In AWS Lambda, what happens after an SNS message triggers a function?
- The function is executed
- The function is paused
- The message is deleted
- The message is resent
After an SNS message triggers a function in AWS Lambda, the function is executed, allowing you to process the message payload and perform actions based on it.
How does AWS Lambda handle multiple SNS messages concurrently?
- By batching messages
- By limiting concurrency
- By pausing execution
- By scaling horizontally
AWS Lambda automatically scales horizontally to handle multiple SNS messages concurrently, spinning up additional instances of the function as needed.
What is a common use case for integrating SNS with AWS Lambda?
- Long-term data storage
- Machine learning model training
- Managing network traffic
- Processing real-time events
Integrating SNS with AWS Lambda allows for processing real-time events, such as notifications, updates, or alerts, with serverless functions.
SNS triggers can be used to invoke AWS Lambda functions based on incoming __________ messages.
- HTTP
- SMS
- SNS
- SQS
SNS messages are designed for notifications and can directly trigger AWS Lambda functions based on incoming messages.
AWS Lambda functions triggered by SNS messages can process the message payload and perform various __________ tasks.
- Data processing
- Hardware management
- Networking
- UI/UX design
AWS Lambda functions can process incoming SNS message payloads and perform various data processing tasks, such as parsing and transforming data.
SNS triggers enable __________ integration with AWS Lambda, allowing for real-time event-driven architectures.
- Direct linking
- Loose coupling
- Synchronous processing
- Tight coupling
Loose coupling refers to a design principle that enables components to interact with minimal dependencies, which is facilitated by SNS triggers with AWS Lambda.
Scenario: You are building a real-time notification system for a mobile app. Which AWS service would you use to send push notifications and trigger AWS Lambda functions to process them?
- AWS IoT
- Amazon SES
- Amazon SNS
- Amazon SQS
Amazon SNS can send push notifications to mobile devices and trigger AWS Lambda functions for processing them.
Scenario: Your application receives a sudden surge of incoming messages through SNS. How can you ensure that the AWS Lambda functions triggered by these messages can handle the increased load efficiently?
- Enable concurrency limits
- Increase Lambda memory allocation
- Use AWS Batch
- Use Step Functions
Setting concurrency limits helps manage the number of concurrent executions, preventing Lambda functions from being overwhelmed.
Scenario: You need to implement a serverless architecture where incoming data from IoT devices triggers AWS Lambda functions for processing. How would you design the integration between SNS and AWS Lambda in this scenario?
- Deploy EC2 instances
- Publish data to SNS topic
- Use S3 for data storage
- Utilize Kinesis Data Streams
Publishing data to an SNS topic allows SNS to trigger AWS Lambda functions for processing the incoming data from IoT devices.
What is DynamoDB Streams primarily used for?
- Automating backups
- Capturing data modification events
- Ensuring high availability
- Managing database schema
DynamoDB Streams captures data modification events in a DynamoDB table, allowing you to track changes and trigger actions based on those changes.