Module 1 challenge: Ask Questions to Make Data-Driven Decisions (Google Data Analytics Professional Certificate) Answers 2025

Question 1

Fill in the blank: When solving the _____ problem type, a data professional team analyzes market data to understand past fluctuations and predict future ones.

✅ finding patterns
❌ discovering connections
❌ categorizing things
❌ identifying themes

Explanation:
“Finding patterns” involves looking for repeated trends or behaviors in data — such as recurring market fluctuations.

Question 2

Which of the following statements correctly describe the SMART methodology?

✅ SMART stands for specific, measurable, action-oriented, relevant, and time-bound.
✅ Time-bound questions specify the time to be studied.
✅ Relevant questions lead to answers that help solve the problem.
❌ Measurable questions relate to topics that are intangible or difficult to quantify.

Explanation:
“Measurable” means the question’s success can be quantified or tracked, not that it’s hard to measure.

Question 3

A software company analyzes customer behavior to improve design. What data problem type is this?

✅ Making predictions
❌ Discovering connections
❌ Categorizing things
❌ Spotting something unusual

Explanation:
They use past behavior data to predict optimal future design elements — a clear prediction problem.

Question 4

Why is “Why do you believe our products are the best on the market?” unfair?

✅ It is a leading question.
✅ It makes assumptions.
❌ It is a closed-ended question.
❌ It is difficult to understand.

Explanation:
It assumes the customer already believes the products are the best, leading to biased responses.

Question 5

Fill in the blank: When solving the _____ problem type, a team notices a surprising shift in global economic conditions.

✅ spotting something unusual
❌ discovering connections
❌ identifying themes
❌ making predictions

Explanation:
Spotting something unusual involves detecting anomalies or unexpected changes in data patterns.

Question 6

A data professional groups production data by machine type and materials. What problem type is this?

✅ Identifying themes
❌ Finding patterns
❌ Discovering connections
❌ Making predictions

Explanation:
They are organizing data into broader concepts or categories, which is theme identification.

Question 7

Which of the following are open-ended questions?

✅ How would you describe this movie?
✅ What are you most looking forward to in the coming year?
❌ Have you ever traveled outside your home country?
❌ On a scale of 1–10, how important is eating healthy?

Explanation:
Open-ended questions allow free-form answers, not yes/no or scaled responses.

Question 8

Businesses share data to find common issues in supply and manufacturing. What data problem type is this?

✅ Discovering connections
❌ Identifying themes
❌ Categorizing things
❌ Making predictions

Explanation:
“Discovering connections” focuses on finding relationships or links among different data sources or entities.

Question 9

Fill in the blank: “Which aspects of our packaging can be updated to make our product more customer-centric?” is _____ because it encourages change.

✅ action-oriented
❌ measurable
❌ relevant
❌ specific

Explanation:
It drives action — suggesting improvements and changes — not measurement or timing.

Question 10

A construction team groups bridge materials by durability. What problem type is this?

✅ Categorizing things
❌ Spotting something unusual
❌ Finding patterns
❌ Discovering connections

Explanation:
Grouping data into categories (sturdy vs. less sturdy) is a categorization problem.

🧾 Summary Table