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NEW QUESTION: 1
You are developing a linear regression model in Azure Machine Learning Studio. You run an experiment to compare different algorithms.
The following image displays the results dataset output:

Use the drop-down menus to select the answer choice that answers each question based on the information presented in the image.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Boosted Decision Tree Regression
Mean absolute error (MAE) measures how close the predictions are to the actual outcomes; thus, a lower score is better.
Box 2:
Online Gradient Descent: If you want the algorithm to find the best parameters for you, set Create trainer mode option to Parameter Range. You can then specify multiple values for the algorithm to try.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/evaluate-model
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/linear-regression

NEW QUESTION: 2
You have a database that contains the tables shown in the exhibit. (Click the Exhibit button.)

You need to create a view named uv_CustomerFullName to meet the following requirements:
* The code must NOT include object delimiters.
* The view must be created in the Sales schema.
* Columns must only be referenced by using one-part names.
* The view must return the first name and the last name of all customers.
* The view must prevent the underlying structure of the customer table from being changed.
* The view must be able to resolve all referenced objects, regardless of the user's default schema.
Which code segment should you use?
To answer, type the correct code in the answer area.
A. CREATE VIEW Sales.uv_CustomerFullName
WITH SCHEMABINDING
AS
SELECT FirstName, LastName
FROM Sales.Customers
B. CREATE VIEW Sales.uv_CustomerFullName
WITH SCHEMABINDING
AS
SELECT FirstName, LastName
Answer: A
Explanation:
Reference:
http://msdn.microsoft.com/en-us/library/ms187956.aspx

NEW QUESTION: 3
View the Exhibit.

You have defined a compare validation rule on the CommissionPctattribute of the Employees entity
object such that Commission must be greater than zero. How would you define that the validation rule
applies only to those with the JobId "SA_MAN" using the declarative features of ADF Business
Components? (Choose the best answer.)
A. Remove the current validator and, instead, write a script validator using Groovy and use an if
statement to check the value of JobID.
B. Change the literal value in the current validation rule to be if JobId = SA_MAN then return 0.1
else return null.
C. Remove the current validator and, instead, write a regular expression validator to check the value of
JobID.
D. Remove the current validator and, instead, write a method validator in Java and use an ifstatement to
check the value of JobID.
E. The entity object has a Validation Execution tab and you use this to set a conditional execution
expression JobId= "SA_MAN".
Answer: A
Explanation:
Explanation/Reference:
You can us eGroovy Expressions for Business Rules and Triggers.
References: https://docs.oracle.com/middleware/1213/adf/develop/adf-bc-validation-rules.htm#ADFFD430