Amazon Web Services SAP-C02 Study & Exam Dumps 2025

AWS Certified Solutions Architect - Professional Questions and Answers

Question 1

A company has multiple lines of business (LOBs) that toll up to the parent company. The company has asked its solutions architect to develop a solution with the following requirements

• Produce a single AWS invoice for all of the AWS accounts used by its LOBs.

• The costs for each LOB account should be broken out on the invoice

• Provide the ability to restrict services and features in the LOB accounts, as defined by the company ' s governance policy

• Each LOB account should be delegated full administrator permissions regardless of the governance policy

Which combination of steps should the solutions architect take to meet these requirements ' ? (Select TWO.)

Options:

Use AWS Organizations to create an organization in the parent account for each LOB Then invite each LOB account to the appropriate organization

Use AWS Organizations to create a single organization in the parent account Then, invite each LOB ' s AWS account lo join the organization.

Implement service quotas to define the services and features that are permitted and apply the quotas to each LOB. as appropriate

Create an SCP that allows only approved services and features then apply the policy to the LOB accounts

Enable consolidated billing in the parent account ' s billing console and link the LOB accounts

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Question 2

A company is migrating a document processing workload to AWS. Client applications upload documents to an Amazon S3 bucket for processing. A document processing engine runs on an Amazon EC2 Linux instance and requires Portable Operating System Interface (POSIX)-compliant file system access to read, generate, and modify files during processing. The processed documents must be automatically available in the S3 bucket for client applications to download.

The company cannot directly modify the document processing engine to use the S3 API. The company needs a solution that provides the EC2 instance with file system access. The solution must maintain automatic synchronization with the S3 bucket for both input and output files.

Which solution will meet these requirements?

Options:

Configure AWS DataSync to connect to the EC2 instance without an agent. Configure a DataSync task in enhanced mode to synchronize the processed documents to and from Amazon S3.

Configure an Amazon FSx for Lustre file system with import and export policies that are linked to the S3 bucket. Install the Lustre client on the EC2 instance and mount the file system.

Create an Amazon EFS file system. Set the data repository associations to the S3 bucket. Install the EFS client and mount the file system. Create an automatic import and export policy for new and changed objects.

Set up an Amazon S3 File Gateway. Initiate a RefreshCache API call to update the S3 File Gateway when changes occur in Amazon S3.

Answer:

Explanation:

B is correct because Amazon FSx for Lustre provides a high-performance, POSIX-compliant file system that can be directly linked with Amazon S3 using data repository integration. This allows the EC2-based processing engine (which requires POSIX file operations) to read/write files through a mounted Lustre file system while automatically importing objects from S3 and exporting results back to S3 using Lustre’s S3 integration policies. This satisfies all requirements: POSIX file access, no need to change the application to use the S3 API, and automated synchronization for both inputs and outputs.

Why the other options are incorrect:

A: DataSync is designed for scheduled or task-based data transfers. It does not provide a mounted POSIX file system interface for the application to read/write “in place,” and the “without an agent” requirement is not a fit for an EC2-hosted POSIX workflow that needs continuous file semantics.

C: Amazon EFS is POSIX and mountable, but “data repository associations to S3” is not an EFS capability in the way described. EFS does not provide native bidirectional automatic sync with S3 using import/export policies like FSx for Lustre’s S3 integration.

D: S3 File Gateway provides a file interface backed by S3, but keeping cache coherent with explicit RefreshCache calls is operationally complex and not truly “automatic synchronization” in the sense required. It also introduces caching behaviors that can complicate immediate availability expectations.

[References:, Amazon FSx for Lustre Documentation: POSIX-compliant Lustre file system; data repository integration with S3; import/export behavior and policies, Amazon S3 Documentation: object storage model and integration patterns with file systems, AWS Storage Gateway Documentation: S3 File Gateway behavior, caching, and RefreshCache operations, AWS Certified Solutions Architect – Professional (SAP-C02) Exam Guide: selecting storage services for migration constraints (POSIX needs, minimal refactoring, S3 integration), , , ]

Question 3

A company hosts a data-processing application on Amazon EC2 instances. The application polls an Amazon Elastic File System (Amazon EFS) file system for newly uploaded files. When a new file is detected, the application extracts data from the file and runs logic to select a Docker container image to process the file. The application starts the appropriate container image and passes the file location as a parameter.

The data processing that the container performs can take up to 2 hours. When the processing is complete, the code that runs inside the container writes the file back to Amazon EFS and exits.

The company needs to refactor the application to eliminate the EC2 instances that are running the containers

Which solution will meet these requirements?

Options:

Create an Amazon Elastic Container Service (Amazon ECS) cluster. Configure the processing to run as AWS Fargate tasks. Extract the container selection logic to run as an Amazon EventBridge rule that starts the appropriate Fargate task. Configure the EventBridge rule to run when files are added to the EFS file system.

Create an Amazon Elastic Container Service (Amazon ECS) cluster. Configure the processing to run as AWS Fargate tasks. Update and containerize the container selection logic to run as a Fargate service that starts the appropriate Fargate task. Configure an EFS event notification to invoke the Fargate service when files are added to the EFS file system.

Create an Amazon Elastic Container Service (Amazon ECS) cluster. Configure the processing to run as AWS Fargate tasks. Extract the container selection logic to run as an AWS Lambda function that starts the appropriate Fargate task. Migrate the storage of file uploads to an Amazon S3 bucket. Update theprocessing code to use Amazon S3. Configure an S3 event notification to invoke the Lambda function when objects are created.

Create AWS Lambda container images for the processing. Configure Lambda functions to use the container images. Extract the container selection logic torun as a decision Lambda function that invokes the appropriate Lambda processing function. Migrate the storage of file uploads to an Amazon S3 bucket.Update the processing code to use Amazon S3. Configure an S3 event notification to invoke the decision Lambda function when objects are created

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