Applied Data Science Practice Test
Build your confidence for Applied Data Science. Practice the concepts, understand the answers, and strengthen your knowledge one question at a time.
Try a sample questionExam overview and details
Practice questions on applied data-science decisions and production reliability. Scenarios include recommendation-system cold starts, changing promotion calendars, delayed FHIR feeds, missing weather joins and sensor-firmware changes. Use them to build or check your knowledge of working with changing or incomplete data.
Sample Questions
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A logistics carrier is preparing the winter 2025 dispatch redesign for 1.4 billion route events and weather joins from three providers. The case notes that weather joins are missing for rural lanes and drivers need recommendations within two minutes, and dispatch wants better ETA accuracy without destabilizing daily route planning. fleet branding is changing on the mobile app. The validation note says the holdout was collected after a policy change and before a marketing campaign; the test plan must preserve temporal order and site boundaries. the evidence sample contains 1267 records from 6 operating units. The workstream is SHAP explanations. Which explanation approach best fits a tabular gradient-boosting credit model?
A steering committee at A regional hospital network is comparing options for 37 facilities and two imaging vendors. The case file notes that FHIR feeds arrive 45 minutes late twice a week and a rural site changed triage workflow, and the clinical safety board needs an auditable go/no-go decision. Ignore the side issue that an executive also asks whether the dashboard can use the corporate color palette. The latest slice shows the model card must document assumptions before approval; the service must support both batch scoring and a real-time API; the evidence sample contains 1441 records from 3 operating units. Regarding transformer sequence modeling, Why can a transformer handle long text better than a simple RNN baseline?
After a post-release review, A B2B software company documents a concern in product telemetry, support cases, and renewal records. The review finds that enterprise customers use private deployments and success teams update records late, and finance wants a forecast that sales leaders will trust for pipeline planning. The team also hears that a new logo package is being released in the same quarter. The model evidence shows a shadow deployment shows stable throughput but a shifted score distribution; privacy counsel will not approve raw-record sharing across business units; the evidence sample contains 1499 records from 5 operating units. In this analytics adoption decision, Which leadership action most reduces the risk that a technically sound model will not be used?
During the 2025 summer launch window, A streaming media company reviews a data science decision for 9 million active users and a fast-changing content catalog. new-item cold start hurts launches and one region has sparse interaction history, while product leaders care about watch-time lift, diversity, and churn risk. The evidence packet includes a shadow deployment shows stable throughput but a shifted score distribution; the product owner wants a decision explainable to nontechnical leaders; the evidence sample contains 1180 records from 3 operating units; a celebrity campaign is expected to spike traffic for three days. The team is focused on ROI framing. Which recommendation best connects model work to business value?
A telecom operator is preparing the 2024 support automation rollout for network tickets, call transcripts, and device telemetry. The case notes that a chatbot changed ticket wording and escalation harm is under executive review, and support leaders track containment, repeat calls, and incorrect closure risk. a vendor demo is scheduled for the same week. The validation note says the holdout was collected after a policy change and before a marketing campaign; the test plan must preserve temporal order and site boundaries. the evidence sample contains 3210 records from 10 operating units. The workstream is model card. Which model-card entry is most useful for governance?
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Exam insights and study advice
The scenarios connect data-science decisions with the reliability of their inputs and production systems. They provide a way to review how missing, delayed or changing data affects the problem being considered.
What this exam covers
01Advanced Topics
Advanced concepts and techniques
02Best Practices
Industry best practices and standards
03Core Knowledge
Essential knowledge areas
04Fundamentals
Basic concepts and principles
05Practical Application
Real-world application of concepts