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Databricks Databricks-Machine-Learning-Professional Exam Syllabus Topics:

Section	Weight	Objectives
ML Ops	44%	- Testing and validation strategies - Environment management with Databricks Asset Bundles - Model monitoring and drift detection with Lakehouse Monitoring - Automated retraining workflows
Model Development	44%	- Distributed training and hyperparameter tuning - Scalable ML pipelines with SparkML - Feature Store and automated feature pipelines - Advanced MLflow usage
Model Deployment	12%	- Custom model serving - Deployment strategies - Model rollout and version management

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Databricks Certified Machine Learning Professional Sample Questions (Q116-Q121):

NEW QUESTION # 116
A data scientist wants to remove the star_rating column from the Delta table at the location path.
To do this, they need to load in data and drop the star_rating column. Which of the following code blocks accomplishes this task?

A. spark.read.table(path).drop("star_rating")
B. spark.read.format("delta").table(path).drop("star_rating")
C. spark.read.format("delta").load(path).drop("star_rating")
D. Delta tables cannot be modified
E. spark.sql("SELECT * EXCEPT star_rating FROM path")

Answer: A

NEW QUESTION # 117
A machine learning engineer is manually refreshing a model in an existing machine learning pipeline. The pipeline uses the MLflow Model Registry model "project". The machine learning engineer would like to add a new version of the model to "project". Which MLflow operation can the machine learning engineer use to accomplish this task?

A. MlflowClient.get_model_version
B. mlflow.register_model
C. The machine learning engineer needs to create an entirely new MLflow Model Registry model
D. MlflowClient.update_registered_model
E. mlflow.add_model_version

Answer: D

NEW QUESTION # 118
What is the purpose of ParamGridBuilder?

A. Tracking metrics
B. Feature storage
C. Creating hyperparameter combinations
D. Model deployment

Answer: C

Explanation:
ParamGridBuilder creates parameter search grids for tuning.

NEW QUESTION # 119
A machine learning engineer has created a webhook with the following code block:

Which of the following code blocks will trigger this webhook to run the associate job?

Answer: E

NEW QUESTION # 120
Which deployment paradigm can centrally compute predictions for a single record with exceedingly fast results?

A. Edge/on-device
B. None of these strategies will accomplish the task.
C. Real-time
D. Batch
E. Streaming

Answer: C

NEW QUESTION # 121
......

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