Question 1

Future trend in the organization of data-focused teams:

• A consolidation into one generalist ❌

• Increased specialization, with further subdivision of roles ✅

• One all-star with small staff ❌

• Shift away from using data analysis ❌

Explanation:
As data grows more complex, companies expand specialization (ML engineers, data engineers, analysts, etc.).

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Question 2

Appropriate LLM use cases (Select all):

• To bypass security systems ❌

• Provide an outline for a report ✅

• Generate code to visualize data ✅

• Brainstorm ideas for approaching a problem ✅

Explanation:
LLMs must not be used for security evasion, but are excellent for ideation, templates, and assisting with code.

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Question 3

Main activities in data professions (Select all):

• Statistical inference ✅

• Machine learning ✅

• Data analytics ✅

• Software development ❌ (not a core data-profession activity)

Explanation:
These three form the foundation of modern data work.

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Question 4

Appropriate use of AI (Select all):

• LLM retrieving internet data to fill spreadsheet ❌ (privacy + accuracy risk)

• LLM assisting with complex regular expression code ✅

• ML model setting insurance rates automatically ❌ (high-risk, needs human oversight)

• LLM simplifying complex statistical concepts for communication ✅

Explanation:
LLMs are good for coding help and communication—not for automating high-risk decisions or unauthorized data collection.

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Question 5

Tools commonly used by data professionals (Select all):

• Kaggle ✅

• GitHub ✅

• Cedreo ❌

• OctaneRender ❌

Explanation:
Kaggle + GitHub are standard in data work; the others are architecture/3D rendering tools.

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Question 6

Best tool to store/manage millions of fast-query customer records:

• Spreadsheet ❌

• Dashboard ❌

• Programming language ❌

• A database ✅

Explanation:
Databases (SQL/NoSQL) support scalability, indexing, and fast retrieval for high-volume transactions.

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Question 7

Data visualization tools (Select all):

• Seaborn ✅

• Tableau ✅

• Matplotlib ✅

• Oracle ❌ (a database / enterprise software suite, not a viz tool)

Explanation:
Seaborn and Matplotlib are Python libraries; Tableau is a standalone BI tool.

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Question 8

Tool used by the air traffic controller:

• Spreadsheet ❌

• Programming language ❌

• Dashboard ✅

• Database ❌ (backend stores the data, but she directly interacts with a dashboard)

Explanation:
A dashboard provides interactive, real-time data views.

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Question 9

Examples of LLMs (Select all):

• Gemini ✅

• Visual Studio Code ❌

• Microsoft Office ❌

• ChatGPT ✅

Explanation:
Gemini and ChatGPT are LLMs; VS Code and Office are software tools, not AI models.

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Question 10

Best practices for writing LLM prompts (Select all):

• Be precise. ✅

• Include a description of the LLM’s role. ✅

• Don’t provide background information ❌ (background is helpful)

• Make sure there are no spelling errors ❌ (LLMs can handle minor spelling issues)

Explanation:
Good prompts include specificity and context; spelling errors rarely cause failures.

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🧾 Summary Table

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