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NEW QUESTION: 1
You are a database developer of a Microsoft SQL Server 2012 database. You are designing a table that will store Customer data from different sources. The table will include a column that contains the CustomerID from the source system and a column that contains the SourceID. A sample of this data is as shown in the following table. You need to ensure that the table has no duplicate CustomerID within a SourceID. You also need to ensure that the data in the table is in the order of SourceID and then CustomerID.
Which Transact- SQL statement should you use?
A. CREATE TABLE Customer(SourceID int NOT NULL,CustomerID int NOT NULL,CustomerName varchar(255) NOT NULL,CONSTRAINT PK_Customer PRIMARY KEY CLUSTERED(SourceID, CustomerID));
B. CREATE TABLE Customer(SourceID int NOT NULL PRIMARY KEY CLUSTERED,CustomerID int NOT NULL UNIQUE,CustomerName varchar(255) NOT NULL);
C. CREATE TABLE Customer(SourceID int NOT NULL IDENTITY,CustomerID int NOT NULL IDENTITY,CustomerName varchar(255) NOT NULL);
D. CREATE TABLE Customer(SourceID int NOT NULL,CustomerID int NOT NULL PRIMARY KEY CLUSTERED,CustomerName varchar(255) NOT NULL);
Answer: A
Explanation:
Explanation/Reference:
Explanation:

NEW QUESTION: 2
Your company has a Microsoft Azure Active Directory (Azure AD) tenant named contoso.com.
You sign up for Microsoft Store for Business.
The tenant contains the users shown in the following table.

Microsoft Store for Business has the following Shopping behavior settings:
* Make everyone a Basic Purchaser is set to Off.
* Allow app requests is set to On.
You need to identify which users can add apps to the Microsoft Store for Business private store.
Which users should you identify?
A. User3 and User4 only
B. User3 only
C. User1 only
D. User1 and User2 only
Answer: D

NEW QUESTION: 3
While working on a neural network project, a Machine Learning Specialist discovers thai some features in the data have very high magnitude resulting in this data being weighted more in the cost function What should the Specialist do to ensure better convergence during backpropagation?
A. Model regulanzation
B. Dimensionality reduction
C. Data augmentation for the minority class
D. Data normalization
Answer: C