-
Increase the configured CPU value
-
Increase the configured timeout value
-
Increase the configured memory value
-
Increase the configured concurrency value
-
blocks
-
ayers
-
aliases
-
handlers
-
in sequence
-
both of these answers
-
neither of these answers
-
in parallel
-
aws lambda invoke --function ReturnBucketName outputfile.txt
-
aws lambda execute --function-name ReturnBucketName outputfile.txt
-
aws lambda invoke --function-name ReturnBucketName outputfile.txt
-
aws lambda execute --function ReturnBucketName outputfile.txt
-
AWS Trace
-
CloudStack
-
CloudTrail
-
AWS X-Ray
Q6. You need to build a continuous integration/deployment pipeline for a set of Lambdas. What should you do?
-
Create configuration files and deploy them using AWS CodePipeline.
-
Create CloudFormation templates and deploy them using AWS CodeBuild
-
Create configuration file and deploy using AWS CodeBuild
-
Create CloudFormation templates and deploy them using AWS CodePipeline.
-
API Gateway
-
S3
-
SAS
-
CLoudTrail
-
Use S3 metrics and CloudWatch alarms
-
Create custom metrics within your Lambda code.
-
Create custom metrics within your CloudWatch code.
-
Use Lambda metrics and CloudWatch alarms.
-
an SSL certificate
-
a bitmask
-
an AWS KMS key
-
an HTTP protocol
-
binaries.
-
all of these answers
-
executables
-
Shell scripts
-
MVC
-
virtual
-
stateless
-
protocol
-
by uploading a .zip file
-
all of these answers
-
by editing inline
-
from an S3 bucket
Q13. You are performance-testing your Lambda to verify that you set the memory size adequately. Where do you verify the exectuon overhead?
-
CLoudWatch logs
-
DynamoDB logs
-
S3 logs
-
Lambda logs.
-
CodeStack
-
ElasticStack
-
Mobile Hub
-
CodeDeploy
-
proportionally
-
equally
-
periodically
-
daily
Q16. You can restrict the scope of a user's permissions by specifying which two items in an IAM policy?
-
resources and users
??? -
resources and conditions
-
events and users
-
events and conditions
-
logging streams
-
rotating streams
-
logging events
-
advancing log groups
-
create a Lambda
-
be an event source
-
assign an IAM role
-
delete a Lambda
-
Create a Lambda function with a custom runtime and reference the function in your Lambda
-
Create a Lambda layer with a custom runtime and reference the layer in your lambda
-
You cannot use Lambda in this situation
-
Create a Lambda function with a custom runtime
-
the execution policy
-
the Lambda configuration
-
the Lambda nodes
-
the IAM user
-
department:Sales,department:Sales
-
department:Sales,department:sales
-
aws:demo;aws:demo
-
aws:demo;aws:DEMO
-
neither of these answers
-
UDP/IP
-
TCP/IP
-
both of these answers
-
automatically
-
none of these answers
-
manually
-
ad hoc
Q24. You are testing your stream-based application and the associated Lambda. AWS best practice advises you to test by varying what?
-
stream and record sizes
-
stream and shard sizes
-
batch and record sizes
-
batch and shard sizes
-
Place each subnet in a VPC. Associate all subnets to your Lambda.
-
Place all subnets in a VPC. Associate all subnets to your Lambda.
-
Configure your Lambda to be available to multiple VPCs.
-
Configure all application VPCs to be peered.
-
number of function calls
-
amount of code run
-
compute time
-
amount of infrastructure used
-
Author a Lambda from scratch.
-
Use a blueprint.
-
Use a .zip deployment package.
-
Use the serverless app repository.
-
/tmp
-
/default
-
/temp
-
/ds
-
Delete the function.
-
Set the function concurrent execution limit to 0 while you update the code.
-
Reset the function.
-
Set the function concurrent execution limit to 100 while you update the code.