A free demo says more than a sales page. Download the Databricks Certified Machine Learning Professional trial from ValidVCE and inspect 193 practice questions for the Databricks-Machine-Learning-Professional exam before paying in 2026.
Databricks Databricks-Machine-Learning-Professional Exam Overview:
| Certification Vendor: | Databricks |
|---|---|
| Exam Name: | Databricks Certified Machine Learning Professional Exam |
| Exam Number: | Databricks-Machine-Learning-Professional |
| Exam Price: | $200 USD |
| Available Languages: | English |
| Certificate Validity Period: | 2 years |
| Exam Duration: | 120 minutes |
| Passing Score: | Not publicly disclosed (approximately 70%) |
| Related Certifications: | Databricks Certified Machine Learning Associate |
| Real Exam Qty: | 59 |
| Exam Format: | Multiple choice, Multi-select |
| Recommended Training: | Advanced Machine Learning Operations Machine Learning at Scale |
| Exam Registration: | Databricks Certification Portal |
| Sample Questions: | ![]() |
| Exam Way: | Online proctored or in-person test center |
| Pre Condition: | No mandatory prerequisites; recommended: 6+ months hands-on experience with Databricks ML, SparkML, MLflow, and Python |
| Official Syllabus URL: | https://www.databricks.com/learn/certification/machine-learning-professional |
Databricks Databricks-Machine-Learning-Professional Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Model Development | 44% | - Advanced MLflow usage - Feature Store and automated feature pipelines - Scalable ML pipelines with SparkML - Distributed training and hyperparameter tuning |
| Topic 2: ML Ops | 44% | - Testing and validation strategies - Environment management with Databricks Asset Bundles - Automated retraining workflows - Model monitoring and drift detection with Lakehouse Monitoring |
| Topic 3: Model Deployment | 12% | - Model rollout and version management - Deployment strategies - Custom model serving |
Databricks Certified Machine Learning Professional Exam FAQ — Complete Answers
The Databricks Certified Machine Learning Professional blueprint spans 3 domains — including Model Deployment (12%), ML Ops (44%), Model Development (44%). Weightings show where the exam concentrates; the full outline above covers every subtopic.
Through the vendor's official registration channels:
The Databricks Certified Machine Learning Professional is delivered Online proctored or in-person test center — choose the arrangement that suits you when booking.
How much is the Databricks-Machine-Learning-Professional exam fee, and what score do I need to pass?
$200 USD per attempt, Not publicly disclosed (approximately 70%) to pass. Every retake bills the full fee, so make practice thorough first — the 193 practice questions for the Databricks-Machine-Learning-Professional exam at ValidVCE are the affordable rehearsal.
Delivery is instant — an automatic email within a minute of payment, unlimited installations, and 24/7 customer assisting for downloading or purchasing problems if nothing arrives within 2 hours. If you fail the corresponding Databricks-Machine-Learning-Professional exam within 60 days of purchase, pick your remedy: a full refund (email a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam; after confirmation, processed within 7 days), waiting for the next updated version free, or a free change to two other equal-value dumps. Excluded: exams within 3 days of purchase, candidate names that don't match the payer, and free or expired products.
Yes:
Training covers theory; interactive practice covers readiness. After any course, rehearse with the 193 practice questions for the Databricks Certified Machine Learning Professional — every answer expert-verified.
The Databricks Certified Machine Learning Professional is Databricks's certification exam for Databricks Certified Machine Learning Professional, at the Professional level. It demonstrates verified, job-relevant capability to employers. Related credentials include Databricks Certified Machine Learning Associate.
120 minutes for 59 questions. Rehearse the format interactively: the ValidVCE online engine recreates the test atmosphere, so pacing is trained before it counts.
Yes — a free Databricks Certified Machine Learning Professional demo is available to download on our exam page. Evaluate the material yourself; purchases include 365 days of free updates, emailed immediately upon release, renewable at 50% off afterward.
No mandatory prerequisites; recommended: 6+ months hands-on experience with Databricks ML, SparkML, MLflow, and Python Eligibility rules change from time to time, so confirm the current requirements on the official page (official Databricks-Machine-Learning-Professional exam page) before booking.
Databricks Certified Machine Learning Professional Sample Questions:
A machine learning engineer has created a webhook with the following code block:
Which code block will trigger this webhook to run the associate job?
- A.

- B.

- C.

- D.

Correct Answer: A 🗳️
Explanation: Only visible for ValidVCE members. You can sign-up / login (it's free).
A Data Scientist is using Spark ML to train a model for detecting fraudulent transactions (1:
fraudulent, 0: non-fraudulent). To maximize the model's overall AUC (ROC) score, the Data Scientist wants to perform hyperparameter tuning on a Random Forest classifier. Due to budget constraints, the tuning process must be completed efficiently to avoid excessive compute costs.
Which approach will fulfill their needs?
- A.

- B.

- C.

- D.

Correct Answer: A 🗳️
Explanation: Only visible for ValidVCE members. You can sign-up / login (it's free).
Which deployment paradigm can centrally compute predictions for a single record with exceedingly fast results?
- A. Edge/on-device
- B. Real-time
- C. None of these strategies will accomplish the task.
- D. Streaming
- E. Batch
Correct Answer: B 🗳️
A Data Scientist is tasked with developing models to forecast product demand. The company offers 5000 different product types, and the Data Scientist must generate weekly forecasts for each type. They have access to two years of historical purchase data and are given ample project budget.
For their next project, they want to build 5000 separate Random Forest models, one for each product type. They aim to train all the models as quickly as possible with minimal setup.
Which approach meets these requirements?
- A. Leverage the pandas function API (Grouped map) to group the data by product type and apply a custom model training function to each group.
- B. Use the DeepSpeed library to distribute the data by product across different nodes to enable the parallel training of multiple models.
- C. Use the RandomForest method from MLlib. This will leverage Spark's parallel processing capability to train 5000 different models.
- D. Create a Databricks Workflow with 5000 tasks. Each task is configured to accept a product ID as a parameter which will then train a model based on the specified product ID.
Correct Answer: A 🗳️
Explanation: Only visible for ValidVCE members. You can sign-up / login (it's free).
A machine learning engineer is migrating a machine learning pipeline to use Data bricks Machine Learning. The pipeline needs to automatically refresh its model each time it runs.
They are using the following code block as part of their solution:
Assuming that this is the first time that the model is being run, which statement describes the impact of the registered_model_name=model_name parameter?
- A. It avoids the need to specify the model name in the subsequent required call to mflow.register_model.
- B. It registers a new model called model_name in the MLflow Model Registry.
- C. It registers the new version of the existing model_name model in the MLflow Model Registry.
- D. It identifies the name of the logged model in the MLflow Experiment.
Correct Answer: B 🗳️
Explanation: Only visible for ValidVCE members. You can sign-up / login (it's free).



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