MC	OLAP (On-Line Analytical Processing) can help in which of the following steps of the analytics process?	Data visualization	correct	Data denormalizatio	incorrect	Data transformation	incorrect	Data collection	incorrect	
MC	Bootstrapping refers to:	Drawing samples with replacement.	correct	Drawing samples without replacement.	incorrect	
MC	The GIGO-principle mainly relates to which aspect of the analytics process?	Data selection	incorrect	Data transformation	incorrect	Data cleaning	incorrect	The GIGO-principle applies to all of these listed aspects	correct	
MC	Clustering, association rules and sequence rules are examples of:	Descriptive analytics	correct	Predictive analytics	incorrect	
MC	Which of the following strategies can be used to deal with missing values?	Keep	incorrect	Delete	incorrect	Replace/impute	incorrect	All of these strategies can be applied	correct	
MC	Which statement is CORRECT?	Outliers should always be replaced or removed.	incorrect	Missing values and outliers should both always be replaced or removed.	incorrect	Missing values should always be replaced or removed.	incorrect	Missing values and outliers can potentially provide useful information and should be analyzed before they are removed/replaced.	correct	
MC	OLAP (On-Line Analytical Processing) can help in which of the following steps of the analytics process?	Data collection	incorrect	Data transformation	incorrect	Data denormalizatio	incorrect	Data visualization	correct	
MC	Which statement is CORRECT?	Data preprocessing activities such as handling missing values, duplicate data or outliers are preventive measures for dealing with data quality issues.	incorrect	Data stewards can request data scientists to check or complete the value of a field.	incorrect	Quality of data is key to the success of any analytical exercise since it has a direct and measurable impact on the quality of the analytical model and hence its economic value.	correct	Data owners are the data quality experts who are in charge of assessing data quality by performing extensive and regular data quality checks. 	incorrect	
MC	Decision trees can be used in the following applications:	Credit risk scoring, churn prediction and customer profile segmentation	incorrect	Credit risk scoring, churn prediction, customer profile segmentation and market basket analysis.	incorrect	Credit risk scoring and churn prediction	correct	Credit risk scoring	incorrect	
MC	Which of the following strategies can be used to deal with missing values?	Keep	incorrect	Delete	incorrect	Replace/impute	incorrect	All of these strategies can be applied	correct