Databricks : Databricks-Certified-Professional-Data-Scientist Questions & Answers

Last Updated: Oct 08, 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
Passing Score:70%
Related Certifications:Databricks Certified Machine Learning Professional
Databricks Certified Machine Learning Associate
Databricks Certified Associate Data Scientist
Available Languages:English
Real Exam Qty:60
Certificate Validity Period:2 years
Exam Format:Multiple Select, Scenario-Based Questions, Online Proctored Exam, Multiple Choice
Exam Duration:120 minutes
Exam Price:USD 200
Sample Questions: DOWNLOAD DEMO
Exam Way:Online proctored exam delivered through Databricks certification platform.
Pre Condition:No mandatory prerequisite. Databricks recommends prior hands-on experience with machine learning workflows, MLflow, model deployment, and Databricks Lakehouse Platform.
Official Syllabus URL:https://www.databricks.com/learn/certification

Databricks Databricks-Certified-Professional-Data-Scientist Exam Syllabus Topics:

SectionWeightObjectives
Governance and MLOps15%- Governance
  • 1. Unity Catalog integration
  • 2. Access control
  • 3. Data lineage
- MLOps practices
  • 1. Operational best practices
  • 2. CI/CD for machine learning
  • 3. Model monitoring
ML Lifecycle Management20%- Reproducibility
  • 1. Tracking runs
  • 2. Managing artifacts
  • 3. Environment management
- MLflow
  • 1. Experiment management
  • 2. Model registry
  • 3. Model versioning
Machine Learning Development30%- Model training
  • 1. Supervised learning workflows
  • 2. Cross-validation
  • 3. Hyperparameter tuning
- Model evaluation
  • 1. Performance metrics
  • 2. Model selection
  • 3. Experiment tracking
Model Deployment and Serving15%- Production operations
  • 1. Deployment validation
  • 2. Performance tracking
  • 3. Monitoring predictions
- Deployment strategies
  • 1. Batch inference
  • 2. Model endpoints
  • 3. Real-time serving
Data Exploration and Preparation20%- Data preparation
  • 1. Data cleansing
  • 2. Feature engineering
  • 3. Data transformation
- Data profiling
  • 1. Data quality assessment
  • 2. Exploratory data analysis
  • 3. Feature identification

The Databricks Certified Professional Data Scientist FAQ, Without the Runaround

The Databricks-Certified-Professional-Data-Scientist exam is Databricks's gatekeeper for the Databricks Certification certification, a credential at the Professional level. Passing it says you can apply the Databricks Certified Professional Data Scientist objectives to real problems — a claim employers can act on. It also sits within a broader certification family covering Databricks Certified Associate Data Scientist, Databricks Certified Machine Learning Associate, Databricks Certified Machine Learning Professional, so the work you put in here compounds. Easier said than earned — which is exactly why structured practice beats self-directed wandering.

The Databricks Certified Professional Data Scientist blueprint spans 5 domains, led by Model Deployment and Serving (15%), ML Lifecycle Management (20%), and Data Exploration and Preparation (20%). Read the weightings as marching orders: the domain with the largest share of the score gets the largest share of your week. The full topic list is in the exam topics section above — study to it, not around it.

The Databricks Certified Professional Data Scientist exam packs 60 questions into 120 minutes. Convert that into a personal tempo before test day: minutes divided by questions is your per-item budget, and anything burning double its budget gets flagged and revisited at the end. Rehearse the tempo against a live timer — every ActualTorrent engine session enforces one — until finishing with review time to spare feels normal.

Databricks Certified Professional Data Scientist requires 70% to pass, and each attempt costs USD 200 — including retakes, at full price. The financially sane strategy is arriving over-prepared: drill with ActualTorrent practice questions until your timed scores clear the mark across several consecutive sessions, then register. Over-preparation is cheaper than re-registration.

Databricks lists the Databricks Certified Professional Data Scientist question formats as: Multiple Choice, Multiple Select, Scenario-Based Questions, Online Proctored Exam. Formats shape tactics — locate the actual question sentence inside long scenario stems before reading the rest, and re-verify every selection on multi-answer items. ActualTorrent's 140 practice questions drill these formats until only the content feels new on exam day.

The Databricks-Certified-Professional-Data-Scientist exam is offered in English. Choose the language where your comprehension stays fastest under the clock — slow reading is a hidden tax on every question. If you test in English, daily sessions with ActualTorrent's English Databricks-Certified-Professional-Data-Scientist practice questions double as vocabulary training.

The certification earned through the Databricks Certified Professional Data Scientist exam stays valid for 2 years. Mark the expiry date the day you pass and look into the recertification path early — a planned renewal is an errand, an expired credential is a project. Databricks sets these rules, so confirm the current ones on the official certification page as your window approaches.

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Most candidates end up mixing formats — PDF for reading, an engine for timed rehearsal.

Yes. ActualTorrent's free Databricks Certified Professional Data Scientist PDF demo contains genuine sample questions with verified answers, so you can judge the quality yourself. Every purchase includes 365 days of free updates, and renewing after expiry costs 50% of the regular price from your member zone. Inspect first — confident material has nothing to hide.

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Databricks Certified Professional Data Scientist Sample Questions:

Question #1

Which is an example of supervised learning?

  • A. k-means clustering
  • B. SVM
  • C. SVD
  • D. EM
  • E. PCA
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #2

You are working with the Clustering solution of the customer datasets. There are almost 40 variables are available for each customer and almost 1.00,0000 customer's data is available. You want to reduce the number of variables for clustering, what would you do?

  • A. You will find the correlation among the variables and from the highly co-related variables, you will be considering only one or two variables from it.
  • B. You can combine several variables in one variable
  • C. You will find the correlation among the variables and from their variables are not co-related will be discarded.
  • D. You cannot discard any variable for creating clusters.
  • E. You will randomly reduce the number of variables
Reveal Solution  Discussion  0

Correct Answer: A,B  🗳️

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Question #3

Under which circumstance do you need to implement N-fold cross-validation after creating a regression model?

  • A. There are missing values in the data.
  • B. There are categorical variables in the model.
  • C. The data is unformatted.
  • D. There is not enough data to create a test set.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Question #4

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

  • A. Neural Network
  • B. Support Vector Machine
  • C. Hidden Markov Models
  • D. None of the above
  • E. Logistic Regression
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #5

Which of the following statement true with regards to Linear Regression Model?

  • A. Ordinary Least Square is a sum of the squared individual distance between each point and the fitted line of regression model.
  • B. In Linear model, it tries to find multiple lines which can approximate the relationship between the outcome and input variables.
  • C. Ordinary Least Square is a sum of the individual distance between each point and the fitted line of regression model.
  • D. Ordinary Least Square can be used to estimates the parameters in linear model
Reveal Solution  Discussion  0

Correct Answer: A,D  🗳️

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