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NEW QUESTION: 1

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

NEW QUESTION: 2
When you are entering an invoice with VAT tax, the system displays hard Error 1480: "Tax Amount May Not Be Understated." Which system setting should you review to prevent the error and allow entry of understated tax amounts?
A. Select the "Allow Understatement of Tax Amount" check box in the Tax Rules application (P0022) for the company on the invoice to allow entry of understand tax amounts within the defined tolerance limits.
B. Select the "Allow Understatement of Tax Amount" check box in the Company Number and Names application (P0010) for the company on the invoice to allow entry of understated tax amounts within the defined tolerance limits.
C. Select the "Allow Understatement of Tax Amount" check box in the Tax/Rate Area application (P4008).
D. Set the "Allow Understatement of Tax Amount" processing option to 1 in the Invoice Entry Master Business Function (P03B0011) to allow entry of understated tax amounts within the defined tolerance limits.
E. Activate the "Allow Understatement of Tax Amount" processing option for Standard Invoice Entry application (P03B11) to allow entry of understated tax amounts.
Answer: A
Explanation:
Explanation/Reference:
Reference: https://docs.oracle.com/cd/E16582_01/doc.91/e15153.pdf

NEW QUESTION: 3
You are the administrator of your company network. You use SQL Server 2008 to develop a Business Intelligence (BI) solution. There's a data warehouse named ClientA, it contains a Fact table named FactClient which has two columns named ClientMain and ClientSell. You use SQL Server 2008 Analysis Services (SSAS) to create a data mining model named ClientModel. You also use SQL Server 2008 Reporting Services (SSRS) to create a report, it is used to list the top 30 clients according to the sales amount. You add a column named Wellsale to the report which takes data from a SQL Server relational database. Now you must make sure that the Wellsale column displays the probability values of the expensive products that customers are intend to buy. So what Data Mining Extensions (DMX) query should you use?
A. SELECT Probability(m.[Wellsale]) as [Wellsale], t.[ClientMain], t.[Clientsell] From [ClientModel] m PREDICTION JOIN OPENQUERY([ClientA], 'SELECT [ClientMain], [Clientsell] From FactClient ORDER BY [Clientsell] ') AS t ON m.[ClientMain] = t.[ClientMain]
B. SELECT PredictProbability(m.[Wellsale]) as [Wellsale], t.[ClientMain], t.[Clientsell] From [ClientModel] m PREDICTION JOIN OPENQUERY([ClientA], 'SELECT TOP 50 [ClientMain],[Clientsell] From FactClient ORDER BY [Clientsell] ') AS t ON m.[ClientMain] = t.[ClientMain]
C. SELECT PredictProbability(t.[Wellsale]) as [Wellsale], m.[ClientMain], m.[Clientsell] From [ClientModel] m PREDICTION JOIN OPENQUERY([ClientA], 'SELECT [ClientMain], [Clientsell] From FactClient ORDER BY [Clientsell] ') AS t ON m.[ClientMain] = t.[ClientMain]
D. SELECT PredictProbability(m.[Wellsale]) as [Wellsale], t.[ClientMain], t.[Clientsell] From [ClientModel] m PREDICTION JOIN OPENQUERY([ClientA], 'SELECT TOP 50 [ClientMain], [Clientsell] FROM FactClient ORDER BY [Clientsell] ') AS t
Answer: B