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.
Scenario: Your application generates large amounts of log data stored in S3 buckets. How can you optimize AWS Lambda functions to process these S3 event notifications efficiently?
- Batch process log data using AWS Lambda destinations
- Enable parallel processing by configuring multiple AWS Lambda functions
- Increase the memory allocation for AWS Lambda functions
- Use AWS Step Functions to orchestrate AWS Lambda execution
Configuring multiple AWS Lambda functions to enable parallel processing is an effective way to optimize the handling of large amounts of log data stored in S3 buckets.
How does DynamoDB Streams ensure data durability?
- By creating backups
- By replicating data across multiple regions
- By storing data in memory
- By writing data to disk
DynamoDB Streams ensure data durability by replicating data across multiple availability zones to prevent data loss.
In DynamoDB Streams, what triggers the generation of stream records?
- Data modifications (create, update, delete)
- Read operations
- Schema changes
- Table scans
Stream records in DynamoDB Streams are generated when data modifications such as create, update, and delete operations occur in the table.
How long does DynamoDB Streams retain records by default?
- 24 hours
- 30 days
- 48 hours
- 7 days
DynamoDB Streams retains records for 24 hours by default.
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.