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Question 540
After retraining, a customer assistant shows higher harmful error rates for a subgroup. What ongoing practice matters?
- Continuous bias monitoring
- Human escalation
- Training-data bias
- Outcome fairness evaluation
Explanation
Correct Answer
A:Fairness drift monitoring can trigger correction. Monitoring checks whether disparate outcomes emerge or worsen after deployment.
Incorrect Answers
B:Human escalation routes sensitive or contested model decisions to qualified people. This does not directly meet the case requirement to track subgroup safety and quality after release.
C:Training-data bias occurs when source examples encode systematic skew or historical discrimination. This does not directly meet the case requirement to track subgroup safety and quality after release.
D:Fairness evaluation compares model behavior across relevant population groups. This does not directly meet the case requirement to track subgroup safety and quality after release.
Question 541
A model cannot identify a product launched after its original training data. Which limitation explains this?
- Concept drift assessment
- Model versioning
- Scheduled knowledge refresh
- Knowledge cutoff
Explanation
Correct Answer
D:A model does not automatically learn events that occurred after its training window. Knowledge cutoff limits what can be learned from data available during model training.
Incorrect Answers
A:Concept drift examines whether the relationship between input and expected outcome has changed. This does not directly meet the case requirement to recognize the historical training knowledge boundary.
B:Versioning tracks which model revision is running and helps compare releases. This does not directly meet the case requirement to recognize the historical training knowledge boundary.
C:A scheduled refresh updates search indexes or data stores as sources evolve. This does not directly meet the case requirement to recognize the historical training knowledge boundary.
Question 542
A compliance assistant must use legislation announced this morning. Which method supplies fresh facts?
- Knowledge cutoff
- Concept drift assessment
- Live evidence retrieval
- Model versioning
Explanation
Correct Answer
C:Retrieval can read current official publications at answer time. Live retrieval accesses fresh authoritative sources at request time.
Incorrect Answers
A:Knowledge cutoff limits what can be learned from data available during model training. This does not directly meet the case requirement to answer from newly published policy evidence.
B:Concept drift examines whether the relationship between input and expected outcome has changed. This does not directly meet the case requirement to answer from newly published policy evidence.
D:Versioning tracks which model revision is running and helps compare releases. This does not directly meet the case requirement to answer from newly published policy evidence.
Question 543
An incident involves a model output from last month and engineers need to reconstruct the exact release. What control helps?
- Knowledge cutoff
- Model versioning
- Live evidence retrieval
- Concept drift assessment
Explanation
Correct Answer
B:Version records identify the deployed model state. Versioning tracks which model revision is running and helps compare releases.
Incorrect Answers
A:Knowledge cutoff limits what can be learned from data available during model training. This does not directly meet the case requirement to trace which version generated an answer.
C:Live retrieval accesses fresh authoritative sources at request time. This does not directly meet the case requirement to trace which version generated an answer.
D:Concept drift examines whether the relationship between input and expected outcome has changed. This does not directly meet the case requirement to trace which version generated an answer.
Question 544
An image classifier trained on daytime photos now receives mostly night images. What distribution problem has occurred?
- Live evidence retrieval
- Concept drift assessment
- Scheduled knowledge refresh
- Data drift detection
Explanation
Correct Answer
D:The input distribution has shifted relative to training. Data drift measures changes in input distributions that can affect performance.
Incorrect Answers
A:Live retrieval accesses fresh authoritative sources at request time. This does not directly meet the case requirement to detect changed input characteristics.
B:Concept drift examines whether the relationship between input and expected outcome has changed. This does not directly meet the case requirement to detect changed input characteristics.
C:A scheduled refresh updates search indexes or data stores as sources evolve. This does not directly meet the case requirement to detect changed input characteristics.
Question 545
A model used to predict cancellations now fails because business policy changes the meaning of previous risk factors. What drift type may be present?
- Concept drift assessment
- Live evidence retrieval
- Data drift detection
- Knowledge cutoff
Explanation
Correct Answer
A:The mapping between predictors and outcomes has changed. Concept drift examines whether the relationship between input and expected outcome has changed.
Incorrect Answers
B:Live retrieval accesses fresh authoritative sources at request time. This does not directly meet the case requirement to detect altered predictive relationships.
C:Data drift measures changes in input distributions that can affect performance. This does not directly meet the case requirement to detect altered predictive relationships.
D:Knowledge cutoff limits what can be learned from data available during model training. This does not directly meet the case requirement to detect altered predictive relationships.
Question 546
A policy index still contains last quarter's documents after an updated handbook is published. Which operation is missing?
- Model versioning
- Knowledge cutoff
- Scheduled knowledge refresh
- Live evidence retrieval
Explanation
Correct Answer
C:Refresh processes maintain indexed source freshness. A scheduled refresh updates search indexes or data stores as sources evolve.
Incorrect Answers
A:Versioning tracks which model revision is running and helps compare releases. This does not directly meet the case requirement to update the retrieval corpus as documents change.
B:Knowledge cutoff limits what can be learned from data available during model training. This does not directly meet the case requirement to update the retrieval corpus as documents change.
D:Live retrieval accesses fresh authoritative sources at request time. This does not directly meet the case requirement to update the retrieval corpus as documents change.
Question 547
A model offers an outdated address for a business that moved recently. Which limitation is a likely cause?
- Model versioning
- Live evidence retrieval
- Scheduled knowledge refresh
- Knowledge cutoff
Explanation
Correct Answer
D:Static training cannot guarantee current facts. Knowledge cutoff limits what can be learned from data available during model training.
Incorrect Answers
A:Versioning tracks which model revision is running and helps compare releases. This does not directly meet the case requirement to recognize stale parametric knowledge.
B:Live retrieval accesses fresh authoritative sources at request time. This does not directly meet the case requirement to recognize stale parametric knowledge.
C:A scheduled refresh updates search indexes or data stores as sources evolve. This does not directly meet the case requirement to recognize stale parametric knowledge.
Question 548
A research assistant needs yesterday's market notice, not last year's training memories. What technique should be used?
- Concept drift assessment
- Scheduled knowledge refresh
- Model versioning
- Live evidence retrieval
Explanation
Correct Answer
D:Current source retrieval addresses recency gaps. Live retrieval accesses fresh authoritative sources at request time.
Incorrect Answers
A:Concept drift examines whether the relationship between input and expected outcome has changed. This does not directly meet the case requirement to fetch recent authoritative market facts.
B:A scheduled refresh updates search indexes or data stores as sources evolve. This does not directly meet the case requirement to fetch recent authoritative market facts.
C:Versioning tracks which model revision is running and helps compare releases. This does not directly meet the case requirement to fetch recent authoritative market facts.
Question 549
A sales forecasting model sees a new regional customer mix and its errors rise. What monitoring signal is relevant?
- Live evidence retrieval
- Scheduled knowledge refresh
- Data drift detection
- Model versioning
Explanation
Correct Answer
C:Input population shift can invalidate prior performance. Data drift measures changes in input distributions that can affect performance.
Incorrect Answers
A:Live retrieval accesses fresh authoritative sources at request time. This does not directly meet the case requirement to detect changing data distributions.
B:A scheduled refresh updates search indexes or data stores as sources evolve. This does not directly meet the case requirement to detect changing data distributions.
D:Versioning tracks which model revision is running and helps compare releases. This does not directly meet the case requirement to detect changing data distributions.
Question 550
A lending model's old features stop predicting defaults after regulations change eligibility. What should be reassessed?
- Concept drift assessment
- Knowledge cutoff
- Model versioning
- Live evidence retrieval
Explanation
Correct Answer
A:The underlying target relationship may have shifted. Concept drift examines whether the relationship between input and expected outcome has changed.
Incorrect Answers
B:Knowledge cutoff limits what can be learned from data available during model training. This does not directly meet the case requirement to investigate concept drift in prediction behavior.
C:Versioning tracks which model revision is running and helps compare releases. This does not directly meet the case requirement to investigate concept drift in prediction behavior.
D:Live retrieval accesses fresh authoritative sources at request time. This does not directly meet the case requirement to investigate concept drift in prediction behavior.
Generative AI Leader Practice Tests