Databricks Databricks-Certified-Professional-Data-Scientist Valid Dump : Databricks Certified Professional Data Scientist Exam

Databricks-Certified-Professional-Data-Scientist real exams

Exam Code: Databricks-Certified-Professional-Data-Scientist

Exam Name: Databricks Certified Professional Data Scientist Exam

Updated: Sep 09, 2026

Q & A: 140 Questions and Answers

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Earning the Databricks Certified Professional Data Scientist credential tells employers you can work with Databricks technologies at a professional level. Prepare for the Databricks-Certified-Professional-Data-Scientist exam in 2026 with the 140 expert-prepared practice questions from Actual4Exams.

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
Real Exam Qty:Approximately 45-60 (may vary)
Certificate Validity Period:2 years
Exam Price:$200 USD (may vary by region)
Available Languages:English
Related Certifications:Databricks Certified Data Engineer Associate
Databricks Certified Machine Learning Professional
Databricks Certified Machine Learning Associate
Passing Score:Not publicly disclosed
Exam Format:Scenario-based questions, Proctored online exam, Multiple choice
Exam Duration:120-150
Recommended Training:Databricks Academy Machine Learning Courses
Exam Registration:Databricks Certification Registration
Sample Questions:Free Download Databricks-Certified-Professional-Data-Scientist valid dump
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:

SectionObjectives
Machine Learning Fundamentals- Supervised Learning
  • 1. Regression models
    • 2. Classification models
      • 3. Model evaluation metrics
        - Unsupervised Learning
        • 1. Clustering techniques
          • 2. Dimensionality reduction
            Data Preparation and Feature Engineering- Feature engineering with Spark
            • 1. Distributed data processing
              • 2. Feature pipelines
                - Data cleaning and transformation
                • 1. Handling missing values
                  • 2. Encoding categorical variables
                    Model Evaluation and Optimization- Hyperparameter tuning
                    • 1. Random search
                      • 2. Grid search
                        - Performance evaluation
                        • 1. Cross-validation
                          • 2. Bias-variance tradeoff
                            Machine Learning with Databricks- MLflow and experiment tracking
                            • 1. Experiment comparison
                              • 2. Model logging
                                - Model deployment
                                • 1. Batch inference
                                  • 2. Real-time inference concepts
                                    Responsible AI and Production ML- Model governance
                                    • 1. Model monitoring
                                      • 2. Reproducibility practices

                                        Common Questions About the Databricks Databricks-Certified-Professional-Data-Scientist Exam

                                        The Databricks-Certified-Professional-Data-Scientist exam, officially known as Databricks Certified Professional Data Scientist, is the Databricks test that leads to the Databricks Certified Professional Data Scientist certification at the Professional level. Passing it validates the skills employers expect from a certified professional. It is also associated with related credentials such as Databricks Certified Data Engineer Associate, Databricks Certified Machine Learning Associate, Databricks Certified Machine Learning Professional.

                                        The Databricks-Certified-Professional-Data-Scientist exam contains Approximately 45-60 (may vary) questions, and you have 120-150 to complete them. Work out your per-question pace before test day, and flag slow items instead of stalling on them — time pressure, not knowledge, sinks many first attempts. Timed mock exams in the Actual4Exams test engines are the most reliable way to build that rhythm.

                                        The passing score for the Databricks-Certified-Professional-Data-Scientist exam is Not publicly disclosed, and the official registration fee is $200 USD (may vary by region). If you miss the mark, a retake means paying the full fee again, so book your seat only when you are ready. A practical benchmark: score consistently above the passing line on timed practice tests before scheduling the real exam.

                                        Recommended: strong knowledge of Python, SQL, machine learning fundamentals, and experience with Databricks Lakehouse platform

                                        Entry requirements can change, so confirm the latest conditions on the official exam page: https://www.databricks.com/learn/certification.

                                        You can book the Databricks-Certified-Professional-Data-Scientist exam through the official registration channels below:

                                        Exam delivery: Online proctored exam. Seats at popular test centers fill quickly, so schedule early once your preparation is on track.

                                        Databricks recommends the following training options for Databricks Certified Professional Data Scientist candidates:

                                        Pair any course with the 140 practice questions from Actual4Exams to measure how ready you really are before paying the exam fee.

                                        Yes. A free PDF demo of the Databricks Certified Professional Data Scientist questions is available, so you can check the question style and answer quality before you pay. Every purchase also includes 365 days of free updates, and if the product expires you can renew the update service at a 50% discount from your member zone.

                                        If you take the corresponding Databricks-Certified-Professional-Data-Scientist exam within 60 days of purchase and do not pass, you can apply for a full refund under the 100% Money Back Guarantee: submit a scan of your enrollment slip and your official Score Report (PDF) within 2 days of the exam date, and the claim is processed within 7 days. Attempts made within 3 days of purchase, downloads without an actual exam attempt, free materials, and expired orders are not eligible, and the candidate name must match the payer name. Prefer new material instead of a refund? You can exchange your purchase for two free products of equal value and keep the update service on your original product. As for delivery, the files are available for instant download and are also emailed to you within one minute of payment — if nothing arrives within 2 hours, contact customer service. There is no limit on how many computers you can install the product on.

                                        The official Databricks Certified Professional Data Scientist outline is organized into 5 domains. The first three are:

                                        • Responsible AI and Production ML
                                        • Machine Learning Fundamentals
                                        • Model Evaluation and Optimization

                                        See the complete exam topics section above for the full outline and the weighting of every domain.

                                        Databricks Certified Professional Data Scientist Sample Questions:

                                        Question 1

                                        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......

                                        A. Categorical
                                        B. None of the 1 and 2 are correct
                                        C. Numerical
                                        D. Both 1 and 2 are correct


                                        Question 2

                                        Suppose you have made a model for the rating system, which rates between 1 to 5 stars. And you calculated that RMSE value is 1.0 then which of the following is correct

                                        A. It means that your predictions are on average four star off of what people really think
                                        B. It means that your predictions are on average two star off of what people really think
                                        C. It means that your predictions are on average three star off of what people really think
                                        D. It means that your predictions are on average one star off of what people really think


                                        Question 3

                                        Select the choice where Regression algorithms are not best fit

                                        A. Employee status
                                        B. Temperature in the atmosphere
                                        C. When the dimension of the object given
                                        D. Weight of the person is given


                                        Question 4

                                        Question-26. There are 5000 different color balls, out of which 1200 are pink color. What is the maximum likelihood estimate for the proportion of "pink" items in the test set of color balls?

                                        A. 4.8
                                        B. .48
                                        C. 24 0
                                        D. .24
                                        E. 2.4


                                        Question 5

                                        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. Choose the initial centroids so that they all He along different axes
                                        B. Run at least log(N) iterations of Lloyd's algorithm, 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. Only consider values of k larger than log(N), where N is the number of observations in the data set


                                        Solutions:

                                        Question 1
                                        Answer: D
                                        Question 2
                                        Answer: D
                                        Question 3
                                        Answer: A
                                        Question 4
                                        Answer: D
                                        Question 5
                                        Answer: C

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                                        We still understand the effort, time, and money you will invest in preparing for your certification exam, which makes failure in the Databricks Databricks-Certified-Professional-Data-Scientist exam really painful and disappointing. Although we cannot reduce your pain and disappointment but we can certainly share with you the financial loss.

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