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- Total Questions: 76
- Updated on: Oct 13, 2026
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Everyone studies differently, so Exams4sures offers the Databricks Certified Machine Learning Associate prep material in three formats: a printable PDF, a desktop test engine for Windows, and an online test engine that runs in any browser. All three carry the same 76 practice questions.
Databricks Databricks-Machine-Learning-Associate Exam Overview:
| Certification Vendor: | Databricks |
|---|---|
| Exam Name: | Databricks Certified Machine Learning Associate Exam |
| Exam Number: | Databricks-Machine-Learning-Associate |
| Exam Duration: | 90 minutes |
| Available Languages: | Korean, Japanese, English, Portuguese (Brazil) |
| Certificate Validity Period: | 2 years |
| Passing Score: | Not publicly disclosed |
| Real Exam Qty: | 48 |
| Related Certifications: | Databricks Certified Data Engineer Associate Databricks Certified Data Analyst Associate |
| Exam Price: | USD 200 (plus applicable taxes) |
| Exam Format: | Multiple-choice, Multiple-selection |
| Recommended Training: | Databricks Academy Machine Learning with Databricks |
| Exam Registration: | Official Registration |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored or in-person at authorized test centers |
| Pre Condition: | No formal prerequisites; 6+ months hands-on Databricks ML experience recommended |
| Official Syllabus URL: | https://www.databricks.com/learn/certification/machine-learning-associate |
Databricks Databricks-Machine-Learning-Associate Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: ML Workflows | 19% | - MLflow Tracking and Experimentation
|
| Topic 2: Databricks Machine Learning | 38% | - Databricks ML Environment and Capabilities
|
| Topic 3: Model Development | 31% | - Data Preparation and Feature Engineering
|
| Topic 4: Model Deployment | 12% | - Model Registry and Serving
|
Databricks Databricks-Machine-Learning-Associate Exam: Frequently Asked Questions
The Databricks Certified Machine Learning Associate exam is the official Databricks test registered under exam code Databricks-Machine-Learning-Associate. Passing it earns you the Databricks Certified Machine Learning Associate certification, a credential at the Associate level. It is also linked to the related certifications: Databricks Certified Data Analyst Associate, Databricks Certified Data Engineer Associate. Databricks exams are valued because they test job-ready skills, so a passing score here carries real weight on a resume.
The Databricks Certified Machine Learning Associate exam includes 48 questions to be completed within 90 minutes. Do the pacing math before exam day: with that many items on the clock, you need a steady rhythm and the discipline to flag a hard question and move on instead of stalling. Two or three full timed sessions with the Exams4sures test engine will show you exactly what that pace feels like, so time pressure stops being a factor on the real day.
To pass the Databricks Certified Machine Learning Associate exam you need Not publicly disclosed, and the official registration fee is USD 200 (plus applicable taxes). A retake is not discounted: a failed attempt means paying the full USD 200 (plus applicable taxes) again, so treat your first sitting as the expensive one. A sensible rule is to book your seat only after you are scoring comfortably above the passing mark on the Exams4sures practice tests, not just squeaking past it once.
No formal prerequisites; 6+ months hands-on Databricks ML experience recommended
Eligibility rules do change from time to time, so confirm the current requirements before you register on the official exam page.
Registration for the Databricks Certified Machine Learning Associate exam goes through the official channels below.
As for the delivery format, the exam is taken Online proctored or in-person at authorized test centers.
Databricks points candidates toward the following training options for Databricks Certified Machine Learning Associate.
Course work builds the foundation; question practice makes it stick. The 76 practice questions in the Exams4sures Databricks-Machine-Learning-Associate package let you rehearse each topic under exam-style pressure before the real thing.
Yes. Exams4sures offers a free PDF demo of the Databricks Certified Machine Learning Associate material so you can judge the question quality and format before spending anything. After purchase, your license includes 365 days of free updates, and if you want to keep receiving updates after that period, renewals are available at a 50% discount.
If you take the Databricks Certified Machine Learning Associate exam within 60 days of your purchase and do not pass, Exams4sures backs you with a 100% money-back guarantee. The claim must match the exam your product covers: attempts taken within 3 days of purchase are not eligible (that is too little preparation time), and neither are downloaded-but-unused products, free materials, or expired orders. The candidate name must match the payer name, and you need to submit a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam; claims are processed within 7 days. Prefer not to refund? You can swap instead and receive two other exam products of equal value for free while keeping the update service on your original purchase.
Delivery itself is instant: your files are downloadable right away and 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 may install the software on.
The official Databricks Certified Machine Learning Associate syllabus is organized into 4 domains. Key areas include Model Deployment (12%), Databricks Machine Learning (38%), and ML Workflows (19%). The complete, up-to-date topic list appears in the exam topics section above; work through it line by line and flag anything you cannot yet explain in your own words.
Databricks Certified Machine Learning Associate Sample Questions:
A health organization is developing a classification model to determine whether or not a patient currently has a specific type of infection. The organization's leaders want to maximize the number of positive cases identified by the model.
Which of the following classification metrics should be used to evaluate the model?
- A. Area under the residual operating curve
- B. RMSE
- C. Precision
- D. Accuracy
- E. Recall
Correct Answer: E 🗳️
Explanation: Only visible for Exams4sures members. You can sign-up / login (it's free).
A machine learning engineering team has a Job with three successive tasks. Each task runs a single notebook. The team has been alerted that the Job has failed in its latest run.
Which of the following approaches can the team use to identify which task is the cause of the failure?
- A. Run each notebook interactively
- B. Change each Task's setting to use a dedicated cluster
- C. Review the matrix view in the Job's runs
- D. Migrate the Job to a Delta Live Tables pipeline
Correct Answer: C 🗳️
Explanation: Only visible for Exams4sures members. You can sign-up / login (it's free).
A data scientist wants to tune a set of hyperparameters for a machine learning model. They have wrapped a Spark ML model in the objective function objective_function and they have defined the search space search_space.
As a result, they have the following code block:
Which of the following changes do they need to make to the above code block in order to accomplish the task?
- A. Remove the trials=trials argument
- B. Reduce num_evals to be less than 10
- C. Change fmin() to fmax()
- D. Change SparkTrials() to Trials()
- E. Remove the algo=tpe.suggest argument
Correct Answer: D 🗳️
Explanation: Only visible for Exams4sures members. You can sign-up / login (it's free).
The implementation of linear regression in Spark ML first attempts to solve the linear regression problem using matrix decomposition, but this method does not scale well to large datasets with a large number of variables.
Which of the following approaches does Spark ML use to distribute the training of a linear regression model for large data?
- A. Least-squares method
- B. Logistic regression
- C. Singular value decomposition
- D. Spark ML cannot distribute linear regression training
- E. Iterative optimization
Correct Answer: E 🗳️
Explanation: Only visible for Exams4sures members. You can sign-up / login (it's free).
The implementation of linear regression in Spark ML first attempts to solve the linear regression problem using matrix decomposition, but this method does not scale well to large datasets with a large number of variables.
Which of the following approaches does Spark ML use to distribute the training of a linear regression model for large data?
- A. Least-squares method
- B. Logistic regression
- C. Singular value decomposition
- D. Iterative optimization
Correct Answer: D 🗳️
Explanation: Only visible for Exams4sures members. You can sign-up / login (it's free).
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