Module 2 challenge: Ask Questions to Make Data-Driven Decisions (Google Data Analytics Professional Certificate) Answers 2025

Question 1

A data professional automates sorting of best-selling products. What does this describe?

✅ Creating an algorithm
❌ Data-inspired decision-making
❌ Making a pivot table
❌ Using a formula

Explanation:
The process involves automation and logical steps (list → count → sort) — that’s exactly what an algorithm does.

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Question 2

Which statements correctly describe qualitative and quantitative data?

✅ The smell of lavender is an example of qualitative data.
✅ The height of a suspension bridge is an example of quantitative data.
❌ Qualitative data involves information that can be quantified.
❌ Quantitative data involves things that cannot be measured using numerical data.

Explanation:

• Qualitative data = descriptive, non-numeric (like colors, smells, opinions).

• Quantitative data = measurable, numeric (like height, weight, counts).

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Question 3

When working with big data, what does veracity entail?

✅ Evaluating the quality and reliability of the data
❌ Understanding how quickly the data can be processed
❌ Identifying the different kinds of data available
❌ Assessing the amount of data included

Explanation:
In the 5 Vs of Big Data — Volume, Velocity, Variety, Veracity, and Value —
Veracity = accuracy, trustworthiness, and reliability of data sources.

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Question 4

A data professional uses a spreadsheet tool to total and visualize data by department and employee. What tool are they using?

✅ Pivot table
❌ Sort
❌ Data validation
❌ Format

Explanation:
Pivot tables summarize and aggregate data (e.g., totals, averages) across categories — perfect for productivity by department or employee.

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Question 5

How can metrics and metric goals help improve performance?

✅ Create a metric goal as the business objective. Then, evaluate it using metrics.
❌ Set a metric as the business objective. Then, quantify it using data points.
❌ Develop a metric. Then, evaluate it for performance.
❌ Establish a metric goal as a single data point. Then, quantify it with metrics.

Explanation:
A metric goal is the target, while metrics are used to measure progress toward that goal.

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Question 6

Which statements correctly describe dashboards and reports?

✅ A dashboard enables stakeholders to monitor live, incoming data.
✅ An HR dashboard could be used to track employee hours worked daily.
✅ Reports are useful for data visualization.
❌ Reports offer ongoing access to dynamic information.

Explanation:

• Dashboards = real-time, interactive monitoring.

• Reports = static snapshots for sharing insights at a point in time.

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Question 7

Fill in the blank: A company determines the _____ of an investment using ROI.

✅ success
❌ expense
❌ difficulty
❌ urgency

Explanation:
ROI (Return on Investment) measures success or profitability of an investment compared to its cost.

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Question 8

What are typical challenges for businesses starting to use big data?

✅ Needed data may be inaccessible
✅ Technology may not provide reportable data
✅ Having too much unimportant information
❌ Inappropriate for use by large organizations

Explanation:
Big data challenges often involve data overload, technology limitations, and accessibility issues, not organization size.

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🧾 Summary Table

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