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GCP Professional Cloud Architect Gcppcaprovisioning — practice questions

Explore 4 free Gcppcaprovisioning questions in GCP Professional Cloud Architect Cloudcomputing. Open each question or exercise to read its content, reference answers and available explanation.

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Gcppcaprovisioning questions and exercises with answers

Showing questions 1–4 of 4.

Worked practice questions

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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Which GCP feature lets an architect group compute resources into a single tenant's exclusive physical hardware for compliance or licensing reasons?

  1. Sole-tenant nodes
  2. Cloud Memorystore
  3. Cloud DNS
  4. Spot VMs
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Correct answer: A. Sole-tenant nodes

Sole-tenant nodes give dedicated physical hosts to one tenant — used for BYOL/compliance. Spot is preemptible shared Memorystore is cache DNS is name resolution.

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