Scenario: Your team is aiming to optimize API performance and reduce costs. How would you leverage API Gateway features to implement caching and rate limiting for AWS Lambda-backed APIs?
- Use API Gateway caching to cache responses
- Use API Gateway request throttling
- Use API Gateway usage plans for rate limiting
- Use AWS Lambda concurrency limits
By leveraging API Gateway caching to cache responses and API Gateway request throttling to limit request rates, you can optimize API performance and reduce costs for Lambda-backed APIs.
How can you configure AWS Lambda to filter S3 events based on object prefixes?
- Bucket filtering
- Content filtering
- Prefix filtering
- Suffix filtering
AWS Lambda allows you to configure prefix filtering on S3 event notifications, enabling you to specify object prefixes for filtering events.
What are some considerations for handling large numbers of S3 event notifications in AWS Lambda?
- Concurrent executions
- Disk space
- Memory allocation
- Network bandwidth
Considerations for handling large numbers of S3 event notifications in AWS Lambda include managing concurrent executions and scaling strategies.
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.
What triggers an AWS Lambda function in response to an SNS message?
- CloudWatch Events
- S3 Bucket Notification
- SNS Topic Subscription
- SQS Queue
An AWS Lambda function can be triggered by subscribing to an SNS topic, so when a message is published to the topic, it triggers the function.
When using SNS triggers with AWS Lambda, what type of messaging protocol is commonly used?
- Amazon SQS
- HTTP/S
- JSON-over-HTTP
- SMTP
JSON-over-HTTP is a commonly used messaging protocol with SNS triggers for AWS Lambda, allowing for lightweight communication between services.
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.