Higher Test Marks with Free Online Databricks-Certified-Professional-Data-Scientist Exam Practice

Assess the CertsIQ’s updated Databricks-Certified-Professional-Data-Scientist exam questions for free online practice of your Databricks Certified Professional Data Scientist test. Our Databricks Certified Professional Data Scientist dumps questions will enhance your chances of passing the Databricks Certified Professional Data Scientist certification exam with higher marks.

Question 1

You are working on a Data Science project and during the project you have been gibe a responsibility to interview all the stakeholders in the project. In which phase of the project you are?

Options :

A : Discovery

B : Data Preparations

C : Creating Models

D : Executing Models

E : Creating visuals from the outcome

F : Operationnalise the models

Answer: A

Question 2

Suppose A, B , and C are events. The probability of A given B , relative to P(|C), is the same as the probability

of A given B and C (relative to P ). That is,

Options :

A :

P(A,B|C) P(B|C) =P(A|B,C)

B :

P(A,B|C) P(B|C) =P(B|A,C)

C : P(A,B|C) P(B|C) =P(C|B,C)

D : P(A,B|C) P(B|C) =P(A|C,B)

Answer: A

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

Options :

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

Answer: D

Question 4

Question-34. Stories appear in the front page of Digg as they are "voted up" (rated positively) by the

community. As the community becomes larger and more diverse, the promoted stories can better reflect the

average interest of the community members. Which of the following technique is used to make such

recommendation engine?

Options :

A : Naive Bayes classifier

B : Collaborative filtering

C : Logistic Regression

D : Content-based filtering

Answer: B

Question 5

Digit recognition, is an example of.....

Options :

A : Classification

B : Clustering

C : Unsupervised learning

D : None of the above

Answer: A