DATABRICKS-CERTIFIED-PROFESSIONAL-DATA-SCIENTISTDatabricks Certified Professional Data Scientist Exam
138 Questions and Answers Experienced specialists selected 138 questions for this exam. All answers are verified to ensure correctness.
Last Updated May 14, 2024 Ace your exams with our consistently updated DATABRICKS-CERTIFIED-PROFESSIONAL-DATA-SCIENTIST exam dumps.
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DATABRICKS-CERTIFIED-PROFESSIONAL-DATA-SCIENTIST Online Practice Questions and Answers
You are designing a recommendation engine for a website where the ability to generate more personalized recommendations by analyzing information from the past activity of a specific user, or the history of other users deemed to be of
similar taste to a given user. These resources are used as user profiling and helps the site recommend content on a user-by-user basis. The more a given user makes use of the system, the better the recommendations become, as the
system gains data to improve its model of that user.
What kind of this recommendation engine is ?
A. Naive Bayes classifier
B. Collaborative filtering
C. Logistic Regression
D. Content-based filtering
Google Adwords studies the number of men, and women, clicking the advertisement on search engine during the midnight for an hour each day.
Google find that the number of men that click can be modeled as a random variable with distribution Poisson(X), and likewise the number of women that click as Poisson(Y).
What is likely to be the best model of the total number of advertisement clicks during the midnight for an hour ?
A. Binomial(X+Y,X+Y)
B. Poisson(X/Y)
C. Normal(X+Y(M+Y)1/2) D. Poisson(X+Y)
Regularization is a very important technique in machine learning to prevent overfitting. Mathematically speaking, it adds a regularization term in order to prevent the coefficients to fit so perfectly to overfit. The difference between the L1 and L2 is...
A. L2 is the sum of the square of the weights, while L1 is just the sum of the weights
B. L1 is the sum of the square of the weights, while L2 is just the sum of the weights
C. L1 gives Non-sparse output while L2 gives sparse outputs
D. None of the above
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Databricks DATABRICKS-CERTIFIED-PROFESSIONAL-DATA-SCIENTIST exam official information: Earning the Data Scientist Professional certification has demonstrated the understanding of the basics of machine learning and the steps in the machine learning lifecycle, including data preparation, feature engineering, the training of models, model selection, interpreting models, and the production of models.
