Unlock Success: Microsoft AI-102 Questions Dumps You Need

Design results that apply the Bot Framework


Design results that uses Cognitive Services

  • Design results that use vision, speech, language, knowledge, hunt, and anomaly discovery APIs
  • Integrate bots and AI results
  • Design bot services that use Language Understanding (LUIS)
  • Design bots that integrate with channels
  • Integrate bots with Azure app services and Azure operation perceptivity

 Design the cipher structure to support a result

  • Identify whether to produce a GPU, FPGA, or CPU- grounded result
  • Identify whether to use a pall- grounded, on- demesne, or mongrel cipher structure
  • elect a cipher result that meets cost constraints

 Design for data governance, compliance, integrity, and security

  • Define how druggies and operations will authenticate to AI services
  • Design a content temperance strategy for data operation within an AI result
  • insure that data adheres to compliance conditions defined by your association
  • insure applicable governance of data
  • Design strategies to insure that the result meets data sequestration regulations and assiduity norms

 3. Apply and cover AI results (25- 30)

 Apply an AI workflow

  • Develop AI channels
  • Manage the inflow of data through the result factors
  • apply data logging processes
  • Define and construct interfaces for custom AI services
  • produce result endpoints
  • Develop streaming results

 Integrate AI services with result factors

  • Configure prerequisite factors and input datasets to allow the consumption of Cognitive Services APIs
  • Configure integration with Cognitive Services
  • Configure prerequisite factors to allow connectivity to the Bot Framework
  • apply Azure Hunt in a result

 Examiner and estimate the AI terrain

  • Identify the differences between KPIs, reported criteria, and root causes of the differences
  • Identify the differences between anticipated and factual workflow outturn
  • Maintain an AI result for nonstop enhancement
  • Examiner AI factors for vacuity
  • Recommend changes to an AI result grounded on performance data

 Who should take the AI- 102 Designing and enforcing an Azure AI result test?

 The AI- 102 test instrument is an internationally- honored instrument which help to have confirmation for Azure AI-102 Questions Engineers who have capability to negotiate the following specialized tasks dissect result conditions; design results; integrate AI models into results; and emplace and manage results.

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