AWS Lambda Function - Q & A

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What is Lambda?

AWS Lambda was introduced in 2014, and it is a compute service that runs code in response to events and automatically manages the compute resources required by that code.

The purpose of Lambda, as opposed to AWS EC2, is to simplify building smaller, on-demand applications that are responsive to events and new information. AWS targets starting a Lambda instance within milliseconds of an event.
AWS Lambda was designed for use cases such as image upload, responding to website clicks or reacting to output from a connected device. AWS Lambda can also be used to automatically provision back-end services triggered by custom requests.
Unlike Amazon EC2, which is priced by the hour, AWS Lambda is metered in increments of 100 milliseconds.
- wiki - Amazon Lambda

Q & A

How can we increase the CPU resources for our Lambda?

Ans: Increase the configured memory value

(Note) To increase the memory and CPU power allocated to our function, we need to use the Memory setting. Lambda allocates CPU power linearly in proportion to the amount of memory configured.

How are computing resources allocated to Lambdas?
1. proportionally
2. equally
3. periodically
4. daily

Ans: #1

How can additional code or content can be provided for Lambda?

Ans: layers

(Note) We can configure our Lambda function to use additional code and content in the form of layers.
A layer is a ZIP archive that contains libraries, a custom runtime, or other dependencies.
With layers, we can use libraries in our function without needing to include them in our deployment package.
To include libraries in a layer, place them in the directory structure that corresponds to our programming language.

How do you author a Lambda in a programming language that AWS does not support?
1. Create a Lambda function with a custom runtime and reference the function in your Lambda
2. Create a Lambda layer with a custom runtime and reference the layer in your lambda
3. You cannot use Lambda in this situation
4. Create a Lambda function with a custom runtime

Ans: #2

How can Step Functions call Lambdas?

Ans: in sequence or in parallel

How can Step Functions call Lambdas?

Ans: in sequence or in parallel

Which AWS CLI command invokes a function?
1. aws lambda invoke --function ReturnBucketName outputfile.txt
2. aws lambda execute --function-name ReturnBucketName outputfile.txt
3. aws lambda invoke --function-name ReturnBucketName outputfile.txt
4. aws lambda execute --function ReturnBucketName outputfile.txt

Ans: #3

What adds tracing capabilities to a Lambda?
1. AWS Trace
2. CloudStack
3. CloudTrail
4. AWS X-Ray

Ans: #4

You need to build a continuous integration/deployment pipeline for a set of Lambdas. What should you do?

Ans: Create CloudFormation templates and deploy them using AWS CodePipeline

What can you use to monitor function invocations?
1. API Gateway
2. S3
3. SAS
4. CLoudTrail

Ans: #4

It is AWS best practice to enable Lambda logging by which of these methods.
1. Use S3 metrics and CloudWatch alarms
2. Create custom metrics within your Lambda code
3. Create custom metrics within your CloudWatch code
4. Use Lambda metrics and CloudWatch alarms

Ans: #4

Lambda allows for running of what other things?
1. binaries
2. all of these answer
3. executables
4. shell scripts

Ans: #2

In what style must you write Lambda code?
1. MVC
2. virtual
3. stateless
4. protocol

Ans: #3

What does Lambda logging include?

1. logging streams
2. rotating streams
3. logging events
4. advancing log groups

Ans: #1

What can AWS Amplify NOT do for a Lambda?
1. create a Lambda
2. assign an IAM role
3. delete a Lambda
4. be an event source

Ans: #4

What are listed downstream resources based on?
1. the execution policy
2. the Lambda configuration
3. the Lambda nodes
4. the IAM user

Ans: #2

How do you stop a running Lambda that is stuck in a recursive loop?

1. delete the function
2. set the function concurrent execution limit to 0 while you update the code
3. reset the function
4. set the function concurrent execution limit to 100 while you update the code

Ans: #2

What is AWS best practice for Lambda configuration?

Ans: Overprovision memory to run your functions faster and reduce your costs. Do not overprovision your function timeout settings

Basic Lambda permissions include permissions for what?
1. removing log groups
2. creating log groups
3. updating log groups
4. none of the above

Ans: #3

(Note) The default execution role that the Lambda console creates only has permission to store logs in Amazon CloudWatch Logs.