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To pass the SAP-C02 exam, a candidate should have a thorough understanding of AWS services and architectures, an ability to design and deploy scalable, fault-tolerant, and highly available systems on AWS, and a deep knowledge of security and compliance requirements in AWS deployments. SAP-C02 exam consists of 75 multiple-choice and multiple-answer questions and has a duration of 180 minutes.

The SAP-C02 exam is designed to test an individual's ability to design and deploy complex AWS systems, including multi-tier applications, highly available and fault-tolerant systems, and scalable and secure systems. SAP-C02 Exam consists of 75 multiple-choice and multiple-response questions that must be completed within a time limit of 180 minutes. SAP-C02 exam is available in English, Japanese, Korean, and Simplified Chinese.

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q15-Q20):

NEW QUESTION # 15
A financial services company receives a regular data feed from its credit card servicing partner Approximately 5.000 records are sent every 15 minutes in plaintext, delivered over HTTPS directly into an Amazon S3 bucket with server-side encryption. This feed contains sensitive credit card primary account number (PAN) data. The company needs to automatically mask the PAN before sending the data to another S3 bucket for additional internal processing. The company also needs to remove and merge specific fields, and then transform the record into JSON format Additionally, extra feeds are likely to be added in the future, so any design needs to be easily expandable.
Which solutions will meet these requirements?

Answer: E


NEW QUESTION # 16
A company runs a Java application that has complex dependencies on VMs that are in the company's data center. The application is stable. but the company wants to modernize the technology stack. The company wants to migrate the application to AWS and minimize the administrative overhead to maintain the servers.
Which solution will meet these requirements with the LEAST code changes?

Answer: C

Explanation:
By using AWS App2Container to migrate the application to Amazon ECS, the company can make the migration process easier. Additionally, using Amazon ECR to store the container images and granting the ECS task execution role permission to access the ECR image repository will minimize the administrative overhead to maintain the servers. Finally, configuring Amazon ECS to use an ALB and using the ALB to interact with the application will reduce the amount of code changes needed. This solution will allow the company to modernize their technology stack while minimizing the amount of code changes needed.
You can refer to the AWS App2Container documentation for more information on how to use this service: https://aws.amazon.com/app2container/ You can refer to the AWS Fargate documentation for more information on how to use this service: https://aws.amazon.com/fargate/ You can refer to the AWS Elastic Container Service documentation for more information on how to use this service: https://aws.amazon.com/ecs/ You can refer to the Amazon Elastic Container Registry documentation for more information on how to use this service: https://aws.amazon.com/ecr/ You can refer to the Application Load Balancer documentation for more information on how to use this service: https://aws.amazon.com/elasticloadbalancing/applicationloadbalancer/


NEW QUESTION # 17
A company is launching a new online game on Amazon EC2 instances. The game must be available globally.
The company plans to run the game in three AWS Regions: us-east-1, eu-west-1, and ap-southeast-1. The game's leaderboards. player inventory, and event status must be available acrossRegions.
A solutions architect must design a solution that will give any Region the ability to scale to handle the load of all Regions. Additionally, users must automatically connect to the Region that provides the least latency.
Which solution will meet these requirements with the LEAST operational overhead?

Answer: A

Explanation:
The best option is to use an Auto Scaling group, a Network Load Balancer, Amazon Route 53, and Amazon DynamoDB to create a scalable, highly available, and low-latency online game application. An Auto Scaling group can automatically adjust the number of EC2 instances based on the demand and traffic in each Region.
A Network Load Balancer can distribute the incoming traffic across the EC2 instances and handle millions of requests per second. Amazon Route 53 can use latency-based routing to direct the users to the Region that provides the best performance. Amazon DynamoDB global tables can replicate the game metadata across multiple Regions, ensuring consistency and availability of the data. This approach minimizes the operational overhead and cost, as it leverages fully managed services and avoids custom logic or replication.
Option A is not optimal because using an EC2 Spot Fleet can introduce the risk of losing the EC2 instances if the Spot price exceeds the bid price, which can affect the availability and performance of the game. Using AWS Global Accelerator can improve the network performance, but it is not necessary if Amazon Route 53 can already route the users to the closest Region. Using Amazon RDS for MySQL can store the game metadata, but it requires setting up read replicas and managing the replication lag across Regions, which can increase the complexity and cost.
Option B is not optimal because using geoproximity routing can direct the users to the Region that is geographically closer, but it does not account for the network latency or performance. Using MySQL databases on EC2 instances can store the game metadata, but it requires managing the EC2 instances, the database software, the backups, the patches, and the replication across Regions, which can increase the operational overhead and cost.
Option D is not optimal because using EC2 Global View is not a valid service. Using a custom DNS server on an EC2 instance can redirect the user to the Region that provides the lowest latency, but it requires developing and maintaining the custom logic, as well as managing the EC2 instance, which can increase the operational overhead and cost. Using Amazon Aurora global database can store the game metadata, but it is more expensive and complex than using Amazon DynamoDB global tables.
:
Auto Scaling groups
Network Load Balancer
Amazon Route 53
Amazon DynamoDB global tables


NEW QUESTION # 18
A company is planning to migrate an Amazon RDS for Oracle database to an RDS for PostgreSQL DB instance in another AWS account A solutions architect needs to design a migration strategy that will require no downtime and that will minimize the amount of time necessary to complete the migration The migration strategy must replicate all existing data and any new data that is created during the migration The target database must be identical to the source database at completion of the migration process All applications currently use an Amazon Route 53 CNAME record as their endpoint for communication with the RDS for Oracle DB instance The RDS for Oracle DB instance is in a private subnet Which combination of steps should the solutions architect take to meet these requirements? (Select THREE )

Answer: A,B,F

Explanation:
https://docs.aws.amazon.com/dms/latest/userguide/CHAP_Task.CDC.html


NEW QUESTION # 19
A company has on-premises Linux, Windows, and Ubuntu servers that run many applications. The servers run on physical machines and VMs. The company plans to migrate the servers to Amazon EC2 instances.
The company needs to accomplish the following goals:
* Measure actual server usage, system performance, and running processes.
* List system configurations.
* Understand details of the network connections between systems.
* Analyze application components and dependencies within on-premises workloads.
* Receive EC2 instance sizing recommendations from AWS.
Which solution will meet these requirements?

Answer: C

Explanation:
For migration planning, AWS provides specific tooling to discover on-premises servers, collect detailed performance and configuration data, and analyze application dependencies. The primary service for this purpose is AWS Application Discovery Service, which integrates with AWS Migration Hub.
The AWS Application Discovery Agent is installed on on-premises physical servers and VMs. It collects detailed information such as CPU, memory, and disk utilization; processes and services running on the system; system configuration details; and network connections between systems. This allows the company to understand how servers communicate, what applications are running, and what dependencies exist between components.
This data is sent to AWS Application Discovery Service and surfaced through AWS Migration Hub, where the company can view discovered servers, group them logically into applications, and analyze migration readiness. Migration Hub can use this collected data to provide recommendations for EC2 instance sizing that are based on actual on-premises utilization metrics, helping choose appropriate EC2 instance types and sizes.
Option C directly describes installing the AWS Application Discovery Agent, using AWS Migration Hub to discover and group servers into applications, and using Migration Hub to generate EC2 instance recommendations. This aligns with AWS's migration assessment tooling and meets all the stated goals:
performance measurement, system configuration listing, network connection understanding, dependency analysis, and instance sizing recommendations.
Option A uses AWS Systems Manager Agent and Application Manager. While Systems Manager can manage servers and collect some information, it is not the primary tool for detailed migration discovery, networking dependency mapping, and migration-focused analysis. It also suggests using AWS Pricing Calculator for instance recommendations, which requires manual input and does not automatically derive recommendations from observed utilization and dependencies.
Option B suggests using the Amazon Inspector agent to gather performance and usage information. Amazon Inspector is designed for vulnerability and security assessments, not for detailed migration discovery or dependency mapping. Additionally, AWS Compute Optimizer currently bases its recommendations on usage metrics from AWS resources, not on-premises servers.
Option D uses the CloudWatch agent to collect metrics and then Migration Hub and Compute Optimizer. The CloudWatch agent is not the standard agent for migration discovery and dependency analysis of on-premises workloads. Also, Compute Optimizer focuses on optimization of existing AWS resources rather than creating recommendations based on on-premises utilization.
Therefore, installing the AWS Application Discovery Agent and using AWS Migration Hub (option C) is the correct solution to satisfy all the requirements for migration assessment and EC2 sizing recommendations.
References:AWS documentation on AWS Application Discovery Service and AWS Migration Hub for discovering on-premises servers, analyzing dependencies, and planning migrations.AWS migration guidance on using discovery data to generate EC2 instance sizing recommendations.


NEW QUESTION # 20
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