Fundamentals of Generative AI

AIF-C01 · 72 questions

• A high-school playbill desk pastes a long safety script into a writing assistant and is billed by pieces of text, not by number of documents. The bill is not counting meaning-vectors and is not the size of the model's working memory. What unit is the desk being billed for?
• A marina's 200-page slip-policy binder will not fit in one model sitting. Staff split it into overlapping passages before anyone builds a prompt or a retrieval index. They are not training a new model and are not turning the pages into meaning-vectors yet. Which step is this?
• A used-record shop wants albums that mean something like a liner-note blurb, not albums that merely share three keywords. The shop is not asking for the model's working-memory size and is not asking for raw word pieces. Which representation should they use?
• Two CSA-farm newsletters use almost none of the same words, yet a search tool places them next to each other in vector space and treats them as related. What does that nearby placement mean?
• A zoo-sign intern keeps getting unusable plaque drafts until they add a role, a length constraint, and an example of the desired format. They do not change any model weights. Which craft is this?
• A weekly shopper-paper editor notices that a writing assistant can tell whether bank means a river edge or a cash window by looking at the other words in the same sentence. The editor is not asking for a math proof and is not generating a rival image from noise. Which idea explains that behavior?
• A scout-council vendor offers a large model already pretrained on broad internet-scale data. Later the council can point that same starting point at captions, labels, or Q&A. The offer is not a one-column predictor of badge sales. What kind of model is this?
• A bakery-recipe desk later buys a model that only reads and writes text at high quality. A designer on the team calls it a diffusion image model. Which statement keeps the names straight?
• A bicycle-share depot wants one model that can look at a photo of a bent wheel and read the mechanic's typed note, then draft a shop email. They do not want a text-only chat, and they do not want a utility that only extracts printed letters from the photo. Which model type fits?
• A community-theater shop wants original poster illustrations from a short text description. They already have last year's poster and do not want a class label on that existing photo. Which generative approach fits?
• A quilting guild needs five original block drawings from a short brief and has no photo-shoot budget. They are not asking anyone to label the photos of last year's quilt. Which use case is this?
• A swim club wants a short original lane-briefing audio clip from a text description. They already have last meet's recordings and do not want those files turned into a transcript. Which use case is this?
• A school-board facilities packet is 40 pages. Supervisors want a one-page brief they can read in the parking lot. They do not want the pages grouped into unlabeled piles and they do not want a new illustration of the building. Which use case is this?
• Choir librarians want a chat helper that answers where do we keep the rental scores from the section-leader handbook. They are not asking for next month's attendance number. Which use case is this?
• A marina needs a Spanish cover letter that keeps the original bullet structure and tone of an English slip notice. A separate job will convert the legal fee table word-for-word with a dedicated translation service. Which statement is accurate?
• A creamery intern describes, in English, a needed script that will clean tank-log spreadsheets. They want a first-draft program, not a grouping of unlabeled file names. Which use case is this?
• A zoo gift shop wants an after-hours helper that can answer hours questions and start a refund request. They already have poster art and do not want another drawing model. Which use case is this?
• An orchestra librarian types a question and wants a short answer assembled from the instrument-loan handbook, not a page of ten blue links and not a new numeric predictor. Which use case is this?
• A community seed library wants each suggested variety to arrive with a one-sentence why this fits you blurb, not only a ranked ID list from a classical recommender. Which use case is this?
• A transit-union bulletin team has not trained or prompted yet. They still must decide which internal notices are allowed as source material and which publicly hosted foundation model they will start from. A vendor says skip that and deploy on Friday. Which statement is accurate?
• One vendor describes a huge unlabeled-text run that taught a model general language. Another describes a smaller labeled run that taught that same model the scout-handbook caption style. Which pairing names those stages?
• A tool-library late-notice writer wants to send a new foundation model to every branch because a demo sounded nice. No one has scored it against real overdue letters. What should the team insist on?
• After go-live, school-board staff mark generated facilities replies as too vague or missing the building code cite. The team treated the lab score as finished work. What should those marks become?
• A swim-club FAQ bot gets expensive after members paste entire handbooks into the prompt. Replies also get slower and drop useful club rules. Which explanation is accurate?
• An ice-rink desk learns that a good ice-time draft depends less on a smarter model and more on which ice-time table, skate-size note, and policy snippet they place around the question. They are not rewriting model weights. Which craft is this?
• A carnival incident desk splits one closure job across three helpers: one reads ride-log notes, one drafts the public notice, and one checks the inspection number. Leadership is not asking for three separate attendance predictors. Which pattern is this?
• A tool-library agent needs a standard way to reach the reservation database and the calendar without a one-off integration for each model vendor. The team is not asking anyone to write protocol code on the exam. Which idea is this?
• A choir-library helper must remember that a household already borrowed the Messiah score, call the inventory tool, and then send the pickup message in that order. Which pairing names those three needs?
• The same foundation model that drafted an ice-rink closure notice yesterday drafts a snack-bar menu today after only a new prompt. Nobody built a new labeled dataset. Which advantage is this?
• Swim-club members read a lane-closure bulletin and then ask follow-up questions in plain language. They get an immediate reply each time. Which GenAI strength is this?
• A quilting guild needs twenty original social captions from one fabric fact sheet. They are not asking anyone to group last year's captions into unlabeled piles. Which advantage is this?
• A locksmith chatbot invents a plausible cylinder torque that never appears in the shop manuals. The sentence reads fluently. The manuals did not drift, and the model is not being scored on a twelve-row training set. What limitation is this?
• A fire-grant officer cannot list the three fields that caused a generated deny this hose request paragraph the way they could with a small decision tree. Which GenAI limitation is this?
• A parks assistant still describes last year's trailhead kiosk after the county moved it. The new location is in a posted notice the model was not given. The lab GPUs are healthy. Which limitation is this?
• The same school-board facilities prompt yields two different phrasings on two clicks and breaks a reply template legal already signed. Which limitation is this?
• A quilting shop needs original block drawings. A school-board clerk needs long-form policy prose. A bicycle-share depot needs one model that accepts a wheel photo plus a typed note. A vendor says pick whichever brand the intern already likes. How should the team choose?
• A zoo gift-shop kiosk must answer hours questions in about one second. An overnight rewrite of the volunteer handbook can take several minutes. Which factor should drive the model and hosting choice?
• A swim-club bot answers what time do lanes open about a thousand times a day. The question is simple. A vendor offers the most expensive frontier model for every turn. Which choice fits?
• A creamery's shift logs include employee IDs that must stay in one region and must not be used to train a vendor's public base model. A demo from another region was funnier. Which constraint should win?
• A school-board office needs a model that can read a 40-page facilities pack in one sitting and then call a calendar tool to hold a room. A tiny model with a short context window is on sale. Which statement is accurate?
• A three-person scout-council staff can call a managed foundation-model API. They cannot babysit a self-hosted stack after camp season. Which factor should decide how the model is offered?
• A community-theater helper writes clever Saturday-show blurbs, but paid overtime did not drop and the theater did not add a second show. Which measure should leadership ask for?
• A choir board introduced a meeting-notes summarizer and now tracks minutes saved per draft. They are not tracking a lab translation score. Which kind of metric is this?
• A tool-library chat is judged by how often a browser adds a paid weekend reservation. The team is not judging it by BLEU. Which value metric is this?
• A marina snack-dock bot is judged by whether slip-holders who chat spend more per visit than slip-holders who do not. Which official business metric is this?
• A tool-library FAQ helper is scored on the share of answers a reviewer marks factually correct. Leadership treats that share as the success target. They are not asking for a homework confusion matrix. Which metric is this?
• A choir keeps a chat helper because members who use it renew next season at a higher rate than members who do not. The board is not judging the helper by one-session novelty. Which metric justifies keeping it?
• The same foundation model drafts ice-rink closure notes well and drafts creamery allergen cards poorly, run after run. A vendor says one FM is equally good at every business domain. Which statement is accurate?
• A scout council must post badge-fee totals to a statutory ledger. The amount has to match the published table exactly. A vendor offers a creative GenAI number that is usually close. Which action should the council take?
• A fire-grant office may use a model to draft a denial letter but will not send it until a reviewer checks it. A fabricated statute cite is unacceptable. A vendor says just raise temperature. Which control fits?
• A quilting-shop app team wants to call several foundation models through an API and does not want to stand up training clusters. Which AWS service matches this job?
• A creamery has a private 12-year pasteurizer-fault log and needs to train and host its own predictor. Prompting a public foundation model is not enough. Which AWS service matches this job?
• A scout-council lab wants to browse and try pretrained models, then optionally adapt one, without starting from random weights. They are not asking for a BI dashboard. Which AWS capability matches this job?
• A community-theater director wants to ask natural-language questions of ticket and concession tables and see dashboards. The director is not asking to train a new foundation model. Which AWS offering matches this job?
• A three-person swim-club software pair wants an AI-assisted IDE to help write and wire a GenAI prototype. Production visitors will not call a model through this tool. Which offering matches this job?
• An ice-rink software pair wants to define multi-agent roles and tool use in application code, then host that design somewhere later. They are not asking for the managed runtime in this step. Which offering matches the build-the-logic job?
• Those ice-rink agents now need a secure, scalable place to run, keep session memory, and call tools without the pair babysitting servers. They are not asking for a ticket dashboard. Which offering matches this job?
• A quilting-shop educator has no ML team and still wants a handbook Q&A helper this month. Which AWS GenAI-service advantage lets them ship by calling a managed foundation model?
• A zoo has six weeks before a new exhibit opens and needs a visitor-FAQ helper. Which path best meets that calendar?
• A scout-store chatbot is busy only around camp-signup week and is quiet the rest of the year. The store does not want idle GPU servers in January. Which cost approach fits?
• A creamery already has approved AWS identity, logging, and regional controls and wants its GenAI helper to inherit those instead of a shadow laptop stack. Which Domain 2 advantage is this?
• A fire-grant office wants generation to run on infrastructure that already supports access control, audit, and safety practices. A vendor offers an unmanaged laptop demo instead. Which infrastructure benefit should win?
• A swim-club helper echoes entire handbooks back to the model on every hours question. The bill jumps even though the answers stay simple. Which cost tradeoff is this?
• A tool-library kiosk cannot miss the 9 a.m. Saturday rush. A hobbyist newsletter writer can wait if a reply is slow. Which pairing of capacity styles fits?
• A bakery wants a private recipe-card voice and is told that fine-tuning a custom model costs more up front than prompting a stock foundation model. Which statement is accurate?
• A fire-grant office must keep constituent letters in an approved AWS Region. Another Region has a newer foundation model. Which hosting choice is correct?
• A carnival Saturday helper must stay up if a single Availability Zone hiccups during the storm-day rush. Which infrastructure choice fits?
• A zoo kiosk can use a smaller, faster model that answers in time, or a larger model that writes prettier sentences two seconds later. The line is already moving. Which tradeoff should the team make explicit?
• A Bedrock team wants an Amazon-offered foundation-model family for text or multi-modal work and must not invent a fictional AWS model name. Which in-scope family can they recognize?
• The same week, a municipal greenhouse needs a prompted foundation model in an app, a custom-trained wilt model, and a director dashboard of weekly detections. Which mapping is accurate?
• One intern wants to try a pretrained model. One wants a production runtime for agents already written. One wants an AI-assisted IDE. Which mapping is accurate?
• A three-volunteer quilting-board wants visitor Q&A this season. A year-long custom research project would miss the show. Which reason to use managed AWS GenAI services is accurate?