Free Certified Machine Learning Associate Exam Questions and Answers
Certified Machine Learning Associate 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
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- 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 using Databricks for machine learning?
Please select an optionIncorrectCorrect answer: B
Databricks is designed to streamline the model training and deployment process, making it easier for data scientists to work collaboratively.
Was this answer correct?Question #2
In a Databricks notebook, which language is NOT supported for writing code?
Please select an optionIncorrectCorrect answer: B
Databricks supports several languages including Python, R, and Scala, but SQL is primarily used for querying data rather than as a primary coding language.
Was this answer correct?Question #3
Which feature of Databricks allows teams to work on a project simultaneously?
Please select an optionIncorrectCorrect answer: C
Collaborative notebooks allow multiple users to work on the same project in real-time, enhancing teamwork and productivity.
Was this answer correct?Question #4
What is the function of MLflow in Databricks?
Please select an optionIncorrectCorrect answer: A
MLflow is an open-source platform for managing the machine learning lifecycle, including experimentation, reproducibility, and deployment.
Was this answer correct?Question #5
How does Databricks handle version control for notebooks?
Please select an optionIncorrectCorrect answer: A
Databricks allows integration with Git to manage version control for notebook changes effectively.
Was this answer correct?Question #6
Which Databricks feature is specifically designed for managing big data workloads?
Please select an optionIncorrectCorrect answer: C
Apache Spark is the core engine designed for handling big data workloads, offering powerful processing capabilities for large datasets.
Was this answer correct?Question #7
What does Delta Lake provide on Databricks?
Please select an optionIncorrectCorrect answer: B
Delta Lake allows for ACID transactions on data lakes, ensuring data integrity and enabling complex data workflows.
Was this answer correct?Question #8
In Databricks, which component helps automate the deployment of machine learning models?
Please select an optionIncorrectCorrect answer: D
Databricks MLflow is specifically designed to manage and automate the deployment of machine learning models.
Was this answer correct?Question #9
A data scientist is using Databricks to build a machine learning model. What is the first step they should take?
Please select an optionIncorrectCorrect answer: A
The first step in building a machine learning model is to clean and preprocess the data to ensure it is in a suitable format for analysis.
Was this answer correct?Question #10
During a model evaluation, the data scientist found a high bias. What action could they take to reduce it?
Please select an optionIncorrectCorrect answer: D
Increasing model complexity can help reduce bias by allowing the model to capture more intricate patterns in the training data.
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 Associate exam?
- A: Certified Machine Learning Associate is a Databricks certification exam. Judging by the questions in our bank, it concentrates on databricks, scientist, learning, machine and experiments.
- Q2: What topics does the Certified Machine Learning Associate exam cover?
- A: Questions in our Certified Machine Learning Associate bank cluster around databricks, scientist, learning, machine, experiments, scientists, trained and poor. 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 Associate?
- A: Work through the Certified Machine Learning Associate 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 Associate exam questions?
- A: They are drawn from officially released past questions and from community members who have sat Certified Machine Learning Associate. Answers are verified and updated weekly.
- Q5: Where do I register for the Certified Machine Learning Associate 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 Associate sample?
- A: Yes. Every Certified Machine Learning Associate 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.