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Question ID 16154

Assume you are performing an analysis to determine fraud detection on credit card usage.
You will need to ensure higher-risk transactions. These may indicate that fraudulent credit
card activity is retained in your data for analysis and not dropped as outliers during pre-
processing.
What is the approach for loading data into the analytical sandbox for this analysis?

Option A

ELT

Option B

ETL

Option C

EDW 

Option D

OLTP

Correct Answer A
Explanation


Question ID 16155

Refer to the Exhibit.

In the Exhibit, the table shows the values for the input Boolean attributes "A", "B", and "C".
It also shows the values for the output attribute "class". Which decision tree is valid for the
data?

Option A

Tree B

Option B

Tree A

Option C

 Tree C

Option D

 Tree D

Correct Answer A
Explanation

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