Modeling, Analysis, and Outcomes (24%)
DY0-001 · 72 questions
- A retail pricing team wants to judge whether store-level margin values line up with a normal reference by comparing quantiles rather than bin counts. Which display makes that comparison?
- A media team wants the full density shape of watch time, not only the quartiles, drawn separately inside each content genre. Which display shows that shape?
- A utility analyst has dozens of numeric sensor streams from one plant and wants a compact view of how strongly each pair moves together. Which display is that summary?
- A city agency wants to see whether emergency-call response time in minutes rises with distance in miles, using one point per call. Which chart shows those two continuous measures together?
- A hospital wants to compare emergency-department wait times across three shifts and to show the median, the quartiles, and the waits that sit far from the rest. Which display does that?
- A hospital laboratory has several numeric lab measures on each admission and wants one view of how every measure relates to every other measure. Which display provides that view?
- A hospital analyst wants to see how length of stay, measured in hours, is spread across one year of adult admissions. Which display shows the distribution of that single continuous variable?
- A municipal water utility wants a first look at daily treated volume across a year and needs the days kept in calendar order. Which display should the utility start with?
- A permitting agency stores whether an application is complete, recorded as yes or no, and how many inspections that application received, which may be zero, one, two, or more. How do those two fields differ?
- A retail bank stores a five-level service rating from poor to excellent and the product name on the account, such as checking, savings, or card. How should analysts treat those two fields?
- A utility forecasts the next day's peak load and includes a column that holds the peak from the day before the row being predicted. On today's row the column is yesterday's peak, and the column is not the peak the forecast is trying to produce. What is that column?
- A steel mill wants to show how tons of incoming material move from supplier categories into product families and then into finished coils or scrap. Which display is built for that question?
- A benefits agency must chart two things: how many applications fall in each program, and how processing time, a continuous measure in hours, is distributed. Which pairing of displays is appropriate?
- A logistics team models delivery time using both route miles and the same route converted into kilometers. A correlation view shows those two predictors moving almost in lockstep, and the fitted coefficients jump sharply when either column is dropped. What problem does that view show?
- A hospital's daily occupied-bed census drifts upward for months. Analysts replace each day's level with that day's census minus the prior day's census, and the new series no longer shows the same steady climb. What did that replacement do?
- An agency plots permit-processing hours against application complexity and sees a smooth curve that rises quickly and then flattens. The fitted model is a single straight line through that cloud. What is the fit failing to capture?
- An agency plots grant amount against review hours. One application sits near the middle of the grant-amount axis and near the middle of the review-hour axis, yet no other application pairs a mid-size grant with that many hours. What kind of odd point is this?
- A hospital plots monthly emergency arrivals across several years. The average level climbs steadily, and the month-to-month spread widens in the later years. A forecasting notebook still treats the level and the spread as constant over time. What property is being ignored?
- A bank builds a matrix of merchant-category flags for cardholders, and for any single category almost every cardholder has a zero. An analyst still pictures every flag as a mostly filled column and quotes an ordinary average as if zeros were rare. What property of this matrix is being missed?
- An agency tracks monthly caseload. Leadership asks whether the caseload is rising or falling, not how large it is right now. The analyst can store the caseload level or the month-to-month change. Which statement about those two features is correct?
- A hospital builds a matrix with a row per encounter and a column per diagnosis code. Nearly every cell is zero, because each encounter uses only a few codes, and storing every zero wastes space. Which storage approach fits this matrix?
- A bank must decide which small-business applicants are likely to default within a year, but the modeling extract contains only branch city and the hour the application was typed. No credit, income, or repayment field is included. What data problem blocks that decision?
- A bank fraud desk plots daily card disputes and sees the same mid-month spike in every month for two years, plus one extra spike in the single week a new card product launched. An analyst describes both shapes with one label. Which description separates them correctly?
- An apparel retailer sees residuals fan out as predicted demand grows. Sales are positive, and the team wants a procedure that tries several powers of sales and keeps the power that steadies the spread. Which procedure is that?
- A power utility replaces each exact meter reading with a band such as low, medium, or high before training. Two homes in the same band become identical even when their readings differ. What did that step do?
- A water utility models monthly household use. When household size doubles, use tends to multiply by a similar factor rather than rise by a fixed amount, and a straight line on the raw use bends. Which transform matches that pattern?
- A telecom analyst builds one row per customer day and places that day's call count in the same row as the churn rate for the entire month. The model then treats the two numbers as facts about the same grain. What is wrong with that row?
- A pediatric hospital models length of stay from age and a surgery flag. Age has a much steeper link to stay for surgical patients than for other patients, and adding the two effects separately misses that pattern. Which added feature lets the two inputs matter together?
- A community hospital stores the admitting ward as a text label with no natural rank, such as emergency, surgical, or maternity. A linear model needs numeric columns that mark which ward a patient came from without treating one ward as larger than another. Which encoding builds those columns?
- A city permitting agency stores the filing department as a name with no rank, such as parks, health, transit, or finance. A pipeline replaces each name with a single integer and feeds those integers to a linear model. What did that encoding do wrong?
- A telecom fiber team balances a rare-outage table by synthesizing extra outage rows from patterns already present in the sample. The class counts now match. Which limitation still holds?
- A hospital laboratory wants each numeric assay mapped onto the fixed range from zero to one, using that assay's minimum and maximum in the training extract. Which scaling does that?
- A factory bottling line wants each sensor feature recentered at zero and rescaled so that a value of one means one standard deviation above that sensor's own mean. Which transform is that?
- A hospital staffing model already meets the error target on the holdout set. A deeper model would take much longer to train and improves that holdout result only by a tiny amount. Which conclusion follows?
- A warehouse scanner must receive a pick-path score before it moves to the next bin. One model is more accurate but cannot return an answer inside that window. Which conclusion follows for the scanner step?
- A retail clothing chain wants one feature that puts weekly revenue and selling-floor area on a single scale, so a small high-earning shop can be compared with a large low-earning shop. Which engineered feature does that?
- A logistics parcel carrier has street addresses for delivery stops and needs latitude and longitude before routes can be drawn on a map. Which enrichment produces those coordinates?
- A telecom provider stores one row per household per month, with the month name sitting in a column. Analysts need one row per household and a separate usage column for each month. Which reshape does that?
- A utility models monthly household energy use. On a plot of residuals against fitted values, the cloud spreads out like a fan as the fitted value rises. What does that shape mean?
- A bank must deliver a fraud model before a fixed regulatory filing date. One candidate looks slightly stronger in a published write-up, but training cannot finish before that date. Which conclusion follows for this delivery?
- A public agency wants a vision model that the write-up says needs several graphics accelerators. The agency has only ordinary processors and cannot add accelerators before the work is due. Which conclusion follows for this delivery?
- A hospital can spend only a fixed amount to train a readmission model. A second model is slightly more accurate, and its training bill exceeds that cap. Which conclusion follows?
- A housing agency tunes a model that predicts which vouchers will lapse. Analysts adjust parameters, check the final holdout after every change, and then report that holdout score as an unbiased estimate. What should they have done with the holdout instead?
- A public-health agency plans to rank restaurants for inspection. The team is ready to spend a week tuning hyperparameters, but nobody has written which inspection decision the ranking must support. What should happen before that tuning week?
- A hospital screen flags patients for a rapid-response review. Missing a true deterioration costs far more than an extra review, yet the team ranks candidate models by accuracy because accuracy is the notebook default. Which metric choice fits this decision?
- A bank team wants a new neural network for card-fraud alerts. Published studies already report how logistic regression and gradient-boosted trees score on the same public fraud tables with the same alert metric, and the team has not read those results. What should the team do before designing a new architecture?
- A retail demand model posts a strong overall accuracy but misses a required specification that error during promotional weeks stay inside a pre-agreed bound. The team wants to recommend it on the overall number alone. What should govern that call?
- A utility team tried many outage models, checked the final holdout after every try, and now wants to quote that same holdout as an unbiased score of the winner. What is the proper use of a final holdout?
- A utility's new outage-duration model beats a flat historical average, but the control room's existing dispatch rules still produce shorter outages on the same recent cases. What should a recommendation require?
- A telecom team retrains a churn model several times a week. Last month's best run cannot be rebuilt because nobody recorded which extract, which code commit, or which parameter set produced it. What should each run record so that result can be rebuilt?
- A bank has searched learning rate, penalty strength, and class weight inside one logistic-regression family for loan-default risk. The features are already limited to what the credit policy can supply, and the held-out metric has stopped moving. What is the sensible next design step?
- A hospital model of unplanned readmission matches the training charts closely, yet on new visits it loses to a rule that predicts the ward's historical readmission rate. What must a candidate show before it is recommended?
- An agency fits a straight line relating case-processing days to case complexity, then plots residuals against complexity and sees a clear U-shaped curve. What does that curve mean?
- A city agency wants a score for permits likely to be abandoned. The strongest lab model needs the applicant's private credit score, which the agency is not allowed to collect. A model using only fields already on the permit form still beats the clerks' current review. What should the team recommend?
- A hospital model flags readmission risk. On the visits it was trained on, it looks far better than the ward's current rule. On a later week of visits held out of training, that gain disappears. What should the team report as the result?
- A utility must decide whether to roll a truck for a suspected outage. After a new alert launches, app logins rise, but logins do not change which trucks roll or which calls are real. Which response to that login count fits the decision?
- A hospital ward uses skin-temperature probes that physically clip at the top of their rated range, so hotter readings never appear in the feed. A modeler asks whether a software setting can lift that ceiling. Which statement describes the limit?
- A bank fraud team sees accuracy stay high because almost every card transaction is legitimate, while a missed fraud costs far more than a false alarm an analyst reviews. How should the team choose between candidate models?
- A hospital briefing says average length of stay fell this quarter. Split by ward, surgical stays fell while intensive-care stays rose. What goes wrong when the briefing leads with only that average?
- A factory planning lead asks for a forecast of next week's scrap so the plant can set inspection staffing, and in the same note asks for chart colors that match the plant brand guide. Which request is the business need?
- A public-records agency compares two classifiers for routing incoming mail. The more accurate model needs a GPU cluster the mailroom cannot host this year. The simpler model runs on the existing scanners and still beats the manual sort used today. Which result should the team recommend for this year's routing?
- A logistics analyst must tell the operations director whether to add a night sort and must tell peer analysts how the sample and the checks were built. How should those two writeups open?
- A utility shows regulators an outage chart that keeps only three winter weeks when repairs were fastest and drops the rest of the year, when outages ran longer. What is wrong with the displayed window?
- A hospital staffing board paints overloaded wards red and stable wards green, with no change in shape, pattern, or text. Several readers cannot tell those colors apart. What about this board fails those readers?
- An agency line chart draws forty grant programs at once. Leadership asked to compare only two of those programs, and the other lines bury that pair. What change makes the requested comparison readable?
- A bank risk report shows the monthly charge-off rate, which only edged up. The vertical axis starts just below the lowest point, and leaders read the line as a sharp deterioration. Which chart choice creates that exaggerated impression?
- A city agency plots shelter occupancy on a left axis and overnight temperature on a right axis. The lines cross, and a briefing claims occupancy overtook temperature. Why is that comparison unsupported?
- A hospital portal shows laboratory trends directly to patients. The values use very small type, and the trend line is pale gray on a white background. Patients say they cannot read the figures. Which failure does this design have?
- An agency must give a partner an extract of grant records. The partner missed the meeting where field meanings, units, and collection rules were explained. What has to travel with the rows so the partner can use the extract correctly?
- A telecom churn pack no longer matches last month's edition. The definition of an active line was narrowed, and the scoring model was retrained on newer history. Readers need a record of what moved, not a restatement of every field that stayed put. What should accompany this edition?
- In a bank's monthly delinquency pack, two readers treat one column differently: one counts days past due, and the other counts accounts already charged off. What should accompany the pack so each field has one meaning?
- A bank wants to compare median lobby-wait minutes, a magnitude, across five branches, a category. Those five medians are separate summaries, not slices of one whole, and the branch names have no time order. Which chart matches the fields?