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

Topic	Details
Topic 1	Identify which code block will trigger a shown webhook Describe the basic purpose and user interactions with Model Registry
Topic 2	Describe the advantages of using the pyfunc MLflow flavor Manually log parameters, models, and evaluation metrics using MLflow
Topic 3	Identify the requirements for tracking nested runs Describe an MLflow flavor and the benefits of using MLflow flavors
Topic 4	Identify JIT feature values as a need for real-time deployment Describe how to list all webhooks and how to delete a webhook
Topic 5	Identify live serving benefits of querying precomputed batch predictions Describe Structured Streaming as a common processing tool for ETL pipelines
Topic 6	Create, overwrite, merge, and read Feature Store tables in machine learning workflows View Delta table history and load a previous version of a Delta table
Topic 7	Identify less performant data storage as a solution for other use cases Describe why complex business logic must be handled in streaming deployments
Topic 8	Identify a use case for HTTP webhooks and where the Webhook URL needs to come Identify advantages of using Job clusters over all-purpose clusters
Topic 9	Describe model serving deploys and endpoint for every stage Identify scenarios in which feature drift and or label drift are likely to occur
Topic 10	Identify that data can arrive out-of-order with structured streaming Identify how model serving uses one all-purpose cluster for a model deployment
Topic 11	Test whether the updated model performs better on the more recent data Identify when retraining and deploying an updated model is a probable solution to drift

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Databricks Certified Machine Learning Professional Sample Questions (Q192-Q197):

NEW QUESTION # 192
Which of the following statements about built-in library-specific MLflow Model flavors is true?

A. Built-in library-specific flavors can only be used for logging models
B. Built-in library-specific flavors are required for model signature use
C. Built-in library-specific flavors allow models to be exported as library objects
D. Built-in library-specific flavors allow models to be used with any library/span>

Answer: C

Explanation:
Built-in library-specific MLflow model flavors (e.g., mlflow.sklearn, mlflow.xgboost) allow models to be exported and later loaded as native library objects, enabling seamless reuse with the original libraries for inference or further training.

NEW QUESTION # 193
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.sql("SELECT * EXCEPT star_rating FROM path")
B. spark.read.table(path).drop("star_rating")
C. Delta tables cannot be modified
D. spark.read.format("delta").table(path).drop("star_rating")
E. spark.read.format("delta").load(path).drop("star_rating")

Answer: B

NEW QUESTION # 194
Which of the following tools can assist in real-time deployments by packaging software with its own application, tools, and libraries?

A. Containers
B. Cloud-based compute
C. Autoscaling clusters
D. None of these tools
E. REST APIs

Answer: B

NEW QUESTION # 195
A data scientist has computed updated feature values for all primary key values stored in the Feature Store table features. In addition, feature values for some new primary key values have also been computed. The updated feature values are stored in the DataFrame features_df. They want to replace all data in features with the newly computed data. Which of the following code blocks can they use to perform this task using the Feature Store Client fs?

Answer: E

NEW QUESTION # 196
A machine learning engineer wants to programmatically create a new Databricks Job whose schedule depends on the result of some automated tests in a machine learning pipeline. Which Databricks tool can be used to programmatically create the Job?

A. Databricks REST APIs
B. AutoML APIs
C. MLflow Client
D. MLflow APIs
E. Jobs cannot be created programmatically

Answer: A

NEW QUESTION # 197
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