Question 1 (1 point) In which of the following data-mining steps is the data manipulated to make it suitable for formal modeling? 0 Data Sampling 0 Data Understanding 0 Data Preparation 0 Model Construction Question 2 (1 point) The CRISP-UM process is often 0 linear in function. 0 direct and simple. 0 indirect and complex. 0 circular with a need to revisit steps. Question 3 (1 point) In the Target example, why was Target hesitant to use the pregnancy prediction model? 0 It was illegal. Q It was inaccurate and could confuse customers. 0 It was very accurate and could spook customers. 0 It was too costly. Question 4 (1 point) When suggesting new friends. which of the following data mining applications is Facebook and Linkedln using? 0 Link prediction 0 Profiling O Clustering 0 Classification Question 5 (1 point) Data mining techniques which predict or classify an outcome of interest are examples of 0 Data sampling. 0 Unsupervised learning. 0 Supervised learning. 0 Dimension reduction. Question 6 (1 point) The Marketing Department at Target wanted to estimate the number of days until the baby would be born. This is an example of 0 value estimation. 0 link prediction. 0 profiling. O classification. Question 7 (1 point) The purpose of "data understanding'I is to O memorize all of the data sources in the company. 0 create more data from new sources. 0 acquire, analyze and evaluate the quality of the data. 0 study and catalogue all of the data. Question 8 (1 point) "People who viewed XXX also viewed YYYY" is a common prompt used on Amazon to get you to look at other products. From a data mining perspective, this is an example of O Co-occurrence grouping O Similarity matching 0 Link prediction 0 All of the above Question 9 (1 point) In a data mining project, we begin by O organizing the data into a flat file. 0 selecting appropriate data analysis tools. 0 collecting as much data as possible. 0 understanding the business objectives. Question 10 (1 point) Data analytics is O a tool used only by very large corporations 0 a process for finding useful information in data. 0 a method for storing and manipulating large databases. 0 a mathematical technique used for data analysis