Databricks-Machine-Learning-Professional practice materials Questions Answers

Exam Code:
Databricks-Machine-Learning-Professional
Exam Name:
Databricks Certified Machine Learning Professional Exam
Last Update:
Jun 01,2026

60 Questions Answers Verified by Experts!


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Page: 1 / 12
Total Questions: 60

Questions & Answers PDF

• Question 1

  

  Which of the following machine learning model deployment paradigms is the most common for machine learning projects?

  • On-device
  • Streaming
  • Real-time
  • Batch
  • None of these deployments

  Reveal Answer Answer: B Next Question

• Question 2

  

  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 of the following Databricks tools can be used to programmatically create the Job?

  • MLflow APIs
  • AutoML APIs
  • MLflow Client
  • Jobs cannot be created programmatically
  • Databricks REST APIs

  Reveal Answer Answer: E Next Question

• Question 3

  

  A machine learning engineer is monitoring categorical input variables for a production machine learning application. The engineer believes that missing values are becoming more prevalent in more recent data for a particular value in one of the categorical input variables.Which of the following tools can the machine learning engineer use to assess their theory?

  • Kolmogorov-Smirnov (KS) test
  • One-way Chi-squared Test
  • Two-way Chi-squared Test
  • Jenson-Shannon distance
  • None of these

  Reveal Answer Answer: B Next Question

• Question 4

  

  Which of the following describes label drift?

  • Label drift is when there is a change in the distribution of the predicted target given by the model
  • None of these describe label drift
  • Label drift is when there is a change in the distribution of an input variable
  • Label drift is when there is a change in the relationship between input variables and target variables
  • Label drift is when there is a change in the distribution of a target variable

  Reveal Answer Answer: C Next Question

• Question 5

  

  After a data scientist noticed that a column was missing from a production feature set stored as a Delta table, the machine learning engineering team has been tasked with determining when the column was dropped from the feature set.Which of the following SQL commands can be used to accomplish this task?

  • VERSION
  • DESCRIBE
  • HISTORY
  • DESCRIBE HISTORY
  • TIMESTAMP

  Reveal Answer Answer: D Next Question

• Question 6

  

  A machine learning engineer has deployed a model recommender using MLflow Model Serving. They now want to query the version of that model that is in the Production stage of the MLflow Model Registry.Which of the following model URIs can be used to query the described model version?

  • https:///model-serving/recommender/Production/invocations
  • The version number of the model version in Production is necessary to complete this task.
  • https:///model/recommender/stage-production/invocations
  • https:///model-serving/recommender/stage-production/invocations
  • https:///model/recommender/Production/invocations

  Reveal Answer Answer: B Next Question

• Question 7

  

  A machine learning engineer wants to log and deploy a model as an MLflow pyfunc model. They have custom preprocessing that needs to be completed on feature variables prior to fitting the model or computing predictions using that model. They decide to wrap this preprocessing in a custom model class ModelWithPreprocess, where the preprocessing is performed when calling fit and when calling predict. They then log the fitted model of the ModelWithPreprocess class as a pyfunc model. Which of the following is a benefit of this approach when loading the logged pyfunc model for downstream deployment?

  • The pvfunc model can be used to deploy models in a parallelizable fashion
  • The same preprocessing logic will automatically be applied when calling fit
  • The same preprocessing logic will automatically be applied when calling predict
  • This approach has no impact when loading the logged Pvfunc model for downstream deployment
  • There is no longer a need for pipeline-like machine learning objects

  Reveal Answer Answer: E Next Question

• Question 8

  

  A machine learning engineer has registered a sklearn model in the MLflow Model Registry using the sklearn model flavor with UI model_uri.Which of the following operations can be used to load the model as an sklearn object for batch deployment?

  • mlflow.spark.load_model(model_uri)
  • mlflow.pyfunc.read_model(model_uri)
  • mlflow.sklearn.read_model(model_uri)
  • mlflow.pyfunc.load_model(model_uri)
  • mlflow.sklearn.load_model(model_uri)

  Reveal Answer Answer: D Next Question

• Question 9

  

  Which of the following is a benefit of logging a model signature with an MLflow model?

  • The model will have a unique identifier in the MLflow experiment
  • The schema of input data can be validated when serving models
  • The model can be deployed using real-time serving tools
  • The model will be secured by the user that developed it
  • The schema of input data will be converted to match the signature

  Reveal Answer Answer: E Next Question

• Question 10

  

  A machine learning engineer and data scientist are working together to convert a batch deployment to an always-on streaming deployment. The machine learning engineer has expressed that rigorous data tests must be put in place as a part of their conversion to account for potential changes in data formats.Which of the following describes why these types of data type tests and checks are particularly important for streaming deployments?

  • Because the streaming deployment is always on, all types of data must be handled without producing an error
  • All of these statements
  • Because the streaming deployment is always on, there is no practitioner to debug poor model performance
  • Because the streaming deployment is always on, there is a need to confirm that the deployment can autoscale
  • None of these statements

  Reveal Answer Answer: D Next Question

Page: 1 / 12
Total Questions: 60

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