What You’ll Learn
  • Test your skills in managing the full ML lifecycle by tracking experiments and deployments with MLflow in a Databricks environment.
  • Tackle practice scenarios using Databricks AutoML for real-world ML problems
  • including both regression and classification tasks.
  • Evaluate your ability to register models and deploy them to production using integrated MLflow and Databricks workflows.
  • Challenge yourself with practice questions covering Databricks Lakehouse data management
  • Spark and Delta Lake APIs
  • as well as security best practices.

Requirements

  • 1+ years of hands-on experience performing the machine learning tasks

Description

This exam preparation course is meticulously designed to equip you with authentic, up-to-date questions that mirror the Databricks Machine Learning Professional certification exam. Updated for the 2025 edition, our practice tests provide you with a realistic exam experience to build confidence and mastery over essential machine learning concepts on the Databricks platform.

Prepare for Success

  • Real Exam Simulation: Tackle two comprehensive practice tests, each featuring 60 carefully crafted questions that reflect the current exam format.400+ Questions in Total.

  • Bonus Challenge: Enhance your preparation with a bonus practice test comprising 40 additional questions.

  • Realistic Timing: Each main test is set at 120 minutes, while the bonus test is timed at 150 minutes, mimicking the actual exam environment.

Topics Covered

  • Core Machine Learning Concepts: Understand the fundamentals of supervised and unsupervised learning, model evaluation, and statistical reasoning.

  • Data Preprocessing & Feature Engineering: Learn techniques for data cleaning, transformation, and building robust feature sets.

  • Model Training and Optimization: Explore best practices for training models, tuning hyperparameters, and improving model performance.

  • MLflow and Experiment Tracking: Gain insights into using MLflow for tracking experiments and managing the end-to-end machine learning lifecycle.

  • Deployment & Monitoring: Discover strategies for deploying machine learning models in production, ensuring scalability, and setting up performance monitoring.

Who Should Enroll

  • Aspiring Machine Learning Professionals and Data Scientists

  • Experienced Machine Learning Engineers seeking certification validation

  • Data Engineers looking to expand into machine learning practices

  • Anyone aiming to master Databricks’ machine learning tools and prepare effectively for the certification exam

Disclaimer:
This course is an unofficial practice exam and is not affiliated with or endorsed by Databricks. All exam questions and materials are simulated based on the latest exam formats and are intended solely for practice and preparation. For the most accurate and up-to-date information, please refer to the official Databricks certification guide.

Who this course is for:

  • Aspiring Machine Learning Professionals and Data Scientists
  • Experienced Machine Learning Engineers seeking certification validation
  • Data Engineers looking to expand into machine learning practices
  • Anyone aiming to master Databricks’ machine learning tools and prepare effectively for the certification exam
Courses

Course Includes:

  • Price: FREE
  • Enrolled: 31 students
  • Language: English
  • Certificate: Yes

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