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真実的AWS-Solutions-Architect-Associate｜ハイパスレートのAWS-Solutions-Architect-Associateトレーニング資料試験｜試験の準備方法AWS Certified Solutions Architect - Associate (SAA-C03)日本語認定対策

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AWS-Solutions-Architect-Associate日本語認定対策、AWS-Solutions-Architect-Associate資格認定

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) 認定 AWS-Solutions-Architect-Associate 試験問題 (Q365-Q370):

質問 # 365
You are responsible for a legacy web application whose server environment is approaching end of life You would like to migrate this application to AWS as quickly as possible, since the application environment currently has the following limitations:
The VM's single 10GB VMDK is almost full;

Me virtual network interface still uses the 10Mbps driver, which leaves your 100Mbps WAN connection

completely underutilized;
It is currently running on a highly customized. Windows VM within a VMware environment;

You do not have me installation media;

This is a mission critical application with an RTO (Recovery Time Objective) of 8 hours. RPO (Recovery Point Objective) of 1 hour.
How could you best migrate this application to AWS while meeting your business continuity requirements?

A. Use Import/Export to import the VM as an ESS snapshot and attach to EC2.
B. Use me ec2-bundle-instance API to Import an Image of the VM into EC2
C. Use S3 to create a backup of the VM and restore the data into EC2.
D. Use the EC2 VM Import Connector for vCenter to import the VM into EC2.

正解：D

質問 # 366
A company is using Amazon DynamoDB to stage its product catalog, which is 1 GB. Since a product entry, on average, consists of 100 KB of data, and the average traffic is about 250 requests per second, the database administrator has provisioned 3,000 RCU of read capacity throughput. However, some products are very popular and users are experiencing delays or timeouts due to throttling.
What improvement offers a long-term solution to this problem?

A. Augment Amazon DynamoDB by storing only the key product attributes, with the details stored on Amazon S3
B. Change the partition key to consist of a hash of product key and product type, instead of just the product key
C. Use Amazon DynamoDB Accelerator to maintain the frequently ready items
D. Increase the throughput provisioning to 6,000 RCUs

正解：C

質問 # 367
A company hosts a data lake on AWS. The data lake consists of data in Amazon S3 and Amazon RDS for PostgreSQL. The company needs a reporting solution that provides data visualization and includes all the data sources within the data lake. Only the company's management team should have full access to all the visualizations. The rest of the company should have only limited access.
Which solution will meet these requirements?

A. Create an AWS Glue table and crawler for the data in Amazon S3. Use Amazon Athena Federated Query to access data within Amazon RDS for PoslgreSQL. Generate reports by using Amazon Athena.
Publish the reports to Amazon S3. Use S3 bucket policies to limit access to the reports.
B. Create an AWS Glue table and crawler for the data in Amazon S3. Create an AWS Glue extract, transform, and load (ETL) job to produce reports. Publish the reports to Amazon S3. Use S3 bucket policies to limit access to the reports.
C. Create an analysis in Amazon OuickSighl. Connect all the data sources and create new datasets. Publish dashboards to visualize the data. Share the dashboards with the appropriate users and groups.
D. Create an analysis in Amazon QuickSight. Connect all the data sources and create new datasets. Publish dashboards to visualize the data. Share the dashboards with the appropriate IAM roles.

正解：C

解説：
Amazon QuickSight is a data visualization service that allows you to create interactive dashboards and reports from various data sources, including Amazon S3 and Amazon RDS for PostgreSQL. You can connect all the data sources and create new datasets in QuickSight, and then publish dashboards to visualize the data. You can also share the dashboards with the appropriate users and groups, and control their access levels using IAM roles and permissions.
Reference:https://docs.aws.amazon.com/quicksight/latest/user/working-with-data-sources.html

質問 # 368
What is the maximum write throughput I can provision for a single Dynamic DB table?

A. 100,000 write capacity units
B. 1,000 write capacity units
C. Dynamic DB is designed to scale without limits, but if you go beyond 10,000 you have to contact AWS first.
D. 10,000 write capacity units

正解：C

質問 # 369
An airline that is based in the United States provides services for routes in North America and Europe. The airline is developing a new read-intensive application that customers can use to find flights on either continent.
The application requires strong read consistency and needs scalable database capacity to accommodate changes in user demand. The airline needs the database service to synchronize with the least possible latency between the two continents and to provide a simple failover mechanism to a second AWS Region.
Which solution will meet these requirements?

A. Create an Amazon DynamoDB global table Add a Region from North America and a Region from Europe to the table. Query data with strongly consistent reads.
B. Use an Amazon Aurora MySQL global database. Deploy the read-write node in a Region in North America, and deploy read-only endpoints in Regions in North America and Europe. Query data with global read consistency.
C. Deploy Microsoft SQL Server on Amazon EC2 instances in a Region in North America. Use SOL Server binary log replication on an EC2 instance in a Region in Europe.
D. Create a subscriber application that uses Amazon Kinesis Data Steams for an Amazon Redshift cluster in a Region in North America. Create a second subscriber application for the Amazon Redshift cluster in a Region in Europe. Process all database modifications through Kinesis Data Streams.

正解：B

質問 # 370
......

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