How does AWS Step Functions handle long-running tasks?
- Auto-retry mechanism
- Manual intervention
- State persistence
- Timeout termination
AWS Step Functions handles long-running tasks by maintaining the state of the workflow execution, allowing it to persist even if they take hours, days, or weeks to complete.
What are some recommended use cases for AWS Step Functions?
- IoT device management
- Orchestration of microservices
- Real-time analytics
- Web hosting
AWS Step Functions is recommended for orchestrating complex workflows involving multiple microservices, coordinating their execution, and handling error scenarios.
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 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.
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.
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.
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.
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.
Scenario: Your team is developing a microservices architecture and needs to manage the flow of requests between services. Which AWS service provides a solution for orchestrating the interactions between microservices?
- AWS App Mesh
- AWS Lambda
- Amazon API Gateway
- Amazon SNS
Amazon API Gateway is a fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale, providing a solution for orchestrating interactions between microservices.
Scenario: You want to automate the processing of orders in an e-commerce application, including tasks such as inventory management and payment processing. Which AWS service would you use to define the workflow and handle the coordination between tasks?
- AWS Glue
- AWS Lambda
- AWS Step Functions
- Amazon SWF
AWS Step Functions allows you to define and run state machines, providing a way to coordinate multiple tasks, including error handling and retries, in a reliable and scalable manner.