BCOR 2205 | Midterm Exam (100 Questions & Answers) | Data Analytics, Machine Learning & AI Fundamentals | University of Colorado Boulder

This document contains the complete and verified set of 100 multiple-choice questions and answers for the BCOR 2205 – Introduction to Data and Decision Analytics midterm exam, taught at the University of Colorado Boulder for the 2025/2026 academic year. It is designed to support students preparing for the midterm by covering foundational and advanced data analytics concepts in a structured, exam-relevant format. Topics addressed include: Types of Data: Alphanumeric, text, image, audio, structured vs. unstructured Big Data & The 3 V’s: Volume, velocity, variety, and applications in business and healthcare Data Processing: Internal vs. external data, databases (flat files, relational), DBMS, primary/foreign keys Artificial Intelligence (AI): General vs. narrow AI, AI milestones, Wozniak’s coffee test, Turing test Machine Learning (ML): Supervised and unsupervised learning, key algorithms (logistic regression, SVMs, neural networks), autoML, and model lifecycle Business Analytics Concepts: Defining business problems, project objectives, SME, prediction targets, success criteria Data Quality: Dirty data (duplicates, missing, incorrect), feature engineering, target leakage Model Evaluation: Training, validation, holdout sets, overfitting, cross-validation, and k-fold strategy Cloud Computing & Data Storage: Use of cloud environments and entity-relationship modeling This resource is ideal for: Undergraduate students enrolled in BCOR 2205 Business majors with a focus on analytics, technology, or decision-making Students in data-driven disciplines looking for a solid foundation in AI, ML, and data management Learners preparing for analytics certifications or job roles involving basic data science and business analysis Every question includes the correct answer, ensuring this guide can be used for active recall, mock test preparation, or as a companion to lectures and textbook readings. Keywords: BCOR 2205, data analytics, midterm exam, machine learning, supervised learning, artificial intelligence, big data, AI vs ML, data types, cloud computing, structured data, relational databases, DBMS, training data, validation set, k-fold cross validation, dirty data, AutoML, prediction models, University of Colorado Boulder