Exam CISA topic 1 question 900 discussion

Classification—Identifying good customer/bad customer and fraud/no fraud Clustering—Identifying groups with similar behavior Association—Determining that everyone who bought item A also bought item B, and 80 percent of them also bought item C Summarization—Describing groups with certain characteristics (e.g., executives with average use of company card totals greater than x dollars) Link analysis—Determining connections (e.g., A called B, and B immediately called C, hence, A may be linked to C) Deviation detection—Identifying transactions significantly different from the average Prediction/estimation—Predicting trends or growth of a new business Visualization—Perhaps this is not data analytics proper, but aids in nonautomated human discovery (e.g., charts or medical imaging) ___ from ISACA WEbsite

Cluster sampling is a statistical method used for selecting a random sample of clusters from a population for the purpose of conducting a survey or study. It is not an analytical method for identifying groups with similar characteristics; rather, it is a sampling technique.

Classification involves categorizing data into predefined classes or groups based on their attributes. It is highly effective in analyzing large datasets to identify and segment groups with similar behaviors or characteristics. While clustering (which is a type of unsupervised learning) is often the preferred method for discovering natural groupings within a dataset, classification (a type of supervised learning) is also a powerful tool when the categories or groups are already known. D is 100% answer here

Sampling that identifies groups with similar behaviors and characteristics in a large population is called clustering.

B. Cluster sampling Cluster sampling is a method of sampling where the population is divided into clusters or groups, and then a random sample of clusters is selected for further analysis. Within each selected cluster, all individuals or a subset of individuals are included in the study. This approach is particularly effective when you want to identify groups with similar behavior or characteristics because it naturally groups individuals who are geographically or demographically close together. This allows for the identification of patterns and similarities within these clusters, making it a valuable method for analyzing large populations and finding groups with common traits or behaviors. The other options, while important in various analytical contexts, may not be as directly suited for identifying groups with similar behavior or characteristics within a large population

clustering analysis is to group similar objects by static classification method

Should be B