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The AWS Certified Solutions Architect - Professional (SAP-C02) exam covers a wide range of topics, including AWS services and their integration, AWS architecture best practices, disaster recovery and business continuity, migration strategies, and security best practices. SAP-C02 Exam also tests the candidate's knowledge of AWS cost optimization, deployment and management, and troubleshooting.

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Quiz SAP-C02 - AWS Certified Solutions Architect - Professional (SAP-C02) Authoritative Reliable Test Bootcamp

The AWS Certified Solutions Architect - Professional (SAP-C02) SAP-C02 certification is a unique way to level up your knowledge and skills. With the AWS Certified Solutions Architect - Professional (SAP-C02) SAP-C02 credential, you become eligible to get high-paying jobs in the constantly advancing tech sector. Success in the Amazon SAP-C02 examination also boosts your skills to land promotions within your current organization. Are you looking for a simple and quick way to crack the Amazon SAP-C02 examination? If you are, then rely on SAP-C02 Exam Dumps.

Successfully passing the Amazon SAP-C02 Certification Exam can lead to many career opportunities, including becoming a certified AWS solutions architect, a senior cloud architect, or a cloud consultant. AWS Certified Solutions Architect - Professional (SAP-C02) certification demonstrates a professional's ability to design and deploy scalable and highly available systems on AWS, which is a highly valued skill in the industry.

Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q45-Q50):

NEW QUESTION # 45
A company wants to migrate its workloads from on premises to AWS. The workloads run on Linux and Windows. The company has a large on-premises intra structure that consists of physical machines and VMs that host numerous applications.
The company must capture details about the system configuration. system performance. running processure and network coi.net lions of its o. -premises ,on boards. The company also must divide the on-premises applications into groups for AWS migrations. The company needs recommendations for Amazon EC2 instance types so that the company can run its workloads on AWS in the most cost-effective manner.
Which combination of steps should a solutions architect take to meet these requirements? (Select THREE.)

A. Import data about server sizes into AWS Trusted Advisor. Follow the recommendations for cost optimization.
B. Assess the existing applications by installing AWS Application Discovery Agent on the physical machines and VMs.
C. Group servers into applications for migration by using AWS Migration Hub.
D. Group servers into applications for migration by using AWS Systems Manager Application Manager.
E. Assess the existing applications by installing AWS Systems Manager Agent on the physical machines and VMs
F. Generate recommended instance types and associated costs by using AWS Migration Hub.

Answer: B,C,E

Explanation:
1. The AWS Application Discovery Service (ADF) is a service that helps you plan your migration to AWS by identifying the servers and applications running in your on-premises data centers. By installing the ADF agent on your physical machines and VMs, you can collect information about the system configuration, performance metrics, and running processes of your workloads.
2. The AWS Systems Manager Agent (SSM) is a lightweight agent that you can install on your on-premises servers and VMs to collect operational data and automate management tasks such as software inventory and patch management.
3. AWS Migration Hub is a service that provides a central location to track the status of your migration and group servers into applications for migration. This can help you organize your migration effort and ensure that all the necessary steps are taken to migrate each application.
Reference:
AWS Application Discovery Service: https://aws.amazon.com/application-discovery/ AWS Systems Manager: https://aws.amazon.com/systems-manager/ AWS Migration Hub: https://aws.amazon.com/migration-hub/

NEW QUESTION # 46
A company is hosting an image-processing service on AWS in a VPC. The VPC extends across two Availability Zones. Each Availability Zone contains one public subnet and one private subnet.
The service runs on Amazon EC2 instances in the private subnets.
An Application Load Balancer in the public subnets is in front of the service.
The service needs to communicate with the internet and does so through two NAT gateways.
The service uses Amazon S3 for image storage.
The EC2 instances retrieve approximately of data from an S3 bucket each day.
The company has promoted the service as highly secure. A solutions architect must reduce cloud expenditures as much as possible without compromising the service's security posture or increasing the time spent on ongoing operations.
Which solution will meet these requirements?

A. Set up an S3 gateway VPC endpoint in the VPC. Attach an endpoint policy to the endpoint to allow the required actions on the S3 bucket.
B. Replace the NAT gateways with NAT instances. In the VPC route table, create a route from the private subnets to the NAT instances.
C. Move the EC2 instances to the public subnets. Remove the NAT gateways.
D. Attach an Amazon Elastic File System (Amazon EFS) volume to the EC2 instances. Host the image on the EFS volume.

Answer: A

Explanation:
Create Amazon S3 gateway endpoint in the VPC and add a VPC endpoint policy. This VPC endpoint policy will have a statement that allows S3 access only via access points owned by the organization.

NEW QUESTION # 47
A company wants to back up its on-premises intranet application to the AWS Cloud. The company wants to use AWS Elastic Disaster Recovery for the backup solution.
The company requires that replication traffic must travel across a private dedicated connection. The application must not be accessible from the public internet. The solution cannot consume more than 75% of the available bandwidth between the on-premises network and AWS.
Which combination of steps will meet these requirements? (Select THREE.)

A. Configure the replication servers to use private IP addresses for data replication. Configure throttling on the replication instances so that the Elastic Disaster Recovery server bandwidth does not exceed 75% of the available bandwidth.
B. Configure the recovery instance's private IP address to match the source server ' s private IP address.Configure throttling on the recovery instances so that the total bandwidth the recovery instances consume does not exceed 75% of the available bandwidth.
C. Create a VPC that has at least two public subnets, a virtual private gateway, and an internet gateway.
D. Create an AWS Direct Connect connection and a Direct Connect gateway between the on-premises network and the target AWS network.
E. Create a VPC that has at least two private subnets, two NAT gateways, and a virtual private gateway.
F. Create an AWS Site-to-Site VPN connection between the on-premises network and the target AWS network. Configure Quality of Service (QoS) to ensure that the backup does not exceed 75% of the available bandwidth.

Answer: A,D,E

Explanation:
The requirement says replication must use a private dedicated connection, so AWS Direct Connect with a Direct Connect gateway is the correct network path, not Site-to-Site VPN. AWS Elastic Disaster Recovery supports data routing and throttling controls; by default, replication can use the public internet, but selecting private IP data replication routes replication traffic privately. Bandwidth throttling is also part of Elastic Disaster Recovery's data routing and throttling configuration, which directly addresses the 75% bandwidth limit. The target VPC should use private subnets and a virtual private gateway so the recovery environment is not exposed publicly. Public subnets and an internet gateway violate the requirement. Matching the recovery instance's private IP is a launch/failover concern, not the correct control for replication traffic routing and throttling.

NEW QUESTION # 48
A company needs to run large batch-processing jobs on data that is stored in an Amazon S3 bucket. The jobs perform simulations. The results of the jobs are not time sensitive, and the process can withstand interruptions.
Each job must process 15-20 GB of data when the data is stored in the S3 bucket. The company will store the output from the jobs in a different Amazon S3 bucket for further analysis.
Which solution will meet these requirements MOST cost-effectively?

A. Create an AWS Batch compute environment that includes Amazon EC2 On-Demand Instances and Spot Instances. Specify the SPOT_CAPACITY_OPTIMIZED allocation strategy for the Spot Instances.
B. The workload consists of large batch-processing simulation jobs that read 15-20 GB per job from Amazon S3, write results back to S3, are not time sensitive, and can tolerate interruptions. These characteristics are ideal for using EC2 Spot Instances, which provide steep discounts compared to On- Demand pricing in exchange for potential interruptions.
AWS Batch is designed specifically for batch and simulation workloads. It can dynamically provision compute resources, manage job queues, retry failed jobs, and integrate tightly with EC2 Spot Instances.
Using an AWS Batch compute environment that is configured to use EC2 Spot Instances with the SPOT_CAPACITY_OPTIMIZED allocation strategy allows AWS Batch to choose the lowest interruption-risk Spot capacity pools automatically while still giving the largest cost savings.
C. Create a serverless data pipeline. Use AWS Step Functions for orchestration. Use AWS Lambda functions with provisioned capacity to process the data.
D. Create an AWS Batch compute environment that includes Amazon EC2 Spot Instances. Specify the SPOT_CAPACITY_OPTIMIZED allocation strategy.
E. Use Amazon EKS to run the processing jobs. Use managed node groups that contain a combination of Amazon EC2 On-Demand Instances and Spot Instances.

Answer: B

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
Option B leverages these capabilities. It creates an AWS Batch compute environment using only Spot Instances and uses the SPOT_CAPACITY_OPTIMIZED allocation strategy to select capacity across instance types with lower interruption rates. Since the simulations are not time sensitive and can withstand interruptions, the risk of Spot interruptions is acceptable, and AWS Batch will re-run interrupted jobs as needed. This combination provides the most cost-effective solution while minimizing operational overhead for job scheduling and capacity management.
Option A uses Lambda with Step Functions. Lambda has limits on memory, runtime, and payload size, making it a poor fit for processing 15-20 GB of data per job. In addition, the concurrency and invocation cost for large-scale, long-running simulation workloads would be higher and less cost- effective than EC2 Spot Instances.
Option C mixes On-Demand and Spot Instances. While this can provide reliability for more time- critical workloads, it is less cost-effective than a pure Spot configuration when the workload explicitly can tolerate interruptions and is not time sensitive.
Option D uses Amazon EKS with a mix of On-Demand and Spot Instances. While this can be made to work, it requires managing Kubernetes clusters, node groups, and job scheduling, which introduces more operational complexity than using AWS Batch, and the inclusion of On-Demand capacity reduces cost-effectiveness compared to pure Spot-based batch processing.Therefore, using AWS Batch with EC2 Spot Instances and the SPOT_CAPACITY_OPTIMIZED allocation strategy (option B) is the most cost-effective solution for this tolerant, batch-processing workload.
References:AWS documentation on AWS Batch for running batch and simulation jobs.AWS guidance on using EC2 Spot Instances and the SPOT_CAPACITY_OPTIMIZED allocation strategy for cost-effective, interruption-tolerant workloads.

NEW QUESTION # 49
A company is currently using AWS CodeCommit for its source control and AWS CodePipeline for continuous integration. The pipeline has a build stage for building the artifacts, which is then staged in an Amazon S3 bucket.
The company has identified various improvement opportunities in the existing process and a solutions architect has been given the following requirements
* Create a new pipeline to support feature development
* Support feature development without impacting production applications
* Incorporate continuous testing with unit tests
* Isolate development and production artifacts
* Support the capability to merge tested code into production code
How should the solutions architect achieve these requirements?

A. Create a separate CodeCommit repository for feature development and use it to trigger the pipeline Use AWS Lambda for running unit tests Use AWS CodeBuild to stage the artifacts within different S3 buckets in the same production account
B. Trigger a separate pipeline from CodeCommit tags Use Jenkins for running unit tests Create a stage in the pipeline with S3 as the target for staging the artifacts within an S3 bucket in a separate testing account.
C. Trigger a separate pipeline from CodeCommit feature branches Use AWS Lambda for running unit tests Use AWS CodeDeploy to stage the artifacts within an S3 bucket in a separate testing account
D. Trigger a separate pipeline from CodeCommit feature branches Use AWS CodeBuild for running unit tests Use CodeBuild to stage the artifacts within an S3 bucket in a separate testing account

Answer: D

NEW QUESTION # 50
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