Kedis ku xidhan hagaha · Dhexdhexaad Heerka
Socodka hawada Apache ee ML Workflows Quiz
Codso ku tiirsanaanta hawsha socodka hawada, isku-dayga, iyo dib-u-buuxinta socodka shaqada ML, oo ay ku jiraan xeerarka kiciya ee go'aaminaya marka ay hawluhu diyaar u yihiin inay socdaan.
Su'aal 1 ee 8
Gudaha Apache Airflow, waa maxay soo saarista xudunta u ah in lagu qeexo socodka shaqada?
Horudhac su'aal kasta8 su'aalo
Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.
- Gudaha Apache Airflow, waa maxay soo saarista xudunta u ah in lagu qeexo socodka shaqada?
- A YAML
- Aragtida SQL
- A DAG (Directed Acyclic Graph) oo ku qoran Python
- Buug xusuus qor Jupyter ah
- Doorkee bay socodka hawadu inta badan ka ciyaartaa dhuumaha ML?
- Waxay abaabushaa oo dejisaa hawlaha ku shaqeeya nidaamyada kale
- Waxay si toos ah ugu tababartaa moodooyinka barasho qoto dheer GPU-yada
- Waxay kaydisaa muuqaalada vector ee xusuusta
- Waxay u adeegtaa saadaasha moodeelka HTTP
- Waa kuwee dhismaha socodka hawada loo isticmaalo in lagu sugo xaalad dibadda ah, sida fayl soo gala kaydinta?
- Doorsoome
- Barkad isku xidhka
- Macro
- Dareemaha
- Muxuu socodka hawadu 'dib-buuxinta' kuu ogolaanaya inaad samayso?
- Tirtir DAG duug ah oo si joogto ah u shaqeeya
- Ku socodsii DAG taariikho badan oo hore si dib loogu habeeyo xogta taariikhiga ah
- Siri xogta xogta badan
- Dami jadwalaha si ku meel gaar ah
- Waa maxay qaybta Airflow ee go'aamisa goorta tusaalooyinka hawlaha u qalma inay la jadwaleyaan?
- Jadwalaha
- The graph view in the web UI
- A model’s feature encoder
- The artifact file itself
- Waa maxay 'jadwalka xog-ogaalka ah' ee lagu soo bandhigay noocyada cusub ee socodka hawada?
- Siraynta dhammaan xogta dhex marta hawlaha
- Si toos ah u calaamadeynaya xogta tababarka
- Yaraynta tirada GPU-yada hawl kasta
- Kicinta DAGs marka kaydka xogta la cusboonaysiiyo halkii laga ahaan lahaa saacad go'an
- An Airflow cleanup task must run after upstream tasks finish even if one fails. Which setting controls this behavior?
- The number of model layers
- The cleanup task’s trigger rule
- The feature normalization method
- The UI theme selected for the DAG
- A team backfills three months of ML feature data in Airflow. What makes repeating an interrupted task safer?
- Appending duplicate outputs each time it retries
- Ignoring the run’s historical date
- An idempotent operation with the correct historical inputs
- Changing the training labels on every retry