Maswali yanayounganishwa na mwongozo · Ngumu Kiwango

Maswali ya Usanifu wa Wingu ya AI

Hujaribu kutenganisha mzigo wa kazi, uidhinishaji, shinikizo la nyuma, vikomo vya utegemezi, foleni, gharama kwa kila kazi na uoanifu wa kurejesha.

Njia za mwongozo zinazohusianaUsanifu wa Wingu wa AI
Swali 1 ya 8

Why separate interactive and background AI workloads?

Hakiki kila swali8 maswali

Majibu na maelezo huonekana unapojibu maswali.

  1. Why separate interactive and background AI workloads?
    • Daima hutumia mifano tofauti
    • Background work needs no monitoring
    • They can have different response-time and processing requirements
    • Interactive work cannot use queues
  2. What is the purpose of backpressure in an overloaded service?
    • Limit incoming work so a struggling dependency does not overwhelm the system
    • Increase every retry rate
    • Hide the queue from operators
    • Make a slow provider respond faster
  3. Why is network location alone insufficient to establish authorization?
    • Anything inside a network is automatically trusted
    • Cloud services cannot enforce access control
    • Network boundaries replace secret management
    • Access roles and credentials still determine which data or actions are permitted
  4. A provider has a rate limit and model loading is slow. What should architecture plan for?
    • Unlimited retries from every worker
    • Bounded retries, admission control, capacity behavior, and clear unavailable states
    • A larger prompt
    • Automatic acceptance of stale outputs
  5. A service scales web workers, but every worker calls the same limited inference endpoint. What may happen?
    • More workers can create a longer queue without increasing model capacity
    • Inference capacity necessarily scales with web workers
    • The model stops using memory
    • User authorization is automatically improved
  6. What should cost per useful task include?
    • Only the provider’s listed input-token price
    • Only GPU electricity
    • Storage, transfer, failed attempts, and idle resources in addition to API cost
    • The server’s initial purchase price
  7. Why use clear queue status and retry behavior for background jobs?
    • They guarantee every job succeeds on the first try
    • They make long-running work and recovery observable
    • They remove the need for durable state
    • They reduce model output length
  8. What does a rollback test need to consider?
    • Only the web page title
    • Whether the new deployment has a shorter name
    • The model’s training benchmark alone
    • Compatible model, preprocessing, and data-migration versions