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Amazon SAP-C02 certification exam is designed to test the skills and knowledge of professionals who are seeking advanced-level certification as an AWS Solutions Architect. AWS Certified Solutions Architect - Professional (SAP-C02) certification is ideal for those who have already obtained the AWS Certified Solutions Architect - Associate certification and want to take their expertise to the next level. The SAP-C02 Exam is designed to test candidates on their ability to design and deploy highly scalable, fault-tolerant, and secure applications on AWS.

Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q22-Q27):

NEW QUESTION # 22
A retail company wants to improve its application architecture. The company's applications register new orders, handle returns of merchandise, and provide analytics. The applications store retail data in a MySQL database and an Oracle OLAP analytics database. All the applications and databases are hosted on Amazon EC2 instances.
Each application consists of several components that handle different parts of the order process.
These components use incoming data from different sources. A separate ETL job runs every week and copies data from each application to the analytics database.
A solutions architect must redesign the architecture into an event-driven solution that uses serverless services. The solution must provide updated analytics in near real time.
Which solution will meet these requirements?

A. Create an Auto Scaling group for each application. Specify the necessary number of EC2 instances in each Auto Scaling group. Migrate the retail MySQL database and the analytics database to Amazon Aurora MySQL. Use Amazon Simple Notification Service (Amazon SNS) to send all the incoming data to the correct EC2 instances and the analytics database.
B. Migrate the individual applications as microservices to Amazon AppStream 2.0. Migrate the retail MySQL database to Amazon Aurora MySQL. Migrate the analytics database to Amazon Redshift Serverless. Use AWS IoT Core to send all the incoming data to the microservices and the analytics database.
C. Migrate the individual applications as microservices to Amazon Elastic Container Service (Amazon ECS) containers that use AWS Fargate. Keep the retail MySQL database on Amazon EC2. Move the analytics database to Amazon Neptune. Use Amazon Simple Queue Service (Amazon SQS) to send all the incoming data to the microservices and the analytics database.
D. Migrate the individual applications as microservices to Amazon Elastic Kubernetes Service (Amazon EKS) containers that use AWS Fargate. Migrate the retail MySQL database to Amazon Aurora Serverless MySQL. Migrate the analytics database to Amazon Redshift Serverless. Use Amazon EventBridge to send all the incoming data to the microservices and the analytics database.

Answer: D

NEW QUESTION # 23
A company runs an loT platform on AWS loT sensors in various locations send data to the company's Node js API servers on Amazon EC2 instances running behind an Application Load Balancer The data is stored in an Amazon RDS MySQL DB instance that uses a 4 TB General Purpose SSD volume The number of sensors the company has deployed in the field has increased over time and is expected to grow significantly The API servers are consistently overloaded and RDS metrics show high write latency Which of the following steps together will resolve the issues permanently and enable growth as new sensors are provisioned, while keeping this platform cost-efficient? {Select TWO.)

A. Re-architect the database tier to use Amazon Aurora instead of an RDS MySQL DB instance and add read replicas
B. Re-architect the database tier to use Amazon DynamoDB instead of an RDS MySQL DB instance
C. Resize the MySQL General Purpose SSD storage to 6 TB to improve the volume's IOPS
D. Use AWS X-Ray to analyze and debug application issues and add more API servers to match the load
E. Leverage Amazon Kinesis Data Streams and AWS Lambda to ingest and process the raw data

Answer: B,E

Explanation:
Option C is correct because leveraging Amazon Kinesis Data Streams and AWS Lambda to ingest and process the raw data resolves the issues permanently and enable growth as new sensors are provisioned. Amazon Kinesis Data Streams is a serverless streaming data service that simplifies the capture, processing, and storage of data streams at any scale. Kinesis Data Streams can handle any amount of streaming data and process data from hundreds of thousands of sources with very low latency. AWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers. Lambda can be triggered by Kinesis Data Streams events and process the data records in real time. Lambda can also scale automatically based on the incoming data volume. By using Kinesis Data Streams and Lambda, the company can reduce the load on the API servers and improve the performance and scalability of the data ingestion and processing layer3 Option E is correct because re-architecting the database tier to use Amazon DynamoDB instead of an RDS MySQL DB instance resolves the issues permanently and enable growth as new sensors are provisioned. Amazon DynamoDB is a fully managed key-value and document database that delivers single-digit millisecond performance at any scale. DynamoDB supports auto scaling, which automatically adjusts read and write capacity based on actual traffic patterns. DynamoDB also supports on-demand capacity mode, which instantly accommodates up to double the previous peak traffic on a table. By using DynamoDB instead of RDS MySQL DB instance, the company can eliminate high write latency and improve scalability and performance of the database tier.

NEW QUESTION # 24
A company's CI SO has asked a solutions architect to re-engineer the company's current CI/CD practices to make sure patch deployments to its application can happen as quickly as possible with minimal downtime if vulnerabilities are discovered. The company must also be able to quickly roll back a change in case of errors.
The web application is deployed in a fleet of Amazon EC2 instances behind an Application
Load Balancer. The company is currently using GitHub to host the application source code. and has configured an AWS CodeBuild project to build the application. The company also intends to use AWS CodePipeline to trigger builds from GitHub commits using the existing CodeBuild project.
What CI/CD configuration meets all of the requirements?

A. Configure the CodePipeline with a deploy stage using AWS OpsWorks and m-place deployments Monitor the newly deployed code and. if there are any issues, push another code update
B. Configure CodePipeline with a deploy stage using AWS CodeDeploy configured for in-place deployment Monitor the newly deployed code, and, if there are any issues, push another code update
C. Configure CodePipeline with a deploy stage using AWS CodeDeploy configured for blue/green deployments Monitor the newly deployed code and if there are any issues, trigger a manual rollback using CodeDeploy
D. Configure CodePipeline with a deploy stage using AWS CloudFormation to create a pipeline for test and production stacks Monitor the newly deployed code, and, if there are any issues, push another code update

Answer: C

NEW QUESTION # 25
A company has developed a new billing application that will be released in two weeks.
Developers are testing the application running on 10 EC2 instances managed by an Auto Scaling group in subnet 172.31.0.0/24 within VPC A with CIDR block 172.31.0.0/16. The Developers noticed connection timeout errors in the application logs while connecting to an Oracle database running on an Amazon EC2 instance in the same region within VPC B with CIDR block
172.50.0.0/16. The IP of the database instance is hard- coded in the application instances.
Which recommendations should a Solutions Architect present to the Developers to solve the problem in a secure way with minimal maintenance and overhead?

A. Disable the SrcDestCheck attribute for all instances running the application and Oracle Database.
Change the default route of VPC A to point ENI of the Oracle Database that has an IP address assigned within the range of 172.50.0.0/26
B. Create an additional Amazon EC2 instance for each VPC as a customer gateway; create one virtual private gateway (VGW) for each VPC, configure an end-to-end VPC, and advertise the routes for 172.50.0.0/16
C. Create and attach internet gateways for both VPCs. Configure default routes to the Internet gateways for both VPCs. Assign an Elastic IP for each Amazon EC2 instance in VPC A
D. Create a VPC peering connection between the two VPCs and add a route to the routing table of VPC A that points to the IP address range of 172.50.0.0/16

Answer: D

Explanation:
A: It does not goes through NAT so this is not the solution.
B: It does not need to go through internet. This is not secured.
D: This is VPN which is not suitable. Peering should be used.

NEW QUESTION # 26
A company has an on-premises website application that provides real estate information for potential renters and buyers. The website uses a Java backend and a NOSQL MongoDB database to store subscriber dat a.
The company needs to migrate the entire application to AWS with a similar structure. The application must be deployed for high availability, and the company cannot make changes to the application Which solution will meet these requirements?

A. Use MongoDB on Amazon EC2 instances as the database for the subscriber data. Deploy EC2 instances in an Auto Scaling group in a single Availability Zone for the Java backend application.
B. Configure Amazon DocumentDB (with MongoDB compatibility) in on-demand capacity mode in multiple Availability Zones as the database for the subscriber data. Deploy Amazon EC2 instances in an Auto Scaling group across multiple Availability Zones for the Java backend application.
C. use an Amazon Aurora DB cluster as the database for the subscriber data. Deploy Amazon EC2 instances in an Auto Scaling group across multiple Availability Zones for the Java backend application.
D. Configure Amazon DocumentD3 (with MongoDB compatibility) with appropriately sized instances in multiple Availability Zones as the database for the subscriber data. Deploy Amazon EC2 instances in an Auto Scaling group across multiple Availability Zones for the Java backend application.

Answer: B

NEW QUESTION # 27
......

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Real Amazon SAP-C02 Exam Questions [2025] - Secret To Pass Exam In First Attempt

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q22-Q27):

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