Exam Details

  • Exam Code
    :DATABRICKS-CERTIFIED-PROFESSIONAL-DATA-SCIENTIST
  • Exam Name
    :Databricks Certified Professional Data Scientist
  • Certification
    :Databricks Certifications
  • Vendor
    :Databricks
  • Total Questions
    :138 Q&As
  • Last Updated
    :Jun 25, 2025

Databricks Databricks Certifications DATABRICKS-CERTIFIED-PROFESSIONAL-DATA-SCIENTIST Questions & Answers

  • Question 91:

    You are doing advanced analytics for the one of the medical application using the regression and you have two variables which are weight and height and they are very important input variables, which cannot be ignored and they are also

    highly co-related.

    What is the best solution for that?

    A. You will take cube root of height

    B. You will take square root of weight

    C. You will take square of the height.

    D. You would consider using BMI (Body Mass Index)

  • Question 92:

    Which of the following skills a data scientists required?

    A. Web designing to represent best visuals of its results from algorithm.

    B. He should be creative

    C. Should possess good programming skills

    D. Should be very good at mathematics and statistic

    E. He should possess database administrative skills.

  • Question 93:

    In which phase of the data analytics lifecycle do Data Scientists spend the most time in a project?

    A. Discovery

    B. Data Preparation

    C. Model Building

    D. Communicate Results

  • Question 94:

    In which lifecycle stage are test and training data sets created?

    A. Model planning

    B. Discovery

    C. Model building

    D. Data preparation

  • Question 95:

    Your company has organized an online campaign for feedback on product quality and you have all the responses for the product reviews, in the response form people have check box as well as text field. Now you know that people who do not fill in or write non-dictionary word in the text field are not considered valid feedback. People who fill in text field with proper English words are considered valid response. Which of the following method you should not use to identify whether the response is valid or not?

    A. Naive Bayes

    B. Logistic Regression

    C. Random Decision Forests

    D. Any one of the above

  • Question 96:

    What describes a true property of Logistic Regression method?

    A. It handles missing values well.

    B. It works well with discrete variables that have many distinct values.

    C. It is robust with redundant variables and correlated variables.

    D. It works well with variables that affect the outcome in a discontinuous way.

  • Question 97:

    What describes a true limitation of Logistic Regression method?

    A. It does not handle redundant variables well.

    B. It does not handle missing values well.

    C. It does not handle correlated variables well.

    D. It does not have explanatory values.

  • Question 98:

    If E1 and E2 are two events, how do you represent the conditional probability given that E2 occurs given that E1 has occurred?

    A. P(E1)/P(E2)

    B. P(E1+E2)/P(E1)

    C. P(E2)/P(E1)

    D. P(E2)/(P(E1+E2)

  • Question 99:

    You are creating a Classification process where input is the income, education and current debt of a customer, what could be the possible output of this process?

    A. Probability of the customer default on loan repayment

    B. Percentage of the customer loan repayment capability

    C. Percentage of the customer should be given loan or not

    D. The output might be a risk class, such as "good", "acceptable", "average", or "unacceptable".

  • Question 100:

    Clustering is a type of unsupervised learning with the following goals

    A. Maximize a utility function

    B. Find similarities in the training data

    C. Not to maximize a utility function

    D. 1 and 2

    E. 2 and 3

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