nerdexam
Google

CLOUD-DIGITAL-LEADER · Question #303

How does Google Cloud AI Hub make machine learning easy and accessible for Google Cloud customers to get started?

The correct answer is D. It includes a repository of plug-and-play artificial intelligence tools. Google Cloud AI Hub (now part of Vertex AI) is a hosted repository of reusable, plug-and-play AI and ML components such as pipelines, notebooks, TensorFlow modules, and pre-trained models. This makes it easy for teams to discover, share, and deploy ML assets without building…

Google Cloud AI/ML Services

Question

How does Google Cloud AI Hub make machine learning easy and accessible for Google Cloud customers to get started?

Options

  • AIt deploys artificial intelligence models in real time
  • BIt automatically codes users' machine learn ng models
  • CIt automatically sources and prepares users' machine learning data
  • DIt includes a repository of plug-and-play artificial intelligence tools

How the community answered

(36 responses)
  • A
    3% (1)
  • B
    3% (1)
  • C
    6% (2)
  • D
    89% (32)

Explanation

Google Cloud AI Hub (now part of Vertex AI) is a hosted repository of reusable, plug-and-play AI and ML components such as pipelines, notebooks, TensorFlow modules, and pre-trained models. This makes it easy for teams to discover, share, and deploy ML assets without building everything from scratch. It does not deploy models in real time on its own (A), automatically write user code (B), or automatically source and prepare data (C) - those are functions of other services like Vertex AI Pipelines or Dataflow.

Topics

#Google Cloud AI Hub#Machine Learning#AI Tools#Cloud AI Services

Community Discussion

No community discussion yet for this question.

Full CLOUD-DIGITAL-LEADER Practice