SAP-C02日本語対策問題集｜AWS Certified Solutions Architect - Professional (SAP-C02)に便利します

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Amazon SAP-C02 Exam Overview:

Certification Vendor:	Amazon Web Services (AWS)
Exam Name:	AWS Certified Solutions Architect - Professional
Exam Number:	SAP-C02
Available Languages:	Korean, Simplified Chinese, Portuguese (Brazil), Japanese, English
Passing Score:	720/1000
Certificate Validity Period:	3 years
Related Certifications:	AWS Certified SysOps Administrator - Associate AWS Certified Solutions Architect - Associate (SAA-C03) AWS Certified Developer - Associate
Real Exam Qty:	75
Exam Price:	$300 USD
Exam Format:	Multiple choice, Multiple response
Exam Duration:	180 minutes
Sample Questions:	Amazon SAP-C02 Sample Questions
Exam Way:	Proctored exam at Pearson VUE testing centers or online proctored (where available)
Pre Condition:	Recommended: AWS Certified Solutions Architect – Associate or equivalent experience. Minimum 2 years of hands-on experience designing and deploying scalable, highly available, and fault-tolerant systems on AWS.
Official Syllabus URL:	https://aws.amazon.com/certification/certified-solutions-architect-professional/

>> SAP-C02日本語対策問題集 <<

SAP-C02最新試験、SAP-C02試験資料

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Amazon SAP-C02（AWS Certified Solutions Architect-Professional）認定試験は、Amazon Webでスケーラブル、フォールトトレラント、非常に利用可能なシステムの設計と展開の専門知識を検証しようとしているIT専門家にとって非常に求められている認定です。サービス（AWS）プラットフォーム。この認定は、AWS認定ソリューションアーキテクト - アソシエイト認定をすでに達成しており、AWSソリューションの設計と展開の重要な経験を持っている個人を対象としています。

SAP-C02試験は、AWS Elastic Beanstalk、AWS Lambda、AWS CloudFormation、AWS Identity and Access Management（IAM）、AWS Elastic Load Balancing（ELB）およびAmazon RDSなど、さまざまなAWSサービスと機能に関する候補者の知識とスキルをテストするよう設計されています。試験では、セキュリティ、コスト最適化、パフォーマンスチューニングなどのトピックもカバーされています。この試験に合格することで、候補者はビジネス要件を満たし、高い可用性と拡張性を確保するように設計された複雑なAWSベースのアプリケーションを設計および展開する方法について深い理解を示すことができます。

SAP-C02試験に合格することは、AWS上で複雑でスケーラブルで高可用性のシステムを設計・展開するために必要な技術スキルと知識を持っていることを示しています。この認定は雇用主から高く評価され、より高い給与と優れた職の機会をもたらすことができます。また、最新のAWSテクノロジーを学び、習得するために時間と労力を投資することへのあなたのキャリアに対するコミットメントと意欲を示しています。

Amazon AWS Certified Solutions Architect - Professional (SAP-C02) 認定 SAP-C02 試験問題 (Q197-Q202):

質問 # 197
A company has an loT platform that runs in an on-premises environment. The platform consists of a server that connects to loT devices by using the MQTT protocol. The platform collects telemetry data from the devices at least once every 5 minutes The platform also stores device metadata in a MongoDB cluster An application that is installed on an on-premises machine runs periodic jobs to aggregate and transform the telemetry and device metadata The application creates reports that users view by using another web application that runs on the same on-premises machine The periodic jobs take 120-600 seconds to run However, the web application is always running.
The company is moving the platform to AWS and must reduce the operational overhead of the stack.
Which combination of steps will meet these requirements with the LEAST operational overhead? (Select THREE.)

A. Configure the loT devices to publish to AWS loT Core
B. Write the metadata to Amazon DocumentDB (with MongoDB compatibility)
C. Use AWS Step Functions state machines with AWS Lambda tasks to prepare the reports and to write the reports to Amazon S3 Use Amazon CloudFront with an S3 origin to serve the reports
D. Use an Amazon Elastic Kubernetes Service (Amazon EKS) cluster with Amazon EC2 instances to prepare the reports Use an ingress controller in the EKS cluster to serve the reports
E. Write the metadata to a self-managed MongoDB database on an Amazon EC2 instance
F. Use AWS Lambda functions to connect to the loT devices

正解：A、B、C

解説：
https://aws.amazon.com/step-functions/use-cases/

質問 # 198
A company needs to gather data from an experiment in a remote location that does not have internet connectivity. During the experiment, sensors that are connected to a total network will generate 6 TB of data in a preprimary formal over the course of 1 week. The sensors can be configured to upload their data files to an FTP server periodically, but the sensors do not have their own FTP server. The sensors also do not support other protocols. The company needs to collect the data centrally and move lie data to object storage in the AWS Cloud as soon. as possible after the experiment.
Which solution will meet these requirements?

A. Order an AWS Snowball Edge Compute Optimized device. Connect the device to the local network.
Configure AWS DataSync with a target bucket name, and unload the data over NFS to the device. After the experiment return the device to AWS so that the data can be loaded into Amazon S3.
B. Order an AWS Snowcone device, including an Amazon Linux 2 AMI. Connect the device to the local network. Launch an Amazon EC2 instance on the device. Install and configure an FTP server on the EC2 instance. Configure the sensors to upload data to the EC2 instance. After the experiment, return the device to AWS so that the data can be loaded into Amazon S3.
C. Order an AWS Snowcone device. Connect the device to the local network. Configure the device to use Amazon FSx. Configure the sensors to upload data to the device. Configure AWS DataSync on the device to synchronize the uploaded data with an Amazon S3 bucket Return the device to AWS so that the data can be loaded as an Amazon Elastic Block Store (Amazon EBS) volume.
D. Order an AWS Snowcone device, including an Amazon Linux 2 AMI. Connect the device to the local network. Launch an Amazon EC2 instance on the device. Create a shell script that periodically downloads data from each sensor. After the experiment, return the device to AWS so that the data can be loaded as an Amazon Elastic Block Store [Amazon EBS) volume.

正解：B

解説：
For collecting data from remote sensors without internet connectivity, using an AWS Snowcone device with an Amazon EC2 instance running an FTP server presents a practical solution. This setup allows the sensors to upload data to the EC2 instance via FTP, and after the experiment, the Snowcone device can be returned to AWS for data ingestion into Amazon S3. This approach minimizes operational complexity and ensures efficient data transfer to AWS for further processing or storage.
AWS Documentation on AWS Snowcone and Amazon EC2 provides detailed guidance on deploying compute and storage capabilities in edge locations. This solution leverages AWS's edge computing devices to address challenges associated with data collection in remote or disconnected environments.

質問 # 199
A company is providing weather data over a REST-based API to several customers. The API is hosted by Amazon API Gateway and is integrated with different AWS Lambda functions for each API operation. The company uses Amazon Route 53 for DNS and has created a resource record of weather.example.com. The company stores data for the API in Amazon DynamoDB tables. The company needs a solution that will give the API the ability to fail over to a different AWS Region.
Which solution will meet these requirements?

A. Deploy a new set of Lambda functions in a new Region. Update the API Gateway API to use an edge-optimized API endpoint with Lambda functions from both Regions as targets. Convert the DynamoDB tables to global tables.
B. Deploy a new API Gateway API and Lambda functions in another Region. Change the Route 53 DNS record to a multivalue answer. Add both API Gateway APIs to the answer. Enable target health monitoring. Convert the DynamoDB tables to global tables.
C. Deploy a new API Gateway API and Lambda functions in another Region. Change the Route 53 DNS record to a failover record. Enable target health monitoring. Convert the DynamoDB tables to global tables.
D. Deploy a new API Gateway API in a new Region. Change the Lambda functions to global functions.
Change the Route 53 DNS record to a multivalue answer. Add both API Gateway APIs to the answer.
Enable target health monitoring. Convert the DynamoDB tables to global tables.

正解：C

解説：
Explanation
https://docs.aws.amazon.com/apigateway/latest/developerguide/dns-failover.html

質問 # 200
A company is subject to regulatory audits of its financial information. External auditors who use a single AWS account need access to the company's AWS account. A solutions architect must provide the auditors with secure, read-only access to the company's AWS account. The solution must comply with AWS security best practices.
Which solution will meet these requirements?

A. In the company's AWS account, create an IAM group that has the required permissions Create an IAM user in the company s account for each auditor. Add the IAM users to the IAM group.
B. In the company's AWS account create an IAM role that trusts the auditors' AWS account Create an IAM policy that has the required permissions. Attach the policy to the role. Assign a unique external ID to the role's trust policy.
C. In the company's AWS account, create an IAM user. Attach the required IAM policies to the IAM user.
Create API access keys for the IAM user. Share the access keys with the auditors.
D. In the company's AWS account, create resource policies for all resources in the account to grant access to the auditors' AWS account. Assign a unique external ID to the resource policy.

正解：B

解説：
Explanation
This solution will allow the external auditors to have read-only access to the company's AWS account while being compliant with AWS security best practices. By creating an IAM role, which is a secure and flexible way of granting access to AWS resources, and trusting the auditors' AWS account, the company can ensure that the auditors only have the permissions that are required for their role and nothing more. Assigning a unique external ID to the role's trust policy, it will ensure that only the auditors' AWS account can assume the role.
Reference:
AWS IAM Roles documentation: https://aws.amazon.com/iam/features/roles/ AWS IAM Best practices: https://aws.amazon.com/iam/security-best-practices/

質問 # 201
A company has an application that analyzes and stores image data on premises. The application receives millions of new image files every day. Files are an average of 1 MB in size. The files are analyzed in batches of 1 GB. When the application analyzes a batch, the application zips the images together. The application then archives the images as a single file in an on-premises NFS server for long-term storage.
The company has a Microsoft Hyper-V environment on premises and has compute capacity available. The company does not have storage capacity and wants to archive the images on AWS. The company needs the ability to retrieve archived data within 1 week of a request.
The company has a 10 Gbps AWS Direct Connect connection between its on-premises data center and AWS. The company needs to set bandwidth limits and schedule archived images to be copied to AWS during non-business hours.
Which solution will meet these requirements MOST cost-effectively?

A. Deploy an AWS Storage Gateway Tape Gateway on premises in the Hyper-V environment.Connect the Tape Gateway to AWS. Use automatic tape creation. Specify an Amazon S3 Glacier Deep Archive pool. Eject the tape after the batch of images is copied.
B. Deploy an AWS DataSync agent as a Hyper-V VM on premises. Configure the DataSync agent to copy the batch of files from the NFS on-premises server to Amazon S3 Glacier Deep Archive.
After the successful copy, delete the data from the on-premises storage.
C. Deploy an AWS DataSync agent on a new general purpose Amazon EC2 instance. Configure the DataSync agent to copy the batch of files from the NFS on-premises server to Amazon S3 Standard. After the successful copy, delete the data from the on-premises storage. Create an S3 Lifecycle rule to transition objects from S3 Standard to S3 Glacier Deep Archive after 1 day.
D. Deploy an AWS DataSync agent on a new GPU-based Amazon EC2 instance. Configure the DataSync agent to copy the batch of files from the NFS on-premises server to Amazon S3 Glacier Instant Retrieval. After the successful copy, delete the data from the on-premises storage.

正解：B

質問 # 202
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