Question 1

What is the term for someone who explores, cleans, analyzes, and visualizes data?

• Client ❌

• Stakeholder ❌

• Information technology professional ❌

• Data professional ✅

Explanation:
A data professional performs data exploration, cleaning, analysis, and visualization.

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Question 2

Machine learning differs from automation because it uses _____ instead of explicit instructions.

• data ✅

• sampling ❌

• schemas ❌

• mapping ❌

Explanation:
ML learns patterns from data, while automation uses predefined rules.

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Question 3

Which description applies most closely to data analytics?

• It produces broad insights… ❌

• It uses advanced techniques… ❌

• It determines actionable insights that can be applied immediately based on existing queries. ✅

• It seeks to answer “What will happen?”… ❌

Explanation:
Data analytics focuses on actionable insights from existing data, while data science is broader and predictive.

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Question 4

Advantages of Python (Select all that apply):

• It was created within the data community. ❌

• It is one of the easiest programming languages to learn. ✅

• It can be used to deploy data-driven applications. ✅

• Its formatting is visually uncluttered. ✅

Explanation:
Python is known for readability, simplicity, and versatility across data and app development.

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Question 5

Web-based platform used with Python:

• SQL ❌

• HTML ❌

• Jupyter Notebook ✅

• R Markdown ❌

Explanation:
Jupyter Notebook is the main web-based interactive environment for Python.

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Question 6

Communication practices (Select all that apply):

• Enriching data insights with visual elements ✅

• Explaining data using a graphical interface ✅

• Creating a statistical model with code ❌

• Sharing complex data ✅

Explanation:
Using Tableau to present insights involves visualization and communicating complex data simply.

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Question 7

Edge computing distributes ____ over nearby processors.

• data sources ❌

• coding libraries ❌

• models ❌

• computational tasks ✅

Explanation:
Edge computing spreads computation across local devices for speed and reliability.

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Question 8

Skills developed in the Google Advanced Data Analytics program (Select all):

• Using Python for data analytics ✅

• Developing visualizations with Tableau ✅

• Performing regression modeling and hypothesis testing ✅

• Using statistics to draw insights and conclusions from data ✅

Explanation:
All listed skills are covered in the advanced data analytics curriculum.

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Question 9

Helpful habits for completing the certificate (Select all):

• Reviewing exemplars ✅

• Taking notes ✅

• Spending an entire day rushing then taking months off ❌

• Planning your time ✅

Explanation:
Consistent study habits (notes, planning, examples) improve success.

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Question 10

Companies only care about your coding and math skills.

• True ❌

• False ✅

Explanation:
Employers also value communication, problem-solving, teamwork, and business understanding.

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🧾 Summary Table

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