How does AWS Lambda ensure the reliability of SNS triggers?
- By automatically retrying failed invocations
- By buffering messages before processing
- By delaying message delivery
- By discarding failed messages
AWS Lambda ensures the reliability of SNS triggers by automatically retrying failed invocations, ensuring that messages are processed reliably.
What are some potential challenges when using SNS triggers with AWS Lambda, and how can they be addressed?
- IAM permission errors
- Message format compatibility issues
- Network latency
- Throttling and concurrency limitations
Throttling and concurrency limitations can occur when using SNS triggers with AWS Lambda, but they can be addressed by optimizing function performance or adjusting concurrency settings.
How does the AWS Lambda execution environment process SNS messages when triggered?
- By directly receiving messages from SNS brokers
- By invoking the specified Lambda function asynchronously
- By invoking the specified Lambda function synchronously
- By polling the SNS topic for messages
When triggered by SNS messages, AWS Lambda invokes the specified function asynchronously, processing the messages in the background.
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.