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The SAP-C02 exam consists of multiple-choice and multiple-response questions that test your knowledge of AWS architecture and best practices. SAP-C02 exam also includes scenario-based questions that simulate real-world situations and require you to apply your knowledge of AWS to solve problems. SAP-C02 Exam is timed and lasts for 180 minutes, and you must score at least 750 out of 1000 to pass.

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The SAP-C02 Certification Exam covers a wide range of topics, including advanced networking concepts such as VPC peering and transit gateways, security concepts such as encryption and access control, cost optimization strategies such as reserved instances and spot instances, and application design concepts such as microservices and serverless architectures. Candidates should have a solid understanding of these topics and be able to apply them to real-world scenarios.

Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q876-Q881):

NEW QUESTION # 876
A company is collecting data from a large set of IoT devices. The data is stored in an Amazon S3 data lake. Data scientists perform analytics on Amazon EC2 instances that run in two public subnets in a VPC in a separate AWS account.
The data scientists need access to the data lake from the EC2 instances. The EC2 instances already have an assigned role with permissions to access Amazon S3.
According to company policies, only authorized networks are allowed to have access to the IoT data.
Which combination of steps should a solutions architect take to meet these requirements?
(Choose two.)

A. Create a gateway VPC endpoint for Amazon S3 in the data scientists' VPC.
B. Update the VPC route table to route S3 traffic to an S3 access point.
C. Add an S3 bucket policy with a condition that allows the s3:GetObject action when the value for the s3:DataAccessPointArn condition key is a valid access point ARN.
D. Create an S3 access point in the data scientists' AWS account for the data lake.
E. Update the EC2 instance role. Add a policy with a condition that allows the s3:GetObject action when the value for the s3:DataAccessPointArn condition key is a valid access point ARN.

Answer: A,C

NEW QUESTION # 877
A company has deployed its database on an Amazon RDS for MySQL DB instance in the us-east-1 Region.
The company needs to make its data available to customers in Europe. The customers in Europe must have access to the same data as customers in the United States (US) and will not tolerate high application latency or stale data. The customers in Europe and the customers in the US need to write to the database. Both groups of customers need to see updates from the other group in real time.
Which solution will meet these requirements?

A. Create an Amazon Aurora MySQL replica of the RDS for MySQL DB instance. Pause application writes to the RDS DB instance. Promote the Aurora Replica to a standalone DB cluster. Reconfigure the application to use the Aurora database and resume writes. Add eu-west-1 as a secondary Region to the
06 cluster. Enable write forwarding on the DB cluster. Deploy the application in eu-west-1. Configure the application to use the Aurora MySQL endpoint in eu- west-1.
B. Copy the most recent snapshot from the RDS for MySQL DB instance to eu-west-1. Create a new RDS for MySQL DB instance in eu-west-1 from the snapshot. Configure MySQL logical replication from us-east-1 to eu-west-1. Enable write forwarding on the DB cluster. Deploy the application in eu-west-1.
Configure the application to use the RDS for MySQL endpoint in eu-west-1.
C. Convert the RDS for MySQL DB instance to an Amazon Aurora MySQL DB cluster. Add eu-west-1 as a secondary Region to the DB cluster. Enable write forwarding on the DB cluster. Deploy the application in eu-west-1. Configure the application to use the Aurora MySQL endpoint in eu-west-1.
D. Add a cross-Region replica in eu-west-1 for the RDS for MySQL DB instance. Configure the replica to replicate write queries back to the primary DB instance. Deploy the application in eu-west-1. Configure the application to use the RDS for MySQL endpoint in eu-west-1.

Answer: C

Explanation:
Explanation
The company should use AWS Amplify to create a static website for uploads of media files. The company should use Amplify Hosting to serve the website through Amazon CloudFront. The company should use Amazon S3 to store the uploaded media files. The company should use Amazon Cognito to authenticate users.
This solution will meet the requirements with the least operational overhead because AWS Amplify is a complete solution that lets frontend web and mobile developers easily build, ship, and host full-stack applications on AWS, with the flexibility to leverage the breadth of AWS services as use cases evolve. No cloud expertise needed1. By using AWS Amplify, the company can refactor the application to a serverless architecture that reduces operational complexity and costs. AWS Amplify offers the following features and benefits:
Amplify Studio: A visual interface that enables you to build and deploy a full-stack app quickly, including frontend UI and backend.
Amplify CLI: A local toolchain that enables you to configure and manage an app backend with just a few commands.
Amplify Libraries: Open-source client libraries that enable you to build cloud-powered mobile and web apps.
Amplify UI Components: Open-source design system with cloud-connected components for building feature-rich apps fast.
Amplify Hosting: Fully managed CI/CD and hosting for fast, secure, and reliable static and server-side rendered apps.
By using AWS Amplify to create a static website for uploads of media files, the company can leverage Amplify Studio to visually build a pixel-perfect UI and connect it to a cloud backend in clicks. By using Amplify Hosting to serve the website through Amazon CloudFront, the company can easily deploy its web app or website to the fast, secure, and reliable AWS content delivery network (CDN), with hundreds of points of presence globally. By using Amazon S3 to store the uploaded media files, the company can benefit from a highly scalable, durable, and cost-effective object storage service that can handle any amount of data2. By using Amazon Cognito to authenticate users, the company can add user sign-up, sign-in, and access control to its web app with a fully managed service that scales to support millions of users .
The other options are not correct because:
Using AWS Application Migration Service to migrate the application server to Amazon EC2 instances would not refactor the application or accelerate development. AWS Application Migration Service (AWS MGN) is a service that enables you to migrate physical servers, virtual machines (VMs), or cloud servers from any source infrastructure to AWS without requiring agents or specialized tools. However, this would not address the challenges of overutilization and data uploads failures. It would also not reduce operational overhead or costs compared to a serverless architecture.
Creating a static website for uploads of media files and using AWS AppSync to create an API would not be as simple or fast as using AWS Amplify. AWS AppSync is a service that enables you to create flexible APIs for securely accessing, manipulating, and combining data from one or more data sources.
However, this would require more configuration and management than using Amplify Studio and Amplify Hosting. It would also not provide authentication features like Amazon Cognito.
Setting up AWS IAM Identity Center (AWS Single Sign-On) to give users the ability to sign in to the application would not be as suitable as using Amazon Cognito. AWS Single Sign-On (AWS SSO) is a service that enables you to centrally manage SSO access and user permissions across multiple AWS accounts and business applications. However, this service is designed for enterprise customers who need to manage access for employees or partners across multiple resources. It is not intended for authenticating end users of web or mobile apps.
References:
https://aws.amazon.com/amplify/
https://aws.amazon.com/s3/
https://aws.amazon.com/cognito/
https://aws.amazon.com/mgn/
https://aws.amazon.com/appsync/
https://aws.amazon.com/single-sign-on/

NEW QUESTION # 878
A company is running a data-intensive application on AWS. The application runs on a cluster of hundreds of Amazon EC2 instances. A shared file system also runs on several EC2 instances that store 200 TB of data. The application reads and modifies the data on the shared file system and generates a report. The job runs once monthly, reads a subset of the files from the shared file system, and takes about 72 hours to complete. The compute instances scale in an Auto Scaling group, but the instances that host the shared file system run continuously. The compute and storage instances are all in the same AWS Region.
A solutions architect needs to reduce costs by replacing the shared file system instances. The file system must provide high performance access to the needed data for the duration of the 72-hour run.
Which solution will provide the LARGEST overall cost reduction while meeting these requirements?

A. Migrate the data from the existing shared file system to an Amazon S3 bucket that uses the S3 Intelligent-Tiering storage class. Before the job runs each month, use Amazon FSx for Lustre to create a new file system with the data from Amazon S3 by using lazy loading. Use the new file system as the shared storage for the duration of the job. Delete the file system when the job is complete.
B. Migrate the data from the existing shared file system to an Amazon S3 bucket. Before the job runs each month, use AWS Storage Gateway to create a file gateway with the data from Amazon S3. Use the file gateway as the shared storage for the job. Delete the file gateway when the job is complete.
C. Migrate the data from the existing shared file system to an Amazon S3 bucket that uses the S3 Standard storage class. Before the job runs each month, use Amazon FSx for Lustre to create a new file system with the data from Amazon S3 by using batch loading. Use the new file system as the shared storage for the duration of the job. Delete the file system when the job is complete.
D. Migrate the data from the existing shared file system to a large Amazon Elastic Block Store (Amazon EBS) volume with Multi-Attach enabled. Attach the EBS volume to each of the instances by using a user data script in the Auto Scaling group launch template. Use the EBS volume as the shared storage for the duration of the job. Detach the EBS volume when the job is complete.

Answer: A

Explanation:
Explanation
https://aws.amazon.com/blogs/storage/new-enhancements-for-moving-data-between-amazon-fsx-for-lustre-and-a

NEW QUESTION # 879
A company is using an Amazon ECS cluster to run a data-processing application. Different business groups share ECS services in the ECS cluster. The ECS cluster runs on Amazon EC2 instances. ECS cluster auto scaling is enabled.
The company needs to assign EC2 costs of ECS tasks to the appropriate business groups.
Which solution will meet this requirement with the LEAST operational overhead?

A. Create an AWS cost category for each business group. Define split charge rules for the ECS cluster for the business groups. Create an AWS Cost and Usage Report.
B. Create a cost allocation tag on the EC2 Auto Scaling group to indicate the business group. Use AWS Cost Explorer to assign EC2 costs to the appropriate business group.
C. Create a separate ECS cluster for each business group. Use AWS Cost Explorer to assign EC2 costs to the appropriate business group.
D. Enable split cost allocation data in AWS Cost Explorer. Create an AWS Cost and Usage Report that uses tags to assign EC2 costs to the appropriate business group.

Answer: D

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
B is correct because the requirement is to allocate shared EC2 infrastructure costs (ECS on EC2, shared cluster) down to the business groups with the least operational effort. With shared compute, the EC2 line-item charges are not naturally per "task," so you need a cost allocation feature that can split shared costs using workload metadata. Split cost allocation data combined with the AWS Cost and Usage Report (CUR) and resource tags provides the standard AWS mechanism to distribute ("split") shared resource costs across consumers for chargeback/showback reporting. This avoids operationally heavy changes (like redesigning clusters) and supports automated reporting.
Why the other options are incorrect:
* A: Tagging the Auto Scaling group can only attribute costs at the ASG level, not split costs between multiple business groups sharing the same cluster capacity. It does not solve per-business-group allocation when capacity is shared.
* C: Separate clusters per group would work but is higher operational overhead (more clusters to manage, scaling policies, capacity planning, governance), which violates the "least operational overhead" requirement.
* D: Cost Categories are useful for mapping and organizing costs, but by themselves they do not solve the underlying need to split shared EC2 costs among multiple consumers unless you already have an accurate split basis. Option B directly targets split allocation of shared costs with tagging and CUR.
References:
AWS Cost Explorer Documentation: split cost allocation data and cost analysis capabilities AWS Cost and Usage Report Documentation: detailed line-item reporting and tag-based cost allocation AWS Billing and Cost Management Documentation: activating and using cost allocation tags AWS Certified Solutions Architect - Professional (SAP-C02) Exam Guide: cost allocation, tagging strategies, and chargeback/showback design for shared platforms

NEW QUESTION # 880
A company is building a solution in the AWS Cloud. Thousands or devices will connect to the solution and send data. Each device needs to be able to send and receive data in real time over the MQTT protocol. Each device must authenticate by using a unique X.509 certificate.
Which solution will meet these requirements with the LEAST operational overhead?

A. Set up an Amazon API Gateway HTTP API and a Network Load Balancer (NLB). Create integration between API Gateway and the NLB. Configure a mutual TLS certificate authorizer on the HTTP API.Run an MQTT broker on an Amazon EC2 instance that the NLB targets. Connect each device to the NLB.
B. Set up AWS loT Core. For each device, create a corresponding AWS loT thing and provision a certificate. Connect each device to AWS loT Core.
C. Set up AWS loT Core. For each device, create a corresponding Amazon MQ queue and provision a certificate. Connect each device to Amazon MQ.
D. Create a Network Load Balancer (NLB) and configure it with an AWS Lambda authorizer. Run an MQTT broker on Amazon EC2 instances in an Auto Scaling group. Set the Auto Scaling group as the target for the NLB. Connect each device to the NLB.

Answer: B

Explanation:
This solution requires minimal operational overhead, as it only requires setting up AWS IoT Core and creating a thing for each device. (Reference: AWS Certified Solutions Architect - Professional Official Amazon Text Book, Page 537) AWS IoT Core is a fully managed service that enables secure, bi-directional communication between internet- connected devices and the AWS Cloud. It supports the MQTT protocol and includes built-in device authentication and access control. By using AWS IoT Core, the company can easily provision and manage the
X.509 certificates for each device, and connect the devices to the service with minimal operational overhead.

NEW QUESTION # 881
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