1️⃣ Question 1

You are a new data scientist. You have been tasked with reducing traffic congestion and improving transportation efficiency. How would you go about it?

• ✅ Gather and analyze streetcar operations data and identify congested routes

• ❌ Suggest implementation of strict speed limits and traffic fines

• ❌ Suggest creating more parking lots and garages in the city

• ❌ Suggest implementation of surge charges for ride-sharing services

Explanation:
A data scientist’s job is to analyze data to understand the root cause of congestion. Collecting and studying operations data helps identify bottlenecks and propose data-driven solutions.

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2️⃣ Question 2

Taxi ride with fixed base fare + variable cost based on distance/time in traffic. Which concept does this resemble?

• ✅ Regression analysis

• ❌ Data visualization with R

• ❌ Nearest neighbor algorithm

• ❌ Unstructured data extraction

Explanation:
This scenario describes a continuous output (fare) predicted by multiple variables (distance, time). That is exactly what regression analysis models.

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3️⃣ Question 3

Pick the file format that is:
a) self-descriptive
b) human & machine readable
c) great for Internet-based data sharing.

• ❌ Microsoft Excel Open XML Spreadsheet (XLSX)

• ❌ Extensible Markup Language (XML)

• ✅ JavaScript Object Notation (JSON)

• ❌ Delimited text file formats (CSV/TSV)

Explanation:
JSON is lightweight, self-descriptive, human-readable, machine-readable, and widely used in APIs — perfect for web data interchange.

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🧾 Summary Table