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Quiz Based on Case Study :What is Data Science? (IBM Data Science Professional Certificate) Answers 2025

1️⃣ Question 1

Why did Lila focus on communication and storytelling skills?

  • ❌ To impress her friends

  • ❌ To improve her public speaking abilities

  • To communicate her findings effectively as a data scientist

  • ❌ To become a writer

Explanation:
Data scientists must explain insights clearly, and storytelling helps bridge the gap between data and decision-making.


2️⃣ Question 2

What is the importance of domain knowledge in data science?

  • ❌ It’s not important at all.

  • It allows you to apply data science skills effectively in a specific field.

  • ❌ It helps you become a software developer.

  • ❌ It helps you become a better e-commerce website developer.

Explanation:
Domain knowledge helps data scientists understand the context, interpret results correctly, and make relevant recommendations.


3️⃣ Question 3

What key skills did Lila acquire during her data science education?

  • ❌ Cooking and gardening

  • ❌ Music and art appreciation

  • Statistics, machine learning, data analysis

  • ❌ History and literature knowledge

Explanation:
These are the core technical skills taught in data science programs.


4️⃣ Question 4

What sources did Lila explore to procure data for her project?

  • ❌ Only repositories and databases

  • ❌ Product professionals, data engineers, and domain specialists

  • Various repositories, websites, and databases

  • ❌ Websites and libraries

Explanation:
She explored multiple data sources including datasets, online platforms, and structured repositories.


5️⃣ Question 5

What does Lila do at the end of her first project to convey insights?

  • ❌ She shares raw data.

  • She creates a comprehensive report or presentation.

  • ❌ She organizes a meeting.

  • ❌ She writes a blog post.

Explanation:
A clear report or presentation helps stakeholders understand insights and recommendations.


🧾 Summary Table

Q Correct Answer Key Concept
1 Communicate findings effectively Storytelling in DS
2 Apply DS to real fields Importance of domain knowledge
3 Stats, ML, Data analysis Core DS skills
4 Repositories, websites, databases Data sourcing
5 Comprehensive report/presentation Communicating insights