Free Coupon Code Certification Databricks Machine Learning Associate Exam 100% OFF

Udemy Free coupon code for Certification Databricks Machine Learning Associate Exam course taught by HadoopExam Learning Resources, which has 94 students and is rated 0.0 out of 0 votes. This course is about in English and was updated on December 15, 2025. You can use this Udemy course with a free certificate and find the coupon at the bottom of this page.

300 Real exam-style mocks with detailed explanations: AutoML, feature store in Unity Catalog, MLflow tracking/registry

“Databricks,” “Databricks Certified Machine Learning Associate,” “Unity Catalog,” and any related marks are trademarks or registered trademarks of Databricks, Inc. “Apache,” “Apache Spark,” and the Apache feather logo are trademarks of The Apache Software Foundation. All other product names, logos, and brands are property of their respective owners.

This course is an independent preparation resource and is not affiliated with, sponsored by, or endorsed by Databricks, Inc.,

Get exam-ready with a focused, hands-on practice test series built for the Databricks Certified Machine Learning Associate credential. These timed mock exams replicate real testing pressure, question style, and domain weightings so you can diagnose gaps fast, reinforce strengths, and walk into the proctored exam with confidence.

Why these practice tests stand out

• Realistic exam simulation: Timed sessions with single/multi-select questions, detailed score reports, and per-domain analytics that mirror the live exam experience (48 items, 90 minutes, online proctored).

• 2025 coverage & terminology: Aligned to current platform capabilities you’re expected to know on exam day: AutoML, Unity Catalog (including feature store concepts and account/workspace scope), MLflow usage & model registry, SparkML/scikit-learn basics, and modern deployment patterns (batch, real-time, streaming).

• Deep explanations, not just answers: Each item includes why the correct option is right, why the distractors are wrong, and quick recall cues you can memorize.

• Domain-weighted question banks: Question distribution follows the published blueprint proportions so your prep time reflects the real exam:

  • Databricks Machine Learning – 38%

  • ML Workflows – 19%

  • Model Development – 31%

  • Model Deployment – 12%

• Exam skills you actually practice: Data exploration, feature engineering (imputation, OHE, outlier handling, log transforms), ML foundations (estimators vs transformers, pipelines), hyperparameter tuning (grid/random/Bayesian, Hyperopt), evaluation metrics (F1, ROC/AUC, RMSE, MAE, R²), model comparison and selection, MLOps best practices, and model serving patterns.

What you’ll master inside

• Databricks Machine Learning essentials: When to lean on AutoML for model/feature selection, how to interpret MLflow runs, tags, artifacts, and registered models; promoting challenger→champion with aliases; deciding when to promote code vs models.

• Unity Catalog & feature store fundamentals: Benefits of account-level governance, creating and writing feature tables, using features for training/scoring, and understanding online vs offline access patterns.

• Data processing for ML: Summary stats, robust imputation (mean/median/mode), categorical encodings, outlier treatment (σ/IQR), visual checks, and pairwise comparisons for continuous/categorical features.

• Model development under constraints: Train/validation split vs cross-validation, bias–variance trade-offs, class imbalance strategies (including cost-sensitive learning), and computing how many models are trained in a CV grid search.

• Deployment choices that matter: When to use batch inference (pandas/Spark), how real-time endpoints fit into your architecture, and how streaming inference integrates with pipelines.

How to use these tests effectively

1. Run a diagnostic to benchmark your current score by domain.

2. Review explanations immediately—capture weak topics in a notes doc.

3. Retake in exam conditions (single sitting, strict timing) until you gain a 10–15% margin above your target score.

4. Drill the misses: Filter to incorrectly answered questions and re-attempt.

5. Finalize your readiness plan: one full practice the day before, a short warm-up the morning of the exam.

Who this is for

• Data/ML engineers, data scientists, and analytics developers with ~6 months of hands-on experience who want a confidence-boosting, exam-style rehearsal.

• Practitioners familiar with Python, scikit-learn, SparkML, and the Databricks ML toolchain, looking to validate and sharpen exam-specific knowledge.

Key exam facts (for your planning)

• Items: 48 multiple-choice/multiple-select

• Time: 90 minutes

• Delivery: Online proctored

• Fee: $200

• Languages: English, 日本語, Português BR, 한국어

• Prerequisites: None

• Validity: 2 years; recertification requires retaking the current exam version

• Test aides: Not allowed

What you get

• Multiple full-length practice tests with domain-weighted questions

• Unlimited attempts and lifetime access

• Detailed rationales and quick reference notes after each question

• Score trends to track improvement and identify your last-mile focus

Outcome

By the end of these practice tests you will:

• Recognize the exact phrasing and traps commonly used in questions.

• Make faster, more accurate choices under time pressure.

• Demonstrate practical fluency with AutoML, Unity Catalog (feature store), MLflow, feature engineering, model tuning, and deployment modes so you can clear the Databricks Certified Machine Learning Associate exam with confidence.

Enroll now to stress-test your readiness, close knowledge gaps, and step into the exam fully prepared.