quiz bu lëkkale ak tegtal · Diggante Niveau

IA ci Quiz buy saytu sàmm rabi àll yi

Jàngaleel ni IA di xaajalee nataali fiir yi, jàngat son yi rabi àll yi, ak jàppale ekipu sàmm yi ñu njëkka tontu ci tool bi.

Yooni njiit yu jëm ciIA ci di wottu sàmm rabi àll yi
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Lan moo waral IA am njariñ lu bari ci projet yiy sàmm fiir yi?

Xoolaatal laaj bu nekk8 laaj

Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.

  1. Lan moo waral IA am njariñ lu bari ci projet yiy sàmm fiir yi?
    • Kamera yi dañuy defar nataal yu bari lool te nit ñi mënu leen xool ak seeni loxo
    • Kamera yi dañu soxla IA ngir mëna jël nataal ci guddi
    • IA dafay tax defar kamera yi gëna yomb
    • Baayima yi duñu feeñ ci kamera bi su IA bi di daw
  2. In an automated forest-wildlife sound-classification workflow, how can a CNN receive the recordings?
    • As GPS coordinates with no audio features
    • As spectrogram images generated from short audio clips
    • As handwritten transcripts from field staff only
    • As RGB images of animal tracks in soil
  3. Lan mooy 'ràññeewaat' baayima bu nekk?
    • Koliye GPS ci baayima bu nekk
    • Laajte ranger yi ñu jàng baayima bu nekk ci seen bopp
    • méngale màrk yu wuute ak jëfandikoo embeddings jàng
    • Defar ay nimero ci kaw baayima yi
  4. Ak naka la sistemu Rainforest Connection di jàppale ci xeex dagg garab ci anam wudul yoon?
    • Dafay jëmbat garab yu bees ci saasi
    • Dafay tëj yooni àll bi
    • Dafay foto garab gu nekk bis bu nekk
    • Dafay gis sonu scie à chaîne ak oto ba noppi di artu ay gardien ci saa si
  5. Lan moo waral njàngum toxal lu bari ci misaali xoolum rabi àll yi?
    • Dafay may model yi ñu dox bu baax doonte ay nataali tàggat yaram yu yam ci xeetu mbindéef yi
    • Dina dindi bépp soxla kamera
    • Dafay toxal baayima yi ci diggante dëkkuwaay yi
    • Du dox ludul ci baayima yi ñuy yar
  6. What can an edge AI device do in a remote wildlife-monitoring deployment?
    • Guarantee longer battery life regardless of hardware and workload
    • Analyze sensor data on-site, which may reduce raw data transfer depending on system design
    • Identify every species without uncertainty or human review
    • Make acoustic sensors unnecessary in all field studies
  7. How can Wildlife Insights AI reduce the manual workload of reviewing camera-trap images?
    • It permanently deletes every image without a species label
    • It identifies every individual animal without human review
    • It can flag blank images so reviewers spend less time sorting photos without animals
    • It replaces camera-trap data with satellite imagery
  8. How can passive acoustic monitoring support protection of North Atlantic right whales?
    • It reads the whales’ DNA from underwater video
    • It prevents ships from entering all ocean areas
    • It replaces every visual and ship-based survey
    • Hydrophones detect whale calls, and confirmed detections can trigger vessel slow zones