Data Science Model Deployments and Cloud Computing on GCP - Introduction-GCP - Serverless Spark

Data Science Model Deployments and Cloud Computing on GCP - Introduction-GCP - Serverless Spark

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Hard

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The video introduces Dataproc Serverless, a tool for running Spark jobs without managing clusters. It compares Dataproc Serverless with Apache Beam, highlighting the easier syntax and abstraction of Spark. The video explains how to submit Spark jobs and monitor them using a Persistent History Server (PHS). It concludes with a brief mention of auto-scaling in Dataproc Serverless.

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2 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the purpose of the Persistent History Server (PHS) in Dataproc Serverless?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

Discuss how auto scaling works in Dataproc Serverless and its benefits.

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