Domain 1: Development with Services (32% of the exam content) - AWS Certification
Task 1: Develop code for applications hosted on Task 2: Develop code for LambdaTask 3: Use data stores in application development

Domain 1: Development with Services (32% of the exam content)

This domain accounts for 32% of the exam content.

Task 1: Develop code for applications hosted on

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 Serverlos Application Model [ SAM])

  • Writing code to use messaging services

  • Writing code that interacts with services by using APIs and SDKs

  • Handling data streaming by using services

Task 2: Develop code for 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 services and tools

  • Integrating Lambda functions with 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)

  • Datenbank 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 Speicher 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