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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:
Jul 5, 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 uses a service to collect metadata from applications that the company hosts on premises. Consumer devices such as TVs and internet radios access the applications. Many older devices do not support certain HTTP headers and exhibit errors when these headers are present in responses. The company has configured an on-premises load balancer to remove the unsupported headers from responses sent to older devices, which the company identified by the User-Agent headers.

The company wants to migrate the service to AWS, adopt serverless technologies, and retain the ability to support the older devices. The company has already migrated the applications into a set of AWS Lambda functions.

Which solution will meet these requirements?

Options:

A.

Create an Amazon CloudFront distribution for the metadata service. Create an Application Load Balancer (ALB). Configure the CloudFront distribution to forward requests to the ALB. Configure the ALB to invoke the correct Lambda function for each type of request. Create a CloudFront function to remove the problematic headers based on the value of the User-Agent header.

B.

Create an Amazon API Gateway REST API for the metadata service. Configure API Gateway to invoke the correct Lambda function for each type of request. Modify the default gateway responses to remove the problematic headers based on the value of the User-Agent header.

C.

Create an Amazon API Gateway HTTP API for the metadata service. Configure API Gateway to invoke the correct Lambda function for each type of request. Create a response mapping template to remove the problematic headers based on the value of the User-Agent. Associate the response data mapping with the HTTP API.

D.

Create an Amazon CloudFront distribution for the metadata service. Create an Application Load Balancer (ALB). Configure the CloudFront distribution to forward requests to the ALB. Configure the ALB to invoke the correct Lambda function for each type of request. Create a Lambda@Edge function that will remove the problematic headers in response to viewer requests based on the value of the User-Agent header.

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Question 2

A company has an on-premises monitoring solution using a PostgreSQL database for persistence of events. The database is unable to scale due to heavy ingestion and it frequently runs out of storage.

The company wants to create a hybrid solution and has already set up a VPN connection between its network and AWS. The solution should include the following attributes:

• Managed AWS services to minimize operational complexity

• A buffer that automatically scales to match the throughput of data and requires no on-going administration.

• A visualization toot to create dashboards to observe events in near-real time.

• Support for semi -structured JSON data and dynamic schemas.

Which combination of components will enabled© company to create a monitoring solution that will satisfy these requirements ' ' (Select TWO.)

Options:

A.

Use Amazon Kinesis Data Firehose to buffer events Create an AWS Lambda function 10 process and transform events

B.

Create an Amazon Kinesis data stream to buffer events Create an AWS Lambda function to process and transform evens

C.

Configure an Amazon Aurora PostgreSQL DB cluster to receive events Use Amazon Quick Sight to read from the database and create near-real-time visualizations and dashboards

D.

Configure Amazon Elasticsearch Service (Amazon ES) to receive events Use the Kibana endpoint deployed with Amazon ES to create near-real-time visualizations and dashboards.

E.

Configure an Amazon Neptune 0 DB instance to receive events Use Amazon QuickSight to read from the database and create near-real-time visualizations and dashboards

Question 3

A retail company is mounting IoT sensors in all of its stores worldwide. During the manufacturing of each sensor, the company ' s private certificate authority (CA) issues an X.509 certificate that contains a unique serial number. The company then deploys each certificate to its respective sensor.

A solutions architect needs to give the sensors the ability to send data to AWS after they are installed. Sensors must not be able to send data to AWS until they are installed.

Which solution will meet these requirements?

Options:

A.

Create an AWS Lambda function that can validate the serial number. Create an AWS IoT Core provisioning template. Include the SerialNumber parameter in the Parameters section. Add the Lambda function as a pre-provisioning hook. During manufacturing, call the RegisterThing API operation and specify the template and parameters.

B.

Create an AWS Step Functions state machine that can validate the serial number. Create an AWS IoT Core provisioning template. Include the SerialNumber parameter in the Parameters section. Specify the Step Functions state machine to validate parameters. Call the StartThingRegistrationTask API operation during installation.

C.

Create an AWS Lambda function that can validate the serial number. Create an AWS IoT Core provisioning template. Include the SerialNumber parameter in the Parameters section. Add the Lambda function as a pre-provisioning hook. Register the CA with AWS IoT Core, specify the provisioning template, and set the allow-auto-registration parameter.

D.

Create an AWS IoT Core provisioning template. Include the SerialNumber parameter in the Parameters section. Include parameter validation in the template. Provision a claim certificate and a private key for each device that uses the CA. Grant AWS IoT Core service permissions to update AWS IoT things during provisioning.