Motifs of AI- 102 Designing and enforcing an Azure AI result test
Because it ’ll extremely grease them in touch the core. Our AI- 102 dumps will include the following motifs
1. Dissect result conditions (25- 30)
Recommend Cognitive Services APIs to meet business conditions
• elect the processing armature for a result
• elect the applicable data processing technologies
• elect the applicable AI models and services
• Identify factors and technologies needed to AI-102 Questions connect service endpoints
• Identify robotization conditions
Chart security conditions to tools, technologies, and processes
• Identify processes and regulations demanded to conform to data sequestration, protection, and nonsupervisory conditions
• Identify which druggies and groups have access to information and interfaces
• Identify applicable tools for a result
• Identify auditing conditions
Elect the software, services, and storehouse needed to support a result
• Identify applicable services and tools for a result
• Identify integration points with other Microsoft services
• Identify storehouse needed to store logging, bot state data, and Cognitive Services affair
Design AI results (40- 45) | Design results that include one or further channels
• Define an AI operation workflow process
• Design a strategy for ingest and egress data
• Design the integration point between multiple workflows and channels
• Design channels that use AI apps
• Design channels that call Azure Machine Learning models
• elect an AI result that meet cost constraints
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