Free Databricks Databricks-Certified-Professional-Data-Scientist Exam Dumps Questions & Answers

You are working on a problem where you have to predict whether the claim is done valid or not. And you find that most of the claims which are having spelling errors as well as corrections in the manually filled claim forms compare to the honest claims. Which of the following technique is suitable to find out whether the claim is valid or not?

• A.Any one of the above
• B.Naive Bayes
• C.Random Decision Forests
• D.Logistic Regression

Digit recognition, is an example of.....

• A.Clustering
• B.None of the above
• C.Classification
• D.Unsupervised learning

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

In statistics, maximum-likelihood estimation (MLE) is a method of estimating the parameters of a statistical model. When applied to a data set and given a statistical model, maximum-likelihood estimation provides estimates for the model's parameters and the normalizing constant usually ignored in MLEs because

• A.The normalizing constant only has a small impact on the maximum likelihood
• B.The normalizing constant is always very close to 1
• C.The normalizing constant is often zero and can cause division by zero
• D.The normalizing constant doesn't impact the maximizing value

Logistic regression is a model used for prediction of the probability of occurrence of an event. It makes use of several variables that may be......

• A.Numerical
• B.Categorical
• C.None of the 1 and 2 are correct
• D.Both 1 and 2 are correct