As 2026 brings new challenges for professionals everywhere, Prep4SureReview keeps one commitment simple and strong — 140 practice questions for the Databricks-Certified-Professional-Data-Scientist exam with verified answers, formats that work anywhere including offline, and integrated service from purchase to passing day.
Databricks Databricks-Certified-Professional-Data-Scientist Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Model Deployment and Serving | 15% | - Production operations
|
| Machine Learning Development | 30% | - Model evaluation
|
| Data Exploration and Preparation | 20% | - Data preparation
|
| ML Lifecycle Management | 20% | - Reproducibility
|
| Governance and MLOps | 15% | - MLOps practices
|
Databricks-Certified-Professional-Data-Scientist Exam Facts and Modern Study Formats
Why does Prep4SureReview stand out for Databricks-Certified-Professional-Data-Scientist preparation?
- ML Lifecycle Management (20%)
- Model Deployment and Serving (15%)
- Machine Learning Development (30%)
What is the passing score for Databricks-Certified-Professional-Data-Scientist, and what is the fee?
Databricks Certified Professional Data Scientist Sample Questions:
Projecting a multi-dimensional dataset onto which vector has the greatest variance?
- A. first eigenvector
- B. second principal component
- C. first principal component
- D. not enough information given to answer
- E. second eigenvector
Correct Answer: C 🗳️
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Which of the below best describe the Principal component analysis
- A. Clustering
- B. Collaborative filtering
- C. Regression
- D. Dimensionality reduction
- E. Classification
Correct Answer: D 🗳️
Question-18. What is the best way to ensure that the k-means algorithm will find a good clustering of a collection of vectors?
- A. Run at least log(N) iterations of Lloyd's algorithm, where N is the number of observations in the data set
- B. Only consider values of k larger than log(N), where N is the number of observations in the data set
- C. Choose the initial centroids so that they are far away from each other
- D. Choose the initial centroids so that they all He along different axes
Correct Answer: C 🗳️
Explanation: Only visible for Prep4SureReview members. You can sign-up / login (it's free).
Google Adwords studies the number of men, and women, clicking the advertisement on search engine during the midnight for an hour each day.
Google find that the number of men that click can be modeled as a random variable with distribution Poisson(X), and likewise the number of women that click as Poisson(Y).
What is likely to be the best model of the total number of advertisement clicks during the midnight for an hour
?
- A. Normal(X+Y(M+Y)1/2)
- B. Binomial(X+Y,X+Y)
- C. Poisson(X+Y)
- D. Poisson(X/Y)
Correct Answer: C 🗳️
Explanation: Only visible for Prep4SureReview members. You can sign-up / login (it's free).
While working with Netflix the movie rating websites you have developed a recommender system that has produced ratings predictions for your data set that are consistently exactly 1 higher for the user-item pairs in your dataset than the ratings given in the dataset. There are n items in the dataset. What will be the calculated RMSE of your recommender system on the dataset?
- A. n/2
- B. 1
- C. 0
- D. 2
Correct Answer: B 🗳️
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