AWS Lambda can process S3 events in __________ mode, allowing you to handle high volumes of events.

  • Batch
  • Real-time
  • Sequential
  • Stream
AWS Lambda can process S3 events in batch mode, allowing it to handle high volumes of events efficiently by batching multiple events together for processing.

To filter S3 events based on object prefixes, you can specify a __________ in the event configuration.

  • Metadata filter
  • Prefix filter
  • Size filter
  • Suffix filter
To filter S3 events based on object prefixes, you can specify a prefix filter in the event configuration, allowing you to narrow down which objects trigger the Lambda function.

AWS Lambda functions invoked by S3 events receive information about the event, including the __________ that triggered the function.

  • Bucket name
  • Event timestamp
  • Event type
  • Object key
AWS Lambda functions invoked by S3 events receive information about the event, including the object key that triggered the function, allowing you to process the relevant object.

S3 events can trigger AWS Lambda functions in response to changes in __________.

  • Amazon EC2 instances
  • Amazon RDS databases
  • Amazon S3 buckets
  • Amazon SQS queues
S3 events can trigger AWS Lambda functions in response to changes in Amazon S3 buckets, such as object creation, deletion, or modification.

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.

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.

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 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.

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 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 the main benefits of using SNS triggers with AWS Lambda functions?

  • Asynchronous event processing
  • Cost optimization
  • Load balancing
  • Real-time data processing
SNS triggers enable AWS Lambda functions to process events asynchronously, allowing for scalable and responsive event-driven architectures.

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.