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Development with AWS Services

Develop code for applications hosted on AWS, Lambda functions, and data store integrations (~32% of exam).

Covers developing code for applications hosted on AWS including architectural patterns, stateful/stateless concepts, loosely coupled components, synchronous/asynchronous patterns, fault-tolerant applications, APIs, unit testing, messaging services, SDKs, streaming data, Amazon Q Developer, EventBridge event-driven patterns, and resilient third-party integrations. Also covers Lambda development including VPC access, configuration, event lifecycle handling, testing, integration, performance tuning, and real-time data processing. Additionally covers data stores including DynamoDB keys and indexing, consistency models, query vs scan operations, serialization, data lifecycle management, caching services, and specialized data stores.
5 minutes 5 Questions

AWS Development Services encompass a comprehensive suite of tools and services that developers use to build, deploy, and manage applications in the cloud. For the AWS Certified Developer Associate exam, understanding these core services is essential. **Compute Services**: AWS Lambda enables server…

Concepts covered: Event-driven architectural patterns, Unit testing with AWS SAM, Strongly consistent reads, DynamoDB consistency models, Microservices architecture, Monolithic architecture, Choreography vs orchestration patterns, Fanout pattern, Stateful vs stateless applications, Tightly coupled vs loosely coupled components, Synchronous vs asynchronous patterns, Fault-tolerant application development, Resilient application patterns, Creating and maintaining APIs, API response and request transformations, API validation rules, Overriding API status codes, Writing code for messaging services, AWS SDKs and APIs, Handling streaming data, Amazon Kinesis Data Streams, Amazon Q Developer, Amazon EventBridge for event-driven patterns, EventBridge rules and targets, Retry logic implementation, Circuit breaker pattern, Error handling patterns, Lambda VPC access configuration, Lambda environment variables, Lambda memory and timeout configuration, Lambda concurrency settings, Lambda runtime and handler configuration, Lambda layers, Lambda extensions, Lambda triggers and event sources, Lambda destinations, Lambda event lifecycle, Lambda dead-letter queues, Lambda testing strategies, Lambda integration with AWS services, Lambda performance tuning, Lambda Provisioned Concurrency, Lambda data processing and transformation, Lambda real-time stream processing, DynamoDB partition keys, High-cardinality partition key design, Eventually consistent reads, DynamoDB query operations, DynamoDB scan operations, DynamoDB primary keys, DynamoDB global secondary indexes, DynamoDB local secondary indexes, Data serialization and deserialization, Data persistence patterns, Managing data stores, Data lifecycle management, Amazon ElastiCache, DAX (DynamoDB Accelerator), Caching strategies, Amazon OpenSearch Service, Choosing data stores by access patterns

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