What does AWS Lambda provide?
- A scalable object storage service
- A service for deploying and managing virtual machines
- A service to manage AWS resources through a web-based interface
- A service to run code without provisioning or managing servers
AWS Lambda is designed to let you run code without thinking about servers. It abstracts the infrastructure so developers can focus on the code itself.
Which of the following statements best describes the primary purpose of AWS Lambda?
- To enable serverless computing by running code in response to events
- To monitor and manage application performance
- To provide virtual servers on demand
- To store and retrieve large amounts of data
AWS Lambda is primarily used for serverless computing, executing code in response to various events such as changes in data, shifts in system state, or user actions.
In AWS Lambda, what happens when an event triggers a function?
- The function creates a new virtual machine to process the event
- The function is invoked with the event data passed as input
- The function is stored in S3 for later use
- The function sends the event data to a DynamoDB table
When an event triggers a Lambda function, the service automatically runs the function with the event data as input, without any need for provisioning or managing servers.
How does AWS Lambda manage server resources in a serverless architecture?
- Allocates fixed resources
- Automatically scales resources
- Requires manual scaling
- Utilizes third-party services
AWS Lambda automatically scales the resources allocated to a function based on the incoming workload, ensuring optimal performance without the need for manual intervention.
What are some challenges associated with serverless computing?
- Cold start latency
- Difficulty in debugging
- Limited execution time
- Vendor lock-in
Serverless functions may experience latency when they are invoked for the first time or after a period of inactivity, known as cold starts.
How can organizations optimize costs while using serverless computing?
- Choosing long-running functions
- Fine-tuning function memory allocation
- Increasing idle time
- Utilizing reserved capacity
Adjusting the memory allocated to serverless functions based on their resource requirements can optimize performance and cost-effectiveness.
Serverless computing abstracts server management, allowing developers to focus on writing __________.
- Code
- Documentation
- Emails
- Spreadsheets
Serverless computing abstracts server management, allowing developers to focus on writing code, rather than worrying about server provisioning or management tasks.
In serverless computing, developers are charged based on __________ rather than provisioned capacity.
- Actual usage
- Network bandwidth
- Provisioned capacity
- Time of deployment
In serverless computing, developers are charged based on actual usage, meaning they only pay for the resources consumed during the execution of their functions.
Serverless architectures are often characterized by their stateless nature, where __________ is not preserved between invocations.
- CPU
- Memory
- Network
- State
In serverless architectures, functions are stateless, meaning that any state or context from one invocation of a function is not preserved for the next invocation.
One strategy to optimize performance in serverless computing is to minimize __________.
- Cold starts
- Event processing
- Function duration
- Memory allocation
Minimizing cold starts, the time it takes for a function to respond to its first invocation, can improve performance in serverless computing.