WGU/C954 - Chapter 06: Business Intelligence – Big Data And Analytics Exam Questions And Answers | Latest Update 2026 | Graded A+

WGU/C954 - Chapter 06: Business Intelligence – Big Data And Analytics Exam Questions And Answers | Latest Update 2026 | Graded A+ Analytics - answer-The systematic computational analysis of data to discover patterns, trends, and insights for decision-making. Association Analysis - answer-A data mining technique used to identify relationships between variables in large datasets, often used in market basket analysis. Big Data - answer-Extremely large and complex datasets that require advanced tools and techniques to store, process, and analyze. Business Intelligence (BI) - answer-Technologies and strategies used to analyze business data and support decision-making, planning, and performance management. Case-Based Reasoning - answer-A problem-solving method that uses past cases and experiences to solve new problems. Central Tendency - answer-Statistical measures (mean, median, mode) that describe the center of a data distribution. Correlation - answer-A statistical measure that describes the degree to which two variables move in relation to each other.Cross-Industry Process for Data Mining (CRISP-DM) - answer-A standard methodology for data mining projects, consisting of six phases: business understanding, data understanding, data preparation, modeling, evaluation, and deployment. Dashboard - answer-A visual interface that displays key performance indicators (KPIs) and metrics to monitor business performance. Data Lake - answer-A centralized repository that stores raw data in its native format until needed for analysis. Data Mart - answer-A subset of a data warehouse focused on a specific business line or team. Data Mining - answer-The process of discovering patterns and relationships in large datasets using statistical and machine learning techniques. Data Visualization - answer-The graphical representation of data to help users understand trends, outliers, and patterns. Data Warehouse - answer-A centralized repository for integrated data from multiple sources, optimized for reporting and analysis. Decision Tree - answer-A predictive model that maps observations about data to conclusions about target values using a tree-like structure. Dependent Variable - answer-The variable being tested and measured in an experiment, affected by changes in the independent variable. Descriptive Analytics - answer-The analysis of historical data to understand what has happened in the business.Descriptive Statistics - answer-Statistical methods that summarize and describe the features of a dataset. Diagnostic Analytics - answer-Analysis that explains why something happened by identifying patterns and relationships in data. Distribution - answer-The way in which data values are spread or dispersed across a range. Extract, Transform, and Load (ETL) Process - answer-A data integration process that extracts data from sources, transforms it into a usable format, and loads it into a data warehouse. Feature - answer-An individual measurable property or characteristic of a phenomenon being observed, used in machine learning models. Genetic Algorithm - answer-An optimization technique inspired by natural selection that evolves solutions to problems over generations. Hadoop - answer-An open-source framework for distributed storage and processing of large datasets using clusters of computers. Hypothesis - answer-A proposed explanation or prediction that can be tested through data analysis. Independent Variable - answer-The variable that is manipulated to observe its effect on the dependent variable. In-Memory Database (IMDB) - answer-A database that stores data in RAM for faster access and processing.Key Performance Indicator (KPI) - answer-A measurable value that indicates how effectively a company is achieving key business objectives. Linear Programming - answer-A mathematical technique used to optimize a linear objective function subject to linear constraints. Machine Learning - answer-A subset of AI that enables systems to learn from data and improve performance without being explicitly programmed. Metric - answer-A quantifiable measure used to track and assess the status of a specific business process. Monte Carlo Simulation - answer-A computational technique that uses random sampling to estimate complex mathematical models and assess risk. Neural Network Computing - answer-A machine learning model inspired by the human brain, used for pattern recognition and predictive analytics. NoSQL Database - answer-A non-relational database designed for large-scale data storage and real-time web applications. Predictive Analytics - answer-The use of statistical models and machine learning to forecast future outcomes based on historical data. Prescriptive Analytics - answer-Analytics that recommend actions based on predictive insights to achieve desired outcomes.