SAP-C02완벽한인증자료 - SAP-C02최고품질예상문제모음

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Amazon SAP-C02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Topic 1: Design for new solutions | 29% | |
| Topic 2: Continuous improvement for existing solutions | 25% | |
| Topic 3: Design solutions for organizational complexity | 26% | |
| Topic 4: Accelerate workload migration and modernization | 20% | |
>> SAP-C02완벽한 인증자료 <<
SAP-C02최고품질 예상문제모음, SAP-C02최고품질 인증시험 대비자료
Itexamdump는 많은 분들이 Amazon SAP-C02인증시험을 응시하여 성공하도록 도와주는 사이트입니다. Itexamdump 의 SAP-C02덤프는 모두 엘리트한 전문가들이 만들어낸 만큼 시험문제의 적중률은 아주 높습니다. 거의 100%의 정확도를 자랑하고 있습니다. 아마 많은 유사한 사이트들도 많습니다. 이러한 사이트에서 학습가이드와 온라인서비스도 지원되고 있습니다만 Itexamdump 는 이미 이러한 SAP-C02 사이트를 뛰어넘은 실력으로 업계에서 우리만의 이미지를 지키고 있습니다. Itexamdump 는 정확한 문제와 답만 제공하고 또한 그 어느 사이트보다도 빠른 업데이트로 여러분의 인증시험을 안전하게 패스하도록 합니다.
최신 AWS Certified Solutions Architect SAP-C02 무료샘플문제 (Q110-Q115):
질문 # 110
A company's compliance audit reveals that some Amazon Elastic Block Store (Amazon EBS) volumes that were created in an AWS account were not encrypted. A solutions architect must Implement a solution to encrypt all new EBS volumes at rest Which solution will meet this requirement with the LEAST effort?
- A. Use AWS Audit Manager with data encryption.
- B. Create an AWS Config rule to detect the creation of a new EBS volume. Encrypt the volume by using AWS Systems Manager Automation.
- C. Create an Amazon EventBridge rule to detect the creation of unencrypted EBS volumes. Invoke an AWS Lambda function to delete noncompliant volumes.
- D. Turn in EBS encryption by default in all AWS Regions.
정답:D
설명:
The most effortless way to ensure that all new Amazon Elastic Block Store (EBS) volumes are encrypted at rest is to enable EBS encryption by default in all AWS Regions. This setting automatically encrypts all new EBS volumes and snapshots created in the account, thereby ensuring compliance with encryption policies without the need for manual intervention or additional monitoring.
질문 # 111
A company needs to create a centralized logging architecture for all of its AWS accounts. The architecture should provide near-real-time data analysis for all AWS CloudTrail logs and VPC Flow Logs across all AWS accounts. The company plans to use Amazon Elasticsearch Service (Amazon ES) to perform log analysis in the logging account.
Which strategy a solutions architect use to meet these requirements?
- A. Configure CloudTrail and VPC Flow Logs to send data to a log group in Amazon CloudWatch Logs in each AWS account. Create AWS Lambda functions in each AWS accounts to subscribe to the log groups and stream the data to an Amazon S3 bucket in the logging account. Create another Lambda function to load data from the S3 bucket to Amazon ES in the logging account.
- B. Configure CloudTrail and VPC Flow Logs in each AWS account to send data to a centralized Amazon S3 bucket in the logging account. Create and AWS Lambda function to load data from the S3 bucket to Amazon ES in the logging account.
- C. Configure CloudTrail and VPC Flow Logs to send data to a separate Amazon S3 bucket in each AWS account. Create an AWS Lambda function triggered by S3 events to copy the data to a centralized logging bucket. Create another Lambda function to load data from the S3 bucket to Amazon ES in the logging account.
- D. Configure CloudTrail and VPC Flow Logs to send data to a log group in Amazon CloudWatch account. Configure a CloudWatch subscription filter in each AWS account to send data to Amazon Kinesis Data Firehouse in the logging account. Load data from Kinesis Data Firehouse into Amazon ES in the logging account.
정답:D
설명:
https://aws.amazon.com/solutions/implementations/centralized-logging/
질문 # 112
A company has implemented a global multiplayer gaming platform. The platform requires gaming clients to have reliable, low-latency access to the server infrastructure that is hosted on a fleet of Amazon EC2 instances in a single AWS Region
The gaming clients use a custom TCP protocol to connect to the server infrastructure. The application architecture requires client IP addresses to be available to the server software
Which solution meets these requirements?
- A. Create an Application Load Balancer (ALB) and add the EC2 instances to a target group Create a set of Amazon Route 53 latency-based alias records that point to the DNS endpoint of the ALB Use X-Forwarded-For headers to preserve client IP addresses
- B. Create a Network Load Balancer (NLB), and add the EC2 instances to a target group Create an Amazon CloudFront Real Time Messaging Protocol (RTMP) distribution and configure the origin to point to the DNS endpoint of the NLB Use proxy protocol version 2 headers to preserve client IP addresses
- C. Use an AWS Direct Connect gateway to connect multiple Direct Connect locations in different Regions globally Configure Amazon Route 53 with geolocation routing to send traffic to the nearest Direct Connect location Associate the VPC that contains the EC2 instances with the Direct Connect gateway
- D. Create an accelerator in AWS Global Accelerator and configure the listener to point to a single endpoint group Add each of the EC2 instances as endpoints to the endpoint group Configure the endpoint group weighting equally across all of the EC2 endpoints
정답:C
질문 # 113
A life sciences company is using a combination of open source tools to manage data analysis workflows and Docker containers running on servers in its on-premises data center to process genomics data Sequencing data is generated and stored on a local storage area network (SAN), and then the data is processed. The research and development teams are running into capacity issues and have decided to re-architect their genomics analysis platform on AWS to scale based on workload demands and reduce the turnaround time from weeks to days The company has a high-speed AWS Direct Connect connection Sequencers will generate around 200 GB of data for each genome, and individual jobs can take several hours to process the data with ideal compute capacity. The end result will be stored in Amazon S3. The company is expecting 10-15 job requests each day Which solution meets these requirements?
- A. Use AWS DataSync to transfer the sequencing data to Amazon S3 Use S3 events to trigger an AWS Lambda function that starts an AWS Step Functions workflow Store the Docker images in Amazon Elastic Container Registry (Amazon ECR) and trigger AWS Batch to run the container and process the sequencing data
- B. Use an AWS Storage Gateway file gateway to transfer the sequencing data to Amazon S3 Use S3 events to trigger an AWS Batch job that runs on Amazon EC2 instances running the Docker containers to process the data
- C. Use regularly scheduled AWS Snowball Edge devices to transfer the sequencing data into AWS When AWS receives the Snowball Edge device and the data is loaded into Amazon S3 use S3 events to trigger an AWS Lambda function to process the data
- D. Use AWS Data Pipeline to transfer the sequencing data to Amazon S3 Use S3 events to trigger an Amazon EC2 Auto Scaling group to launch custom-AMI EC2 instances running the Docker containers to process the data
정답:A
설명:
Explanation
AWS DataSync can be used to transfer the sequencing data to Amazon S3, which is a more efficient and faster method than using Snowball Edge devices. Once the data is in S3, S3 events can trigger an AWS Lambda function that starts an AWS Step Functions workflow. The Docker images can be stored in Amazon Elastic Container Registry (Amazon ECR) and AWS Batch can be used to run the container and process the sequencing data.
질문 # 114
A company is building an automated pipeline that uses AWS Step Functions to orchestrate multiple stages. The pipeline includes a confirmation stage.
The company wants to avoid unnecessary compute consumption. The company must ensure that the workflow can remain pending over extended periods without state loss. The confirmation signal originates from a control-plane service that runs in a separate AWS account and is emitted asynchronously after human review. The solution must ensure that only the authorized external system can resume execution. The solution should not expose long-lived credentials.
Which solution will meet these requirements?
- A. Configure an Amazon EventBridge rule that periodically triggers execution resumption by reinvoking the workflow with inputs that reflect approval state and correlation identifiers.
- B. Configure an activity worker that retrieves tasks and holds the workflow execution open within its own long-running process until approval is observed externally.
- C. Configure a Task state that uses a callback pattern to provide a unique correlation token and to resume execution only when the external system returns that token after approval.
- D. Configure a Wait state with dynamically extended durations. Invoke an AWS Lambda function that checks approval status from the external system on each retry attempt.
정답:C
설명:
The callback pattern pauses a Standard Workflow without consuming compute and preserves execution state for extended periods. The external service can assume a tightly scoped cross- account IAM role with temporary credentials and call SendTaskSuccess or SendTaskFailure using the unique token, ensuring only the authorized system can resume the execution.
질문 # 115
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