AITECH practice questions
Cisco · 810-110 · 200 questions
Original practice questions for the Cisco AI Technical Practitioner (810-110 AITECH) exam, covering generative AI models, prompt engineering, AI ethics and security, data research and analysis, development and workflow automation (AI for code and workflow optimization), and agentic AI — framed in civic and municipal scenarios such as city AI pilots, public-health records, and permitting chatbots.
This course contains the use of artificial intelligence.
About the 810-110 exam
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Generative AI Models · 60 questions
- A city clerk needs Monday briefing digests of lengthy council packets and is choosing an AI approach. Which choice best fits a generative language-model use case?
- A county public-health team must turn short policy blurbs into illustrated outreach flyers for clinics. Which generative approach best matches that need?
- A municipal permitting office asks whether its generative stack can help analysts draft SQL helpers for open-data queries. Which use case does that request primarily illustrate?
- A 311 resident-services desk pilots AI to draft multilingual resident notices from English templates. Which generative capability is the pilot primarily exercising?
- A transit authority compares a transformer-based LLM to a classical rules engine for answering free-form rider FAQs. When is the generative LLM family the better fit?
- A water utility wants call-center audio turned into cleaned case notes: speech-to-text followed by an LLM rewrite. What does this pipeline mainly demonstrate?
- An emergency-management office wants realistic but fake example tickets to train new clerks, without using live resident PII. Which generative use is most appropriate?
- A housing authority needs simple program posters and is offered a project to fine-tune a custom vision model. A stock diffusion API already produces acceptable artwork. What is the sound practitioner judgment?
- A public library system wants short press-release drafts built from board meeting minutes. Which generative model use case is this?
- A parks and recreation team wants alternate visual styles for map legends on public dashboards. How should they distinguish generative image tools from GIS analytical tools?
- A municipal courts office asks whether an LLM can replace its statistical epidemic-style models for forecasting case volumes. What is the most accurate practitioner response?
- A fire department IT team catalogs generative AI pilots for the year. Which set best reflects common generative model use cases practitioners should expect?
- A police records bureau handles sensitive resident case notes and does not want that text to leave the city boundary. Which hosting choice best addresses that privacy concern?
- A city open-data portal sees bursty 311 question volume and wants elastic AI capacity without buying GPUs. Which hosting trade-off favors the cloud?
- School-district IT measures chatbot response time for walk-up kiosks at city hall and finds remote cloud inference feels sluggish at peak hours. What hosting insight should guide next steps?
- An airport authority compares annual cloud token spend to a one-time workstation GPU purchase for a steady internal drafting workload. Which cost framing is most accurate?
- A port authority must keep election-night draft communications air-gapped from the public internet. Which hosting approach best supports that isolation requirement?
- After a major storm, a county assessor expects a weekend surge of damage-claim chat questions. Which hosting preference best matches that surge need?
- A public works CIO proposes public FAQs in the cloud and sensitive case-file assistance on local models. What hosting pattern is that?
- An election office rejects local model hosting because overnight patching staff are thin. Which trade-off is the office prioritizing?
- Animal control worries that a cloud vendor might retain municipal prompts containing address and case details. What risk does that concern highlight?
- A solid-waste utility chooses a local small language model for a lobby kiosk because WAN links are spotty. What primarily drove that hosting choice?
- A stormwater bureau must keep inference in an approved region for data-residency rules but still wants managed capacity. Which option best fits?
- A building inspection division scores cloud versus local options for a permitting chatbot on cost, latency, privacy, and scalability. What is the sound evaluation approach?
- Planning commission staff paste an entire zoning-code PDF into one prompt and the model truncates mid-document. What does that behavior indicate, and what should they do?
- A city CIO office notices that a clerk chat assistant gives weaker, less relevant answers late in a long shift as the conversation history piles up. What is the most likely cause to address first?
- A municipal broadband team plans nightly batch summarization of incident logs and must stay inside a fixed monthly inference budget. Which constraint should drive how they size each job?
- A public hospital IT team needs a fixed-context assistant that can still include key ordinance excerpts when answering staff policy questions. What prompt-budget move best supports that goal?
- A veterans services office asks why mid-conversation answers suddenly ignore constraints that were stated clearly at the start of the chat. What explanation should the practitioner give?
- A community development agency wants kiosk replies that residents can scan quickly without long essays. Which response-management control best fits that goal?
- A code enforcement team must analyze a 200-page capital plan with a generative assistant whose context window cannot hold the full document. What practical first step respects token limits?
- A parking authority notices that bilingual English–Spanish prompts and replies use more of the monthly inference allotment than English-only traffic. What should staff understand about the budget impact?
- A convention-center IT group must summarize lengthy council packets and is comparing generative models on a hub. Beyond quality samples, which capacity factor should weigh heavily in selection?
- A parks wildlife unit's public chat often feels slow, and residents abandon the session before a full answer appears. Which response-management approach best improves perceived wait?
- A museum district IT team hits provider rate limits when many staff paste huge conversation threads into the assistant at once. What operational lesson should they take?
- A county jail medical unit trains clerks who over-paste entire mailboxes into the generative assistant. What human practice best respects context windows?
- A social-services intake team browses a model hub for help checking multi-step grant eligibility logic against published rules. Which selection focus best matches that use case?
- A child-protective services IT pilot must accept a sidewalk-damage photo plus a text description in one intake flow. What should they select from the model hub?
- A homeless-services continuum needs low-cost FAQ rewrite for published shelter policies and does not need deep multi-hop reasoning. How should they choose from the hub?
- A public defender IT team is answering ordinance Q&A for staff and sees an image-generation model featured on the hub homepage. What is the correct selection judgment?
- A city attorney office reviews model hub cards before procurement of a generative assistant. Beyond capability metrics, what must the selection filter include?
- A budget office wants internal assistance writing and debugging short automation scripts against published finance APIs. Which hub selection best fits?
- A fleet management team must choose between two similarly marketed hub models for summarizing 311 transcripts. What selection practice is most sound?
- A facilities maintenance group needs reliable extraction of fields from messy work-order text into a structured form. Which model trait should guide hub selection?
- A GIS mapping unit evaluates hub models for a public lobby kiosk that answers basic park-map questions. Why reject an uncensored hobby model?
- A city CISO team must analyze lengthy vendor RFPs with a generative assistant. Which hub metadata should they prioritize when shortlisting models?
- A records retention office building a RAG pilot browses a model hub and sees both chat and embedding cards. What distinction should staff apply?
- An ADA compliance office wants a repeatable way to shortlist hub models for municipal assistants. What practice best documents selection?
- A language-access office is designing a permitting chatbot that must cite adopted ordinances rather than rely on the model's memorized training text. What pattern should they implement?
- A resilience and climate office wants staff to find relevant passages across years of chunked council minutes using meaning, not exact keywords. Which components enable that semantic search?
- An economic-development office’s permitting chatbot keeps quoting the wrong business-license fees until staff load the current fee schedules into the RAG corpus. What does that outcome mainly show?
- A city clerk is chunking the zoning code for embeddings and wants definitions that cross several sentences to stay together. Which design choice best supports retrieval quality?
- A county public-health department compares keyword search with vector retrieval for resident questions that use many synonyms for the same clinic program. Why do embeddings often help?
- After a building-code amendment passes, a municipal permitting office updates the RAG assistant. What operational step most directly keeps answers accurate?
- A 311 resident-services desk needs answers that track frequent policy library updates. Leaders reject fine-tuning the base model for each change. Which approach best fits?
- A transit authority is building a vector corpus for a public FAQ assistant. Which content choice best respects privacy while still supporting grounded answers?
- A water utility wants chatbot answers about outdoor watering rules to show which ordinance sections were retrieved. What RAG benefit does that practice highlight?
- An emergency-management office notices irrelevant parcel records polluting RAG answers about shelter locations. What should practitioners adjust first?
- A housing authority designs RAG for voucher policy Q&A and must pick models from a hub. Which pattern correctly separates responsibilities?
- A public library system needs staff search that finds both paraphrase matches and exact code section numbers in municipal references. Which retrieval approach should they evaluate?
Prompt Engineering · 45 questions
- A parks and recreation department sets the assistant’s role to “municipal permitting specialist” before asking about facility rental fees. What prompt pattern is that?
- Municipal court staff write: “Answer only from the attached fee schedule; if the fee is not listed, say it is not listed.” What core prompt principle does this illustrate?
- Fire department IT adds a prompt rule: never invent parcel IDs; reply “not found” when the ID is missing from provided records. What is the main purpose of that constraint?
- A police records bureau templates clerk prompts as role, then context, then task, then required output format. What does that structure demonstrate?
- A city open-data portal team requires the assistant to return intake fields as JSON with named keys. Which prompt practice are they applying?
- School-district IT configures a public-health FAQ bot with a standing rule: do not give personalized medical advice. What kind of prompt control is that?
- An airport authority requires resident-facing answers written in plain language around an eighth-grade reading level. What prompt element is that?
- A port authority kiosk app keeps standing policy prompts separate from each traveler’s typed question. Why is that layering useful?
- A county assessor’s standing instruction tells the assistant to cite property-tax section numbers when explaining rules. What does that instruction pattern support?
- Public works reviews prompts that omit a role and sees replies flip between curt clerk jargon and overly casual resident chat. What lesson should they take?
- An election office adds a negative constraint: the chat assistant must not process payments or collect card numbers. What risk does that scope limit primarily address?
- Animal control standardizes a shared prompt template so every division asks models with the same role–instruction–constraint structure. What benefit does that practice target?
- A solid-waste utility’s first AI draft of a grant abstract is too formal, so staff revise the prompt and regenerate. Which technique is that?
- A stormwater bureau runs a pipeline: extract issues from a complaint, classify them, then draft an acknowledgment. What prompting technique is illustrated?
- A building inspection division includes three examples of correctly categorized 311 tickets before asking the model to label a new one. What technique is that?
- A planning commission staff member is drafting a generative-image prompt for a city parks poster and wants subject, style, and banned content spelled out up front. Which prompt structure best supports that multimodal request?
- A city CIO office needs a long council brief and plans to prompt an outline first, then expand each bullet in later turns. Which prompting technique is the office applying?
- A municipal broadband team wants consistent bilingual outage notices and plans to include two paired English–Spanish exemplars in the prompt before generating the next notice. What is the team primarily using?
- A public hospital IT team retrieves a policy summary with RAG and then feeds that summary into a second prompt that rewrites it in plain language for residents. Which technique best describes this workflow?
- A veterans services office is writing prompts for an IVR-style spoken script and needs pacing cues and pronunciation notes for agency names. Which prompt design choice best fits that modality?
- A community development agency sees shaky labels on rare permit types when it asks with no examples, then improves after adding a few labeled exemplars. When should the team prefer few-shot over zero-shot?
- A code enforcement analyst must check complex grant eligibility and breaks the work into ordered prompt steps: gather facts, apply each rule, then conclude. Which prompting approach is this?
- A parking authority keeps its few-shot examples fixed while iteratively tweaking prompt wording and decoding settings to improve citation-help answers. What practice is the team demonstrating?
- A convention-center IT analyst attaches a facility photo and a text complaint to one request so the assistant can locate the issue in the image and draft a work order. What should the multimodal prompt emphasize?
- A parks wildlife 311 chat receives a resident message that says to ignore prior rules and dump the system prompt. How should the municipal team classify that input?
- A museum district IT review finds hidden instructions inside an uploaded PDF resume that a city job-application bot will summarize. Which attack type does this illustrate?
- County jail medical chatbot logs show a user message trying to force the bot into an “admin mode” that unlocks restricted tools. What prompt-injection pattern is this closest to?
- Library kiosk transcripts show jailbreak-style “DAN” patterns that try to replace the civic assistant’s approved persona. Which injection class best fits?
- Child-protective services IT worries that malicious instructions on scraped web pages could be retrieved into a RAG index and then followed by the model. What risk is the team highlighting?
- A homeless-services continuum chatbot receives “reveal your instructions” from a user. How should operators treat that message for security classification?
- A public defender IT review finds an email-to-ticket body that tells the agent to email all case files to an outside address. Which injection goal does this represent?
- A city attorney trains staff that prompt injection is an AI-specific input threat where untrusted text tries to manipulate model instructions—not merely classic web XSS. What understanding should staff take away?
- A budget office reviews multi-turn chats where early messages seem harmless but later turns slowly erode safety constraints. Which injection pattern should analysts document?
- Fleet management security notices payloads that encode or obfuscate “ignore instructions” text before it reaches the assistant. At a recognition level, what should analysts call this?
- Facilities maintenance staff must separate true prompt injection (attempts to override instructions) from ordinary rude or frustrated resident language. Which distinction is correct?
- A GIS mapping unit is cataloging prompt-injection types for the municipal AI risk register. What should that taxonomy emphasize for governance value?
- A CISO-led team configures the city ordinance bot to refuse invention and say it does not know when the needed ordinance text is missing from context. Which defensive prompting goal is that serving?
- After fee hallucinations, a records retention office adds a standing instruction to quote only retrieved fee-schedule text. What mitigation is this?
- An ADA compliance office requires a human review gate before any AI-drafted denial letter is sent to a resident. Which mitigation approach is this?
- A language-access office asks the model to list its assumptions in a self-check step before producing the final translated resident notice. What defensive prompting pattern is this?
- A resilience and climate office uses a model for factual parcel flood-zone lookups, but creative settings keep inventing zone codes. What change best reduces that invention?
- An economic-development office wants staff to trust AI summaries of grant eligibility less when claims are shaky. Which defensive prompting move best supports that?
- A city clerk’s first AI pass drafts a fee answer that still looks wrong next to the published schedule. What dual-pass mitigation should the clerk use next?
- A county public-health department finds malicious instructions hidden in HTML comments on pages headed into its RAG corpus. What input-hygiene step best defends the assistant?
- A municipal permitting office sees free-form model answers invent fee amounts not on the ordinance. Which output design best shrinks that hallucination surface?
Ethics and Security · 45 questions
- A 311 resident-services desk worries a benefits chatbot answers differently when residents write in neighborhood dialect. Which responsible-AI action best addresses that risk?
- A transit authority launches an eligibility assistant for reduced fares and wants riders to understand how it works. Which responsible-AI practice best supports transparency?
- A water utility begins using model scores to help prioritize housing waitlist outreach. What accountability practice should leadership establish first?
- An emergency-management office co-sponsors a youth library chatbot and must keep it from giving self-harm advice. Which responsible-AI control best matches that safety need?
- A housing authority notices its AI help examples and evaluation sets are almost all English. What bias-mitigation step best improves language-access equity?
- A public library system uses AI to flag possible code violations in reserved meeting spaces. Which accountability practice keeps residents able to contest those flags?
- A parks and recreation department deploys a flood-risk summarizer for planners. How should it practice transparency about known limits?
- Municipal courts staff want to know whether a permit-timing predictor errs more in some ZIP codes than others. Which fairness evaluation practice should they use?
- A fire department IT team is asked to let an AI deny resident assistance benefits with no human review. What responsible deployment boundary should they set?
- A police records bureau is drafting AI use principles for internal summarization tools. How should those principles connect to existing city policy?
- A city open-data portal team hears its chatbot sometimes stereotypes neighborhoods. What bias-discovery practice should they run?
- School-district IT notices staff justifying poor decisions with “the model said so.” What accountability message should training reinforce?
- An airport authority finds staff pasting case notes that include Social Security numbers into a public AI chat tool. Which privacy control best stops that exposure?
- A port authority must summarize meeting transcripts with a cloud model but wants to limit personal data leaving the agency. Which preprocessing step best protects privacy?
- A county assessor’s office wants technical controls when staff paste medical record numbers into AI prompts. Which security control best fits?
- A public works yard needs Q&A over juvenile-related records and cannot accept consumer-cloud training on that text. Which hosting choice best serves privacy?
- An election office is selecting a generative AI vendor for internal drafting. Which contractual privacy review should it prioritize?
- An animal-control division stores internal policy drafts as embeddings in a vector database used by staff AI search. How should it protect that data at rest?
- A solid-waste utility shares one long-lived AI API key across teams, and a contractor just left. What access-security practice should it adopt?
- A stormwater bureau finds unapproved browser extensions sending clerk-screen text to outside AI services. What control best prevents that uncontrolled leakage?
- A building inspection division builds a simple permit-status FAQ bot and must decide which case fields to send to the model. What privacy practice should guide that design?
- Planning commission staff maintain both public open-data corpora and confidential case corpora for AI retrieval. What control best protects sensitive civic data?
- A city CIO office finds staff pasting resident data into consumer chatbots that are not city-approved. Which organizational security control addresses that risk?
- A municipal broadband team operates an AI assistant that can retrieve resident account PII for authorized clerks. What control best supports auditability of that access?
- Public hospital IT worries that a forged AI-generated voice could spoof emergency alert messages to staff. Which AI-specific risk is that primarily describing?
- A veterans services office notes that attackers can hide instructions inside user text to override a benefits chatbot’s rules. How should they distinguish that threat?
- A community development agency finds chatbots telling residents that emergency shelters are closed when they are open. What AI-specific risk does that illustrate?
- Code enforcement considers letting public form uploads enter a continuous training set for a citation-triage model. Which AI-specific risk should they assess first?
- A parking authority worries that crafted adversarial prompts could pull internal enforcement-policy text out of an assistant that has that corpus in context. What threat is that?
- Convention-center IT publishes AI-generated promotional images for public events. What practice best reduces deceptive reuse of those visuals?
- A zoo and parks wildlife unit notices staff trusting fluent AI summaries of wildlife ordinances that later prove incorrect. What risk should leadership highlight?
- Museum district IT is planning the annual cybersecurity tabletop exercise. How should they treat AI-specific risks?
- A county notices mass AI-generated fake comments flooding a zoning hearing portal. Which AI-specific risk does that primarily represent?
- Social-services intake security training must separate traditional malware risk from generative content risk. Which statement captures that distinction?
- Child-protective services IT monitors public kiosks that run a filtered AI helper. What AI security risk should they watch for?
- A homeless-services continuum briefs leadership on deepfake videos falsely portraying officials canceling winter shelter funding. Why is that briefing relevant to AI ethics and security?
- Public defender IT is drafting rules for how attorneys may use generative AI with case materials. What does an effective AI governance policy typically define?
- A city attorney office wants AI pilots tracked like other enterprise initiatives. What risk-management practice supports that goal?
- A budget office is preparing to launch a resident benefits chatbot. What compliance step should governance require before go-live?
- Fleet management wants departments to stop spinning up shadow GenAI pilots without review. What governance mechanism helps?
- Facilities maintenance proposes an AI assistant that may touch employee health-accommodation records. What governance gate is most appropriate?
- A GIS mapping unit’s AI tool can suggest parcel designations that may affect property rights. What governance control should be defined?
- The city CISO team wants AI problems such as data leakage or biased outcomes handled consistently. What governance practice supports that?
- A records retention office is evaluating vendors for a generative AI records assistant. How should procurement support AI governance?
- An ADA compliance office owns a production accessibility chatbot whose model and prompts change over time. What governance practice should they set?
Data Research and Analysis · 30 questions
- A language-access office asks an LLM to suggest patterns in anonymized 311 category trends before analysts dig deeper. What role is the model playing?
- A resilience office wants AI to propose chart types for seasonal water-usage spikes during early exploration. Which use best matches AI’s role in EDA?
- An economic-development analyst chats with a notebook assistant to summarize outlier inspection times in a civic dataset. What capability is this mainly demonstrating?
- A city clerk uses AI to generate hypotheses about why permit lag differs by district during an exploratory review. What is the appropriate expectation?
- A county public-health team asks AI which fields look correlated in open crash data and forbids causal language in the reply. What EDA discipline is being enforced?
- A municipal permitting office uses AI to narrate a first-pass profile of missingness in resident survey fields. What EDA outcome is this targeting?
- A 311 resident-services lead rejects an AI message that ‘confirms’ a budget cut solely from a chat summary of ticket volumes. What limit of AI-assisted EDA does this illustrate?
- A transit authority prompts AI to list unusual ZIP codes in response-time distributions for human follow-up. What EDA contribution is intended?
- A water utility uses AI to flag missing parcel IDs before merging zoning layers. Which automated data-preparation step is this?
- An emergency-management office uses AI assist to standardize mixed date formats across legacy permit CSVs before analysis. What preparation task is primary?
- A housing authority cleans free-text address fields with AI assistance before geocoding work orders. What data-preparation goal does this serve?
- A public library system uses AI to suggest near-duplicate resident tickets before merging records. What preparation quality task is this?
- A parks department asks AI to transform mixed unit strings such as “ft” and “feet” into one canonical unit before trail analysis. What prep capability is this?
- Municipal courts validate categorical case-status codes against an allowed list with AI-assisted checks before loading a warehouse. What preparation control is this?
- Fire department IT uses AI to rewrite messy inspector notes into structured severity fields for later analysis. What preparation pattern is this?
- A police records bureau refuses to auto-impute sensitive health-related fields with AI without policy approval. What preparation boundary is being applied?
- A city open-data team strips direct identifiers before sending a dataset to a cloud EDA assistant. What control against data exposure is this?
- School-district IT forbids uploading juvenile case extracts to consumer AI tools for analysis. What privacy boundary is this enforcing?
- An airport authority demos an analytics dashboard to an external vendor using synthetic aggregates instead of live traveler details. What privacy-preserving practice is this?
- A port authority reviews AI prompts and outputs that might echo rare facility addresses from an analysis extract. What risk are they primarily mitigating?
- A county assessor limits AI-assisted analysis of parcel extracts to the stated grant-evaluation purpose only. Which ethical constraint is this?
- Public works keeps raw PII on-premises while an AI analysis job receives only hashed cohort features. What technical exposure control is this?
- An election office logs who exported AI analysis artifacts that still contain quasi-identifiers. What control does this primarily provide?
- Animal control brainstorms outreach slogan options for a pet-licensing campaign with generative AI, then staff pick and fact-check the final lines. What Domain 4 use is this?
- A solid-waste utility drafts a first-pass literature scan summary on heat-resilience tactics with AI, requiring analysts to verify primary sources before planning use. What practice is this?
- A stormwater bureau wants help drafting FAQ content for a new composting ordinance before publishing it on the city site. How should staff use AI for this task?
- A building inspection division asks an LLM to brainstorm workshop agenda ideas for community budget nights. What is the most appropriate use of AI here?
- A planning commission staffer has bullet research notes and needs a readable briefing for council. What AI-assisted drafting approach fits best?
- A city CIO office wants denser RFP language rewritten in plain language for small vendors. How should AI support that content drafting goal?
- A municipal broadband team uses AI to summarize external research on fiber grant programs. What practice should they require afterward?
Development and Workflow Automation · 20 questions
- A public hospital IT team is starting a 311 mobile app and finds stakeholder requirements ambiguous. How can AI best help in this SDLC phase?
- A veterans services office wants early screen concepts for a permit tracker. Which AI use supports prototyping in the SDLC?
- A community development agency is implementing validation rules for an online grant form. How should AI assist during implementation?
- A code enforcement team needs broader coverage of residency eligibility logic before release. What AI role fits the testing phase?
- A parking authority is releasing a resident chatbot and needs deployment hygiene. How can AI support the deployment phase?
- A convention-center IT group wants to map where AI can help on a grants portal from requirements through deploy. What understanding should guide them?
- A parks wildlife unit used AI to draft automated tests for a volunteer signup app. Why should they still run human UAT?
- A museum district IT team uses AI during sprint planning to review a feature list for a ticketing upgrade. What requirements benefit should they seek?
- A county jail medical unit wants clearer communication after merges for a clinic scheduling tool. How can AI help late in the SDLC?
- A social-services intake team uses AI differently in discovery than in production hardening for a benefits portal. What principle should guide that difference?
- A child-protective services IT group must show auditors where AI influenced artifacts on a benefits eligibility system. What practice supports that need?
- A homeless-services continuum uses AI to prototype a shelter vacancy board. What sequencing reflects responsible SDLC practice?
- A public defender IT analyst needs a quick script to convert a permit CSV export to GeoJSON for a map demo. How should AI code generation help?
- A city attorney office wants a proof-of-concept chatbot UI for permitting FAQs. What AI capability fits this need?
- A budget office needs a quick integration prototype against a city open-data API. How should they use AI code generation?
- A fleet management shop wants a weekend demo of a parks reservation helper for Monday stakeholders. What AI benefit are they seeking?
- A facilities maintenance team receives AI-generated authentication code for a work-order portal prototype. What boundary should they enforce?
- A GIS mapping unit wants exploratory SQL for an open-data mashup prototype. How should AI code generation be used?
- A cybersecurity team supporting elections needs a multilingual ballot-info page mockup for an accessibility walkthrough. What AI prototyping approach fits?
- A records retention office has a clerk’s spreadsheet macro idea for folder naming and wants a first script draft. How should AI help?
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