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NEW QUESTION: 1
You are designing a data warehouse with two fact tables. The first table contains sales per
month and the second table contains orders per day.
Referential integrity must be enforced declaratively.
You need to design a solution that can join a single time dimension to both fact tables.
What should you do?
A. Merge the fact tables.
B. Create a time mapping table.
C. Join the two fact tables.
D. Create a time dimension that can join to both fact tables at their respective granularity.
Answer: A

NEW QUESTION: 2
A company runs a dynamic mission-critical web application that has an SLA of 99.99%. Global application users access the application 24/7. The application is currently hosted on premises and routinely fails to meet its SLA, especially when millions of users access the application concurrently. Remote users complain of latency.
How should this application be redesigned to be scalable and allow for automatic failover at the lowest cost?
A. Use Amazon Route 53 round robin routing to distribute the load evenly to several regions with health checks. Host the website on automatically scaled Amazon ECS with AWS Fargate technology containers behind a Network Load Balancer, with an additional Network Load Balancer and Fargate containers for the application layer in each region. Use Amazon Aurora replicas for the data layer.
B. Use Amazon Route 53 latency-based routing to route to the nearest region with health checks. Host the website in Amazon S3 in each region and use Amazon API Gateway with AWS Lambda for the application layer. Use Amazon DynamoDB global tables as the data layer with Amazon DynamoDB Accelerator (DAX) for caching.
C. Use Amazon Route 53 failover routing with geolocation-based routing. Host the website on automatically scaled Amazon EC2 instances behind an Application Load Balancer with an additional Application Load Balancer and EC2 instances for the application layer in each region. Use a Multi-AZ deployment with MySQL as the data layer.
D. Use Amazon Route 53 geolocation-based routing. Host the website on automatically scaled AWS Fargate containers behind a Network Load Balancer with an additional Network Load Balancer and Fargate containers for the application layer in each region. Use Amazon Aurora Multi-Master for Aurora MySQL as the data layer.
https://aws.amazon.com/getting-started/projects/build-serverless-web-app-lambda-apigateway-s3-dynamodb-cognito/
Answer: B

NEW QUESTION: 3
過去の販売から導き出された予測に基づいて資料を作成し、顧客の注文時に在庫があると期待します。顧客が予測数量よりも多く注文した場合、追加の需要を満たすために生産を増やしたいと考えています。
使用する適切な計画戦略はどれですか？
応答：
A. 20-受注生産
B. 50-最終組み立てなしの計画
C. 10-匿名の見込生産
D. 40-最終組立による計画
Answer: D