AWS Lambda functions can be written in multiple __________ such as Python, Node.js, and Java.
- Frameworks
- IDEs
- Languages
- Platforms
AWS Lambda functions can be written in multiple programming languages such as Python, Node.js, Java, C#, and Go, among others.
DynamoDB Streams enable __________ processing of data changes in DynamoDB tables.
- Batch
- Delayed
- Periodic
- Real-time
DynamoDB Streams enable real-time processing of data changes in DynamoDB tables, allowing immediate and continuous data handling.
To consume DynamoDB Streams in real-time, you can use services like __________ or AWS Lambda.
- AWS EC2
- AWS S3
- Amazon Kinesis
- Amazon Redshift
Amazon Kinesis can consume DynamoDB Streams in real-time, providing a way to process and analyze streaming data.
__________ is a mechanism provided by DynamoDB Streams to ensure that each shards data is processed in the correct order.
- Partition keys
- Sequence numbers
- Shard iterators
- Stream records
Sequence numbers in DynamoDB Streams ensure that records within a shard are processed in the correct order, maintaining data consistency.
Scenario: Your team is concerned about optimizing the performance of AWS Lambda functions. What strategies would you recommend to minimize cold start times?
- Adding more logging statements
- Implementing provisioned concurrency
- Increasing memory allocation
- Reducing code size
Implementing provisioned concurrency is the recommended strategy to minimize cold start times in AWS Lambda functions as it allocates a set of concurrent executions to keep instances warm.
Scenario: You need to create a serverless API that triggers AWS Lambda functions based on HTTP requests. Which AWS service would you use to manage the API endpoints and integrate with AWS Lambda?
- Amazon API Gateway
- AWS Lambda itself
- Amazon SQS
- AWS Step Functions
Amazon API Gateway is the correct option as it is a fully managed service designed for managing API endpoints and integrating with AWS Lambda for triggering functions based on HTTP requests.
What are custom event sources in AWS Lambda?
- Built-in AWS services
- External services or applications
- Lambda-managed sources
- On-premises data centers
Custom event sources in AWS Lambda refer to external services or applications that can trigger the execution of Lambda functions by emitting custom events.
How do custom event sources differ from standard event sources in AWS Lambda?
- Customizability
- Built-in compatibility
- Scalability
- Performance
Custom event sources offer more flexibility and customization options compared to standard event sources, allowing developers to define their own event formats and sources.
What is the significance of integrating custom event sources with AWS Lambda?
- Cost reduction
- Extensibility
- Latency reduction
- Security enhancement
Integrating custom event sources with AWS Lambda extends the capabilities of Lambda functions, allowing them to respond to a wider range of events from external sources.
What are some examples of custom event sources that can trigger AWS Lambda functions?
- AWS Step Functions, AWS Glue, AWS CodePipeline
- Amazon API Gateway, Amazon CloudFront, Amazon S3
- Amazon EC2, Amazon RDS, Amazon DynamoDB
- Amazon SQS, Amazon SNS, Amazon Kinesis
Custom event sources for AWS Lambda include services like Amazon SQS, Amazon SNS, and Amazon Kinesis, allowing you to trigger functions in response to messages, notifications, and streaming data.