An organization needs a platform to create custom end-to-end artificial intelligence models. Which Google Cloud product or service should the organization use?

The correct answer is D. Vertex AI. Vertex AI is Google Cloud's unified, end-to-end machine learning platform that enables organizations to build, deploy, and scale custom AI and ML models. It provides tools for the entire ML lifecycle: data preparation, model training, hyperparameter tuning, deployment, and monito

Artificial Intelligence and Machine Learning on Google Cloud

Question

Options

ADataproc
BCompute Engine
CRecommendations AI
DVertex AI

How the community answered

(33 responses)

A
9% (3)
B
3% (1)
C
3% (1)
D
85% (28)

Explanation

Vertex AI is Google Cloud's unified, end-to-end machine learning platform that enables organizations to build, deploy, and scale custom AI and ML models. It provides tools for the entire ML lifecycle: data preparation, model training, hyperparameter tuning, deployment, and monitoring. Option A (Dataproc) is a managed service for running Apache Spark and Hadoop - it's for big data processing, not building AI models. Option B (Compute Engine) is an IaaS virtual machine service with no built-in AI capabilities. Option C (Recommendations AI) is a pre-built, specialized AI product for product recommendations - not a platform for building custom end-to-end AI models.

Topics

#Artificial Intelligence (AI)#Machine Learning (ML)#Vertex AI#Google Cloud Services

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