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 111:

    Which activity is performed in the Operationalize phase of the Data Analytics Lifecycle?

    A. Define the process to maintain the model

    B. Try different analytical techniques

    C. Try different variables

    D. Transform existing variables

  • Question 112:

    Which of the following are point estimation methods?

    A. MAP

    B. MLE

    C. MMSE

  • Question 113:

    Suppose a man told you he had a nice conversation with someone on the train. Not knowing anything about this conversation, the probability that he was speaking to a woman is 50% (assuming the train had an equal number of men and women and the speaker was as likely to strike up a conversation with a man as with a woman). Now suppose he also told you that his conversational partner had long hair. It is now more likely he was speaking to a woman, since women are more likely to have long hair than men.____________ can be used to calculate the probability that the person was a woman.

    A. SVM

    B. MLE

    C. Bayes' theorem

    D. Logistic Regression

  • Question 114:

    In unsupervised learning which statements correctly applies?

    A. It does not have a target variable

    B. Instead of telling the machine Predict Y for our data X, we're asking What can you tell me about X?

    C. telling the machine Predict Y for our data X

  • Question 115:

    Refer to the exhibit.

    You are building a decision tree. In this exhibit, four variables are listed with their respective values of info-gain. Based on this information, on which attribute would you expect the next split to be in the decision tree?

    A. Credit Score

    B. Age

    C. Income

    D. Gender

  • Question 116:

    RMSE measures error of a predicted:

    A. Numerical Value

    B. Categorical values

    C. For booth Numerical and categorical values

  • Question 117:

    Which of the following statement is true for the R square value in the regression model?

    A. When R square =1 , all the residuals are equal to 0

    B. When R square =0, all the residual are equal to 1

    C. R square can be increased by adding more variables to the model.

    D. R-squared never decreases upon adding more independent variables.

  • Question 118:

    A problem statement is given as below

    Hospital records show that of patients suffering from a certain disease, 75% die of it. What is the probability that of 6 randomly selected patients, 4 will recover?

    Which of the following model will you use to solve it.

    A. Binomial

    B. Poisson

    C. Normal

    D. Any of the above

  • Question 119:

    Regularization is a very important technique in machine learning to prevent overfitting. Mathematically speaking, it adds a regularization term in order to prevent the coefficients to fit so perfectly to overfit. The difference between the L1 and L2 is...

    A. L2 is the sum of the square of the weights, while L1 is just the sum of the weights

    B. L1 is the sum of the square of the weights, while L2 is just the sum of the weights

    C. L1 gives Non-sparse output while L2 gives sparse outputs

    D. None of the above

  • Question 120:

    What is the considerable difference between L1 and L2 regularization?

    A. L1 regularization has more accuracy of the resulting model

    B. Size of the model can be much smaller in L1 regularization than that produced by L2- regularization

    C. L2-regularization can be of vital importance when the application is deployed in resource-tight environments such as cell-phones.

    D. All of the above are correct

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