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NEW QUESTION: 1
A company orders and receives a case containing 36 light bulbs which are issued one at a time. What is created for this relationship?
A. Issue Unit
B. Multiplier
C. Conversion
D. Issue Type
Answer: A
Explanation:
Explanation
You order light bulbs in bulk and the unit of measure is a case, with a quantity received of 36. However, when you issue the item, you issue it one at a time. In this case, you can define a measure unit of CASE and another measure unit of EACH. You define a conversion ratio from CASE to EACH with a factor of 36. When you receive an order of bulbs into a storeroom, the received order unit of one CASE is converted into the storeroom issue unit of 36 EACH.

NEW QUESTION: 2
Company A have two remote sites, which are connected to a common ISP by BGP. At each site, company
A is using the same autonomous system number. Which BGP feature can you implement to enable routing
between the two sites?
A. communities
B. AS path prepending
C. allowas-in
D. peer groups
Answer: C

NEW QUESTION: 3



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

NEW QUESTION: 4
You need to design the storage for the Health Insights data platform.
Which types of tables should you include in the design? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Hash-distributed tables
The new Health Insights application must be built on a massively parallel processing (MPP) architecture that will support the high performance of joins on large fact tables.
Hash-distributed tables improve query performance on large fact tables.
Box 2: Round-robin distributed tables
A round-robin distributed table distributes table rows evenly across all distributions. The assignment of rows to distributions is random.
Scenario:
ADatum identifies the following requirements for the Health Insights application:
* The new Health Insights application must be built on a massively parallel processing (MPP) architecture that will support the high performance of joins on large fact tables.
References:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-tables-distribute