Scenario: You are designing a data processing workflow that involves multiple AWS services such as S3, Lambda, and DynamoDB. Which AWS service would you use to orchestrate the workflow and handle error handling?
- AWS ECS
- AWS Glue
- AWS Step Functions
- Amazon SQS
AWS Step Functions provides a serverless orchestration service that allows you to coordinate multiple AWS services, including error handling and retry logic, in a visual workflow.
AWS Step Functions can be used to coordinate __________ workflows that involve multiple AWS services and custom business logic.
- Automation
- Load balancing
- Orchestration
- Virtualization
AWS Step Functions provide orchestration capabilities, allowing you to coordinate workflows involving multiple AWS services and custom business logic, thereby automating complex tasks.
The __________ feature of AWS Step Functions enables you to trigger actions based on the success or failure of a state machine execution.
- Error handling
- Event-driven architecture
- Load balancing
- Retry mechanism
Error handling in AWS Step Functions allows you to define actions to take based on the success or failure of specific states within a state machine execution.
Error handling in AWS Step Functions can be configured using __________, which define how the state machine reacts to errors.
- Catchers
- Handlers
- Resolvers
- Watchdogs
Catchers in AWS Step Functions define how the state machine reacts to errors, allowing you to specify recovery steps or handle exceptions gracefully.
AWS Step Functions allow you to define __________ that specify the order and conditions for executing tasks.
- Containers
- Lambda functions
- Queues
- State machines
AWS Step Functions allow you to define state machines that specify the order and conditions for executing tasks, providing a visual workflow to coordinate multiple AWS services.
How does AWS Step Functions support parallel execution of tasks?
- Batch processing
- Distributed processing
- Parallel states
- Sequential states
AWS Step Functions supports parallel execution of tasks by allowing you to define parallel states within a state machine, enabling the execution of multiple tasks concurrently.
AWS SAM is an open-source framework that extends __________ for serverless application development.
- CloudFormation
- Docker
- Kubernetes
- Terraform
AWS SAM is an open-source framework that extends AWS CloudFormation for serverless application development, providing simplified syntax and additional features.
What are some best practices for using AWS SAM and the Serverless Framework in production environments?
- Avoiding automated testing
- Ignoring resource limits
- Implementing security best practices
- Skipping documentation
Best practices for using AWS SAM and the Serverless Framework in production environments include implementing security measures such as IAM roles and policies to control access and permissions.
What are some advanced features offered by the Serverless Framework?
- Auto-scaling
- Built-in monitoring
- Multi-region deployment
- Rollback support
The Serverless Framework provides advanced features such as built-in monitoring, which allows you to track the performance and health of your serverless applications.
How does AWS SAM integrate with AWS CloudFormation?
- AWS SAM bypasses CloudFormation
- AWS SAM creates separate stacks from CloudFormation
- AWS SAM is a standalone service
- AWS SAM templates are an extension of CloudFormation
AWS SAM (Serverless Application Model) integrates with AWS CloudFormation by using SAM templates, which are an extension of CloudFormation templates and offer simplified syntax for defining serverless applications.
In what programming languages can you define AWS SAM templates and Serverless Framework configurations?
- Bash scripting
- Java and C#
- Python only
- YAML and JSON
Both AWS SAM templates and Serverless Framework configurations can be defined using YAML or JSON, providing flexibility and ease of use for developers familiar with these formats.
What are the key features of AWS SAM?
- Advanced machine learning capabilities
- Built-in monitoring tools
- Hybrid cloud support
- Simplified syntax and predefined templates
AWS SAM provides a simplified syntax for defining serverless applications and includes predefined templates for common use cases, reducing development time and complexity.