Visual Analytics Strategy Advanced Exam
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This test is designed to take 60 – 90 minutes
You must answer 20 of 25 questions correctly to pass |
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1. Which of these is *not* a reason to trade text tables for visual analytics?
A. Reduced time to insights.
B. Increased accuracy of insights.
C. Improved engagement.
D. Less efficient decision making.
2. While you should not attempt to rank preattentive attributes, which two consistently rise above the rest according to Stephen Few?
A. Size and Intensity of Motion
B. Color and Area
C. Length (Height) and 2-D Position
D. Orientation and Direction of Motion
3. How do we define what makes a chart type advanced?
A. They're too hard to read.
B. They're not available as an out-of-the-box option.
C. They always incorporate advanced statistics.
D. They look the coolest.
4. What two preattentive attributes are getting more attention with advancements in technology?
A. AI and Quantum Computing
B. Direction of Motion and Intensity of Motion
C. Sankey and Venn
D. Color and Shape
5. Which of these is a chart type Playfair Data developed or adapted?
A. Leapfrog charts.
B. Pilula charts.
C. Sankey bump charts.
D. All of the above.
6. What are four possible stakeholder personas?
A. Analytical, amiable, competitive, expressive.
B. Logical, intuitive, collaborative, decisive.
C. Innovator, follower, gatekeeper, sponsor.
D. Visionary, operator, skeptic, advocate.
7. What is an effective tactic when dealing with an Analytical personality type?
A. Display calculation methodologies.
B. Provide means for downloading raw data.
C. Document how data was sourced.
D. All of the above.
8. Which two audiences are mostly interested in outcomes?
A. Intuitive and collaborative.
B. Expressive and competitive.
C. Analytical and innovator.
D. Skeptic and advocate.
9. What is an example of a psychological schema in data visualization?
A. Performance is always positive period over period.
B. Only use chart types that users don't understand (reverse psychology).
C. Present findings with over confidence.
D. Green means good; red means bad.
10. What is a benefit of using schemas in data visualization?
A. Telling stakeholders what they want to hear.
B. Decreased accuracy of insight.
C. Reduced time to insight.
D. Proving you're smarter than the audience.
11. When relying completely on intuition, what percentage of decisions do managers get correct?
A. 0%
B. 25%
C. 50%
D. 80%
12. What are the two macro types of decisions?
A. Programmed and non-programmed.
B. Routine and non-routine.
C. Administrative and executive.
D. Strategic and tactical.
13. According to the book, Decision-Ready Data, which of these is a type of decision?
A. Executive and routine.
B. Non-routine and tactical.
C. Intuitive and strategic.
D. Non-programmed and analytical.
14. Which of these is an example of a programmed, analytical decision?
A. Where should I go to lunch today?
B. How should we allocate a budget?
C. When should an assembly line be turned off?
D. Where should we open our next store?
15. What is bounded rationality?
A. The idea we will never have all data to make optimal decisions.
B. The theory that decision-makers can only be rational within their specific area of expertise.
C. The concept that rational decision-making is limited by organizational policies and procedures.
D. No matter what we do, we'll always be outperformed by random events.
16. What is the most important takeaway from discovery interviews?
A. Finding who is the smartest stakeholder.
B. To gather "micro" / niche requirements.
C. The purpose or objective of the project.
D. To determine what this will cost me.
17. How many 'macro' requirements should you aim to gather during discovery?
A. One.
B. Two or three.
C. At least five.
D. At least ten.
18. What is a 'micro' requirement?
A. Project requirements mentioned multiple times.
B. Requirements too small for most stakeholders to see.
C. Fine print towards the bottom-right corner.
D. Requirements that will make the biggest impact.
19. Which of the following is not a section in Playfair Data's discovery questionnaire?
A. Audience
B. Cost
C. UX / Design
D. Data
20. Which of the following aspects of a data schema should you gather during discovery?
A. Source, Format, Volume
B. Structure, Validation, Frequency
C. Type, Relationship, Constraint
D. Field, Definition, Methodology
21. What is a good tactic that helps both performance optimization and user experience?
A. Designing the coolest background image.
B. Data preparation / only using data you need.
C. Paying for the most expensive hardware.
D. Providing limited dropdown selections.
22. What advanced tactic can be incorporated into dashboards any time you want to provide a choice?
A. Surveys.
B. Context filters.
C. Boolean toggles (including parameter actions).
D. Splash pages.
23. What best practice should you use when values are on different scales?
A. Cropping axes.
B. Normalization (including 100-point index scores).
C. Not including zero on axes.
D. Color differences red.
24. What two aspects of data visualization make it possible to invent new chart types?
A. Axes and preattentive attributes.
B. Layout and composition.
C. Encoding and interaction.
D. Color and shape.
25. Which of the following tactics will help your dashboards load faster?
A. Preparing dimensions before analysis.
B. Adding more filter options.
C. Increasing the size of the data source.
D. Converting data type to String.
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