Kedis ku xidhan hagaha · Dhexdhexaad Heerka

Kediska Heerarka Maturity MLOps

Isticmaal marxaladaha qaangaadhka si aad u aqoonsato daldaloolada kartida wax ku oolka ah markaad kala soocdo CI, hawlgelinta iyo dib-u-tababaraynta otomatiga.

Wadooyinka haga ee la xidhiidhaHeerarka Maturity Mlops
Su'aal 1 ee 8

What should a team treat an MLOps maturity level as?

Horudhac su'aal kasta8 su'aalo

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

  1. What should a team treat an MLOps maturity level as?
    • A diagnostic description of capabilities in a named framework
    • A universal certification of model safety
    • A measure of model accuracy
    • A count of tools installed
  2. Which capability typically improves reproducibility early in an MLOps journey?
    • Automatically deploying every training run
    • Versioning code, data and model artifacts
    • Adding more dashboard colors
    • Removing evaluation gates
  3. How does continuous training differ from continuous deployment?
    • It monitors latency, while deployment stores datasets
    • It tests source code, while deployment versions dependencies
    • It creates new candidates, while deployment promotes artifacts to production
    • They are identical terms in every framework
  4. Why might a team avoid automating every release decision immediately?
    • Maturity models prohibit human approval
    • Automation always reduces quality
    • CI cannot run tests
    • High-impact or uncertain results may still require review
  5. Which limitation applies to a single aggregate maturity score?
    • It proves a team has no monitoring
    • It can hide different strengths and gaps across capabilities
    • It forces a specific cloud provider
    • It measures only training time
  6. A team has automated training but manual release approval. What does that show?
    • The workflow has no validation
    • The team cannot be mature in any area
    • Training automation can exist separately from deployment automation
    • The model is continuously deployed
  7. What should guide the next MLOps investment?
    • A requirement to automate all modeling
    • The highest maturity stage available
    • The number of vendors in the market
    • The current delivery or reliability risk it is meant to reduce
  8. What evidence can help assess operational maturity beyond tool count?
    • Repeatability, recovery and release reliability
    • The length of workflow YAML
    • Tirada qiyaasaha moodeelka
    • The color of monitoring charts