Data Science Model Deployments and Cloud Computing on GCP - Introduction to Airflow

Data Science Model Deployments and Cloud Computing on GCP - Introduction to Airflow

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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The video provides a refresher on Cloud Composer, a managed Apache Airflow service on GCP. It explains how to set up an Airflow cluster by selecting nodes and their capacities. The video also covers interaction methods with Airflow, including the Cloud Console and gcloud command line tool. It introduces DAGs and discusses Composer 1 and Composer 2 environments, highlighting their features. Finally, it demonstrates creating a Composer environment for orchestrating PySpark jobs on Dataproc Serverless.

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5 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What is Cloud Composer and how does it relate to Apache Airflow?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain the concept of a DAG in the context of Airflow.

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What are the two types of Airflow environments supported by Cloud Composer?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

Describe the process of creating a new Composer environment.

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5.

OPEN ENDED QUESTION

3 mins • 1 pt

What are the key parameters to select when setting up a Composer environment?

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