[Q45-Q61] Top Databricks Databricks-Certified-Professional-Data-Scientist Courses Online – Updated [Feb-2022]

NO.45 Which of the following are point estimation methods?

NO.46 Select the correct statement regarding the naive Bayes classification

NO.47 A problem statement is given as below
Hospital records show that of patients suffering from a certain disease, 75% die of it. What is the probability that of 6 randomly selected patients, 4 will recover?
Which of the following model will you use to solve it.

NO.48 Suppose you have made a model for the rating system, which rates between 1 to 5 stars. And you calculated that RMSE value is 1.0 then which of the following is correct

NO.49 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.

NO.50 In which lifecycle stage are test and training data sets created?

NO.51 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)?

NO.52 Of all the smokers in a particular district, 40% prefer brand A and 60% prefer brand B.Of those smokers who prefer brand A. 30% are females, and of those who prefer brand B.40% are female. What is the probability that a randomly selected smoker prefers brand A, given that the person selected is a female?
Which of the following is a best way to solve this problem?

NO.53 Which of the below best describe the Principal component analysis

NO.54 You are asked to create a model to predict the total number of monthly subscribers for a specific magazine.
You are provided with 1 year’s worth of subscription and payment data, user demographic data, and 10 years worth of content of the magazine (articles and pictures). Which algorithm is the most appropriate for building a predictive model for subscribers?

NO.55 Select the choice where Regression algorithms are not best fit

NO.56 RMSE is a useful metric for evaluating which types of models?

NO.57 Which is an example of supervised learning?

NO.58 You are doing advanced analytics for the one of the medical application using the regression and you have two variables which are weight and height and they are very important input variables, which cannot be ignored and they are also highly co-related. What is the best solution for that?

NO.59 Which of the following metrics are useful in measuring the accuracy and quality of a recommender system?

NO.60 You are studying the behavior of a population, and you are provided with multidimensional data at the individual level. You have identified four specific individuals who are valuable to your study, and would like to find all users who are most similar to each individual. Which algorithm is the most appropriate for this study?

NO.61 In which phase of the data analytics lifecycle do Data Scientists spend the most time in a project?