Decide Fast & Get 50% Flat Discount on This Special Offer | Limited Time Offer - Ends In COUPON CODE: SAVE50

Databricks-Machine-Learning-Professional Exam Dumps

Databricks-Machine-Learning-Professional Exam Dumps

Databricks Certified Machine Learning Professional

Vendor: Databricks

Exam Name: Databricks Certified Machine Learning Professional

Questions with Answers: 60

Last Updated: 16-May-2024

PDF Exam Dumps

$29.50 $59

Download Demo
WEB Practice Test

$39.50 $79

Try Demo
PDF + Practice Test
$49.50 $99
money back guarantee logo

100% MoneyBack Guarantee

security and privacy logo

Security and Privacy

customer support logo

24/7 Customer Service

Free 3 Months Updates

CertsAway offers you 3 months updates on each exam purchase. Once you will buy any of our exam products you will be subscribed to free 3 months updates

24/7 Customer Support

We offer you 24/7 free customer support to make your learning smooth and hassle free. If you have any query regarding the material so feel to write us.

100% Money Back Guarantee

Your money is safe with CertsAway. We provide 100% money back guarantee to our respective customers. CertsAway makes your venture safe with its 100% refund policy.

Try Free Demo

We insist you to try our free demo before exam purchase. This demo will make you acquainted with the real exam product. 100% passing guarantee with CertsAway.com

Databricks Databricks-Machine-Learning-Professional Exam Questions

Databricks Certified Machine Learning Professional exams.

Question
Which of the following describes concept drift?
Choose the Choices:


Question
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?
Choose the Choices:


Question
A data scientist is using MLflow to track their machine learning experiment. As a part of each MLflow run, they are performing hyperparameter tuning. The data scientist would like to have one parent run for the tuning process with a child run for each unique combination of hyperparameter values. They are using the following code block: The code block is not nesting the runs in MLflow as they expected. Which of the following changes does the data scientist need to make to the above code block so that it successfully nests the child runs under the parent run in MLflow?
Choose the Choices:


Question
A machine learning engineer wants to log feature importance data from a CSV file at path importance_path with an MLflow run for model model. Which of the following code blocks will accomplish this task inside of an existing MLflow run block? A. B. Page 5 C. mlflow.log_data(importance_path, "feature - importance.csv") D. mlflow.log_artifact(importance_path, "feature - importance.csv") E. None of these code blocks tan accomplish the task.
Choose the Choices:


Question
Which of the following is a simple, low - cost method of monitoring numeric feature drift?
Choose the Choices:


Our Achievement

pencile in hand white icon
3000+ VALID EXAMS
student white icon
78,000 Satisfied Customers
comment emoji white icon
96% SUCCESS RATE
open book white icon
99% UPDATED EXAM DUMPS

What Our Clients Say