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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:
Databricks Certification
Vendor:
Databricks
Questions:
138
Last Updated:
Dec 8, 2025
Exam Status:
Stable
Databricks Databricks-Certified-Professional-Data-Scientist

Databricks-Certified-Professional-Data-Scientist: Databricks Certification Exam 2025 Study Guide Pdf and Test Engine

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Databricks Certified Professional Data Scientist Exam Questions and Answers

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Question 1

What is the probability that the total of two dice will be greater than 8, given that the first die is a 6?

Options:

A.

1/3

B.

2/3

C.

1/6

D.

2/6

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Question 2

A researcher is interested in how variables, such as GRE (Graduate Record Exam scores), GPA (grade point average) and prestige of the undergraduate institution, effect admission into graduate school. The response variable, admit/don't admit, is a binary variable.

Above is an example of

Options:

A.

Linear Regression

B.

Logistic Regression

C.

Recommendation system

D.

Maximum likelihood estimation

E.

Hierarchical linear models

Question 3

Scenario: Suppose that Bob can decide to go to work by one of three modes of transportation,

car, bus, or commuter train. Because of high traffic, if he decides to go by car. there is a 50% chance he will be late. If he goes by bus, which has special reserved lanes but is sometimes overcrowded, the probability of being late is only 20%. The commuter train is almost never late, with a probability of only 1 %, but is more expensive than the bus.

Suppose that Bob is late one day, and his boss wishes to estimate the probability that he drove to work that day by car. Since he does not know Which mode of transportation Bob usually uses, he gives a prior probability of 1 3 to each of the three possibilities. Which of the following method the boss will use to estimate of the probability that Bob drove to work?

Options:

A.

Naive Bayes

B.

Linear regression

C.

Random decision forests

D.

None of the above

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