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Databricks Certified Professional Data Scientist Exam

Last Update Apr 11, 2024
Total Questions : 138

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Databricks Certified Professional Data Scientist Exam Questions and Answers

Questions 1

Select the correct option from the below



If you're trying to predict or forecast a target value^ then you need to look into supervised learning.


If you've chosen supervised learning, with discrete target value like Yes/No. 1/2/3, A/B/C: or Red/Yellow/Black, then look into classification.


If the target value can take on a number of values, say any value from 0.00 to 100.00, or -999 to 999: or +_to -_, then you need to look unsupervised learning


If you're not trying to predict a target value, then you need to look into unsupervised learning


Are you trying to fit your data into some discrete groups? If so and that's all you need, you should look into clustering.

Questions 2

What is the best way to evaluate the quality of the model found by an unsupervised algorithm like k-means clustering, given metrics for the cost of the clustering (how well it fits the data) and its stability (how similar the clusters are across multiple runs over the same data)?



The lowest cost clustering subject to a stability constraint


The lowest cost clustering


The most stable clustering subject to a minimal cost constraint


The most stable clustering

Questions 3

Which of the following are advantages of the Support Vector machines?



Effective in high dimensional spaces.


it is memory efficient


possible to specify custom kernels


Effective in cases where number of dimensions is greater than the number of samples


Number of features is much greater than the number of samples, the method still give good performances


SVMs directly provide probability estimates

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