Sources and applications
BDPC · 30 questions
- A 311 call center stores citizen-to-agent conversations and free-text request notes for later analysis. Which source class does that primarily represent?
- Residents use a transit mobile app that writes every trip-plan request to backend logs. Which Big Data source class is that interaction?
- Streetlight controllers report status every minute with no operator in the loop. What source class is that telemetry?
- A data-inventory workshop drops SMS complaints, transit-app clicks, and SCADA heartbeats into one unlabeled ‘sensor’ bucket. What correction should facilitators make?
- Before buying tools, a city maps which source classes feed ingest, lake storage, processing, and serving layers. Why is that mapping valuable?
- Public health wants search- and symptom-proxy signals to anticipate clinic load. Which application-pattern idea does that reflect?
- Parks marketing scrapes and surveys citizen comments about a waterfront redesign. Which application pattern is that closest to?
- Police analysts discuss predictive deployment models fed by historical incidents and sensors. What BDPC-aware framing is appropriate?
- A municipal fleet pilot proposes usage-based insurance-style premiums from vehicle telematics. Which application pattern does that illustrate?
- A regional open-data site publishes CSVs and APIs that other agencies mash up. How should BDPC candidates classify that feed?
- After a festival, operations combines crowd social posts with gate-entry turnstile counts. What does that mashup demonstrate?
- Bridge strain gauges stream measurements into a central store without human keystrokes per reading. Which classification fits best?
- Housing inspectors want maps of complaint clusters overlapping inspection outcomes. Which multi-source civic application idea is that?
- The city portal analytics team treats page events as inputs for service design. Which source framing is correct?
- Nightly ETL assumes one fixed schema, but a new chatbot begins dumping unstructured transcripts. What Big Data lesson applies?
- Wastewater wants early detection of pump anomalies from sensor streams plus work-order history. Which application class fits?
- Snow-plow dispatch blends storm forecasts, road sensors, and prior route times. What application pattern is that primarily?
- A library wants reminder notifications tailored from checkout patterns without creepy overreach. Which application stance fits?
- Emergency dashboards need second-level machine telemetry, while monthly grant statistics do not. What principle should architects apply?
- Digitized historical permits sit in archives, while the live permitting system emits events as filings occur. How should product owners treat those sources?
- Fire, EMS, and hospital partners want one shared incident timeline, but each still exports overnight CSV drops into separate folders. What Big Data source challenge should the city tackle first?
- A city’s online feedback channel is flooded with bot-generated comments that praise or attack every park project. Before leaders trust a sentiment dashboard, what source issue must analysts treat?
- Every new smart water meter adds device tags, interval series, and location attributes until the utilities “source catalog” is unmanageable. What source-management problem is the city facing?
- A town already has traffic cameras and transit fare cards, and leaders ask for “AI magic” that predicts household income for every address. What application choice best respects available sources?
- Building-permit comments arrive as free-text narratives from inspectors, while inspection scores arrive as numeric fields. Which Big Data characteristic does the narrative most clearly drive?
- A rideshare data-sharing agreement will push external trip aggregates to the city every night through a partner interface. How should the analytics team classify this feed?
- Counseling hotline notes are person-to-person records with highly sensitive personal details. What should constrain the analytics scope for this source?
- Mis-calibrated air-quality sensors keep reporting false spikes that then drive public health alerts. What lesson about sources and applications should the city apply?
- Bus AVL pings, bike-share dock occupancy, and parking sensors will feed one civic mobility application. What source pattern best describes this design?
- Council asks how machine-to-machine water meters turn into dollar savings. What narrative should staff present?