Last Updated: Oct 15, 2026
No. of Questions: 140 Questions & Answers with Testing Engine
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Model Development & Algorithms | 30% | - Tree-based models: decision trees, random forest, gradient boosting - Unsupervised methods: clustering, PCA, anomaly detection - Regression models: linear, logistic, regularized - Spark MLlib and distributed algorithms |
| Topic 2: Model Management & Deployment | 20% | - Monitoring and interpretability - Model registry and versioning - Experiment tracking and reproducibility with MLflow - Model deployment and serving on Databricks |
| Topic 3: Machine Learning Fundamentals | 25% | - Statistical concepts and bias-variance tradeoff - Types of machine learning: supervised, unsupervised, reinforcement - In-sample vs out-of-sample evaluation |
| Topic 4: Data Preparation & Feature Engineering | 25% | - Using Databricks for data processing - Data cleaning, transformation, and validation - Feature construction, scaling, encoding, and selection |
Databricks Certified Professional Data Scientist is an official Databricks certification exam, listed under the code Databricks-Certified-Professional-Data-Scientist. Clearing it earns the Databricks Certified Professional Data Scientist certification, a Professional-level credential. It also ties into Databricks Certified Machine Learning Professional, Databricks Certified Data Engineer Professional, which makes it a useful anchor for a longer certification plan. For employers, the value is simple: the vendor itself has verified what you know.
You will work through 59-60 questions in 120 minutes on the Databricks Certified Professional Data Scientist exam. The content is only half the battle; the clock is the other half. Train both at once: set the Exams-boost test engine to full timed mode, practice skipping and returning to stubborn items, and repeat until finishing with minutes to spare feels normal rather than lucky.
Passing Databricks Certified Professional Data Scientist requires 70%, and the official registration fee is USD $200 (plus applicable taxes). Remember that a retake bills the same USD $200 (plus applicable taxes) all over again, so winging it is the most expensive strategy on the table. A better approach: benchmark yourself with the Exams-boost practice tests first, and schedule the real exam only once your scores sit comfortably and consistently above the requirement.
Recommended: Proficiency in Python/Scala, Apache Spark, Databricks Lakehouse Platform, and practical data science experience; no mandatory prerequisites
Requirements do evolve, so before you spend a registration fee, verify the current conditions on the official exam page.
Registration for Databricks Certified Professional Data Scientist is handled through the vendor's official channels below.
One more detail for your planning: the exam is delivered Online proctored via Kryterion or authorized test center.
Databricks recommends the following training resources for the Databricks Certified Professional Data Scientist exam.
Training tells you what to learn; practice questions teach you how the exam asks it. Pair either with the 140 items in the Exams-boost Databricks-Certified-Professional-Data-Scientist package and you cover both halves.
Yes. The free demo on this page contains a portion of the complete Databricks Certified Professional Data Scientist question set, enough to judge the accuracy and the clarity of the explanations for yourself. After purchase, updates are free for 365 days, and once your product expires you can extend the update service at a 50% discount.
Exams-boost provides a 100% money-back guarantee with clearly stated conditions. Take the Databricks Certified Professional Data Scientist exam within 60 days of purchase; if you fail, you may claim a full refund, as long as the exam matches your product. Exams taken within 3 days of purchase are not eligible, and neither are products that were downloaded but never used, free materials, or expired orders; the candidate name must match the payer name. File the claim with a scanned enrollment slip and the official Score Report PDF within 2 days of the exam, and it is processed within 7 days. If you would rather exchange than refund, you can receive two other exam products of equal value free of charge and keep the update service on your original purchase.
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The official Databricks Certified Professional Data Scientist syllabus comprises 4 domains. The heaviest hitters are Model Development & Algorithms (30%), Model Management & Deployment (20%), and Machine Learning Fundamentals (25%). The complete outline sits above on this page; walk it top to bottom and mark every line you could not teach to someone else.
Select the sequence of the developing machine learning applications
A) Analyze the input data
B) Prepare the input data
C) Collect data
D) Train the algorithm
E) Test the algorithm
F) Use It
Correct Answer: B 🗳️
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Scenario: Suppose that Bob can decide to go to work by one of three modes of transportation, car, bus, or commuter train. Because of high traffic, if he decides to go by car. there is a 50% chance he will be late. If he goes by bus, which has special reserved lanes but is sometimes overcrowded, the probability of being late is only 20%. The commuter train is almost never late, with a probability of only 1 %, but is more expensive than the bus.
Suppose that Bob is late one day, and his boss wishes to estimate the probability that he drove to work that day by car. Since he does not know Which mode of transportation Bob usually uses, he gives a prior probability of
1 3 to each of the three possibilities. Which of the following method the boss will use to estimate of the probability that Bob drove to work?
Correct Answer: D 🗳️
Explanation: Only visible for Exams-boost members. You can sign-up / login (it's free).
Consider the following confusion matrix for a data set with 600 out of 11,100 instances positive:
In this case, Precision = 50%, Recall = 83%, Specificity = 95%, and Accuracy = 95%.
Select the correct statement
Correct Answer: A 🗳️
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Suppose that the probability that a pedestrian will be tul by a car while crossing the toad at a pedestrian crossing without paying attention to the traffic light is lo be computed. Let H be a discrete random variable taking one value from (Hit. Not Hit). Let L be a discrete random variable taking one value from (Red. Yellow.
Green).
Realistically, H will be dependent on L That is, P(H = Hit) and P(H = Not Hit) will take different values depending on whether L is red, yellow or green. A person is. for example, far more likely to be hit by a car when trying to cross while Hie lights for cross traffic are green than if they are red In other words, for any given possible pair of values for Hand L. one must consider the joint probability distribution of H and L to find the probability* of that pair of events occurring together if Hie pedestrian ignores the state of the light Here is a table showing the conditional probabilities of being bit. defending on ibe stale of the lights (Note that the columns in this table must add up to 1 because the probability of being hit oi not hit is 1 regardless of the stale of the light.)
Correct Answer: A,B 🗳️
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In which lifecycle stage are appropriate analytical techniques determined?
Correct Answer: A 🗳️
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