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NEW QUESTION: 1
For which process step can you use rules based determination of destination location? Please choose the correct answer. Response:
A. Pick
B. Pack
C. Physical inventory
D. Indirect labor
Answer: C

NEW QUESTION: 2
Why do you need to split a machine learning dataset into training data and test data?
A. To allow you to create unit tests in your code
B. To make sure your model is generalized for more than just the training data
C. So you can try two different sets of features
D. So you can use one dataset for a wide model and one for a deep model
Answer: B
Explanation:
The flaw with evaluating a predictive model on training data is that it does not inform you on how well the model has generalized to new unseen data. A model that is selected for its accuracy on the training dataset rather than its accuracy on an unseen test dataset is very likely to have lower accuracy on an unseen test dataset. The reason is that the model is not as generalized. It has specialized to the structure in the training dataset. This is called overfitting.
Reference: https://machinelearningmastery.com/a-simple-intuition-for-overfitting/

NEW QUESTION: 3
Refer to the exhibit.

10.1.1.1 and 10.1.1.2 are node IP addresses of a Cisco Unified CM cluster. Which statement describes the correct Cisco Unified CM configurations that produced the output shown in the exhibit?
A. Device Name on the Cisco Unified CM Gatekeeper configuration page is HQGK_1,HQGK_2.
B. Device Name on the Cisco Unified CM Gatekeeper configuration page is HQGK.
C. Not enough information has been provided to answer this question.
D. Device Name on the Cisco Unified CM H.225 Trunk (Gatekeeper Controlled) configuration page is HQGK.
E. Device Name on the Cisco Unified CM H.225 Trunk (Gatekeeper Controlled) configuration page is HQGK_1,HQGK_2.
Answer: D
Explanation:
Explanation/Reference:
Explanation:

NEW QUESTION: 4
You develop a SQL Server Integration Services (SSIS) package that imports SQL Azure data into a data warehouse every night.
The SQL Azure data contains many misspellings and variations of abbreviations. To import the data, a developer used the Fuzzy Lookup transformation to choose the closest-matching string from a reference table of allowed values. The number of rows in the reference table is very large.
If no acceptable match is found, the Fuzzy Lookup transformation passes a null value.
The current setting for the Fuzzy Lookup similarity threshold is 0.50.
Many values are incorrectly matched.
You need to ensure that more accurate matches are made by the Fuzzy Lookup transformation without degrading performance.
What should you do?
A. Decrease the maximum number of matches per lookup.
B. Increase the maximum number of matches per lookup.
C. Change the Exhaustive property to True.
D. Change the similarity threshold to 0.55.
Answer: D
Explanation:
Reference: http://msdn.microsoft.com/en-us/library/ms137786.aspx