NO.40 What tasks need to be completed when designing an analytic sandbox?

NO.41 Consider the example of an analysis for fraud detection on credit card usage. You will need to ensure higher-risk transactions that may indicate fraudulent credit card activity are retained in your data for analysis, and not dropped as outliers during pre-processing.
What will be your approach for loading data into the analytical sandbox for this analysis?

NO.42 Refer to the exhibit

Consider the training data set shown in the exhibit.
What are the classification (Y = 0 or 1) and the probability of the classification for the tupleX(0, 0, 1) using Naive Bayesian classifier?

NO.43 Which of the following is an example of quasi-structured data?

NO.44 After which phase of the data analytics lifecycleshould you determine the best way to integrate solutions with production systems?

NO.45 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.46 Which word or phrase completes the statement? Business Intelligence is to ad-hoc reporting and dashboards as Data Science is to __________.

NO.47 When is a Wilcoxon Rank-Sum test used?

NO.48 A data scientist wants to add a new categorical variable, X2, into a Linear Regression model Y=b0+b1*X1.
How many terms should be added to the right-hand side of the equation if X2 has four possible values?

NO.49 Which graphical representation shows the distribution and multiple summary statistics of a continuous variable for each value of a corresponding discrete variable?

NO.50 What describes the use of UNION clause in a SQL statement?

NO.51 In text analysis, what makes the corpus representation dynamic?

NO.52 What are categorized as data ingestion tools for Hadoop?

NO.53 When is a Naïve Bayesian Classifier model for classification preferred versus a Logistic Regression model?

NO.54 You have been assigned to run a Logistic Regression model for 100 countries each. All data is currently stored in a PostgreSQL database.
Which tool/library should be used to produce these models with the least effort?

NO.55 You have scored your Naïve Bayesian Classifier model on “hold out” test data for cross validation. You have determined the way the samples scored and have tabulated them as shown in the exhibit.

What are the Precision and Recall rates of the model?

NO.56 Imagine you are trying to hire a Data Scientist for your team. In addition to technical ability and quantitative background, which additional essential trait would you look for in people applying for this position?