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 Databricks-Certified-Professional-Data-Scientist Dumps with Practice Exam Questions Answers

Questions: 138 questions

Last Update: Aug 14, 2022

Databricks Certification Exam Databricks-Certified-Professional-Data-Scientist has been designed to measure your skills in handling the technical tasks mentioned in the certification syllabus

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Databricks-Certified-Professional-Data-Scientist Questions and Answers

Question # 1

Reducing the data from many features to a small number so that we can properly visualize it in

two or three dimensions. It is done in_______

A.

supervised learning

B.

un-supervised learning

C.

k-Nearest Neighbors

D.

Support vector machines

Question # 2

Which is an example of supervised learning?

A.

PCA

B.

k-means clustering

C.

SVD

D.

EM

E.

SVM

Question # 3

Select the sequence of the developing machine learning applications

A) Analyze the input data

B) Prepare the input data

C) Collect data

D) Train the algorithm

E) Test the algorithm

F) Use It

A.

A, B, C, D, E, F

B.

C, B, A, D, E, F

C.

C, A, B, D, E, F

D.

C, B, A, D, E, F

Question # 4

Which of the following question statement falls under data science category?

A.

What happened in last six months?

B.

How many products have been sold in a last month?

C.

Where is a problem for sales?

D.

Which is the optimal scenario for selling this product?

E.

What happens, if these scenario continues?

Question # 5

In statistics, maximum-likelihood estimation (MLE) is a method of estimating the parameters of a statistical model. When applied to a data set and given a statistical model, maximum-likelihood estimation provides estimates for the model's parameters and the normalizing constant usually ignored in MLEs because

A.

The normalizing constant is always very close to 1

B.

The normalizing constant only has a small impact on the maximum likelihood

C.

The normalizing constant is often zero and can cause division by zero

D.

The normalizing constant doesn't impact the maximizing value

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