A company has an application that runs across multiple AWS Regions. The application is experiencing performance issues at irregular intervals. A developer must use AWS X-Ray to implement distributed tracing for the application to troubleshoot the root cause of the performance issues.
What should the developer do to meet this requirement?

• A.Use the X-Ray console to add annotations for AWS services and user-defined services
• B.Use Region annotation that X-Ray adds automatically for AWS services Add Region annotation for user-defined services
• C.Use the X-Ray daemon to add annotations for AWS services and user-defined services
• D.Use Region annotation that X-Ray adds automatically for user-defined services Configure X-Ray to add Region annotation for AWS services

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A developer is creating an application that will give users the ability to store photos from their cellphones in the cloud. The application needs to support tens of thousands of users. The application uses an Amazon API Gateway REST API that is integrated with AWS Lambda functions to process the photos. The application stores details about the photos in Amazon DynamoDB.
Users need to create an account to access the application. In the application, users must be able to upload photos and retrieve previously uploaded photos. The photos will range in size from 300 KB to 5 MB.
Which solution will meet these requirements with the LEAST operational overhead?

• A.Use Amazon Cognito user pools to manage user accounts. Create an Amazon Cognito user pool authorizer in API Gateway to control access to the API. Use the Lambda function to store the photos and details in the DynamoDB table. Retrieve previously uploaded photos directly from the DynamoDB table.
• B.Use Amazon Cognito user pools to manage user accounts. Create an Amazon Cognito user pool authorizer in API Gateway to control access to the API. Use the Lambda function to store the photos in Amazon S3. Store the object's S3 key as part of the photo details in the DynamoDB table. Retrieve previously uploaded photos by querying DynamoDB for the S3 key.
• C.Create an IAM user for each user of the application during the sign-up process. Use IAM authentication to access the API Gateway API. Use the Lambda function to store the photos in Amazon S3. Store the object's S3 key as part of the photo details in the DynamoDB table. Retrieve previously uploaded photos by querying DynamoDB for the S3 key.
• D.Create a users table in DynamoDB. Use the table to manage user accounts. Create a Lambda authorizer that validates user credentials against the users table. Integrate the Lambda authorizer with API Gateway to control access to the API. Use the Lambda function to store the photos in Amazon S3. Store the object's S3 key as par of the photo details in the DynamoDB table. Retrieve previously uploaded photos by querying DynamoDB for the S3 key.

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A bookstore has an ecommerce website that stores order information in an Amazon DynamoDB table named BookOrders. The DynamoDB table contains approximately one million records.
The table uses OrderID as a partition key. There are no other indexes.
A developer wants to build a new reporting feature to retrieve all records from the table for a specified customer, based on a CustomerID property.

• A.Create a DynamoDB global secondary index (GSI) on the table. Use CustomerID as the partition key. Use the specified CustomerID value to run a query on the table.
• B.Create a DynamoDB global secondary index (GSI) on the table. Use CustomerID as the sort key. Use a filter expression to perform a scan operation on the table to match on the specified CustomerID value.
• C.Create a DynamoDB local secondary index (LSI) on the table. Use CustomerID as the sort key. Run a PartiQL query on the table with a SELECT statement where CustomerID equals the specified CustomerID value.
• D.Create a DynamoDB local secondary index (LSI) on the table. Use CustomerID as the partition key. Use the specified CustomerID value to run a query on the table.

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An AWS Lambda function requires read access to an Amazon S3 bucket and requires read/write access to an Amazon DynamoDB table The correct 1AM policy already exists What is the MOST secure way to grant the Lambda function access to the S3 bucket and the DynamoDB table?

• A.Attach the existing 1AM policy to the Lambda function.
• B.Create an 1AM role for the Lambda function Attach the existing 1AM policy to the role Attach the role to the Lambda function
• C.Create an 1AM user with programmatic access Attach the existing 1AM policy to the user. Add the user access key ID and secret access key as environment variables in the Lambda function.
• D.Add the AWS account root user access key ID and secret access key as encrypted environment variables in the Lambda function

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A developer created an AWS Lambda function that performs a series of operations that involve multiple AWS services. The function's duration time is higher than normal. To determine the cause of the issue, the developer must investigate traffic between the services without changing the function code Which solution will meet these requirements?

• A.Enable AWS X-Ray active tracing in the Lambda function Review the logs in X-Ray
• B.Configure AWS CloudTrail View the trail logs that are associated with the Lambda function.
• C.Review the AWS Config logs in Amazon Cloud Watch.
• D.Review the Amazon CloudWatch logs that are associated with the Lambda function.

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