Amazon SAP-C02 Dumps PDF - Right Preparation Method [2026]

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Amazon SAP-C02 Exam is a challenging but rewarding certification that validates an individual's expertise in designing and deploying complex AWS solutions. With the demand for skilled AWS professionals on the rise, earning this certification can open up new career opportunities and help professionals advance their careers in the fast-growing cloud computing industry.

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The SAP-C02 exam covers a broad range of topics related to AWS architecture and services, including designing and deploying enterprise-wide scalable operations on AWS, selecting appropriate AWS services to meet specific application and business requirements, designing and deploying fault-tolerant and highly available systems on AWS, and migrating complex multi-tier applications to AWS. SAP-C02 Exam also covers advanced topics such as designing and implementing hybrid architectures that integrate on-premises infrastructure with AWS cloud services, designing and implementing security and compliance policies on AWS, and designing and implementing cost-optimized solutions on AWS.

Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q857-Q862):

NEW QUESTION # 857
A company has mounted sensors to collect information about environmental parameters such as humidity and light throughout all the company's factories. The company needs to stream and analyze the data in the AWS Cloud in real time. If any of the parameters fall out of acceptable ranges, the factory operations team must receive a notification immediately.
Which solution will meet these requirements?

A. Stream the data to an Amazon Kinesis Data Analytics application. I-Jse an automatically scaled and containerized service in Amazon Elastic Container Service (Amazon ECS) to consume and analyze the data. use Amazon Simple Email Service (Amazon SES) to notify the operations team.
B. Stream the data to an Amazon Kinesis data stream. Create an AWS Lambda function to consume the Kinesis data stream and to analyze the data. Use Amazon Simple Notification Service (Amazon SNS) to notify the operations team.
C. Stream the data to an Amazon Managed Streaming for Apache Kafka (Amazon MSK) cluster. Set up a trigger in Amazon MSK to invoke an AWS Fargate task to analyze the data. Use Amazon Simple Email Service (Amazon SES) to notify the operations team.
D. Stream the data to an Amazon Kinesis Data Firehose delivery stream. Use AWS Step Functions to consume and analyze the data in the Kinesis Data Firehose delivery stream. use Amazon Simple Notification Service (Amazon SNS) to notify the operations team.

Answer: B

Explanation:
The best solution is to stream the data to an Amazon Kinesis data stream and create an AWS Lambda function to consume the Kinesis data stream and to analyze the data. Amazon Kinesis is a web service that can collect, process, and analyze real-time streaming data from various sources, such as sensors. AWS Lambda is a serverless computing service that can run code in response to events, such as incoming data from a Kinesis data stream. By using AWS Lambda, the company can avoid provisioning or managing servers and scale automatically based on the demand. Amazon Simple Notification Service (Amazon SNS) is a web service that enables applications to send and receive notifications from the cloud. By using Amazon SNS, the company can notify the operations team immediately if any of the parameters fall out of acceptable ranges. This solution meets all the requirements of the company.

NEW QUESTION # 858
A company needs to establish a connection from its on-premises data center to AWS. The company needs to connect all of its VPCs that are located in different AWS Regions with transitive routing capabilities between VPC networks. The company also must reduce network outbound traffic costs, increase bandwidth throughput, and provide a consistent network experience for end users.
Which solution will meet these requirements?

A. Create an AWS Site-to-Site VPN connection between the on-premises data center and a new central VPC. Use a transit gateway with dynamic routing. Connect the transit gateway to all other VPCs.
B. Create an AWS Direct Connect connection between the on-premises data center and AWS Establish an AWS Site-to-Site VPN connection between all VPCs in each Region. Create VPC peering connections that initiate from the central VPC to all other VPCs.
C. Create an AWS Direct Connect connection between the on-premises data center and AWS. Provision a transit VIF, and connect it to a Direct Connect gateway. Connect the Direct Connect gateway to all the other VPCs by using a transit gateway in each Region.
D. Create an AWS Site-to-Site VPN connection between the on-premises data center and a new central VPC. Create VPC peering connections that initiate from the central VPC to all other VPCs.

Answer: C

Explanation:
Explanation
Transit GW + Direct Connect GW + Transit VIF + enabled SiteLink if two different DX locations
https://aws.amazon.com/blogs/networking-and-content-delivery/introducing-aws-direct-connect-sitelink/

NEW QUESTION # 859
A company that develops consumer electronics with offices in Europe and Asia has 60 TB of software images stored on premises in Europe The company wants to transfer the images to an Amazon S3 bucket in the ap- northeast-1 Region New software images are created daily and must be encrypted in transit The company needs a solution that does not require custom development to automatically transfer all existing and new software images to Amazon S3 What is the next step in the transfer process?

A. Deploy an AWS DataSync agent and configure a task to transfer the images to the S3 bucket
B. Transfer the images over a Site-to-Site VPN connection using the S3 API with multipart upload
C. Use an AWS Snowball device to transfer the images with the S3 bucket as the target
D. Configure Amazon Kinesis Data Firehose to transfer the images using S3 Transfer Acceleration

Answer: A

Explanation:
* Deploy AWS DataSync Agent:
* Install the DataSync agent on your on-premises environment. This can be done by downloading the agent as a virtual appliance and deploying it on VMware ESXi, Hyper-V, or KVM hypervisors.
* Configure Source and Destination Locations:
* Set up the source location pointing to your on-premises storage where the software images are currently stored.
* Configure the destination location to point to your Amazon S3 bucket in the ap-northeast-1 Region.
* Create and Schedule DataSync Tasks:
* Create a DataSync task to automate the transfer process. This task will specify the source and destination locations and set options for how the data should be transferred.
* Schedule the task to run at intervals that suit your data transfer requirements, ensuring new images are transferred as they are created.
* Encryption in Transit:
* AWS DataSync automatically encrypts data in transit using TLS, ensuring that your data is secure during the transfer process.
* Monitoring and Management:
* Use the DataSync console or the AWS CLI to monitor the progress of your data transfers and manage the tasks.
AWS DataSync is an efficient solution that automates and accelerates the process of transferring large amounts of data to AWS, handling encryption, data integrity checks, and optimizing network usage without requiring custom development.
References
* AWS Storage Blog on DataSync#40#.
* AWS DataSync Documentation#41#.

NEW QUESTION # 860
A company implements a containerized application by using Amazon Elastic Container Service (Amazon ECS) and Amazon API Gateway. The application data is stored in Amazon Aurora databases and Amazon DynamoDB databases. The company automates infrastructure provisioning by using AWS CloudFormalion. The company automates application deployment by using AWS CodePipeline. A solutions architect needs to implement a disaster recovery (DR) strategy that meets an RPO of 2 hours and an RTO of 4 hours.
Which solution will meet these requirements MOST cost-effectively?

A. Set up an Aurora global database and DynamoDB global tables to replicate the databases to a secondary AWS Region.
In the primary Region and in the secondary Region, configure an API Gateway API with a Regional endpoint.
Implement Amazon Route 53 failover routing to switch traffic from the primary Region to the secondary Region.
B. Set up an Aurora global database and DynamoDB global tables to replicate the databases to a secondary AWS Region.
In the primary Region and in the secondary Region, configure an API Gateway API with a Regional endpoint.
Implement Amazon CloudFront with origin failover to route traffic to the secondary Region during a DR scenario.
C. Use AWS Backup to create backups of the Aurora databases and the DynamoDB databases in a secondary AWS Region.
In the primary Region and in the secondary Region, configure an API Gateway API with a Regional endpoint.
Implement Amazon Route 53 failover routing to switch traffic from the primary Region to the secondary Region
D. Use AWS Database Migration Service (AWS DMS) Amazon EventBridge (Amazon CloudWatch Events), and AWS Lambda to replicate the Aurora databases to a secondary AWS Region.
Use DynamoDB Streams. EventBridge (CloudWatch Events), and Lambda to replicate the DynamoDB databases to the secondary Region.
In the primary Region and In the secondary Region, configure an API Gateway API with a Regional endpoint.
Implement Amazon Route 53 failover routing to switch traffic from the primary Region to the secondary Region.

Answer: C

Explanation:
https://docs.aws.amazon.com/aws-backup/latest/devguide/cross-region-backup.html

NEW QUESTION # 861
A company is using Amazon SageMaker instances and SageMaker APIs to train machine learning (ML) models. The SageMaker instances are deployed in a VPC that does not have access to or from the internet. Datasets for ML model training are stored in an Amazon S3 bucket. Interface VPC endpoints provide access to Amazon S3 and the SageMaker APIs.
Occasionally, data scientists require access to a private Git repository to update application packages that they use as part of their workflow. The company must provide access to the Git repository while ensuring that the SageMaker instances remain isolated from the internet.
Which solution meets these requirements with the LEAST operational overhead?

A. Add the Git repository as a resource for SageMaker by referencing the remote URL. Add the username to the URL that is required to access the repository.
B. Create a NAT gateway in the VPC. Configure VPC routes to allow access to the internet with a network ACL that allows access to only the Git repository URL.
C. Add the Git repository as a resource for SageMaker by referencing the remote URL. Configure AWS secrets Manager to use Git credentials to access the repository.
D. Create a NAT gateway in the VPC. Configure VPC routes to allow access to the internet.
Configure network ACL rules that allow the SageMaker instances access to only the Git repository URL.

Answer: C

Explanation:
The best solution is to use AWS Secrets Manager to store the Git credentials and provide access to the private Git repository securely. This can be integrated with SageMaker to authenticate data scientists without exposing the SageMaker instances to the internet. By referencing the Git repository as a resource and using Secrets Manager for credentials, the solution ensures that SageMaker instances remain isolated from the internet while allowing secure access to the Git repository.

NEW QUESTION # 862
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