Databricks MLAE ML Engineer

Databricks MLAE ML Engineer



¥1,310

3.0.0
Davy Raitt
Developer
2026年04月17日
Update Date
Education
Category
Age Rating
4+
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9+
Apps in this category may contain mild or occasional cartoon, fantasy or real-life violence, as well as occasional or mild adult, sexually suggestive or horrifying content and may not be suitable for children under 9 years of age.
12+
Apps in this category may contain occasional mild indecent language, frequent or intense cartoon or real-life violence, minor or occasional adult or sexually suggestive material, and simulated gambling, and may be for children under 12 years of age.
17+
You must be at least 17 years old to access this App.
Apps in this category may contain frequent and intense offensive language; Frequent and intense cartoon, fantasy or realistic violence: frequent and intense adult, scary and sexually suggestive subjects: as well as sexual content, nudity, tobacco, alcohol and drugs, may not be suitable for children under 17 years of age.

About Databricks MLAE ML Engineer

PASS YOUR DATABRICKS MACHINE LEARNING ENGINEER ASSOCIATE EXAM
Master production ML systems with 500+ practice questions covering MLflow, AutoML, and enterprise deployment.
500+ practice questions
5-minute study sessions
Track your progress
Remove mastered questions
Text-to-speech support
Dark mode available

WHY GET CERTIFIED?
Machine Learning Engineers earn up to $203K annually (Skillsoft 2024). Databricks certification validates your ability to build, deploy, and maintain production ML systems at enterprise scale.

WHAT YOU'LL MASTER:
• MLflow Tracking API with experiments, runs, parameters, and metrics logging
• MLflow Model Registry for staging, production, and archiving workflows
• Model signatures with input/output schemas and inference examples
• Databricks AutoML for automated model training and code generation
• Feature Store with online and offline feature serving capabilities
• Unity Catalog governance for models, features, and data lineage
• Spark MLlib pipelines with transformers, estimators, and evaluators
• Hyperparameter tuning using grid search, random search, and Bayesian optimization
• Cross-validation strategies including k-fold and stratified sampling
• Model deployment patterns for real-time and batch predictions
• Serving endpoints with autoscaling and A/B testing configurations
• Batch inference on streaming and static data sources
• Feature engineering transformations including encoding and scaling
• Databricks Runtime ML with pre-installed libraries and GPU support
• MLOps workflows integrating CI/CD, monitoring, and retraining pipelines

STUDY ANYWHERE:
Coffee breaks. Commutes. Lunch hours. Turn dead time into machine learning engineering expertise.
Download now. Pass your exam. Master production ML.
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最新バージョン 3.0.0 の更新情報

Last updated on 2026年04月17日
旧バージョン
New: Review missed questions after each quiz. Improved quiz experience with radio buttons for single-answer questions. Added exit button during quizzes. Better score display. Stability improvements.
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Version History
3.0.0
2026年04月17日
New: Review missed questions after each quiz. Improved quiz experience with radio buttons for single-answer questions. Added exit button during quizzes. Better score display. Stability improvements.

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