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Apache Airflow fun ML Workflows Quiz

Apply Airflow task dependencies, retries, and backfills to ML workflows, including the trigger rules that determine when tasks are ready to run.

Jẹmọ itọsọna awọn ọnaApache Airflow Fun ML Workflows
Ibeere 1 ti 8

Ni Apache Airflow, kini abstraction mojuto ti a lo lati ṣalaye ṣiṣan iṣẹ kan?

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  1. Ni Apache Airflow, kini abstraction mojuto ti a lo lati ṣalaye ṣiṣan iṣẹ kan?
    • A YAML farahan
    • Wiwo SQL kan
    • A DAG (Directed Acyclic Graph) ti a kọ ni Python
    • A Jupyter ajako
  2. Ipa wo ni Airflow ṣe julọ julọ ninu opo gigun ti epo ML?
    • O ṣe agbekalẹ ati ṣeto awọn iṣẹ ṣiṣe ti o ṣiṣẹ lori awọn eto miiran
    • O ṣe ikẹkọ awọn awoṣe ikẹkọ jinlẹ taara lori awọn GPU
    • O tọju awọn ẹya ara ẹrọ ni iranti
    • O ṣe iranṣẹ awọn asọtẹlẹ awoṣe lori HTTP
  3. Itumọ Airflow wo ni a lo lati duro fun ipo ita, gẹgẹbi faili ti o de ibi ipamọ?
    • Oniyipada kan
    • A asopọ pool
    • A Makiro
    • A sensọ
  4. Kini Airflow 'backfill' gba ọ laaye lati ṣe?
    • Pa DAG atijọ rẹ ṣiṣẹ patapata
    • Ṣiṣe DAG kan lori ọpọlọpọ awọn ọjọ ti o kọja lati tun data itan ṣiṣẹ
    • Encrypt awọn metadata database
    • Pa oluṣeto rẹ kuro fun igba diẹ
  5. Which Airflow component determines when eligible task instances should be scheduled?
    • Awọn iṣeto
    • The graph view in the web UI
    • A model’s feature encoder
    • The artifact file itself
  6. Kini 'iṣeto-iṣeto data' ti a ṣe afihan ni awọn ẹya tuntun Airflow?
    • Encrypting gbogbo data kọja laarin awọn iṣẹ-ṣiṣe
    • Iforukọsilẹ data ikẹkọ ni aifọwọyi
    • Idinku nọmba ti GPUs fun iṣẹ-ṣiṣe
    • Nfa awọn DAGs nigbati dataset ti ni imudojuiwọn kuku ju lori aago ti o wa titi
  7. 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
  8. 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