3.1 Write code for serverless applications.
Compare and contrast server-based vs. serverless model (e.g., micro services, stateless nature of serverless applications, scaling serverless applications, and decoupling layers of serverless applications)
Configure AWS Lambda functions by defining environment variables and parameters (e.g.,memory, time out, runtime, handler)
Create an API endpoint using Amazon API Gateway
Create and test appropriate API actions like GET, POST using the API endpoint
Apply Amazon DynamoDB concepts (e.g., tables, items, and attributes)
Compute read/write capacity units for Amazon DynamoDB based on application requirements
Associate an AWS Lambda function with an AWS event source (e.g., Amazon API Gateway, Amazon CloudWatch event, Amazon S3 events, Amazon Kinesis)
Invoke an AWS Lambda function synchronously and asynchronously
3.2 Translate functional requirements into application design.
Determine real-time vs. batch processing for a given use case
Determine use of synchronous vs. asynchronous for a given use case
Determine use of event vs. schedule/poll for a given use case
Account for tradeoffs for consistency models in an application design3.3 Implement application design into application code.
Write code to utilize messaging services (e.g., SQS, SNS)
Use Amazon ElastiCache to create a database cache
Use Amazon DynamoDB to index objects in Amazon S3
Write a stateless AWS Lambda function
Write a web application with stateless web servers (Externalize state)
3.4 Write code that interacts with AWS services by using APIs, SDKs, and AWS CLI.
Choose the appropriate APIs, software development kits (SDKs), and CLI commands for the code components
Write resilient code that deals with failures or exceptions (i.e., retries with exponential back off and jitter)