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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
Questions:
683
Last Updated:
Jun 29, 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

Question 1

A company runs a processing engine in the AWS Cloud The engine processes environmental data from logistics centers to calculate a sustainability index The company has millions of devices in logistics centers that are spread across Europe The devices send information to the processing engine through a RESTful API

The API experiences unpredictable bursts of traffic The company must implement a solution to process all data that the devices send to the processing engine Data loss is unacceptable

Which solution will meet these requirements?

Options:

A.

Create an Application Load Balancer (ALB) for the RESTful API Create an Amazon Simple Queue Service (Amazon SQS) queue Create a listener and a target group for the ALB Add the SQS queue as the target Use a container that runs in Amazon Elastic Container Service (Amazon ECS) with the Fargate launch type to process messages in the queue

B.

Create an Amazon API Gateway HTTP API that implements the RESTful API Create an Amazon Simple Queue Service (Amazon SQS) queue Create an API Gateway service integration with the SQS queue Create an AWS Lambda function toprocess messages in the SQS queue

C.

Create an Amazon API Gateway REST API that implements the RESTful API Create a fleet of Amazon EC2 instances in an Auto Scaling group Create an API Gateway Auto Scaling group proxy integration Use the EC2 instances to process incoming data

D.

Create an Amazon CloudFront distribution for the RESTful API Create a data stream in Amazon Kinesis Data Streams Set the data stream as the origin for the distribution Create an AWS Lambda function to consume and process data in the data stream

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Question 2

A company is running an application in the AWS Cloud. The application uses AWS Lambda functions and Amazon Elastic Container Service (Amazon ECS) containers that run with AWS Fargate technology as its primary compute. The load on the application is irregular. The application experiences long periods of no usage, followed by sudden and significant increases and decreases in traffic. The application is write-heavy and stores data in an Amazon Aurora MySQL database. The database runs on an Amazon RDS memory optimized DB instance that is not able to handle the load.

What is the MOST cost-effective way for the company to handle the sudden and significant changes in traffic?

Options:

A.

Add additional read replicas to the database. Purchase Instance Savings Plans and RDS Reserved Instances.

B.

Migrate the database to an Aurora multi-master DB cluster. Purchase Instance Savings Plans.

C.

Migrate the database to an Aurora global database. Purchase Compute Savings Plans and RDS Reserved Instances.

D.

Migrate the database to Aurora Serverless v1. Purchase Compute Savings Plans.

Question 3

A company is using AWS CloudFormation as its deployment tool for all applications. It stages all application binaries and templates within Amazon S3 buckets with versioning enabled. Developers use an Amazon EC2 instance with IDE access to modify and test applications. The developers want to implement CI/CD with AWS CodePipeline with the following requirements:

Use AWS CodeCommit for source control.

Automate unit testing and security scanning.

Alert developers when unit tests fail.

Toggle application features and allow lead developer approval before deployment.

Which solution will meet these requirements?

Options:

A.

Use AWS CodeBuild for testing and scanning. Use EventBridge and SNS for alerts. Use AWS CDK with a manifest to toggle features. Use a manual approval stage.

B.

Use Lambda for testing and alerts. Use AWS Amplify plugins for feature toggles. Use SES for manual approval.

C.

Use Jenkins and SES for alerts. Use nested CloudFormation stacks for features. Use Lambda for approvals.

D.

Use CodeDeploy for testing and scanning. Use CloudWatch alarms and SNS. Use Docker images for features and AWS CLI for toggles.