Module 2: Make Data-Driven Decisions Answers (Part 3: Q31–35)
This is Part 3 of the Module 2 quiz answers for “Make Data-Driven Decisions ” from the Google Data Analytics Professional Certificate on Coursera.
Here, we’ll walk through questions 31 to 35 with detailed explanations to support your learning.
To find answers to the remaining questions, check out the full module breakdown below:
31. If a data analyst compares the cost of an investment to the net profit of that investment over a period of time, they’re analyzing the investment scope.
- True
- False ✅
Explanation:
That describes ROI, not investment scope.
32. What is an example of using a metric? Select all that apply.
- Using column headers to sort and filter data
- Using annual profit targets to set and evaluate goals ✅
- Using key performance indicators, such as click-through rates, to measure revenue ✅
- Using a pie chart to visualize data
Explanation:
Metrics are quantifiable measurements used to evaluate performance against set goals.
33. Fill in the blank: In data analytics, a process or set of rules to be followed for a specific task is _____.
- a pattern
- a domain
- an algorithm ✅
- a value
Explanation:
Algorithm = sequence of steps to solve a task or analyze data.
34. Fill in the blank: Return on investment compares the cost of an investment to the _____ of that investment.
- purpose
- timing
- net profit ✅
- future success
Explanation:
This evaluates whether the investment brought in more than it cost.
35. In data analytics, dashboards monitor data that is a continuous source of incoming information. Which of the following terms describes this type of data?
- Comprehensive
- Live ✅
- Filtered
- Sorted
Explanation:
Dashboards constantly update using real-time information from multiple sources.
Congratulations! You’ve completed all 65 questions. Share this post if it helped you, and check out other Coursera quiz answers below.
Related contents:
Module 1: Ask effective questions
Module 3: Spreadsheet magic
Module 4: Always remember the stakeholder
Module 4: *Course challenge*
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