An on-premises legacy application is caching data files locally and writing shared images to local disks.
What is necessary to allow for horizontal scaling when migrating the application to AWS?

• A.Modify the application to have both shared images and caching data written to Amazon EBS.
• B.Modify the application to read and write cache data on Amazon S3, while continuing to write shared images to local disks.
• C.Modify the application to read and write cache data on Amazon S3, and also store shared images on S3.
• D.Modify the application to use Amazon S3 for serving shared images; cache data can then be written to local disks.

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A developer is building a new application that uses an Amazon DynamoDB table. The specification states that all items that are older than 48 hours must be removed Which solution will meet this requirement?

• A.Create a new attribute that has the String data type Enable TTL on the DynamoDB table for this attribute In the application code set the value of this attribute to the current timestamp plus 48 hours for each new item that is being inserted
• B.Create a new attribute that has the Number data type Enable TTL on the DynamoDB table for this attribute in the application code set the value of this attribute to the current timestamp plus 48 hours for each new item that is being inserted
• C.Create a new attribute that has the String data type Add a local secondary index (LSI) for this attribute and enable TTL with an expiration of 48 hours In the application code, set the value of this attribute to the current timestamp for each new item that is being inserted.
• D.Create a new attribute that has the Number data type Add a local secondary index (LSI) for this attribute and enable TTL with an expiration of 48 hours In the application code, set the value of this attribute to the current timestamp for each new item that is being inserted.

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A developer must cache dependent artifacts from Maven Central, a public package repository, as part of an application's build pipeline The build pipeline has an AWS CodeArtifact repository where artifacts of the build are published The developer needs a solution that requires minimum changes to the build pipeline Which solution meets these requirements?

• A.Modify the CodeArtifact repository resource policy to allow artifacts to be fetched from the public package repository
• B.Modify the existing CodeArtifact repository to associate an upstream repository with the public package repository
• C.Create a new CodeArtifact repository that has an external connection to the public package repository
• D.Create a new CodeArtifact domain that contains a new repository that has an external connection to the public package repository

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A developer has created an AWS Lambda function that is written in Python The Lambda function reads data from objects in Amazon S3 and writes data to an Amazon DynamoDB table The function is successfully invoked from an S3 event notification when an object is created However, the function fails when if attempts to write to the DynamoDB table What is the MOST likely cause of this issue?

• A.The DynamoDB table requires a global secondary index (GSI) to support writes.
• B.The Lambda function does not have 1AM permissions to write to DynamoDB ID.
• C.The DynamoDB table is not running in the same Availability Zone as the Lambda function.
• D.The Lambda function's concurrency limit has been exceeded

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A Developer is designing a fault-tolerant environment where client sessions will be saved.
How can the Developer ensure that no sessions are lost if an Amazon EC2 instance fails?

• A.Use Amazon DynamoDB to perform scalable session hadling.
• B.Use Elastic Load Balancer connection draining to stop sending requests to failing instances.
• C.Use Amazon SQS to save session data.
• D.Use sticky sessions with an Elastic Load Balancer target group.

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