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Databricks Databricks-Certified-Professional-Data-Scientist Dumps PDF
Databricks Certified Professional Data Scientist Exam- 138 Questions & Answers
- Update Date : July 11, 2024
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Sample Questions
Question 1
Projecting a multi-dimensional dataset onto which vector has the greatest variance?
A. first principal componentB. first eigenvector
C. not enough information given to answer
D. second eigenvector
E. second principal component
Question 2
You are creating a Classification process where input is the income, education and current debt of a customer, what could be the possible output of this process.
A. Probability of the customer default on loan repaymentB. Percentage of the customer loan repayment capability
C. Percentage of the customer should be given loan or not
D. The output might be a risk class, such as "good", "acceptable", "average", or "unacceptable".
Question 3
Suppose you have been given two Random Variables X and Y, whose joint distribution is already known, the marginal distribution of X is simply the probability distribution of X averaging over information about Y. It is the probability distribution of X when the value of Y is not known. So how do you calculate the marginal distribution of X
A. This is typically calculated by summing the joint probability distribution over Y.B. This is typically calculated by integrating the joint probability distribution over Y
C. This is typically calculated by summing (In case of discrete variable) the joint probability distribution over Y
D. This is typically calculated by integrating(ln case of continuous variable) the joint probability distribution over Y.
Question 4
What are the advantages of the mutual information over the Pearson correlation for text classification problems?
A. The mutual information has a meaningful test for statistical significance.B. The mutual information can signal non-linear relationships between the dependent and independent variables.
C. The mutual information is easier to parallelize.
D. The mutual information doesn't assume that the variables are normally distributed.
Question 5
In which of the scenario you can use the linear regression model?
A. Predicting Home Price based on the location and house areaB. Predicting demand of the goods and services based on the weather
C. Predicting tumor size reduction based on input as number of radiation treatment
D. Predicting sales of the text book based on the number of students in state