MC	Given the following five transactions:<br><br>T1 {K, A, D, B}<br>T2 {D, A, C, E, B}<br>T3 {C, A, B, D}<br>T4 {B, A, E}<br>T5 {B, E, D}<br><br>Consider the association rule R: A -> BD.<br><br>Which statement is correct?	The support of R is 60% and the confidence is 75%.	correct	The support of R is 75% and the confidence is 60%.	incorrect	The support of R is 60% and the confidence is 100%.	incorrect	The support of R is 100% and the confidence is 75%.	incorrect	
MC	Outlying observations which represent erroneous data are treated using...	missing value procedures.	correct	truncation or capping.	incorrect	
MC	Featurization in the context of neural networks refers to...	adding more nodes to the network.	incorrect	adding more local features to the data set.	incorrect	making features (=inputs) out of the network characteristics.	correct	selecting the most predictive features.	incorrect	
MC	OLAP (On-Line Analytical Processing) can help in which of the following steps of the analytics process?	Data transformation	incorrect	Data denormalizatio	incorrect	Data collection	incorrect	Data visualization	correct	
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	To guarantee maximum independence and organizational impact of analytics, it is important that...	the Chief Data Officer (CDO) or Chief Analytics Officer (CAO) reports to the CIO or CFO.	incorrect	analytics is supervised only locally in the business units. 	incorrect	the CIO takes care of all analytical responsibilities.	incorrect	a Chief Data Officer or Chief Analytics officer is added to the executive committee who directly reports to the CEO.	correct	
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?	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	Data owners are the data quality experts who are in charge of assessing data quality by performing extensive and regular data quality checks. 	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	
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	Consider a data set with a multiclass target variable as follows: 25% bad payers, 25% poor payers, 25% medium payers and 25% good payers. In this case, the entropy will be:	Minimal	incorrect	Maximal	correct