Kipengele Stores Quiz

Majibu na maelezo huonekana unapojibu maswali.

1. Why use shared feature definitions for training and online serving?
   • To guarantee every cached value is always fresh
   • To reduce skew caused by separate transformation implementations
   • To eliminate the need for timestamps
   • To choose a GPU model automatically
2. Kuna tofauti gani kati ya maduka ya nje ya mtandao na ya mtandaoni?
   • Nje ya mtandao huwa na data ya kihistoria kwa mafunzo; mtandaoni hutoa thamani za hivi punde haraka kwa utabiri wa moja kwa moja
   • Nje ya mtandao ni kwa ajili ya picha, mtandaoni ni kwa maandishi
   • Wanafanana na majina tofauti
   • Huendeshwa nje ya mtandao wikendi, mtandaoni huendeshwa siku za wiki
3. Kwa nini kujiunga kwa wakati ni muhimu wakati wa kuunda data ya mafunzo?
   • Wanafanya hifadhidata kukimbia haraka
   • Wanatafsiri vipengele katika lugha nyingine
   • Huzuia uvujaji wa data kwa kutumia thamani za vipengele kama zilivyokuwa wakati wa kila tukio
   • Wanapunguza saizi ya faili ya mfano
4. Which storage pattern commonly supports low-latency feature lookup by entity key?
   • An archival tape read for every request
   • A printed document catalog
   • A model-weight-only file
   • A key-value online store such as Redis or DynamoDB
5. Je, 'kipengele' ni nini katika muktadha huu?
   • Tofauti ya ingizo inayotokana na data, kama vile wastani wa kutumia zaidi ya siku 30
   • Hitilafu katika msimbo wa mfano
   • Mpango wa rangi wa dashibodi
   • Aina ya GPU
6. Je, orodha ya vipengele vilivyoshirikiwa hutoa manufaa gani ya ziada?
   • Inafuta data ya zamani kiotomatiki kila saa
   • Inachukua nafasi ya haja ya mafunzo yoyote ya mfano
   • Huruhusu vipengele vilivyoundwa kwa muundo mmoja kugunduliwa na kutumiwa tena na miundo mingine
   • Inasimba barua pepe ya kampuni kwa njia fiche
7. A feature’s event time precedes a loan decision, but the value only arrived afterward. What must a historical training join consider?
   • Only whether its column name is short
   • A rule that every past event was already known
   • Only the current online value
   • Whether that value was actually available at prediction time
8. An online feature has not been refreshed after new events arrived. Which property should a feature-store monitor inspect?
   • The font size of the registry page
   • Feature freshness relative to the prediction’s needs
   • The model’s number of attention heads only
   • Whether the feature name contains a digit