Exam Title: Databricks Certified Machine Learning Professional
Certification Name: Databricks Machine Learning Professional
Exam Code: Databricks Machine Learning Professional
Total Questions: 60
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The Databricks Certified Machine Learning Professional is intended for professionals who want to demonstrate their expertise in building and deploying machine learning models at scale using the Databricks platform. Obtaining this certification will demonstrate the skills required for MLOps practices, including model lifecycle management, automated workflows, deployment strategies, etc.
| Aspects | Details |
| Type | Proctored Certification |
| No. of Questions | 59 |
| Time Required | 120 minutes |
| Passing Score | 70% |
| Exam Format | Multiple Choice Questions |
| Languages | English |
| Delivery Method | Online Proctored |
| Validation Period | 2 Years |
| Exam Delivery | Online Proctored |
| Domains | Weightage |
| Model Development | 44% |
| ML Ops | 44% |
| Model Deployment | 12% |
Candidates do not need to meet any prerequisites, as this certification has none. However, it is beneficial for candidates to have training in their niche; in addition, one year of practical experience in data engineering tasks outlined in the exam guide is recommended.
Explore the finest recommendations: The Ultimate Guide to Databricks Certifications 2026
The Databricks Certified Machine Learning Professional certification costs around USD 200. The price for this certification varies by currency.
The Databricks Certified Machine Learning Professional certification exam is primarily recommended for Data Scientists and Machine Learning Engineers. Data Analysts and Data Engineers. AI Practitioners and Researchers.
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Download the Latest Databricks ML Professional Dumps – Pass Your Exam on the First Try!
Candidates who are obtaining the Databricks Certified Machine Learning Professional certification must score around 70% on 45 questions to earn it.
Actually, it depends on the individual! Some people do not find it difficult, while others do. But with the right resources and preparation, you can ace your exam.
Yes, Databricks requires some coding knowledge; some of the coding languages may include Python, SQL, or Scala. Dataricks helps candidates manage complex datasets and discover insights.
Databricks notebooks are Python-compatible. These notebooks offer the same feature set as Jupyter, with a couple of add-ons, including on-the-fly visualizations powered by big data, Apache Spark integration for debugging and performance monitoring, and MLflow integration for tracking machine learning experiments.
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