Free Certified Machine Learning Professional Exam Questions and Answers
Certified Machine Learning Professional is part of the Databricks certification programme. Three things hold across every Databricks exam: it costs $200, it is delivered by Kryterion either online-proctored or at a test centre, and it is valid for two years, after which you retake the current version in full — there is no continuing-education route and no free retake voucher, and you must wait 14 days between attempts. Associate papers run 45 to 48 scored questions in 90 minutes with six months' hands-on experience recommended but nothing required. Databricks deliberately publishes no pass mark for any of its exams.
The first 10 questions on this page are free to read, answers included — no account and no card. A plan opens the rest of the bank, the full timed practice test and your weak-topic reporting.
Last updated: September 7, 2026
- Provider
- Databricks
- Questions in our bank
- 1000+
- Free to read
- First 10, with answers
- Official page
- Official Exam website
- Our test mode duration & pass mark
- 130 mins · 70%
- Verified answers
- Reviewed weekly
Recommended: Switch to Test Mode to start a practice test that simulates the real exam experience.
Question #1
What is the primary purpose of Databricks?
Please select an optionIncorrectCorrect answer: A
Databricks is primarily a unified analytics platform designed to accelerate innovation by unifying data science and engineering.
Was this answer correct?Question #2
In a machine learning pipeline, which stage comes immediately after data cleaning?
Please select an optionIncorrectCorrect answer: B
After data cleaning, the next step is typically feature engineering, where relevant features are created for model training.
Was this answer correct?Question #3
Which library in Databricks is primarily used for distributed machine learning?
Please select an optionIncorrectCorrect answer: D
MLlib is the machine learning library in Apache Spark, which Databricks uses for distributed machine learning.
Was this answer correct?Question #4
When using Databricks, which of the following is a recommended practice for model storage?
Please select an optionIncorrectCorrect answer: C
MLflow is a popular tool for managing the machine learning lifecycle, including model tracking and storage.
Was this answer correct?Question #5
What is the benefit of using Delta Lake in Databricks?
Please select an optionIncorrectCorrect answer: C
Delta Lake provides ACID transactions on Apache Spark, improving data reliability and consistency in Databricks.
Was this answer correct?Question #6
How does Databricks handle version control for data?
Please select an optionIncorrectCorrect answer: A
Databricks integrates with Git to provide version control for notebooks and data.
Was this answer correct?Question #7
In a Spark DataFrame, what does the 'dropDuplicates()' method do?
Please select an optionIncorrectCorrect answer: C
The 'dropDuplicates()' method in Spark DataFrame removes duplicate rows based on the specified columns.
Was this answer correct?Question #8
Which of the following is NOT a feature of Databricks?
Please select an optionIncorrectCorrect answer: D
Databricks supports multiple programming languages, making it versatile for data science and analytics.
Was this answer correct?Question #9
What role does feature engineering play in machine learning?
Please select an optionIncorrectCorrect answer: B
Feature engineering is essential for improving model accuracy by transforming raw data into meaningful features.
Was this answer correct?Question #10
In a collaborative Databricks environment, which feature allows multiple users to work together?
Please select an optionIncorrectCorrect answer: A
Notebook sharing facilitates collaboration in Databricks, allowing multiple users to edit and comment on notebooks simultaneously.
Was this answer correct?
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FAQ
Learn More: https://www.databricks.com/learn/training/certification
- Q1: What is the Certified Machine Learning Professional exam?
- A: Certified Machine Learning Professional is a Databricks certification exam. Judging by the questions in our bank, it concentrates on scientist, learning, databricks, predictions and machine.
- Q2: What topics does the Certified Machine Learning Professional exam cover?
- A: Questions in our Certified Machine Learning Professional bank cluster around scientist, learning, databricks, predictions, machine, dataset, neural and accuracy. Working through the full set is the quickest way to find which of these you are weakest on.
- Q3: How should I prepare for Certified Machine Learning Professional?
- A: Work through the Certified Machine Learning Professional practice questions here, checking your answer on each one, then sit the practice test to rehearse the exam under timed conditions before the real thing.
- Q4: Are these real Certified Machine Learning Professional exam questions?
- A: They are drawn from officially released past questions and from community members who have sat Certified Machine Learning Professional. Answers are verified and updated weekly.
- Q5: Where do I register for the Certified Machine Learning Professional exam?
- A: Register through Databricks directly at https://www.databricks.com/learn/training/certification. Exampractice is not affiliated with Databricks and does not administer the exam.
- Q6: Is there a free Certified Machine Learning Professional sample?
- A: Yes. Every Certified Machine Learning Professional page shows a free sample of real questions. Upgrading opens the full bank and the practice test.
- Q7: What are Databricks Certification Exams?
- A: Databricks Certification Exams validate your expertise in using Databricks’ unified data analytics platform. These certifications demonstrate your proficiency in data engineering, data analysis, and machine learning, utilizing Databricks tools and the Apache Spark framework.
- Q8: Why should I pursue Databricks Certification?
- A: Databricks Certification enhances your professional credibility, showcasing your skills and knowledge in big data analytics and machine learning. This can lead to better job opportunities, higher salaries, and career advancement in data science, data engineering, and IT industries.
- Q9: What are the benefits of Databricks Certification?
- A: Benefits include recognition as a certified data professional, improved job performance, access to exclusive resources, continuing education opportunities, and staying current with the latest data analytics technologies and best practices.
- Q10: Who should take Databricks Certification Exams?
- A: Data engineers, data scientists, data analysts, machine learning practitioners, and anyone involved in processing and analyzing large datasets should consider these certifications to validate their expertise and advance their careers.
- Q11: What types of Databricks Certification Exams are available?
- A: Databricks offers various certification paths, including:
- Q12: How do I prepare for Databricks Certification Exams?
- A: Preparation can include official Databricks training courses, study guides, practice exams, online tutorials, and hands-on experience with Databricks tools and the Apache Spark framework.
- Q13: Where can I take Databricks Certification Exams?
- A: Databricks Certification Exams can be taken online, providing flexibility to fit your schedule and location.
- Q14: How do Databricks Certifications impact my career?
- A: Databricks Certifications significantly boost your career by demonstrating your expertise to employers, making you a more competitive candidate for advanced roles and promotions in data science, data engineering, and IT.
- Q15: Are there any prerequisites for Databricks Certification Exams?
- A: Some exams may have prerequisites, such as foundational knowledge or prior experience with Databricks and Apache Spark. Check the specific requirements for each certification path on the Databricks website.
- Q16: How often do I need to recertify for Databricks Certifications?
- A: Databricks Certifications typically require recertification every two years to ensure that certified professionals stay updated with the latest data analytics technologies and industry practices.