Scenario: You're tasked with building a scalable and fault-tolerant system using DynamoDB Streams for a high-traffic application. How would you design the system to handle potential spikes in workload and ensure reliable processing of stream records?
- Depend on DynamoDB auto-scaling only
- Implement a dead-letter queue for failed records
- Limit the number of stream records processed
- Use a single large Lambda function
Implementing a dead-letter queue for failed records ensures that any unprocessed records are not lost, allowing for reliable and fault-tolerant processing.
What are the key components of an AWS Lambda function?
- API Gateway, CloudWatch, S3 bucket
- EC2 instances, Load balancer, Auto Scaling group
- Function code, Runtime, Handler
- Function name, IAM role, Event source
The key components of an AWS Lambda function include the function code, runtime, and handler.
How does AWS Lambda pricing typically work?
- Fixed monthly subscription
- Pay-per-invocation
- Pay-per-storage
- Pay-per-use
AWS Lambda pricing typically works on a pay-per-use model, where you are charged for the compute time consumed by your function.
How does AWS Lambda handle scaling automatically?
- Automatically adjusts based on incoming traffic
- Relies on third-party tools for scaling
- Requires manual intervention for scaling
- Uses static scaling configurations
AWS Lambda automatically adjusts its capacity to handle incoming traffic, scaling up or down as needed to accommodate changes in demand.
What are some benefits of using AWS Lambda for serverless computing?
- High upfront costs
- Limited language support
- Reduced operational overhead
- Requires manual scaling
AWS Lambda reduces operational overhead by automatically managing server provisioning, maintenance, and scaling, allowing developers to focus on code development.
How does AWS Lambda integrate with other AWS services?
- Direct API calls
- Manual configuration
- Only through SDKs
- Through event sources
AWS Lambda integrates with other AWS services through event sources, allowing functions to be triggered by events such as file uploads to Amazon S3 or database updates in Amazon DynamoDB.
Environment variables in AWS Lambda can be used to store sensitive information such as __________.
- API keys
- Encryption keys
- HTML code
- Public URLs
Environment variables in AWS Lambda can be used to store sensitive information such as API keys, database credentials, and configuration settings.
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.