Email Us [email protected]
LOG IN SIGN UP 0

Free Databricks Certified-Machine-Learning-Professional Exam Questions

Try our Free Demo Practice Tests for Comprehensive Certified-Machine-Learning-Professional Exam Preparation

  • Databricks Certified-Machine-Learning-Professional Exam Questions
  • Provided By: Databricks
  • Exam: Certified Machine Learning Professional
  • Certification: Databricks Certified Associate
  • Total Questions: 60
  • Updated On: Mar 26, 2025
  • Rated: 4.9 |
  • Online Users: 120
Page No. 1 of 12
   
Add To Cart
  • Question 1
    • A data scientist has developed a model model and computed the RMSE of the model on the test set. They have assigned this value to the variable rmse. They now want to manually store the RMSE value with the MLflow run.

      They write the following incomplete code block:


      Which of the following lines of code can be used to fill in the blank so the code block can successfully complete the task?


      Answer: A
  • Question 2
    • 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?


      Answer: E
  • Question 3
    • 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?


      Answer: E
  • Question 4
    • A machine learning engineer is in the process of implementing a concept drift monitoring solution. They are planning to use the following steps:

      1. Deploy a model to production and compute predicted values

      2. Obtain the observed (actual) label values

      3. _____

      4. Run a statistical test to determine if there are changes over time

      Which of the following should be completed as Step #3?


      Answer: D
  • Question 5
    • Which of the following statements describes streaming with Spark as a model deployment strategy?

      Answer: E
PAGE: 1 - 12
   
Add To Cart

© Copyrights Dumpscity 2025. All Rights Reserved

We use cookies to ensure your best experience. So we hope you are happy to receive all cookies on the Dumpscity.