Artificial Intelligence in Business Applications Final Spring-2026 Question Paper — Study Guide & FAQ

What is the Artificial Intelligence in Business Applications Final Spring-2026 question paper?

This page hosts the Artificial Intelligence in Business Applications Final Spring-2026 question paper for DIU BBA students studying Artificial Intelligence in Business Applications (0613-324) during Spring-2026, Batch 65. The PDF comes from our student archive — use it to learn the exam format, time yourself, and spot recurring topics.

What questions appear on this exam?

The transcript below shows real questions from this paper (OCR). Common themes include: a) Describe how Artificial Intelligence (AI) acts as a "smart assistant" in business transformation, specifically highlighting its role in improving "Customer Experience (CX)" with real-world examples like Amazon. b) Explain the difference between Supervised and Unsupervised Learning based on the presence of "labeled data". Provide one business use case for each (e.g., Fraud detection vs. Customer segmentation).; a) Apply the K-Nearest Neighbors (KNN) algorithm to find the distance between two customer data points in a 2D space: Point A (3,; and Point B (7, 8). • Calculate the Euclidean Distance. • Calculate the Manhattan Distance. b) Illustrate the step-by-step process of how a Decision Tree works, starting from the "Root Node" to the "Leaf Nodes". Use a "Loan Approval" scenario (features: Income, Credit Score) as your example..

• a) Describe how Artificial Intelligence (AI) acts as a "smart assistant" in business transformation, specifically highlighting its role in improving "Custome…
• a) Apply the K-Nearest Neighbors (KNN) algorithm to find the distance between two customer data points in a 2D space: Point A (3,
• and Point B (7, 8). • Calculate the Euclidean Distance. • Calculate the Manhattan Distance. b) Illustrate the step-by-step process of how a Decision Tree wor…
• a) Describe a Customer Churn Prediction using the Logistic Regression formula z = B0 + B
• Scenario: A bank uses "Number of Complaints" (X) to predict churn. • • Given: Constant (Bo) = -1.5, Coefficient (B
• = 0.6, and a customer has 4 complaints. Task: Calculate the value of z and apply the Sigmoid function P(y=
• to find the probability of churn (Use e0.9 =2.46). b) Based on your calculation in (a), if the Decision Rule is P>= 0.5, will this customer leave the bank? D…
• a) Solve the following transaction dataset and calculate the Support for the item-set {Bread, Milk}. • T1: Bread, Milk, Butter • T2: Bread, Butter • T3: Milk…

How should DIU BBA students use this past paper?

Attempt the full paper once without notes, then mark questions you could not finish in time. Compare your work with class notes, the course hub, and any answer scripts linked on this page. Repeat weak chapters one week before your real exam.