MIS 183 EXAM 1 PRACTICE QUESTIONS WITH CORRECT ANSWERS LATEST UPDATE 2026
Scenario: A manaScenario: A manager asks AI to "fully automate monthly financial reporting and
remove analyst review." What concept is being confused? - Answers Automation vs Augmentation. AI
is meant to assist, not replace human validation, governance, and accountability.
Scenario: AI generates a narrative insight that references a KPI not shown anywhere in the dashboard.
What type of issue is this? - Answers Fabricated Variable (AI Hallucination).
Scenario: AI states, "Discounts caused revenue growth this quarter." What is the correct executive
response? - Answers Challenge causation. Correlation does not prove cause. Require testing or
further validation.
Scenario: A dashboard shows revenue declining, but the AI narrative says revenue is "strongly
increasing." What is this called? - Answers Contradicting dashboard visuals (hallucination type).
Scenario: An organization frequently changes KPI formulas between quarters. What risk does this
create? - Answers Loss of consistency and governance; trend analysis becomes unreliable.
Scenario: A KPI encourages managers to cut training costs to improve short-term profit, harming long-
term growth. What risk is demonstrated? - Answers Incentive misalignment and short-term focus
from poor KPI design.
Scenario: An AI tool summarizes trends but an analyst double-checks before presenting to executives.
What workflow is this? - Answers AI-Augmented BI Workflow (AI exploration → human validation →
decision).
Scenario: Executives act on AI output without verifying data sources. What principle is being violated?
- Answers Trust without verification is risk.
Scenario: A company wants to explore open-ended questions across customer reviews and sales data
quickly. Why use AI augmentation? - Answers AI accelerates pattern exploration and handles
unstructured data better than traditional BI alone.
Scenario: A report requires strict auditability and consistent definitions for compliance. Which
approach is most critical? - Answers Traditional BI governance structure.
Scenario: AI flags a "high strategic risk" based on a minor 1% fluctuation. What hallucination type is
this? - Answers Risk Inflation.
Scenario: An analyst asks: "Did AI invent data?" What framework step is this? - Answers AI Evaluation
Framework - Data verification check.
Scenario: Sales increased in Region A after a marketing campaign. AI claims the campaign caused the
increase. What should leadership do? - Answers Test causation before acting; consider third
variables.
Scenario: AI suggests a pattern across all regions, but data only supports one region. What
hallucination type is present? - Answers Overgeneralization.
Scenario: A company removes human KPI ownership because AI defines metrics dynamically. What
major governance risk emerges? - Answers Loss of metric consistency and accountability.
Scenario: The BI team moves from "Business Question → SQL → Dashboard" to including AI
exploration first. What shift is this? - Answers Transition from Traditional BI workflow to AI-
Augmented BI workflow.
Scenario: An AI dashboard includes executive summaries and risk flags in addition to charts. What
type of dashboard is this? - Answers AI-Augmented Dashboard.
Scenario: A manager says, "AI should decide which KPIs matter." What is the correct response? -
Answers KPI governance and strategic alignment remain human responsibilities.
Scenario: A company relies only on predefined reports and struggles with new business questions.
What limitation is this? - Answers Traditional BI limitation: Predefined questions only.
Scenario: AI identifies seasonality in quarterly revenue. What type of descriptive capability is this? -
Answers AI-assisted trend detection (seasonality identification).
Scenario: A CFO asks why KPI governance is important in financial reporting. Best answer? - Answers
Ensures consistency, prevents manipulation, supports accountability, and maintains investor trust.
Scenario: AI claims "Customer churn will continue to rise dramatically" without strong evidence. What
evaluation question should you ask? - Answers Is the language proportional to the data?
Scenario: An insight cannot be traced back to any data field. What evaluation conclusion should you
reach? - Answers The insight is not verifiable and should not be trusted.
, Scenario: A company uses AI to help generate SQL queries but analysts still approve final dashboards.
What is AI's role here? - Answers Query assistance and exploration support (augmentation, not
replacement).
Scenario: A dashboard shows revenue growth, but profit margin declines. What managerial
implication should be considered? - Answers Growth without profitability may signal cost inefficiency
or margin pressure.
Scenario: AI flags that 60% of revenue comes from 3 customers. What risk dimension is this? -
Answers Concentration risk.
Scenario: An executive confuses correlation with causation and reallocates budget prematurely. What
exam concept does this test? - Answers Pattern ≠ Causation.
Scenario: A firm implements audit logs tracking AI prompts and outputs. What mitigation strategy is
this? - Answers Audit trails for governance and accountability.
Scenario: AI is restricted to approved KPIs and fields only. What mitigation strategy is being used? -
Answers Field constraints.
Scenario: A business leader asks, "Where exactly does AI fit in our BI architecture?" Best answer? -
Answers After the business question stage to accelerate exploration, before final human validation
and dashboard decision-making.
Scenario: A KPI is measurable but not aligned with strategic objectives. Is it a good KPI? - Answers No.
KPIs must be aligned with strategy to be effective.
Scenario: AI analyzes discount usage, region, and channel together to detect revenue patterns. What
capability is being demonstrated? - Answers Multi-dimensional pattern recognition.
Scenario: Leadership wants faster insights but refuses to sacrifice governance. What solution aligns
with the course framework? - Answers AI augmentation with strong human validation and
governance protocols.
Scenario: A company depends entirely on AI narratives and stops reviewing dashboards. What
systemic risk develops? - Answers Loss of governance control and increased hallucination exposure.
Scenario: A board member asks, "Why not fully automate insight generation?" What is the best
conceptual response? - Answers AI lacks business judgment, accountability, and governance
authority; humans must validate and decide.
Scenario: Sales spike during holiday season. AI identifies a recurring Q4 pattern. What descriptive
concept is this? - Answers Seasonality detection.
Scenario: A leader evaluates AI output by checking alignment with charts and testing implied
causation. What skill is being demonstrated? - Answers Hallucination detection and governance-
based evaluation.ger asks AI to "fully automate monthly financial reporting and remove analyst
review." What concept is being confused? - Answers Automation vs Augmentation. AI is meant to
assist, not replace human validation, governance, and accountability. Scenario: AI generates a
narrative insight that references a KPI not shown anywhere in the dashboard. What type of issue is
this? - Answers Fabricated Variable (AI Hallucination). Scenario: AI states, "Discounts caused revenue
growth this quarter." What is the correct executive response? - Answers Challenge causation.
Correlation does not prove cause. Require testing or further validation. Scenario: A dashboard shows
revenue declining, but the AI narrative says revenue is "strongly increasing." What is this called? -
Answers Contradicting dashboard visuals (hallucination type). Scenario: An organization frequently
changes KPI formulas between quarters. What risk does this create? - Answers Loss of consistency
and governance; trend analysis becomes unreliable. Scenario: A KPI encourages managers to cut
training costs to improve short-term profit, harming long-term growth. What risk is demonstrated? -
Answers Incentive misalignment and short-term focus from poor KPI design. Scenario: An AI tool
summarizes trends but an analyst double-checks before presenting to executives. What workflow is
this? - Answers AI-Augmented BI Workflow (AI exploration → human validation → decision). Scenario:
Executives act on AI output without verifying data sources. What principle is being violated? -
Answers Trust without verification is risk. Scenario: A company wants to explore open-ended
questions across customer reviews and sales data quickly. Why use AI augmentation? - Answers AI
accelerates pattern exploration and handles unstructured data better than traditional BI alone.
Scenario: A report requires strict auditability and consistent definitions for compliance. Which
approach is most critical? - Answers Traditional BI governance structure. Scenario: AI flags a "high
strategic risk" based on a minor 1% fluctuation. What hallucination type is this? - Answers Risk
Inflation. Scenario: An analyst asks: "Did AI invent data?" What framework step is this? - Answers AI
Evaluation Framework - Data verification check. Scenario: Sales increased in Region A after a
Scenario: A manaScenario: A manager asks AI to "fully automate monthly financial reporting and
remove analyst review." What concept is being confused? - Answers Automation vs Augmentation. AI
is meant to assist, not replace human validation, governance, and accountability.
Scenario: AI generates a narrative insight that references a KPI not shown anywhere in the dashboard.
What type of issue is this? - Answers Fabricated Variable (AI Hallucination).
Scenario: AI states, "Discounts caused revenue growth this quarter." What is the correct executive
response? - Answers Challenge causation. Correlation does not prove cause. Require testing or
further validation.
Scenario: A dashboard shows revenue declining, but the AI narrative says revenue is "strongly
increasing." What is this called? - Answers Contradicting dashboard visuals (hallucination type).
Scenario: An organization frequently changes KPI formulas between quarters. What risk does this
create? - Answers Loss of consistency and governance; trend analysis becomes unreliable.
Scenario: A KPI encourages managers to cut training costs to improve short-term profit, harming long-
term growth. What risk is demonstrated? - Answers Incentive misalignment and short-term focus
from poor KPI design.
Scenario: An AI tool summarizes trends but an analyst double-checks before presenting to executives.
What workflow is this? - Answers AI-Augmented BI Workflow (AI exploration → human validation →
decision).
Scenario: Executives act on AI output without verifying data sources. What principle is being violated?
- Answers Trust without verification is risk.
Scenario: A company wants to explore open-ended questions across customer reviews and sales data
quickly. Why use AI augmentation? - Answers AI accelerates pattern exploration and handles
unstructured data better than traditional BI alone.
Scenario: A report requires strict auditability and consistent definitions for compliance. Which
approach is most critical? - Answers Traditional BI governance structure.
Scenario: AI flags a "high strategic risk" based on a minor 1% fluctuation. What hallucination type is
this? - Answers Risk Inflation.
Scenario: An analyst asks: "Did AI invent data?" What framework step is this? - Answers AI Evaluation
Framework - Data verification check.
Scenario: Sales increased in Region A after a marketing campaign. AI claims the campaign caused the
increase. What should leadership do? - Answers Test causation before acting; consider third
variables.
Scenario: AI suggests a pattern across all regions, but data only supports one region. What
hallucination type is present? - Answers Overgeneralization.
Scenario: A company removes human KPI ownership because AI defines metrics dynamically. What
major governance risk emerges? - Answers Loss of metric consistency and accountability.
Scenario: The BI team moves from "Business Question → SQL → Dashboard" to including AI
exploration first. What shift is this? - Answers Transition from Traditional BI workflow to AI-
Augmented BI workflow.
Scenario: An AI dashboard includes executive summaries and risk flags in addition to charts. What
type of dashboard is this? - Answers AI-Augmented Dashboard.
Scenario: A manager says, "AI should decide which KPIs matter." What is the correct response? -
Answers KPI governance and strategic alignment remain human responsibilities.
Scenario: A company relies only on predefined reports and struggles with new business questions.
What limitation is this? - Answers Traditional BI limitation: Predefined questions only.
Scenario: AI identifies seasonality in quarterly revenue. What type of descriptive capability is this? -
Answers AI-assisted trend detection (seasonality identification).
Scenario: A CFO asks why KPI governance is important in financial reporting. Best answer? - Answers
Ensures consistency, prevents manipulation, supports accountability, and maintains investor trust.
Scenario: AI claims "Customer churn will continue to rise dramatically" without strong evidence. What
evaluation question should you ask? - Answers Is the language proportional to the data?
Scenario: An insight cannot be traced back to any data field. What evaluation conclusion should you
reach? - Answers The insight is not verifiable and should not be trusted.
, Scenario: A company uses AI to help generate SQL queries but analysts still approve final dashboards.
What is AI's role here? - Answers Query assistance and exploration support (augmentation, not
replacement).
Scenario: A dashboard shows revenue growth, but profit margin declines. What managerial
implication should be considered? - Answers Growth without profitability may signal cost inefficiency
or margin pressure.
Scenario: AI flags that 60% of revenue comes from 3 customers. What risk dimension is this? -
Answers Concentration risk.
Scenario: An executive confuses correlation with causation and reallocates budget prematurely. What
exam concept does this test? - Answers Pattern ≠ Causation.
Scenario: A firm implements audit logs tracking AI prompts and outputs. What mitigation strategy is
this? - Answers Audit trails for governance and accountability.
Scenario: AI is restricted to approved KPIs and fields only. What mitigation strategy is being used? -
Answers Field constraints.
Scenario: A business leader asks, "Where exactly does AI fit in our BI architecture?" Best answer? -
Answers After the business question stage to accelerate exploration, before final human validation
and dashboard decision-making.
Scenario: A KPI is measurable but not aligned with strategic objectives. Is it a good KPI? - Answers No.
KPIs must be aligned with strategy to be effective.
Scenario: AI analyzes discount usage, region, and channel together to detect revenue patterns. What
capability is being demonstrated? - Answers Multi-dimensional pattern recognition.
Scenario: Leadership wants faster insights but refuses to sacrifice governance. What solution aligns
with the course framework? - Answers AI augmentation with strong human validation and
governance protocols.
Scenario: A company depends entirely on AI narratives and stops reviewing dashboards. What
systemic risk develops? - Answers Loss of governance control and increased hallucination exposure.
Scenario: A board member asks, "Why not fully automate insight generation?" What is the best
conceptual response? - Answers AI lacks business judgment, accountability, and governance
authority; humans must validate and decide.
Scenario: Sales spike during holiday season. AI identifies a recurring Q4 pattern. What descriptive
concept is this? - Answers Seasonality detection.
Scenario: A leader evaluates AI output by checking alignment with charts and testing implied
causation. What skill is being demonstrated? - Answers Hallucination detection and governance-
based evaluation.ger asks AI to "fully automate monthly financial reporting and remove analyst
review." What concept is being confused? - Answers Automation vs Augmentation. AI is meant to
assist, not replace human validation, governance, and accountability. Scenario: AI generates a
narrative insight that references a KPI not shown anywhere in the dashboard. What type of issue is
this? - Answers Fabricated Variable (AI Hallucination). Scenario: AI states, "Discounts caused revenue
growth this quarter." What is the correct executive response? - Answers Challenge causation.
Correlation does not prove cause. Require testing or further validation. Scenario: A dashboard shows
revenue declining, but the AI narrative says revenue is "strongly increasing." What is this called? -
Answers Contradicting dashboard visuals (hallucination type). Scenario: An organization frequently
changes KPI formulas between quarters. What risk does this create? - Answers Loss of consistency
and governance; trend analysis becomes unreliable. Scenario: A KPI encourages managers to cut
training costs to improve short-term profit, harming long-term growth. What risk is demonstrated? -
Answers Incentive misalignment and short-term focus from poor KPI design. Scenario: An AI tool
summarizes trends but an analyst double-checks before presenting to executives. What workflow is
this? - Answers AI-Augmented BI Workflow (AI exploration → human validation → decision). Scenario:
Executives act on AI output without verifying data sources. What principle is being violated? -
Answers Trust without verification is risk. Scenario: A company wants to explore open-ended
questions across customer reviews and sales data quickly. Why use AI augmentation? - Answers AI
accelerates pattern exploration and handles unstructured data better than traditional BI alone.
Scenario: A report requires strict auditability and consistent definitions for compliance. Which
approach is most critical? - Answers Traditional BI governance structure. Scenario: AI flags a "high
strategic risk" based on a minor 1% fluctuation. What hallucination type is this? - Answers Risk
Inflation. Scenario: An analyst asks: "Did AI invent data?" What framework step is this? - Answers AI
Evaluation Framework - Data verification check. Scenario: Sales increased in Region A after a
