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DATABRICKS-CERTIFIED-PROFESSIONAL-DATA-SCIENTIST: Databricks Certified Professional Data Scientist Exam
Free Practice Exam Questions (page: 4)
Updated On: 2-Jan-2026

Page 4 of 35
PDF with 138 Questions

Logistic regression is a model used for prediction of the probability of occurrence of an event. It makes use of several variables that may be......

  1. Numerical
  2. Categorical
  3. Both 1 and 2 are correct
  4. None of the 1 and 2 are correct

Answer(s): C

Explanation:

Logistic regression is a model used for prediction of the probability of occurrence of an event. It makes use of several predictor variables that may be either numerical or categories.



Spam filtering of the emails is an example of

  1. Supervised learning
  2. Unsupervised learning
  3. Clustering
  4. 1 and 3 are correct
  5. 2 and 3 are correct

Answer(s): A

Explanation:

Clustering is an example of unsupervised learning. The clustering algorithm finds groups within the data without being told what to look for upfront. This contrasts with classification, an example of supervised machine learning, which is the process of determining to which class an observation belongs. A common application of classification is spam filtering. With spam filtering we use labeled data to train the classifier: e-mails marked as spam or ham.



Select the choice where Regression algorithms are not best fit

  1. When the dimension of the object given
  2. Weight of the person is given
  3. Temperature in the atmosphere
  4. Employee status

Answer(s): D

Explanation:

Regression algorithms are usually employed when the data points are inherently numerical variables (such as the dimensions of an object the weight of a person, or the temperature in the atmosphere) but unlike Bayesian algorithms, they're not very good for categorical data (such as employee status or credit score description).



Question-13.
Which of the following is not the Classification algorithm?

  1. Logistic Regression
  2. Support Vector Machine
  3. Neural Network
  4. Hidden Markov Models
  5. None of the above

Answer(s): E

Explanation:

Logistic regression
Logistic regression is a model used for prediction of the probability of occurrence of an event. It makes use of several predictor variables that may be either numerical or categories.
Support Vector Machines
As with naive Bayes, Support Vector Machines (or SVMs) can be used to solve the task of assigning objects to classes. But the way this task is solved is completely different to the setting in naive Bayes.

Neural Network
Neural Networks are a means for classifying multidimensional objects.
Hidden Markov Models
Hidden Markov Models are used in multiple areas of machine learning, such as speech recognition, handwritten letter recognition, or natural language processing.



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