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NEW QUESTION: 1
Which AWS service or feature allows a company to visualize, understand, and manage AWS costs and usage over time?
A. AWS Organizations
B. AWS Budgets
C. Consolidated billing
D. AWS Cost Explorer
Answer: D
Explanation:
AWS Cost Explorer has an easy-to-use interface that lets you visualize, understand, and manage your AWS costs and usage over time.
Reference:
https://aws.amazon.com/aws-cost-management/aws-cost-explorer/

NEW QUESTION: 2

A. Option D
B. Option B
C. Option C
D. Option A
Answer: D
Explanation:

NEW QUESTION: 3
A company uses Common Data Service to store sales data.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:
Explanation:

NEW QUESTION: 4
You have a Microsoft Azure SQL data warehouse that has a fact table named FactOrder. FactOrder contains three columns named CustomerId, OrderId, and OrderDateKey. FactOrder is hash distributed on CustomerId.
OrderId is the unique identifier for FactOrder. FactOrder contains 3 million rows.
Orders are distributed evenly among different customers from a table named dimCustomers that contains 2 million rows.
You often run queries that join FactOrder and dimCustomers by selecting and grouping by the OrderDateKey column.
You add 7 million rows to FactOrder. Most of the new records have a more recent OrderDateKey value than the previous records.
You need to reduce the execution time of queries that group on OrderDateKey and that join dimCustomers and FactOrder.
What should you do?
A. Update the statistics for the OrderDateKey column.
B. Change the distribution for the FactOrder table to round robin.
C. Change the distribution for the dimCustomers table to OrderDateKey.
D. Change the distribution for the FactOrder table to be based on OrderId.
Answer: A
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-tables-statistics