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NEW QUESTION: 1
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are a data scientist using Azure Machine Learning Studio.
You need to normalize values to produce an output column into bins to predict a target column.
Solution: Apply a Quantiles binning mode with a PQuantile normalization.
Does the solution meet the goal?
A. Yes
B. No
Answer: B
Explanation:
Explanation/Reference:
Explanation:
Use the Entropy MDL binning mode which has a target column.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/group-data-into-bins
NEW QUESTION: 2
Which RecoverPoint feature requires the production copy to be located on a VNX?
A. Synchronous replication
B. Deduplication
C. Snap-based Replication
D. Distributed Consistency Groups
Answer: C
NEW QUESTION: 3
Siehe Ausstellung.
Wenn die Netzwerkumgebung normal funktioniert, welcher Gerätetyp muss an die Schnittstelle FastEthernet 0/1 angeschlossen werden?
A. DHCP-Client
B. PC
C. Router
D. Zugangspunkt
Answer: C
NEW QUESTION: 4
Which two plug-in spots call the rating functionality using base package-supplied algorithm types? (Choose two.)
A. Adjustment Type - Generate
B. Bill Segment Type - Bill Segment Create
C. Bill Segment Type - Bill Segment FT Creation
D. Adjustment Type - Adjustment FT Creation
E. Billable Charge Template
Answer: C,D