A company is adding items to an Amazon DynamoDB table from an AWS Lambda function that is written in Python A developer needs to implement a solution that inserts records in the DynamoDB table and performs automatic retry when the insert fails Which solution meets these requirements with MINIMUM code changes?

• A.Configure the Python code to run the AWS CLI through shell to call the Putltem operation
• B.Queue the items in AWS Glue, which will put them into the DynamoDB table
• C.Use the AWS software development kit (SDK) for Python (boto3) to call the Putltem operation
• D.Call the Putltem operation from Python by using the DynamoDB HTTP API

Comment: *

Name: *

Email: *

Verification: *

A developer is trying to monitor an application's status by running a cron job that returns 1 if the service is up and 0 if the service is down. The developer created code that uses an AWS CLI put-metric-alarm command to publish the custom metrics to Amazon CloudWatch and create an alarm However the developer is unable to create an alarm as the custom metrics do not appear m the CloudWatch console What is causing this issue?

• A.Sending custom metrics using the CLI is not supported
• B.The developer must use a unified CloudWatch agent to publish custom metrics
• C.The developer needs to use the put-metric-data command.
• D.The code is not running on an Amazon EC2 instance

Comment: *

Name: *

Email: *

Verification: *

A company has three different environments: Development, QA, and Production. The company wants to deploy its code first in the Development environment, then QA, and then Production.
Which AWS service can be used to meet this requirement?

• A.Use AWS CodeCommit to create multiple repositories to deploy the application.
• B.Use AWS CodeBuild to create, configure, and deploy multiple build application projects.
• C.Use AWS Data Pipeline to create multiple data pipeline provisions to deploy the application.
• D.Use AWS CodeDeploy to create multiple deployment groups.

Comment: *

Name: *

Email: *

Verification: *

A company uses Amazon DynamoDB for managing and tracking orders. The DynamoDB table is partitioned based on the order date. The company receives a huge increase in orders during a sales event, causing DynamoDB writes to throttle, and the consumed throughput is far below the provisioned throughput.
According to AWS best practices, how can this issue be resolved with MINIMAL costs?

• A.Create a new DynamoDB table for every order date.
• B.Increase the read and write capacity units of the DynamoDB table.
• C.Add a random number suffix to the partition key values.
• D.Add a global secondary index to the DynamoDB table.

Comment: *

Name: *

Email: *

Verification: *

What is the maximum number of S3 Buckets available per AWS account?

• A.100 per account
• B.100 per IAM user
• C.100 per region
• D.there is no limit
• E.500 per account

Comment: *

Name: *

Email: *

Verification: *