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MCQs

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Overall MCQs for Reference

  1. What is the primary goal of creating a dashboard in AI?
    a. Data storage
    b. Data visualization
    c. Data encryption
    d. Data deletion
    Answer: b. Data visualizationgyansetu​
  2. Which aspect is essential in storytelling through dashboards?
    a. Adding narratives
    b. Encrypting data
    c. Limiting visuals
    d. Deleting records
    Answer: a. Adding narrativeslearncbse+1​
  3. Dashboards are most effective when they are:
    a. Overcrowded with visuals
    b. Focused on user goals
    c. Designed for personal use only
    d. Hidden from stakeholders
    Answer: b. Focused on user goalsstudocu+1​
  4. What helps users quickly understand dashboard content?
    a. Random colors
    b. Consistent layout
    c. No labels
    d. Overuse of animations
    Answer: b. Consistent layoutincludehelp+1​
  5. What best practice optimizes dashboard effectiveness?
    a. Use as many charts as possible
    b. Show only key performance indicators (KPIs)
    c. Ignore user feedback
    d. Avoid data updates
    Answer: b. Show only key performance indicators (KPIs)wayground+1​
  6. In AI dashboard storytelling, identifying the audience helps in:
    a. Choosing irrelevant visuals
    b. Tailoring the narrative
    c. Ignoring insights
    d. Random filtering
    Answer: b. Tailoring the narrativestudocu+1​
  7. Which is a common element in data stories?
    a. Conflict
    b. Redundancy
    c. Randomized colors
    d. No labels
    Answer: a. Conflict ]studocu​
  8. What is the recommended sequence in data storytelling?
    a. Visualize, examine, organize, narrate
    b. Organize, visualize, examine, narrate
    c. Organize, visualize, examine, narrate
    d. Gather, visualize, examine, narrate
    Answer: d. Gather, visualize, examine, narratelearncbse​
  9. Which dashboard feature allows interactivity?
    a. Filters
    b. Static images
    c. Locked data
    d. Text-only reports
    Answer: a. Filtersgeeksforgeeks​
  10. Embedding a narrative in dashboards is useful to:
    a. Provide context
    b. Confuse users
    c. Restrict access
    d. Overwhelm users
    Answer: a. Provide contextincludehelp+1​
  11. Dashboards should be designed to:
    a. Support management decisions
    b. Entertain users
    c. Hide information
    d. Store raw data only
    Answer: a. Support management decisionsstudocu+1​
  12. Dynamic visuals help in:
    a. Engaging users
    b. Slowing performance
    c. Removing insights
    d. Hiding outliers
    Answer: a. Engaging usersincludehelp+1​
  13. Real-time updates in dashboards make data:
    a. Stale
    b. Irrelevant
    c. Actionable
    d. Random
    Answer: c. Actionablelearncbse​
  14. What is a ‘story’ in a business dashboard?
    a. A series of visuals with narrative
    b. Encrypted dataset
    c. Large image files
    d. Network logs
    Answer: a. A series of visuals with narrativestudocu+1​
  15. Which enhances dashboard readability?
    a. Color coding
    b. Monochrome only
    c. No legends
    d. Excessive annotation
    Answer: a. Color codingsap+1​
  16. Filters in dashboards are used to:
    a. Focus on specific data
    b. Increase data volume
    c. Restrict access completely
    d. Delete data
    Answer: a. Focus on specific datageeksforgeeks+1​
  17. Which of the following is NOT a dashboard type?
    a. Operational
    b. Strategic
    c. Analytical
    d. Recreational
    Answer: d. Recreationalwayground​
  18. Dashboard size should be chosen to:
    a. Match device display
    b. Randomly resize
    c. Crowded interface
    d. Ignore user needs
    Answer: a. Match device displaygeeksforgeeks​
  19. Which element provides real-time context in a dashboard story?
    a. Live data feed
    b. Static images
    c. Outdated reports
    d. PDFs
    Answer: a. Live data feedlearncbse+1​
  20. What is the first step in effective data storytelling?
    a. Understanding the audience
    b. Adding visuals
    c. Hiding data
    d. Changing colors
    Answer: a. Understanding the audiencelearncbse​
  21. Which feature allows users to personalize dashboard views?
    a. Customizable filters
    b. Hardcoded chart labels
    c. Locked access
    d. No interactivity
    Answer: a. Customizable filtersgeeksforgeeks​
  22. Visual hierarchy in dashboards helps:
    a. Highlight critical data
    b. Hide insights
    c. Mix contexts
    d. Use random visual order
    Answer: a. Highlight critical dataincludehelp+1​
  23. A ‘story’ in AI dashboarding is best described as:
    a. Visuals combined with narrative sequence
    b. Static data file
    c. Irrelevant images
    d. Unstructured tables
    Answer: a. Visuals combined with narrative sequencestudocu+1​
  24. What boosts narrative engagement in AI dashboard stories?
    a. Emotional connection
    b. Text-only messages
    c. No visuals
    d. Data dump
    Answer: a. Emotional connectionstudocu+1​
  25. Which feature encourages exploration in dashboards?
    a. Drill-down capability
    b. Locked visuals
    c. No filters
    d. Flat design
    Answer: a. Drill-down capabilitysap+1​
  26. What type of dashboard is best for executives?
    a. Strategic
    b. Recreational
    c. Technical
    d. Random
    Answer: a. Strategicwayground+1​
  27. A well-designed dashboard should:
    a. Tell a story
    b. Hide data
    c. Mix contexts randomly
    d. Show irrelevant details
    Answer: a. Tell a storyincludehelp+1​
  28. Which aspect is key to analyzing relationships in data stories?
    a. Visualizing connections
    b. Deleting data
    c. Ignoring links
    d. Minimizing visuals
    Answer: a. Visualizing connectionsstudocu​
  29. Dashboard interactivity:
    a. Enhances user engagement
    b. Reduces value
    c. Hides insights
    d. Ignores decisions
    Answer: a. Enhances user engagementgeeksforgeeks+1​
  30. Automated dashboard updates contribute to:
    a. Timeliness
    b. Stale information
    c. Irrelevant insights
    d. Outdated context
    Answer: a. Timelinesslearncbse​
  31. Which narrative technique strengthens AI dashboard stories?
    a. Contextual storytelling
    b. Removing context
    c. Data-only views
    d. Monotone color
    Answer: a. Contextual storytellingincludehelp+1​
  32. Which approach increases dashboard clarity?
    a. Simplicity in design
    b. Crowding with widgets
    c. Mixing chart types
    d. Hiding labels
    Answer: a. Simplicity in designgyansetu+1​
  33. Why use stories in dashboards?
    a. Enhance decision making
    b. Complicate interpretation
    c. Distract users
    d. Obscure data
    Answer: a. Enhance decision makingincludehelp+1​
  34. In which scenario is a dashboard story crucial?
    a. Business presentations
    b. Storing passwords
    c. Archiving logs
    d. Sorting files
    Answer: a. Business presentationsstudocu​
  35. Dashboards designed for AI should be:
    a. Action-oriented
    b. Visual-only
    c. Text-heavy
    d. Non-interactive
    Answer: a. Action-orientedgyansetu+1​
  36. The most critical feature in AI dashboard storytelling:
    a. Audience relevance
    b. Data volume
    c. Old data
    d. Unstructured content
    Answer: a. Audience relevancelearncbse+1​
  37. Which visualization best tells a progressing story?
    a. Line chart
    b. Static table
    c. Plain text
    d. Color block
    Answer: a. Line chartscribd+1​
  38. A dashboard using only raw tables lacks:
    a. Narrative context
    b. Data volume
    c. User login
    d. Access control
    Answer: a. Narrative contextincludehelp+1​
  39. Adding narrative to dashboards:
    a. Provides data context
    b. Hides insights
    c. Makes it text-only
    d. Creates confusion
    Answer: a. Provides data contextstudocu​
  40. Which sequence forms a data-driven story?
    a. Data, visualization, narrative, context
    b. Table, filter, lock, export
    c. Chart, encrypt, delete, close
    d. List, color, randomize, ignore
    Answer: a. Data, visualization, narrative, contextlearncbse+1​
  41. Dashboard stories can include:
    a. User scenarios
    b. Encryption keys
    c. No visuals
    d. Passwords
    Answer: a. User scenariosstudocu​
  42. Most effective dashboards are:
    a. Interactive
    b. Static only
    c. Not visual
    d. Highly complex
    Answer: a. Interactivegeeksforgeeks+1​
  43. A dashboard story is best communicated using:
    a. Visual flow
    b. Locked sheets
    c. Random tables
    d. Ignored formats
    Answer: a. Visual flowstudocu​
  44. When gathering data for dashboard stories, always:
    a. Consider data sources
    b. Ignore accuracy
    c. Delete raw data
    d. Trust defaults blindly
    Answer: a. Consider data sourceslearncbse+1​
  45. Overloading dashboards with visuals causes:
    a. Confusion
    b. Clarity
    c. Storytelling
    d. Focus
    Answer: a. Confusionstudocu+1​
  46. A dashboard with an effective story:
    a. Improves user understanding
    b. Hides trends
    c. Shows irrelevant details
    d. Ignores context
    Answer: a. Improves user understandingincludehelp+1​
  47. In AI, narrative stories in dashboards help to:
    a. Explain AI decisions
    b. Hide logic
    c. Obscure data
    d. Confuse users
    Answer: a. Explain AI decisionsincludehelp+1​
  48. A call to action in dashboards is important because it:
    a. Drives decisions
    b. Delays insight
    c. Clutters the view
    d. Removes interactivity
    Answer: a. Drives decisionsstudocu​
  49. Dashboards in AI are successful when they:
    a. Guide insight and action
    b. Confuse audience
    c. Are static reports
    d. Use only tables
    Answer: a. Guide insight and actiongyansetu+1​
  50. The final step in creating an effective dashboard story:
    a. Review and refine based on feedback
    b. Ignore the audience
    c. Lock edits permanently
    d. Delete notes
    Answer: a. Review and refine based on feedbackstudocu+1​
  1. https://www.gyansetu.in/blog/data-analytics-mcq-quiz-interview-preparation/
  2. https://www.learncbse.in/storyrelling-through-data-class-12-mcq/
  3. https://www.studocu.com/in/document/shri-shivaji-science-college-amravati/electronics1/unit-viii-data-storytelling-mcqs-and-insights-ai-843/141715975
  4. https://www.studocu.com/en-ca/messages/question/6166229/when-creating-a-dashboard-you-should-blank-multiple-choice-include-as-many-visualizations
  5. https://www.includehelp.com/mcq/data-analytics-and-visualization-mcqs.aspx
  6. https://wayground.com/admin/quiz/5dce72c9dab839001bc8da2e/dashboard-and-its-types
  7. https://www.geeksforgeeks.org/quizzes/tableau-dashboards-quiz/
  8. https://community.sap.com/t5/technology-q-a/dashboard-multiple-choice-questions/qaq-p/8052953
  9. https://www.scribd.com/document/612570080/Data-Visualization-MCQ-Questions-and-Answer-PDF
  10. https://www.gyansetu.in/blog/70-power-bi-mcq-and-answers-with-explanation/
  11. https://itfeature.com/ds/ml/online-generative-ai-mcqs-9/
  12. https://www.sanfoundry.com/artificial-intelligence-questions-answers/
  13. https://www.placementpreparation.io/mcq/artificial-intelligence/
  14. https://www.javaguides.net/2024/04/data-analytics-and-visualization-quiz.html
  15. https://www.gyansetu.in/blog/70-generative-ai-mcq-questions-and-answers-gyansetu/
  16. https://www.javaguides.net/2024/09/artificial-intelligence-mcq-questions.html
  17. https://www.examveda.com/data-science/practice-mcq-question-on-data-visualization-and-reporting/?page=3
  18. https://www.tutorialaicsip.com/mcq-artificial-intelligence-class-10/
  19. https://www.scribd.com/document/863144041/AI-MCQ-Answers
  20. https://www.interviewbit.com/artificial-intelligence-mcq/

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