Exam Name: Databricks Certified Machine Learning Professional
Certification Provider: Databricks
Corresponding Certification: ML Data Scientist
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Databricks Databricks-Machine-Learning-Professional Exam Overview:
| Certification Vendor: | Databricks |
|---|---|
| Exam Name: | Databricks Certified Machine Learning Professional |
| Exam Number: | Databricks-Machine-Learning-Professional |
| Exam Duration: | 120 minutes |
| Certificate Validity Period: | 2 years |
| Passing Score: | Not publicly disclosed |
| Related Certifications: | Databricks Certified Machine Learning Associate |
| Exam Price: | $200 USD |
| Exam Format: | Multiple select, Scenario-based questions, Multiple choice |
| Real Exam Qty: | Approximately 45–60 |
| Available Languages: | English |
| Recommended Training: | Databricks Academy Machine Learning Training |
| Exam Registration: | Databricks Certification Portal |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored exam (typically delivered via Databricks certification partners such as Certiverse or Pearson VUE depending on region and current program structure) |
| Pre Condition: | Recommended experience with Databricks platform and machine learning workflows; Databricks Certified Machine Learning Associate certification is often recommended but not strictly required. |
| Official Syllabus URL: | https://www.databricks.com/learn/certification |
Databricks Databricks-Machine-Learning-Professional Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Machine Learning Models and Algorithms | - Unsupervised learning methods
|
| Topic 2: MLOps, Monitoring, and Governance | - Governance and compliance
|
| Topic 3: Model Deployment and Serving | - Model deployment strategies
|
| Topic 4: Machine Learning Workflow on Databricks | - End-to-end ML pipelines
|
| Topic 5: MLflow and Experiment Tracking | - Experiment management
|
Your Databricks Certified Machine Learning Professional Exam Questions, Answered
Databricks recommends these training resources for the Databricks Certified Machine Learning Professional exam:
Follow the training with steady self-testing — the 193 practice questions from PremiumVCEDump help you apply theory and fill any gaps the training leaves.
The official Databricks Certified Machine Learning Professional outline defines 5 domains. The leading three are Machine Learning Workflow on Databricks, Model Deployment and Serving, and MLflow and Experiment Tracking. The full list is in the topics section above, and PremiumVCEDump's 193 practice questions cover each one.
Online proctored exam (typically delivered via Databricks certification partners such as Certiverse or Pearson VUE depending on region and current program structure) Register for the Databricks Certified Machine Learning Professional exam through these official channels:
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The Databricks Certified Machine Learning Professional exam contains Approximately 45–60 to complete within 120 minutes. Timed simulation in the PremiumVCEDump Desktop Test Engine teaches that rhythm before exam day does.
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The Databricks-Machine-Learning-Professional exam is a Databricks certification exam validating the Databricks Certified Machine Learning Professional syllabus shown above. It belongs to these credential paths: Databricks Certified Machine Learning Associate. Candidates in 2026 prepare for it with PremiumVCEDump's 193 practice questions, available as a printable PDF, a Windows Desktop Test Engine, and an Online Test Engine — three versions of the same materials.
Recommended experience with Databricks platform and machine learning workflows; Databricks Certified Machine Learning Associate certification is often recommended but not strictly required. Since requirements change over time, confirm the latest on the official Databricks exam page before scheduling.
The Databricks Certified Machine Learning Professional exam requires Not publicly disclosed to pass, and registration costs $200 USD. A failed attempt means paying the same fee again — a readiness check with the PremiumVCEDump engines before booking is the cheaper option.
Three versions of the same study materials: a printable, expert-prepared PDF with free demo download and instant access; a Desktop Test Engine for Windows with customizable simulation and timed modes that works offline; and an Online Test Engine for any browser on Windows, Mac, Android, and iOS with test history and performance review. All 193 practice questions are identical across versions. Every purchase includes 365 days of free updates, a 50% renewal discount afterward, and unlimited computer installations.
Databricks Certified Machine Learning Professional Sample Questions:
A Machine Learning Engineer needs to develop a custom anomaly detection model that monitors the internal IT infrastructure of their company. The model takes in compute metrics, logs, and user data and generates a binary prediction. The engineer plans to deploy it as a Databricks Model Serving endpoint. In production there will only be one client calling the endpoint once every
15 seconds. Leadership sees the model as an important part of their operational improvement strategy so maintaining consistent, stable, low latency inference is a requirement while minimizing infrastructure costs. The engineer plans to deploy the endpoint via the MLflow Deployment SDK.
Which endpoint config for the MLflow Deployment SDK should the engineer select?
- A.
- B.
- C.
- D.
Correct Answer: B 🗳️
Explanation: Only visible for PremiumVCEDump members. You can sign-up / login (it's free).
A data scientist is using MLflow to track their machine learning experiment. As a part of each MLflow run, they are performing hyperparameter tuning. The data scientist would like to have one parent run for the tuning process with a child run for each unique combination of hyperparameter values.
They are using the following code block:
The code block is not nesting the runs in MLflow as they expected.
Which of the following changes does the data scientist need to make to the above code block so that it successfully nests the child runs under the parent run in MLflow?
- A. Add the nested=True argument to the parent run
- B. Add the nested=True argument to the parent run and remove the nested=True arguments from the child runs
- C. Provide the same name to the run name parameter for all three run blocks
- D. Remove the nested=True argument from the child runs
- E. Indent the child run blocks within the parent run block
Correct Answer: B 🗳️
A data scientist has written a function to track the runs of their random forest model. The data scientist is changing the number of trees in the forest across each run. Which of the following MLflow operations is designed to log single values like the number of trees in a random forest?
- A. mlflow.log_artifact
- B. mlflow.log_model
- C. mlflow.log_metric
- D. mlflow.log_param
- E. There is no way to store values like this.
Correct Answer: C 🗳️
Which of the following Databricks-managed MLflow capabilities is a centralized model store?
- A. Feature Store
- B. Model Registry
- C. Models
- D. Model Serving
- E. Experiments
Correct Answer: B 🗳️
Which evaluator is used for binary classification?
- A. BinaryClassificationEvaluator
- B. RegressionEvaluator
- C. ClusteringEvaluator
- D. MulticlassEvaluator
Correct Answer: A 🗳️
Explanation: Only visible for PremiumVCEDump members. You can sign-up / login (it's free).
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