Amazon Web Services SAP-C02 Exam With Confidence Using Practice Dumps

Exam Code:

SAP-C02

Exam Name:

AWS Certified Solutions Architect - Professional

Certification:

AWS Certified Professional

Vendor:

Amazon Web Services

Questions:

683

Last Updated:

Aug 9, 2026

Exam Status:

Stable

SAP-C02: AWS Certified Professional Exam 2025 Study Guide Pdf and Test Engine

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AWS Certified Solutions Architect - Professional Questions and Answers

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Question 1

A company runs an loT application in the AWS Cloud. The company has millions of sensors that collect data from houses in the United States. The sensors use the MOTT protocol to connect and send data to a custom MQTT broker. The MQTT broker stores the data on a single Amazon EC2 instance. The sensors connect to the broker through the domain named iot.example.com. The company uses Amazon Route 53 as its DNS service. The company stores the data in Amazon DynamoDB.

On several occasions, the amount of data has overloaded the MOTT broker and has resulted in lost sensor data. The company must improve the reliability of the solution.

Which solution will meet these requirements?

Options:

Create an Application Load Balancer (ALB) and an Auto Scaling group for the MOTT broker. Use the Auto Scaling group as the target for the ALB. Update the DNS record in Route 53 to an alias record. Point the alias record to the ALB. Use the MQTT broker to store the data.

Set up AWS loT Core to receive the sensor data. Create and configure a custom domain to connect to AWS loT Core. Update the DNS record in Route 53 to point to the AWS loT Core Data-ATS endpoint. Configure an AWS loT rule to store the data.

Create a Network Load Balancer (NLB). Set the MQTT broker as the target. Create an AWS Global Accelerator accelerator. Set the NLB as the endpoint for the accelerator. Update the DNS record in Route 53 to a multivalue answer record. Set the Global Accelerator IP addresses as values. Use the MQTT broker to store the data.

Set up AWS loT Greengrass to receive the sensor data. Update the DNS record in Route 53 to point to the AWS loT Greengrass endpoint. Configure an AWS loT rule to invoke an AWS Lambda function to store the data.

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Question 2

A company runs a web application on a single Amazon EC2 instance. End users experience slow application performance during times of peak usage, when CPU utilization is consistently more than 95%.

A user data script installs required custom packages on the EC2 instance. The process of launchingthe instance takes several minutes.

The company is creating an Auto Scaling group that has mixed instance groups, varied CPUs, and a maximum capacity limit. The Auto Scaling group will use a launch template for various configuration options. The company needs to decrease application latency when new instances are launched during auto scaling.

Which solution will meet these requirements?

Options:

Use a predictive scaling policy. Use an instance maintenance policy to run the user data script. Set the default instance warmup time to 0 seconds.

Use a dynamic scaling policy. Use lifecycle hooks to run the user data script. Set the default instance warmup time to 0 seconds.

Use a predictive scaling policy. Enable warm pools for the Auto Scaling group. Use an instance maintenance policy to run the user data script.

Use a dynamic scaling policy. Enable warm pools for the Auto Scaling group. Use lifecycle hooks to run the user data script.

Question 3

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), , , ]

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Amazon Web Services SAP-C02 Exam With Confidence Using Practice Dumps

SAP-C02: AWS Certified Professional Exam 2025 Study Guide Pdf and Test Engine

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AWS Certified Solutions Architect - Professional Questions and Answers

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