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Last Updated: Oct 17, 2026
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Databricks Databricks-Certified-Professional-Data-Scientist Exam Overview:
| Certification Vendor: | Databricks |
|---|---|
| Exam Name: | Databricks Certified Professional Data Scientist Exam |
| Exam Number: | Databricks-Certified-Professional-Data-Scientist |
| Certificate Validity Period: | 2 years |
| Passing Score: | Not publicly disclosed |
| Exam Format: | Multiple choice, Scenario-based questions, Proctored online exam |
| Available Languages: | English |
| Exam Duration: | 120-150 |
| Related Certifications: | Databricks Certified Machine Learning Associate Databricks Certified Machine Learning Professional Databricks Certified Data Engineer Associate |
| Real Exam Qty: | Approximately 45-60 (may vary) |
| Exam Price: | $200 USD (may vary by region) |
| Recommended Training: | Databricks Academy Machine Learning Courses |
| Exam Registration: | Databricks Certification Registration |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored exam |
| Pre Condition: | Recommended: strong knowledge of Python, SQL, machine learning fundamentals, and experience with Databricks Lakehouse platform |
| Official Syllabus URL: | https://www.databricks.com/learn/certification |
Databricks Databricks-Certified-Professional-Data-Scientist Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Model Evaluation and Optimization | - Performance evaluation
|
| Topic 2: Responsible AI and Production ML | - Model governance
|
| Topic 3: Data Preparation and Feature Engineering | - Feature engineering with Spark
|
| Topic 4: Machine Learning with Databricks | - Model deployment
|
| Topic 5: Machine Learning Fundamentals | - Unsupervised Learning
|
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$200 USD (may vary by region) per attempt, Not publicly disclosed to pass. Retakes cost the full fee — make the attempt count with the 140 practice questions for the Databricks-Certified-Professional-Data-Scientist exam at SurePassExams.
Recommended: strong knowledge of Python, SQL, machine learning fundamentals, and experience with Databricks Lakehouse platform Eligibility rules change over time, so verify the current requirements on the official page (official Databricks-Certified-Professional-Data-Scientist exam page) before registering.
The Databricks Certified Professional Data Scientist is Databricks's certification exam for Databricks Certified Professional Data Scientist, at the Professional level. The certificate is an indispensable credential in this field. Related credentials include Databricks Certified Data Engineer Associate, Databricks Certified Machine Learning Associate, Databricks Certified Machine Learning Professional.
Yes — download the free Databricks Certified Professional Data Scientist demo before purchase; the full book torrent is better still. Purchases include 365 days of free updates by email; renew afterward at 50% off.
Through the vendor's official registration channels:
The Databricks Certified Professional Data Scientist is delivered Online proctored exam — pick the arrangement that suits you when booking.
The Databricks Certified Professional Data Scientist blueprint spans 5 domains — including Machine Learning with Databricks, Model Evaluation and Optimization, Responsible AI and Production ML. Our experts check the exam database daily to keep pace; the complete outline above lists every subtopic.
120-150 for Approximately 45-60 (may vary) questions. Download immediately after payment and put the saved time into timed practice with the SurePassExams engine.
Databricks Certified Professional Data Scientist Sample Questions:
Select the correct option from the below
- A. If you're not trying to predict a target value, then you need to look into unsupervised learning
- B. If the target value can take on a number of values, say any value from 0.00 to 100.00, or -999 to 999: or
+_to -_, then you need to look unsupervised learning - C. If you've chosen supervised learning, with discrete target value like Yes/No. 1/2/3, A/B/C: or Red/Yellow/Black, then look into classification.
- D. Are you trying to fit your data into some discrete groups? If so and that's all you need, you should look into clustering.
- E. If you're trying to predict or forecast a target value^ then you need to look into supervised learning.
Correct Answer: A,C,D,E 🗳️
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In which of the scenario you can use the regression to predict the values
- A. Only 1 and 2
- B. Probability of the celebrity divorce
- C. All 1 ,2 and 3
- D. Mobile companies can use it to forecast manufacturing defects
- E. Samsung can use it for mobile sales forecast
Correct Answer: C 🗳️
Explanation: Only visible for SurePassExams members. You can sign-up / login (it's free).
Which of the following is a correct example of the target variable in regression (supervised learning)?
- A. Reptile, fish, mammal, amphibian, plant, fungi
- B. Infinite number of numeric values, such as 0.100, 42.001, 1000.743..
- C. All of the above
- D. Nominal values like true, false
Correct Answer: C 🗳️
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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. L1 is the sum of the square of the weights, while L2 is just the sum of the weights
- B. None of the above
- C. L2 is the sum of the square of the weights, while L1 is just the sum of the weights
- D. L1 gives Non-sparse output while L2 gives sparse outputs
Correct Answer: C 🗳️
Explanation: Only visible for SurePassExams members. You can sign-up / login (it's free).
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. Income
- B. Age
- C. Gender
- D. Credit Score
Correct Answer: D 🗳️
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