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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:
691
Last Updated:
Sep 16, 2026
Exam Status:
Stable
Amazon Web Services SAP-C02

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 uses a software package for surveys. During surveys, data is uploaded from a field operator ' s device to an Amazon S3 bucket. A custom application that runs on several Amazon EC2 instances polls the S3 bucket for new data. When new data is available, the software processes the data.

The data uploads are infrequent. The processing software can take up to 25 minutes to analyze each data upload. The company wants to optimize the application workflow to process the S3 data.

Which solution will meet these requirements with the LEAST operational overhead?

Options:

A.

Modify the application to accept new S3 object keys as inputs. Containerize the application. Deploy the container to an Amazon ECS cluster that uses the AWS Fargate launch type. Configure S3 bucket notifications to send events to Amazon EventBridge when new objects are uploaded. Create an EventBridge rule that invokes an ECS task to run the application when a new S3 object event occurs.

B.

Modify the application to accept new S3 object keys as inputs. Containerize the application. Deploy the container image to AWS Lambda functions. Create a new AWS Step Functions state machine to invoke the Lambda functions. Configure the state machine with a Task state that calls the Lambda functions. Set the Task state ' s Timeout property to 30 minutes.

C.

Modify the application to accept new S3 object keys as inputs. Move the application from EC2 instances to Amazon ECS by using the EC2 capacity provider. Create an AWS Glue crawler to check the S3 bucket and invoke the application. Configure the application to process the data when the data is uploaded to Amazon S3.

D.

Modify the application to use HTTP to poll new S3 object keys that reference data to process. Containerize the application. Deploy the container image to AWS Lambda functions. Configure S3 bucket notifications to send events to Amazon EventBridge when new objects are uploaded. Create an EventBridge rule that invokes the Lambda functions to post the new objects to HTTP endpoints by using fan-out.

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Question 2

A company’s solutions architect is evaluating an AWS workload that was deployed several years ago. The application tier is stateless and runs on a single large Amazon EC2 instance that was launched from an AMI. The application stores data in a MySOL database that runs on a single EC2 instance.

The CPU utilization on the application server EC2 instance often reaches 100% and causes the application to stop responding. The company manually installs patches on the instances. Patching has caused

downtime in the past. The company needs to make the application highly available.

Which solution will meet these requirements with the LEAST development time?

Options:

A.

Move the application tier to AWS Lambda functions in the existing VPC. Create an Application Load Balancer to distribute traffic across theLambda functbns. Use Amazon GuardDuty to scan the Lambda functions. Migrate the database to Amazon DocumentDB (with MongoDB compatibility).

B.

Change the EC2 instance type to a smaller Graviton powered instance type. use the existing AMI to create a launch template for an Auto Scaling group. Create an Application Load Balancer to distribute traffic across the instances in the Auto Scaling group. Set the Auto Scaling group to scale based on CPU utilization. Migrate the database to Amazon DynamoDB.

C.

Move the application tier to containers by using Docker. Run the containers on Amazon Elastic Container Service (Amazon ECS) with EC2 instances. Create an Application Load Balancer to distribute traffic across the ECS cluster Configure the ECS cluster to scale based on CPU utilization. Migrate the database to Amazon Neptune.

D.

Create a new AMI that is configured with AWS Systems Manager Agent (SSM Agent). Use the new AMI to create a launch template for an Auto Scaling group. Use smaller instances in the Auto Scaling group. Create an Application Load Balancer to distribute traffic across the instances in the Auto Scaling group. Set the Auto Scaling group to scale based on CPU utilization. Migrate the database to Amazon Aurora MySQL.

Question 3

Question:

An application uses CloudFront, App Runner, and two S3 buckets — one for static assets and one for user-uploaded content. User content is infrequently accessed after 30 days. Users are located only in Europe.

How can the companyoptimize cost?

Options:

A.

Expire S3 objects after 30 days.

B.

Transition S3 content toGlacier Deep Archiveafter 30 days.

C.

Use Spot Instances with App Runner.

D.

Add auto scaling to Aurora read replica.

E.

UseCloudFront Price Class 200(Europe and U.S. only).

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