Module 1 challenge :Foundations: Data, Data, Everywhere (Google Data Analytics Professional Certificate) Answers 2025

Question 1

Which of the following statements correctly describe data and data analysis?

✅ One goal of data analysis is to make predictions.
✅ Data analysis is the science of data.
✅ Collecting data is part of the data analysis process.
✅ Data is a collection of facts.

Explanation:
All statements are true — data analysis involves collecting and interpreting data (facts) to gain insights and make predictions.

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Question 2

Fill in the blank: Data science involves using _____ data to create new ways of modeling and understanding the unknown.

✅ raw
❌ clean
❌ transformed
❌ processed

Explanation:
Data science begins with raw data, which is later cleaned, processed, and transformed for modeling and insights.

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Question 3

Which of the following activities are elements of data-driven decision-making?

✅ Determine the problem to be solved
✅ Analyze data
✅ Uncover trends or patterns
❌ Eliminate information derived from gut instinct

Explanation:
Data-driven decision-making focuses on using data to understand problems and find patterns; gut instinct isn’t part of this approach.

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Question 4

A pet shelter wants to receive 15% more donations … develop strategies to bridge the difference. What does this scenario describe?

✅ Gap analysis
❌ Guiding business decisions
❌ Planning
❌ Future analysis

Explanation:
A gap analysis identifies the difference between the current state and desired goals — exactly what this team is doing.

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Question 5

Fill in the blank: Data analysts use a _____ approach in order to identify, describe, and work out challenges or issues.

✅ problem-oriented
❌ big-picture
❌ cost-effective
❌ generalized

Explanation:
Data analysts follow a problem-oriented approach — focusing on solving specific issues based on data insights.

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Question 6

Which of the following scenarios demonstrate analytical thinking?

✅ You identify and define a problem, then solve it by using data in an organized manner.
❌ You determine your hypothesis to be true because there is nothing in your data to contradict it.
✅ You select and design a graph to communicate your data in an appropriate and accessible way.
✅ You notice that two pieces of data trend in the same direction and investigate them further to check for correlation.

Explanation:
Analytical thinking involves logical analysis, visualization, and investigation — not assuming results without proof.

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Question 7

A data team applies analytical thinking to decide what they want to achieve with the data. Which aspect does this describe?

✅ Strategic thinking
❌ Big-picture thinking
❌ Collaboration
❌ Correlation

Explanation:
Strategic thinking means setting goals and aligning data analysis with business outcomes.

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Question 8

What is the root cause of a problem?

✅ Why the problem occurs
❌ The problem’s consequences
❌ A symptom of the problem
❌ The impact of the problem

Explanation:
The root cause explains why a problem exists — addressing it prevents recurrence.

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Question 9

A data professional breaks down larger elements into smaller pieces. Which analytical skill does this describe?

✅ Technical mindset
❌ Understanding context
❌ Curiosity
❌ Data design

Explanation:
A technical mindset is the ability to approach problems systematically and logically — breaking complex tasks into smaller steps.

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Question 10

Which of the following examples demonstrate data-driven decision-making?

❌ A transportation company prioritizes politicians’ preferences.
✅ An online retailer surveys customers to develop new products.
✅ A weather forecaster uses past extreme weather data.
✅ A government agency uses police report data for crime prevention.

Explanation:
Data-driven means relying on facts, analysis, and measurable evidence, not personal opinions or politics.

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🧾 Summary Table

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