Week 2 – Data-driven decisions – Shuffle Q/A 1

11. Fill in the blank: A _____ goal is measurable and evaluated using single, quantifiable data.

  • metric
  • finite
  • conceptual
  • benchmark

12. Describe the main differences between big and small data.

  • Small data is typically stored and organized in databases. Big data is typically stored and organized in spreadsheets.
  • Small data is less useful to data analysts. Big data is more useful to data analysts.
  • Small data is specific and concerns a short time period. Big data is less specific and concerns a longer time period.
  • Small data has been cleaned and sorted. Big data has not yet been cleaned or sorted.

13. In data analytics, a pattern is defined as a process or set of rules to be followed for a specific task.

  • True
  • False

14. In data analytics, quantitative data measures qualities and characteristics.

  • True
  • False

15. In data analytics, reports use data that doesn’t change once it’s been recorded. Which of the following terms describes this type of data?

  • Comprehensive
  • Real-time
  • Monitored
  • Static

16. Which data-summarization tool do data analysts use to sort, reorganize, group, count, total, or average data?

  • A function
  • A pivot table
  • A dashboard
  • A report

17. A metric is a specific type of data that companies use to identify a problem domain.

  • True
  • False

18. Fill in the blank: A metric goal is a _____ goal set by a company that is evaluated using metrics.

  • finite
  • theoretical
  • conceptual
  • measurable

Shuffle Q/A 2

19. A data analyst is using data from a short time period to solve a problem related to someone’s day-to-day decisions. They are most likely working with small data.

  • True
  • False

20. 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

Devendra Kumar

Project Management Apprentice at Google

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