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NEW QUESTION: 1


Answer:
Explanation:

Explanation

Box 1: LEFT OUTER JOIN
LEFT OUTER JOIN specifies that all rows from the left table not meeting the join condition are included in the result set, and output columns from the other table are set to NULL in addition to all rows returned by the inner join.
Box 2: ON I1.SensorID= I2.SensorID
References: https://docs.microsoft.com/en-us/stream-analytics-query/join-azure-stream-analytics

NEW QUESTION: 2
If a QRA has been prepared for a process unit, the analysis can borrow extensively from this effort.
A. RBI consequence
B. RBI likelihood
C. RBI probability
Answer: C

NEW QUESTION: 3

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

NEW QUESTION: 4
A production SQL Server Analysis Services (SSAS) cube is processed daily. The users query products by using a hierarchy named Products from a dimension named Product.
The DimProduct table in the data source view is used as the source of the Product dimension. The table has the following structure.

The attributes have the following relationships defined: Product > Subcategory > Category. Each attribute has a key and a name sourced from the related key and name columns in the DimProduct table.
During processing, you receive the following error message: 'Errors in the OLAP storage engine: A duplicate attribute key has been found when processing: Table: 'dbo_DimProduct', Column:
'SubCategoryKey1, Value: "23'. The attribute is Subcategory'."
You verify that the data is accurate.
You need to ensure that the dimension processes successfully.
What should you do?
A. Relate the Subcategory and Category attributes directly to the Product attribute.
B. Delete the Products hierarchy.
C. Remove the duplicate data from the DimProduct table.
D. Remove the Subcategory attribute.
Answer: A