Endpoints
3.2.4 Deploy Stack Updates to Environments
3.2.5 Test Event-Driven Applications
3.2.6 Deployment Strategies & Testing
3.3
Automate Deployment Testing
3.3.1 Create Application Test Events
3.3.2 Deploy API Resources to Environments
3.3.3 Approved Versions for Integration Testing
3.3.4 Implement and Deploy IaC Templates
3.3.5 Manage Environments in AWS Services
3.3.6 Amazon Q Developer for Automated Tests
3.4
CI/CD Deployment
3.4.1 Lambda Deployment Packaging Options
3.4.2 API Gateway Stages and Custom Domains
3.4.3 Update Existing IaC Templates
3.4.4 Manage Application Environments
3.4.5 Deploy Application Versions
3.4.6 Commit Code to Invoke Build/Test/Deploy
3.4.7 Orchestrated Workflows for Deployment
3.4.8 Application Rollbacks
3.4.9 Labels and Branches for Version Management
3.4.10 Runtime Configurations for Dynamic Deployments
3.4.11 Configure Deployment Strategies
3.4.12 CI/CD Automation & CodeDeploy
3.5
Hands-on Labs
Lab 3.1: SAM Deploy Lambda + API Gateway
Lab 3.2: CodePipeline CI/CD
Lab 3.3: CloudFormation Stack
Lab 3.4: ECS Fargate Deployment
Lab 3.5: Blue/Green with CodeDeploy
Lab 3.6: API Gateway Stages + Variables
3.6
Practice Questions
4.
Domain 4: Troubleshooting and Optimization
4.1
Root Cause Analysis
4.1.1 Debug Code to Identify Defects
4.1.2 Interpret Metrics, Logs, and Traces
4.1.3 Query Logs to Find Relevant Data
4.1.4 Implement Custom Metrics (EMF)
4.1.5 Review Health with Dashboards & Insights
4.1.6 Troubleshoot Deployment Failures
4.1.7 Debug Service Integration Issues
4.2
Observability
4.2.1 Logging vs Monitoring vs Observability
4.2.2 Effective Logging Strategy
4.2.3 Implement Code that Emits Custom Metrics
4.2.4 Add Annotations for Tracing
4.2.5 Implement Notification Alerts
4.2.6 Implement Tracing
4.2.7 Implement Structured Logging
4.2.8 Health Checks and Readiness Probes
4.3
Optimization
4.3.1 Define Concurrency
4.3.2 Profile Application Performance
4.3.3 Determine Minimum Memory and Compute
4.3.4 Subscription Filter Policies
4.3.5 Cache Content Based on Request Headers
4.3.6 Application-Level Caching
4.3.7 Optimize Application Resource Usage
4.3.8 Analyze Application Performance Issues
4.3.9 Use Logs to Identify Bottlenecks
4.3.10 Real-World Optimization Scenarios
4.4
Hands-on Labs
Lab 4.1: CloudWatch Logs + Metrics + Insights
Lab 4.2: X-Ray Tracing
Lab 4.3: CloudWatch Alarms + SNS
Lab 4.4: Lambda Performance Tuning
Lab 4.5: CloudFront Caching
Lab 4.6: X-Ray + ServiceLens + Synthetics (Deep Dive)
4.5
Practice Questions
5.
AWS Services Reference
6.
Lộ trình ôn tập
AWS DVA-C02 Study Guide
First Cloud Journey
Last Updated
2026
Author
Danh Hoang Hieu Nghi
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AWS Certified Developer Associate (DVA-C02)
Kế hoạch ôn tập toàn diện
Tài liệu ôn tập bao gồm lý thuyết, bài lab hands-on, và câu hỏi trắc nghiệm cho kỳ thi DVA-C02.
Thông tin
Chi tiết
Mã kỳ thi
DVA-C02
Thời gian
130 phút
Số câu hỏi
65 câu
Điểm đạt
720/1000
Phí thi
$150 USD
Nội dung
Domain 1: Development with AWS Services
Domain 2: Security
Domain 3: Deployment
Domain 4: Troubleshooting and Optimization
AWS Services Reference
Lộ trình ôn tập