Databricks-Certified-Professional-Data-Scientist 試験問題を無料オンラインアクセス

What is one modeling or descriptive statistical function in MADlib that is typically not provided in a standard relational database?

• A.Expected value
• B.Variance
• C.Linear regression
• D.Quantiles

Feature Hashing approach is "SGD-based classifiers avoid the need to predetermine vector size by simply picking a reasonable size and shoehorning the training data into vectors of that size" now with large vectors or with multiple locations per feature in Feature hashing?

• A.Is a problem with accuracy as well as hard to understand what classifier us doing
• B.It is hard to understand what classifier is doing
• C.Is a problem with accuracy
• D.It is easy to understand what classifier is doing

Which of the following statement is true for the R square value in the regression model?

• A.When R square =0, all the residual are equal to 1
• B.When R square =1 , all the residuals are equal to 0
• C.R-squared never decreases upon adding more independent variables.
• D.R square can be increased by adding more variables to the model.

Which of the following steps you will be using in the discovery phase?

• A.What is the network capacity required
• B.What all are the data sources for the project?
• C.What all tools are required, in the project?
• D.What Unix server capacity required?
• E.Analyze the Raw data and its format and structure.

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.Percentage of the customer loan repayment capability
• B.Percentage of the customer should be given loan or not
• C.The output might be a risk class, such as "good", "acceptable", "average", or "unacceptable".
• D.Probability of the customer default on loan repayment