AI Fundamentals and Literacy

AIB-C01 · 48 questions

• A city AI strategy office is briefing council members ahead of a budget vote, and the councilmembers keep using "AI," "machine learning," and "generative AI" as if they mean the same thing. Which statement correctly captures how the three terms relate to each other?
• A county CIO is briefing elected officials on a benefits-fraud detection proposal, and the vendor's pitch keeps using "algorithm" and "trained model" as if they're the same thing. How should the CIO explain the difference?
• A public-health agency's leadership team is debating when an outbreak-prediction model is ready to "go live," and staff need to clarify what separates the training phase from the inference phase. Which statement correctly distinguishes the two?
• A transit authority planning a route-optimization initiative is sorting its available data sources before scoping the project: ridership counts stored in spreadsheets, and rider complaint narratives submitted as free text. How should the authority classify these two sources?
• A school district's data officer warns leadership that an early-warning dropout model will underperform because the historical attendance data it will train on has been entered inconsistently across schools for years. What does this concern illustrate?
• A housing authority drafting its first internal AI governance charter cites ISO/IEC 42001 as the reference standard. What does ISO/IEC 42001 actually establish?
• A courts and clerk's office adopts the ISO/IEC 23053 framework to give every department a shared, consistent AI/ML vocabulary before multiple offices start separate pilots. What is the primary business value of this step?
• A municipal utility explains to its board why a billing-threshold alert system counts as rule-based automation, while a proposed leak-prediction system is a genuine AI solution. What is the key difference between the two?
• A 311 program is evaluating a vendor's claim that its new resident chatbot is an "AI agent." Which characteristic would actually support that claim, rather than describe a simple scripted decision tree?
• An emergency management agency is coordinating several automated dispatch tools, and its director needs to understand "agent-to-agent communication" and "orchestration" before approving a multi-tool response system. What do these terms describe?
• A library system's IT lead notices a book-recommendation model's accuracy declining after patron borrowing habits shifted following the pandemic, and must explain this to the board. What is this phenomenon called, and what does it imply?
• A county IT security team inventories AI tools that public-records staff are already using unofficially, then sorts each tool into approved, blocked, or under-evaluation categories. What organizational risk is this process primarily managing?
• A parks department presents a forecasting model's park-usage outputs to a budget committee, which treats the model's numbers as guaranteed future attendance figures. What should the department clarify about these outputs?
• A city manager's office reviewing a permitting-AI vendor pitch needs to correctly sort the vendor's loose use of "algorithm," "model," and "inference" before signing a contract. Which mapping is correct?
• A state agency's contractor explains why unstructured grant-application narrative text needs different preparation than a structured applicant database before either can feed an AI screening tool. What is the core reason?
• A county administrator's office publishes a shared AI glossary, grounded in a recognized international framework, before letting individual departments launch separate AI pilots. What business value does this sequencing provide?
• A city AI strategy office is deciding whether classifying incoming citizen inquiries is better solved with a trained AI model or a simpler rule-based routing system, given that the inquiry categories are limited and follow highly consistent, predictable patterns. What should the office conclude?
• A transit authority with a limited AI budget must decide which of three proposed initiatives, predictive maintenance, a rider chatbot, and route optimization, to scale, pause, or terminate. What should primarily drive this decision?
• A county government with limited internal technical capacity is weighing whether to build an in-house benefits-eligibility screening AI tool, buy an off-the-shelf product, or partner with a specialized vendor. Given this constraint, what should guide the decision?
• A school district is considering an AI model to predict which of only 40 at-risk students need tutoring. What should a strategist recognize about this scenario?
• A public-health agency is choosing between building a custom summarization model or buying a vendor's GenAI tool to condense outbreak reports for the public-health director. What tradeoff should weigh most heavily in this decision?
• A housing authority plans to move its spreadsheet-based, rule-based fraud-flagging process onto an AI platform. What should it evaluate before making that transition?
• A municipal utility is ranking three candidate use cases, leak detection, GenAI-drafted customer emails, and meter-reading document scanning, to select the highest-impact option for a limited first pilot. What should determine the ranking?
• A courts and clerk's office with minimal technical staff decides to partner with an outside vendor rather than build an in-house AI tool for records classification. What makes this the appropriate sourcing choice?
• An emergency management agency pauses a predictive resource-allocation AI initiative after discovering its underlying data is not yet reliable enough to support it. What does this decision illustrate?
• A city's 311 program piloted a generative AI chatbot to answer resident questions, then compared it against a simple rule-based FAQ bot handling the same top request types. The rule-based bot matched the chatbot's resolution rate at a fraction of the licensing and compute cost. What is the most defensible next step for the 311 program's leadership?
• A library system scores three candidate AI initiatives with an impact-versus-feasibility framework. Circulation holds-routing automation: high feasibility, low impact, since current workflows already handle it fine. Cataloging metadata-tagging: high impact, low feasibility, since legacy records are too inconsistent to tag reliably yet. A GenAI reference-question triage assistant: high on both, since its data is clean and staff review catches errors first. Which initiative should the library prioritize first?
• Six months into a permitting-assistance AI pilot, a county CIO finds the vendor's platform cannot reliably parse the county's multi-department permit forms, causing frequent manual overrides that erase the promised time savings, and the vendor has no near-term roadmap to fix the parsing limitation. Under these conditions, what is the most defensible justification for the CIO to transition to a different AI platform?
• A city parks department's existing rules engine already assigns seasonal staff to shifts based on straightforward availability and certification rules, with high staff satisfaction and no unresolved complaints. A vendor proposes replacing it with a machine learning scheduling optimizer. What should guide the department's decision?
• A city transportation agency piloted an AI-driven traffic-signal optimization system at 12 intersections for six months, producing measurable, repeatable reductions in average wait time using a documented measurement methodology, with IT confirming it has the monitoring and data-handling capacity to support the system citywide. What best justifies the agency's decision to scale the pilot to all signalized intersections?
• A county social services department is evaluating build, buy, or partner options for a case-prioritization AI tool. Its in-house data science team is small and already stretched thin across other projects. A specialized vendor's platform closely matches the department's workflow but carries a substantial upfront licensing fee, while a peer county is willing to share its own already-customized version of a similar tool through a low-cost collaboration agreement. Given the department's limited staff capacity, which option is most defensible?
• A school district's IT director reviews a proposal for a new GenAI-powered tutoring assistant and finds it would deliver largely the same personalized practice-problem support that the district's existing rule-based adaptive tutoring tool already provides, at significantly higher licensing cost. What is the most defensible recommendation?
• A city AI office wants staff to get more consistent, usable summaries when they ask a GenAI tool to synthesize hundreds of public comment submissions on a proposed zoning ordinance. Which prompt engineering practice would most reliably improve the consistency of the tool's summaries?
• A county clerk's office asks a GenAI tool to summarize a 150-page zoning ordinance document in a single request, and the summary abruptly cuts off partway through, omitting the document's final sections entirely. What most likely explains this behavior?
• A public-health agency wants a GenAI assistant to answer resident questions about current health advisories accurately, and the advisories change on a weekly basis. At a conceptual level, weighing fine-tuning against retrieval-augmented generation, which approach should the agency choose to keep answers current, and why?
• A transit authority is evaluating Amazon Bedrock's Guardrails capability at a strategic level to decide whether it can adequately constrain a rider-services chatbot's responses. Which statement best describes what Guardrails contributes from a business standpoint?
• A housing authority is comparing a managed approach versus a custom approach using Amazon SageMaker AI for a document-processing GenAI initiative, purely at a business-case level. Which comparison correctly frames the tradeoff for its leadership?
• An emergency management agency is assessing the risk that a GenAI assistant could produce hallucinated shelter locations during an active disaster response. Which characterization best captures this risk from a business-risk-management standpoint?
• A municipal utility wants its GenAI assistant to answer customer questions using current policy documents rather than information baked into the model's original training data. Which technique should the utility adopt, and why?
• A courts and clerk's office is defining escalation criteria for its GenAI drafting assistant, specifying when a generated document must be routed to a human reviewer before release. What business purpose do these escalation criteria serve?
• A library system's leadership is evaluating Amazon Quick as an AI-powered business assistant for staff questions, weighing it strategically rather than as a technical rollout. Which framing correctly positions this kind of tool for the library's leadership?
• A 311 program is setting basic prompt engineering guidelines so staff can reliably use a GenAI tool to summarize resident call logs. Which guideline reflects sound prompt engineering practice for this workflow?
• A county administrator's office is preparing to brief the county board on a proposed GenAI agent that will handle routine permitting questions before the board votes on funding approval. To set accurate expectations, the office needs to explain what the agent's "autonomy" and "tool use" actually mean in this context. Which statement correctly describes these two capabilities?
• A school district is weighing two ways to make its GenAI assistant knowledgeable about district-specific curriculum content. One option adapts the model by fine-tuning it on the curriculum; the other pairs a general-purpose model with a retrieval document store that holds the current curriculum materials. Curriculum documents are revised every semester and staff need answers that trace back to the current source material. Which adaptation approach best fits this need?
• A state agency's finance team is estimating the budget for a six-month GenAI pilot that will use Amazon Bedrock, priced on a consumption basis. The pilot's exact usage volume is uncertain, and the team wants a pricing structure that avoids a large upfront capacity commitment. Which statement correctly describes what consumption-based pricing means for the agency's budget planning?
• A parks department's GenAI assistant summarizes long visitor-feedback documents for staff review. Staff notice that when a feedback log runs long, the summary consistently stops partway through and omits the document's later sections, even though the assistant reports no error. After investigating, the department's IT lead traces the pattern to the model's context window limit. Which explanation best accounts for the truncation and points to an appropriate fix?
• A transit authority is piloting a GenAI chatbot that collects rider requests about bus schedules and can propose route changes. Leadership is deciding whether the chatbot should be allowed to publish rescheduled routes on its own once it generates a proposal. Which consideration should most influence the decision to require human oversight before any change takes effect?
• A county IT office is designing the architecture for a resident-services program that spans permitting, tax collection, and library services, each governed by different rules and data sources. The office is weighing a multi-agent orchestration approach, where a separate specialized agent handles each department, against a single monolithic chatbot that tries to cover all three. Which factor most supports choosing multi-agent orchestration for this program?