40  Assessment — Algorithms, Data Types, Metrics, and Visualization Tools

Question 1

A data analyst at a staffing agency automates a process to schedule temporary employees.
First, a list of all employees is compiled. Then, they are sorted by availability, area of expertise, and past performance ratings.
Finally, employees for each open position are listed. What does this scenario describe?

  • Making a pivot table
  • Data-inspired decision-making
  • Creating an algorithm
  • Using a formula
✅ Creating an algorithm  
Question 2

Which of the following statements accurately describe qualitative and quantitative data?
Select all that apply.

  • The color of the ocean is an example of quantitative data.
  • The temperature of an office building is an example of qualitative data.
  • Qualitative data describes subjective characteristics.
  • Quantitative data involves numerical facts.
✅ Qualitative data describes subjective characteristics. <br>
✅ Quantitative data involves numerical facts.  
Question 3

When working with big data, analysts consider the variety of data within large, complex datasets.
What does this entail?

  • Evaluating the quality and reliability of the data
  • Identifying the different kinds of data included
  • Assessing the amount of data available
  • Understanding how quickly the data can be processed
✅ Identifying the different kinds of data included  
Question 4

A data professional uses a spreadsheet tool to create a visualization that totals productivity data by organization, department, and employee.
What tool are they using?

  • Format
  • Data validation
  • Pivot table
  • Sort
✅ Pivot table  
Question 5

Company leaders at a cafeteria supplier want to improve business performance.
How could they use metrics and a metric goal to help them do so?

  • Develop a metric. Then, evaluate it to determine whether it advances 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 numerous data points.
  • Establish a metric goal as a single data point. Then, quantify it with metrics.
✅ Create a metric goal as the business objective. Then, evaluate it using metrics.  
Question 6

Which of the following statements correctly describe dashboards and reports?
Select all that apply.

  • Dashboards are designed and distributed periodically as a reference.
  • Reports and dashboards are both useful for data visualization.
  • A dashboard could be used to track hourly error rates when programming code.
  • Reports are effective at capturing high-level, historical data.
✅ Reports and dashboards are both useful for data visualization. <br>
✅ A dashboard could be used to track hourly error rates when programming code. <br>
✅ Reports are effective at capturing high-level, historical data.  
Question 7

Fill in the blank:
A company determines the _____ of an investment using ROI, which is calculated by comparing the two metrics of investment cost and profit.

  • success
  • urgency
  • difficulty
  • expense
✅ success  
Question 8

What are some typical challenges that may be faced by businesses that are beginning to collect and use big data?
Select all that apply.

  • Technology may not provide measurable data
  • Large datasets cannot cover a long time period
  • Slower decision-making time frames
  • Having too much irrelevant information
✅ Technology may not provide measurable data. <br>
✅ Slower decision-making time frames. <br>
✅ Having too much irrelevant information.