GCP · objective · 17% of the exam
Innovating with Google Cloud artificial intelligence
Exam objectives are the official skill domains Cloud Digital Leader tests. Below are the official GCP docs our questions on this objective cite — review them, then practise.
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Official references for this objective
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Google Cloud — AI Infrastructure | Google Cloud
Speech-to-Text Speech recognition and transcription across 125 languages. Text-to-Speech Speech synthesis in 220+ voices and 40+ languages. Translation AI Language detection, translation, and glossary support.
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Google Cloud — AI and Machine Learning Products and Services | Google Cloud
Document AI is a document processing and understanding platform that takes unstructured data from documents and transforms it into structured data (specific fields, suitable for
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Google Cloud — Vision AI: Image and visual AI tools | Google Cloud
Cloud Vision API is a readily available API (REST and RPC) that allows developers to easily integrate common vision detection features within applications, including image
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Google Cloud — AI Commerce Search | Google Cloud
The Merchandising console empowers your business users to react quickly to market trends and customer behavior and lets you instantly deploy and test new strategies
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Google Cloud — AI and Machine Learning Solutions | Google Cloud
Kraft Heinz uses BigQuery, Vertex AI (now Agent Platform), Gemini, Imagen, and Veo to supercharge innovation and accelerate new product content development time from 8
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Google Cloud — Google AI Studio vs. Gemini Enterprise Agent Platform vs. Gemini Enterprise app | Google Cloud
Gemini in Security Operations and Gemini in Threat Intelligence are now generally available, while Gemini in Security Command Center is currently in preview.
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Google Cloud — https://console.cloud.google.com/agent-platform/model-garden
Google models 80 Partner models 46 Self-deploy partner models 12