A developer is deploying an application on an Amazon Elastic Container Service (Amazon ECS) cluster that uses AWS Fargate. The developer is using a Docker container with an Ubuntu image.
The developer needs to implement a solution to store application data that is available from multiple ECS tasks. The application data must remain accessible after the container is terminated.
Which solution will meet these requirements?

• A.Specify the DockerVolumeConfiguration parameter in the ECS task definition to attach a Docker volume.
• B.Attach an Amazon FSx for Windows File Server volume to the container definition.
• C.Create an Amazon Elastic File System (Amazon EFS) file system. Specify the mountPoints attribute and the efsVolumeConfiguration attribute in the ECS task definition.
• D.Create an Amazon Elastic Block Store (Amazon EBS) volume. Specify the mount point configuration in the ECS task definition.

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A developer is deploying an AWS Lambda function The developer wants the ability to return to older versions of the function quickly and seamlessly.
How can the developer achieve this goal with the LEAST operational overhead?

• A.Use AWS OpsWorks to perform blue/green deployments.
• B.Use a function alias with different versions.
• C.Maintain deployment packages for older versions in Amazon S3.
• D.Use AWS CodePipeline for deployments and rollbacks.

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A developer is creating a video search application for a global company. The video files have an average size of 2.5 TB. The video storage system must provide instant access to the video files for the first 90 days. After the first 90 days, the video files can take more than 10 minutes to load.
Which solution will meet these requirements MOST cost-effectively?

• A.Use Amazon Elastic Block Store (Amazon EBS) to store the video files for the first 90 days. After
  90 days, transition the video files to the Amazon S3 Glacier Deep Archive storage class.
• B.Upload the video files to Amazon S3. Use the S3 Glacier Deep Archive storage class for the first
  90 days. After 90 days, transition the video file to the S3 Glacier Flexible Retrieval storage class.
• C.Upload the video files to Amazon S3. Use the S3 Glacier Instant Retrieval storage class for the first 90 days. After 90 days, transition the video files to the S3 Glacier Flexible Retrieval storage class.
• D.Upload the video files to the Amazon Elastic File System (Amazon EFS) Standard storage class for the first 90 days. After 90 days, transition the video files to the EFS Standard-Infrequent Access (Standard-IA) storage class.

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A developer is creating an AWS Lambda function that searches for items from an Amazon DynamoDB table that contains customer contact information. The DynamoDB table items have the customer's email_address as the partition key and additional properties such as customer_type, name and job_title.
The Lambda function runs whenever a user types a new character into the customer_type text input. The developer wants the search to return partial matches of all the email_address property of a particular customer_type. The developer does not want to recreate the DynamoDB table.
What should the developer do to meet these requirements?

• A.Add a global secondary index (GSI) to the DynamoDB table with customer_type as the partition key and email_address as the sort key. Perform a query operation on the GSI by using the begins_with key condition expression with the email_address property.
• B.Add a global secondary index (GSI) to the DynamoDB table with email_address as the partition key and customer_type as the sort key. Perform a query operation on the GSI by using the begins_with key condition expression with the email_address property.
• C.Add a local secondary index (LSI) to the DynamoDB table with customer_type as the partition key and email_address as the sort key. Perform a query operation on the LSI by using the begins_with key condition expression with the email_address property.
• D.Add a local secondary index (LSI) to the DynamoDB table with job_title as the partition key and email_address as the sort key. Perform a query operation on the LSI by using the begins_with key condition expression with the email_address property.

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A financial company must store original customer records for 10 years for legal reasons. A complete record contains personally identifiable information (PII). According to local regulations, PII is available to only certain people in the company and must not be shared with third parties. The company needs to make the records available to third-party organizations for statistical analysis without sharing the PII.
A developer wants to store the original immutable record in Amazon S3. Depending on who accesses the S3 document, the document should be returned as is or with all the PII removed. The developer has written an AWS Lambda function to remove the PII from the document. The function is named removePii.
What should the developer do so that the company can meet the PII requirements while maintaining only one copy of the document?

• A.Set up an S3 event notification that invokes the removePii function when an S3 GET request is made.
  Call Amazon S3 by using a GET request to access the object without PII.
• B.Set up an S3 event notification that invokes the removePii function when an S3 PUT request is made.
  Call Amazon S3 by using a PUT request to access the object without PII.
• C.Create an S3 Object Lambda access point from the S3 console. Select the removePii function. Use S3 Access Points to access the object without PII.
• D.Create an S3 access point from the S3 console. Use the access point name to call the GetObjectLegalHold S3 API function. Pass in the removePii function name to access the object without PII.

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