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Databricks Databricks-Certified-Professional-Data-Scientist Exam With Confidence Using Practice Dumps

Exam Code:
Databricks-Certified-Professional-Data-Scientist
Exam Name:
Databricks Certified Professional Data Scientist Exam
Certification:
Vendor:
Questions:
138
Last Updated:
Nov 21, 2024
Exam Status:
Stable
Databricks Databricks-Certified-Professional-Data-Scientist

Databricks-Certified-Professional-Data-Scientist: Databricks Certification Exam 2024 Study Guide Pdf and Test Engine

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Databricks Certified Professional Data Scientist Exam Questions and Answers

Question 1

Select the correct option from the below

Options:

A.

If you're trying to predict or forecast a target value^ then you need to look into supervised learning.

B.

If you've chosen supervised learning, with discrete target value like Yes/No. 1/2/3, A/B/C: or Red/Yellow/Black, then look into classification.

C.

If the target value can take on a number of values, say any value from 0.00 to 100.00, or -999 to 999: or +_to -_, then you need to look unsupervised learning

D.

If you're not trying to predict a target value, then you need to look into unsupervised learning

E.

Are you trying to fit your data into some discrete groups? If so and that's all you need, you should look into clustering.

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Question 2

Logistic regression is a model used for prediction of the probability of occurrence of an event. It makes use of several variables that may be......

Options:

A.

Numerical

B.

Categorical

C.

Both 1 and 2 are correct

D.

None of the 1 and 2 are correct

Question 3

A bio-scientist is working on the analysis of the cancer cells. To identify whether the cell is cancerous or not, there has been hundreds of tests are done with small variations to say yes to the problem. Given the test result for a sample of healthy and cancerous cells, which of the following technique you will use to determine whether a cell is healthy?

Options:

A.

Linear regression

B.

Collaborative filtering

C.

Naive Bayes

D.

Identification Test