A developer is building an application that reads 90 Items of data each second from an Amazon DynamoDB table. Each item Is 3 KB m size. The table is configured to use eventually consistent reads How many read capacity units should the developer provision for the table?

• A.25
• B.85
• C.45
• D.35

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A Developer has created a Lambda function and is finding that the function is taking longer to complete than expected. After some debugging, the Developer has discovered that increasing compute capacity would improve performance.
How can the Developer increase the Lambda compute resources?

• A.Run on a larger instance size with more compute capacity.
• B.Specify a larger compute capacity when calling the Lambda function.
• C.Increase the maximum execution time.
• D.Increase the allocated memory for the Lambda function.

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A Developer is receiving HTTP 400: ThrottlingException errors intermittently when calling the Amazon CloudWatch API. When a call fails, no data is retrieved.
What best practice should first be applied to address this issue?

• A.Contact AWS Support for a limit increase.
• B.Use the AWS CLI to get the metrics
• C.Analyze the applications and remove the API call
• D.Retry the call with exponential backoff

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A company manages a financial services application that stores a large volume of data in an Amazon DynamoDB table. A developer needs to improve the performance of the DynamoDB read queries without increasing the cost.
Which solution meets these requirements?

• A.Query with the Projection Expression parameter
• B.Use parallel scans
• C.Create a DynamoDB Accelerator (DAX) cluster.
• D.Add a local secondary index (LSI).

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A movie fan club hosts a serverless web application in an Amazon S3 bucket. The application uses an AWS Lambda function that is exposed by an Amazon API Gateway API. The function queries an Amazon DynamoDB table to list actors sorted by movie. In the DynamoDB table. Actor is the primary key, Movie is the sort key, and Role and Year are attributes.
In the web application, a developer wants to add a page that is named Phase 1 that lists only the movies that were released between 2008 and 2012. The developer needs to fetch the Phase 1 items in a way that minimizes the impact on the DynamoDB table.
Which solution will meet these requirements?

• A.Design a Lambda function that scans the DynamoDB table and filters the results for the Phase 1 items. Invoke the function from a new method in the API.
• B.Use a DynamoDB stream to send items that are filtered by Year to a new DynamoDB table. Invoke a Lambda function from a new method in the API.
• C.Set up an Amazon CloudFront distribution. Create a Lambda@Edge function to filter the items that are returned from the API request.
• D.Create a global secondary index (GSl) with the Year attribute as the sort key. Create a Lambda function to return the results from a new method in the API.

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