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.
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.
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.
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 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.
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.