Online Access Free Databricks-Certified-Professional-Data-Scientist Exam Questions

Consider the following confusion matrix for a data set with 600 out of 11,100 instances positive:
In this case, Precision = 50%, Recall = 83%, Specificity = 95%, and Accuracy = 95%.
Select the correct statement

• A.problem domain has a major impact on the measures that should be used to evaluate a classifier within it
• B.2 and 3
• C.1 and 3
• D.Precision is low, which means the classifier is predicting positives best
• E.Precision is low, which means the classifier is predicting positives poorly

You are analyzing data in order to build a classifier model. You discover non-linear data and discontinuities that will affect the model. Which analytical method would you recommend?

• A.Logistic Regression
• B.Linear Regression
• C.Decision Trees
• D.ARIMA

A bio-scientist is working on the analysis of the cancer cells. To identify whether the cell is cancerous or not, there has been hundreds of tests are done with small variations to say yes to the problem. Given the test result for a sample of healthy and cancerous cells, which of the following technique you will use to determine whether a cell is healthy?

• A.Collaborative filtering
• B.Linear regression
• C.Naive Bayes
• D.Identification Test

Suppose you have been given a relatively high-dimension set of independent variables and you are asked to come up with a model that predicts one of Two possible outcomes like "YES" or "NO", then which of the following technique best fit.

• A.Support vector machines
• B.Random decision forests
• C.Logistic regression
• D.All of the above
• E.Naive Bayes

Your customer provided you with 2. 000 unlabeled records three groups. What is the correct analytical method to use?

• A.Semi Linear Regression
• B.K-means clustering
• C.Logistic regression
• D.Naive Bayesian classification
• E.Linear regression