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NEW QUESTION: 1
You work as an Office Assistant for Tech Perfect Inc.
You are working in a spreadsheet as shown below:
You want to use Excel Transpose Function for copying the contents of cells B1:B3 into cells A5:C5.
You simply type '=TRANSPOSE( B1:B3 )' into the cells A5:C5. It displays the Excel #VALUE! error message because the cells are working independently and the function will not work for each individual cell. Therefore, it is required to make the cells A5:C5 work together as an ARRAY. For this purpose, you are required to use an array formula. Which of the following steps will you take to input Excel array formulas in the spreadsheet?
Each correct answer represents a part of the solution. Choose all that apply.
A. Highlight the range of cells that you want to use as an input in his array formula.
B. Press CTRL-SHIFT-Enter.
C. Type the array formula into the first cell.
D. Press CTRL-SHIFT-Tab to remove the error message.
Answer: A,B,C
Explanation:
The following steps are taken to input Excel array formulas:
1.Highlight the range of cells that a user wants to use as an input in his array formula.
2.Type the array formula into the first cell or make this cell editable by pressing F2 or clicking in the formula bar if a user has already specified a value into the first cell.
3.Press CTRL-SHIFT-Enter.
Answer option C is incorrect. This is an invalid answer option.
NEW QUESTION: 2
You need to replace the missing data in the AccessibilityToHighway columns.
How should you configure the Clean Missing Data module? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: Replace using MICE
Replace using MICE: For each missing value, this option assigns a new value, which is calculated by using a method described in the statistical literature as "Multivariate Imputation using Chained Equations" or
"Multiple Imputation by Chained Equations". With a multiple imputation method, each variable with missing data is modeled conditionally using the other variables in the data before filling in the missing values.
Scenario: The AccessibilityToHighway column in both datasets contains missing values. The missing data must be replaced with new data so that it is modeled conditionally using the other variables in the data before filling in the missing values.
Box 2: Propagate
Cols with all missing values indicate if columns of all missing values should be preserved in the output.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/clean-missing-data
NEW QUESTION: 3
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question on this series.
You have a database that tracks orders and deliveries for customers in North America. System versioning is enabled for all tables. The database contains the Sales.Customers, Application.Cities, and Sales.CustomerCategories tables.
Details for the Sales.Customers table are shown in the following table:
Details for the Application.Cities table are shown in the following table:
Details for the Sales.CustomerCategories table are shown in the following table:
You need to create a query that meets the following requirements:
- For customers that are not on a credit hold, return the CustomerID and the latest recorded population for the delivery city that is associated with the customer.
- For customers that are on a credit hold, return the CustomerID and the latest recorded population for the postal city that is associated with the customer.
Which two Transact-SQL queries will achieve the goal? Each correct answer presents a complete solution.
A. Option D
B. Option A
C. Option C
D. Option B
Answer: B,D
Explanation:
Explanation
Using Cross Joins
A cross join that does not have a WHERE clause produces the Cartesian product of the tables involved in the join. The size of a Cartesian product result set is the number of rows in the first table multiplied by the number of rows in the second table.
However, if a WHERE clause is added, the cross join behaves as an inner join.
B: You can use the IIF in the ON-statement.
IIF returns one of two values, depending on whether the Boolean expression evaluates to true or false in SQL Server.
References:
https://technet.microsoft.com/en-us/library/ms190690(v=sql.105).aspx
https://msdn.microsoft.com/en-us/library/hh213574.aspx
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