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GCP Professional Cloud Architect Cloudcomputing — practice by topic

Browse 18 questions across 5 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

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Worked practice questions

Which GCP migration tool helps assess existing on-prem workloads, build dependency maps, and plan migrations to GCP?

  1. BigQuery Studio
  2. Google Cloud Migration Center
  3. Cloud Memorystore
  4. Cloud DNS
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Correct answer: B. Google Cloud Migration Center

Migration Center provides assessment, dependency-mapping, and migration planning (per the exam guide §1.4). The others are unrelated.

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Which Vertex AI feature automates and orchestrates the ML lifecycle (data → training → deployment) as a DAG of components?

  1. Filestore
  2. Cloud Memorystore
  3. Vertex AI Pipelines
  4. Cloud DNS
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Correct answer: C. Vertex AI Pipelines

Vertex AI Pipelines is the managed ML-workflow orchestrator (per the exam guide §2.4). The others aren't ML orchestrators.

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Which Google Cloud product lets an architect run VMware workloads natively in GCP, preserving vSphere management interfaces?

  1. Cloud Run
  2. BigQuery
  3. Cloud Filestore
  4. Google Cloud VMware Engine
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Correct answer: D. Google Cloud VMware Engine

VMware Engine is the GCP-managed VMware runtime (per the exam guide §2.3). Cloud Run is serverless containers Filestore is NFS; BigQuery is analytics.

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How to practise

  1. Choose a Cloudcomputing question and try to work out your answer.
  2. Open the question to check the correct answer and read its worked solution.
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