1️⃣ Question 1

What concept refers to massive-scale, fast-generated, diverse data that challenges traditional relational DB analysis?

• ❌ Deep learning

• ❌ Machine learning

• ✅ Big data

• ❌ Data mining

Explanation:
Big data is defined by the 5 Vs (Volume, Velocity, Variety, Veracity, Value) and requires modern tools beyond relational databases.

---

2️⃣ Question 2

How does Generative AI help data scientists, researchers, and analysts?

• ❌ Automating data collection and preprocessing

• ❌ Simplifying basic data visualization tasks

• ✅ Enabling the derivation and evaluation of hypotheses from diverse data sources

• ❌ Replacing the role of data scientists

Explanation:
Generative AI helps in pattern discovery, hypothesis exploration, and simulation of possibilities, not replacing humans.

---

3️⃣ Question 3

Which model is the foundational approach for creating new data resembling original datasets?

• ❌ Neural Networks (generic)

• ❌ Decision Trees

• ✅ Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs)

• ❌ Linear Regression

Explanation:
GANs and VAEs are designed specifically for generating synthetic data that matches real data patterns.

---

4️⃣ Question 4

Which technology learns patterns autonomously and can distinguish objects or generate human-like sounds?

• ❌ Traditional Neural Networks

• ❌ Basic Pattern Recognition

• ✅ Deep Learning

• ❌ Linear Algebra Transformations

Explanation:
Deep learning models can learn features on their own, powering image recognition, speech generation, and more.

---

5️⃣ Question 5

In fintech, which ML application works like Netflix’s recommendation system?

• ❌ Recommendations

• ✅ Predictive Analytics

• ❌ Cluster Analysis

• ❌ Precision and Recall

Explanation:
Fintech apps use predictive analytics to anticipate user needs (loans, offers, spending insights) similar to how Netflix predicts what you want to watch.

---

🧾 Summary Table