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GCP Data Engineer Cloudcomputing — practice by topic

Browse 3 questions across 2 Cloudcomputing topics. Choose what you want to revise, then open a question to check its answer and worked solution.

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Cloudcomputing topics

Gcpdestorage (2)Gcpdedesign (1)

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Which GCP service should a Data Engineer use as a managed Apache Beam runtime for unified batch + streaming data pipelines (PDE §2.2)?Read the answer and worked solution →Which GCP service is the canonical petabyte-scale columnar serverless data warehouse with SQL + ML + GIS — the centre of PDE §3.1?Read the answer and worked solution →Which GCP service should a Data Engineer choose as a serverless document database with real-time sync to mobile + web clients — referenced in PDE §3.1?Read the answer and worked solution →

Worked practice questions

Which GCP service should a Data Engineer use as a managed Apache Beam runtime for unified batch + streaming data pipelines (PDE §2.2)?

  1. Cloud Dataflow
  2. Cloud Memorystore
  3. Cloud Filestore
  4. Cloud DNS
Show answer and solution

Correct answer: A. Cloud Dataflow

Dataflow is GCP's managed Beam pipeline runtime (per PDE §2.2). The others aren't pipeline runtimes.

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Which GCP service is the canonical petabyte-scale columnar serverless data warehouse with SQL + ML + GIS — the centre of PDE §3.1?

  1. Cloud Filestore
  2. Cloud Memorystore
  3. Cloud DNS
  4. BigQuery
Show answer and solution

Correct answer: D. BigQuery

BigQuery is GCP's serverless analytics warehouse (per PDE §3.1, §3.2). The others aren't warehouses.

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Which GCP service should a Data Engineer choose as a serverless document database with real-time sync to mobile + web clients — referenced in PDE §3.1?

  1. Cloud Memorystore
  2. Cloud Filestore
  3. Cloud Firestore
  4. Cloud DNS
Show answer and solution

Correct answer: C. Cloud Firestore

Firestore is GCP's document DB with real-time sync (per PDE §3.1). The others aren't document DBs.

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How to practise

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