CertNexus CAIP (AIP-210) Certification Sample Questions
The purpose of this Sample Question Set is to provide you with information about the CertNexus Artificial Intelligence Practitioner exam. These sample questions will make you very familiar with both the type and the difficulty level of the questions on the AIP-210 certification test. To get familiar with real exam environment, we suggest you try our Sample CertNexus CAIP Certification Practice Exam. This sample practice exam gives you the feeling of reality and is a clue to the questions asked in the actual CertNexus Certified Artificial Intelligence Practitioner (CAIP) certification exam.
These sample questions are simple and basic questions that represent likeness to the real CertNexus AIP-210 exam questions. To assess your readiness and performance with real time scenario based questions, we suggest you prepare with our Premium CertNexus CAIP Certification Practice Exam. When you solve real time scenario based questions practically, you come across many difficulties that give you an opportunity to improve.
CertNexus AIP-210 Sample Questions:
01. One churn-risk score is to be used by two teams. A retention team will send a discount offer to every customer above the cut-off, and a service team will schedule an engineer visit for the same customers. A discount costs a few units of margin; a visit costs several hours of a scarce technician.
What does this arrangement most directly require of the design?
a) The service team should receive only the highest-scoring customers, because engineer time belongs where the model is most confident
b) Each team needs its own model, because a single model cannot be optimized for two objectives that carry different error costs
c) Each team needs its own operating threshold on the shared score, because the cost of acting on a false positive differs between them
d) The score should be recalibrated for the service team, because a scarce technician requires a more conservative probability estimate
02. A survey feature records a response as one of never, rarely, sometimes, often or always, and a linear model is to be fitted.
Which encoding best reflects the structure of this feature?
a) Create one indicator column per response, because a linear model requires categorical inputs to be represented separately
b) Collapse the five responses into two, because a linear model fits a binary distinction more reliably than a five-level scale
c) Replace each response with the mean of the target for that response, because this captures the relationship with the outcome
d) Map the five responses to increasing integers, because the categories carry a genuine order the model can use
03. Two candidate models were measured on the same held-out data:
Model A: precision 0.62, recall 0.71
Model B: precision 0.38, recall 0.93
The business states that a missed case costs roughly forty times what an unnecessary review costs. Which model should be selected, and why?
a) Model A, because its two figures are closer together, which indicates more consistent behavior across cases
b) Neither, because a cost ratio of forty to one means the decision requires a full expected-cost calculation first
c) Model B, because the missed cases it avoids outweigh the additional reviews its lower precision creates
d) Model A, because its precision is materially higher and its recall is only moderately lower than B's
04. Six months after a lead-scoring model went live, its measured ranking quality on held-out data has improved against the launch figure. The sales conversion rate the project was funded to raise is unchanged.
Which explanation should be investigated first?
a) The sales team may not be working the ranking, so a better ordering never reaches the behavior the funded metric measures
b) The conversion metric may be defined over a different population than the one the deployed model actually scores
c) The held-out data may no longer represent live traffic, so the improved ranking figure is optimistic rather than real
d) Conversion may be dominated by factors the model does not observe, so ranking quality cannot move it very much
05. A team must classify short video clips as either a person falling or a person sitting down. To reduce storage and processing cost, a proposal keeps one frame per second from each clip and discards the rest.
What is the strongest technical objection to that proposal?
a) Retaining one frame per second biases the sample toward the middle of each clip, where the two actions look most alike
b) One frame per second yields too few examples per clip for a model to learn a reliable spatial representation of a person
c) Discarding frames changes the file format, so the clips would need re-encoding before a model could read them
d) The two actions are distinguished mainly by how fast the movement happens, and sampling that coarsely removes that difference
06. A credit model uses 60 numeric features, many of which are strongly correlated with one another. A practitioner proposes replacing them with 12 principal components before fitting.
What is the most significant cost of that change?
a) Each component mixes many original features, so the model's reasoning can no longer be described in the original terms
b) The transformation must be refitted for every new record, which adds latency to each prediction at serving time
c) The components are ranked by variance, so information relevant to the target may be discarded with the later ones
d) The components are uncorrelated by construction, so the model can no longer detect interactions between features
07. A training job needs a database credential. It is currently written into a notebook that is committed to the team's shared repository.
What is the appropriate remedy?
a) Rotate the credential on a fixed schedule, so that any exposed value stops working after a reasonably short period
b) Retrieve the credential at run time from a managed secret store, with access scoped to the job's own identity
c) Restrict repository access to the members of the team who need to run the training job
d) Encrypt the notebook so that the credential cannot be read from the repository without a key
08. A model was trained on records for a few thousand individuals, and its training data is held securely with no external access. A reviewer nonetheless raises a privacy concern about the deployed model itself.
Which concern is the reviewer most likely describing?
a) Repeated querying may reveal whether a particular individual's record was part of the training set
b) An attacker with access to the endpoint could substitute a modified model that returns chosen predictions
c) Records supplied through a feedback channel could shift what the model learns when it is next retrained
d) Crafted inputs at inference could cause the model to misclassify records it would otherwise handle correctly
09. An autonomous floor-cleaning unit navigates a warehouse. During a trial it drives into a pallet that a camera image clearly shows, and the log records that no obstacle was registered at that position.
Which part of the system should be examined first?
a) The mapping component, which maintains the unit's stored layout of the warehouse floor
b) The planning stage, which selects the route the unit follows through whatever free space the map or the sensors report as available
c) The perception stage, which converts sensor input into the obstacle representation the rest of the system acts on
d) The actuation stage, which converts the chosen route into wheel and steering commands
10. Three reviewers labeled an overlapping sample of support tickets as urgent or routine. On the overlapping tickets they agree with each other about two-thirds of the time.
What is the most appropriate next step before training?
a) Take the majority label on each overlapping ticket and use it as the training target
b) Clarify the definition of urgent with the reviewers, relabel the sample and re-measure their agreement
c) Keep only the tickets on which all three reviewers agreed, since those labels are the reliable ones
d) Train on the labels as they stand and treat the disagreement as noise the model will average out
Answers:
|
Question: 01 Answer: c |
Question: 02 Answer: d |
Question: 03 Answer: c |
Question: 04 Answer: a |
Question: 05 Answer: d |
|
Question: 06 Answer: a |
Question: 07 Answer: b |
Question: 08 Answer: a |
Question: 09 Answer: c |
Question: 10 Answer: b |
Note: For any error in CertNexus Certified Artificial Intelligence Practitioner (CAIP) (AIP-210) certification exam sample questions, please update us by writing an email on feedback@edusum.com.
