1. Question 1

Which statement describes Data Analyst Specialist Roles?

• ❌ Analysts who specialize in data lakes and data repositories

• ❌ Analysts who can work with Machine and Deep Learning models

• ❌ Analysts who specialize in specific fields like HR, Sales, Finance

• ✅ Analysts who advance technical, statistical, and analytical skills to expert levels

Explanation:
Specialist Data Analysts develop deep expertise in analytics tools, techniques, and statistics.

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2. Question 2

A Principal Data Analyst is responsible for:

• ❌ Being well-versed in Big Data processing tools

• ❌ Being a domain specialist

• ❌ Having expertise in all tools & technologies

• ✅ Establishing processes in the team

Explanation:
Principal Data Analysts act at a strategic level, setting standards, processes, and best practices.

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3. Question 3

Project/Marketing/HR managers who use analytics in their roles are known as analytics-enabled job roles.

• ✅ True

• ❌ False

Explanation:
These professionals use data skills to enhance decision-making while staying in their primary job domain.

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4. Question 4

Which is essential for getting started and growing as a Data Analyst?

• ❌ A degree in Computer Science

• ❌ A degree in Statistics

• ❌ Domain specialization

• ✅ Love for numbers, a curious mind, and openness to learn

Explanation:
Data analysis requires the right mindset, curiosity, and willingness to learn more than specific degrees.

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5. Question 5

Which Data Analysis roles may be best suited for people with little or no technical training?

• ❌ Big Data Engineer

• ✅ Functional Analyst

• ❌ Data Analyst

• ❌ Data Scientist

Explanation:
Functional Analysts leverage domain knowledge, not heavy coding or technical backgrounds.

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🧾 Summary Table

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