Guide-yakabatana mibvunzo · Pakati Nhanho
Muenzaniso Registries Quiz
Nyorera modhi registry vhezheni, siginecha, uye mareferenzi ekutumira, kusanganisira nei maalias shanduko ichida yakasimbiswa yekushandira mafambiro.
Mubvunzo 1 ye 8
Chii chinangwa chikuru chemodhi registry?
Tarisa mubvunzo wese8 mibvunzo
Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.
- Chii chinangwa chikuru chemodhi registry?
- Kunyora data rekudzidziswa raw
- Kushanda seshanduro-inodzorwa katalogi uye imwe sosi yechokwadi yemamodeli akadzidziswa
- Kutsiva iyo GPU museva
- Kunyora SQL mibvunzo
- In current MLflow registry workflows, what can provide a named reference to a model version?
- A reassignable model alias
- A universal mandatory four-stage lifecycle in every registry
- The training GPU’s display resolution
- A random tensor without a model version
- How can a registry support a model rollback?
- By guaranteeing every server switches instantly
- By deleting all previous versions
- By retaining a previous artifact that the serving workflow can reload and validate
- By changing the training labels automatically
- Chii chinonzi siginicha yemuenzaniso mune registry?
- Iyo data sainzi yakanyorwa neruoko autograph
- A password ye database
- Nguva yekudzidzira yemuenzaniso
- Schema inotsanangura iyo modhi inotarisirwa kupinza uye kubuda mhando
- Nei mutsara wakarekodhwa (dataset, code commit, hyperparameters) yakakosha?
- Inogonesa kuberekana uye kutarisika kwemagadzirirwo akaitwa shanduro yega yega
- Inoita kuti modhi imhanye nekukurumidza
- Inowedzera kurongeka kwemuenzaniso otomatiki
- Inomanikidza iyo modhi faira
- What connects a registered model decision to an actual application rollout?
- A guarantee that registering a version deploys it everywhere
- A required fax to the GPU vendor
- A configured deployment workflow that loads and verifies the chosen artifact
- A model signature alone with no serving system
- A champion alias is reassigned, but a long-running server still has the old artifact loaded. What should an operator verify?
- Only that the alias has a new value
- That all servers reload automatically in every integration
- Only the number of files in the registry
- The artifact and version actually serving requests
- A model signature expects numerical columns but a request sends strings. What can signature-aware validation help detect?
- Whether the training labels are morally correct
- An input schema or type mismatch
- Every possible accuracy regression
- A guarantee that all numerical inputs are in distribution