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.
What are the advantages of using custom event sources for AWS Lambda over traditional event sources?
- Built-in integration
- Flexibility and extensibility
- Higher reliability
- Lower latency
The advantages of using custom event sources for AWS Lambda over traditional event sources include flexibility and extensibility, allowing you to integrate with a wide range of services and systems beyond those natively supported by AWS Lambda.
In what scenarios would you recommend using custom event sources with AWS Lambda?
- Database management
- Integration with third-party services
- Internal service communication
- Load balancing
Custom event sources in AWS Lambda are recommended when integrating with third-party services that generate events not natively supported by AWS services.
AWS Lambda functions are triggered by various __________ such as API Gateway, S3 events, and CloudWatch Events.
- Events
- Jobs
- Messages
- Triggers
AWS Lambda functions are triggered by various events such as API Gateway requests, S3 bucket events, and CloudWatch Events, which invoke the execution of the function.
AWS Lambda supports concurrent executions, allowing multiple instances of a function to run __________.
- Individually
- Sequentially
- Simultaneously
- Sparingly
AWS Lambda supports concurrent executions, allowing multiple instances of a function to run simultaneously, enabling scalable and responsive applications.
__________ is a feature of AWS Lambda that allows you to manage and deploy serverless applications.
- AWS Amplify
- AWS CloudFormation
- AWS Serverless Application Model (SAM)
- AWS Step Functions
AWS Serverless Application Model (SAM) is a feature of AWS Lambda that allows you to manage and deploy serverless applications.
AWS Lambda@Edge enables you to run Lambda functions at __________ locations for improved latency.
- Cloud
- Data center
- Edge
- Regional
AWS Lambda@Edge enables you to run Lambda functions at edge locations for improved latency, allowing you to process data closer to the end user.
AWS Lambda provides __________ for integrating with custom event sources, ensuring scalability and reliability.
- API gateways
- Backup services
- Event source mappings
- Resource pools
Event source mappings in AWS Lambda allow you to connect functions with event sources such as Amazon S3, Amazon SQS, and Amazon Kinesis, ensuring scalability and reliability.
Implementing custom event sources may require __________ to manage event routing and processing efficiently.
- Encryption keys
- Event routers
- Load balancers
- Message brokers
Message brokers such as Amazon SQS or Apache Kafka may be used to manage event routing and processing efficiently when implementing custom event sources in AWS Lambda.
What are CloudWatch Metrics used for?
- Deploying applications
- Managing security groups
- Monitoring AWS resources and applications
- Storing log data
CloudWatch Metrics are used for monitoring AWS resources and applications by collecting and tracking data over time, enabling you to analyze performance and detect anomalies.