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Microsoft AI-100 : Designing and Implementing an Azure AI Solution Exam

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Test Number : AI-100
Test Name : Designing and Implementing an Azure AI Solution
Vendor Name : Microsoft
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AI-100 test Format | AI-100 Course Contents | AI-100 Course Outline | AI-100 test Syllabus | AI-100 test Objectives

Candidates for this test analyze the requirements for AI solutions, recommend appropriate tools and technologies, and implements solutions that meet scalability and performance requirements.

Candidates translate the vision from solution architects and work with data scientists, data engineers, IoT specialists, and AI developers to build complete end-to-end solutions. Candidates design and implement AI apps and agents that use Microsoft Azure Cognitive Services and Azure Bot Service. Candidates can recommend solutions that use open source technologies.

Analyze solution requirements (25-30%)
Recommend Cognitive Services APIs to meet business requirements
� select the processing architecture for a solution
� select the appropriate data processing technologies
� select the appropriate AI models and services
� identify components and technologies required to connect service endpoints
� identify automation requirements

Map security requirements to tools, technologies, and processes
� identify processes and regulations needed to conform with data privacy, protection, and regulatory requirements
� identify which users and groups have access to information and interfaces
� identify appropriate tools for a solution
� identify auditing requirements

Select the software, services, and storage required to support a solution
� identify appropriate services and tools for a solution
� identify integration points with other Microsoft services
� identify storage required to store logging, bot state data, and Cognitive Services output

Design AI solutions (40-45%)
Design solutions that include one or more pipelines
� define an AI application workflow process
� design a strategy for ingest and egress data
� design the integration point between multiple workflows and pipelines
� design pipelines that use AI apps
� design pipelines that call Azure Machine Learning models
� select an AI solution that meet cost constraints

Design solutions that uses Cognitive Services
� design solutions that use vision, speech, language, knowledge, search, and anomaly detection APIs

Design solutions that implement the Bot Framework
� integrate bots and AI solutions
� design bot services that use Language Understanding (LUIS)
� design bots that integrate with channels
� integrate bots with Azure app services and Azure Application Insights

Design the compute infrastructure to support a solution
� identify whether to create a GPU, FPGA, or CPU-based solution
� identify whether to use a cloud-based, on-premises, or hybrid compute infrastructure
� select a compute solution that meets cost constraints

Design for data governance, compliance, integrity, and security
� define how users and applications will authenticate to AI services
� design a content moderation strategy for data usage within an AI solution
� ensure that data adheres to compliance requirements defined by your organization
� ensure appropriate governance of data
� design strategies to ensure that the solution meets data privacy regulations and industry standards

Implement and monitor AI solutions (25-30%)
Implement an AI workflow
� develop AI pipelines
� manage the flow of data through the solution components
� implement data logging processes
� define and construct interfaces for custom AI services
� create solution endpoints
� develop streaming solutions

Integrate AI services with solution components
� configure prerequisite components and input datasets to allow the consumption of Cognitive Services APIs
� configure integration with Cognitive Services
� configure prerequisite components to allow connectivity to the Bot Framework
� implement Azure Search in a solution

Monitor and evaluate the AI environment
� identify the differences between KPIs, reported metrics, and root causes of the differences
� identify the differences between expected and real workflow throughput
� maintain an AI solution for continuous improvement
� monitor AI components for availability
� recommend changes to an AI solution based on performance data

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Microsoft and Latest Topics

Microsoft starts off construction in Elk Grove, Chicago | AI-100 dump questions and Dumps

Microsoft has begun constructing a $123 million data center campus in Elk Grove Village close Chicago.

The 37-acre plot in the Elk Grove technology Park might finally grasp three facts core constructions totaling 400,000 sq ft (37,000 sq m), assisting Microsoft's Azure and different cloud features. Microsoft purchased it for $fifty two million in January 2020 and applied to build there in August, according to experiences in Chicago's Journal & issues news web site. The Park is a $1 billion development close Chicago's O'Hare Airport, owned with the aid of Brennan funding community, with real estate large CBRE because the unique selling agent.

Microsoft has begun building the first records core on this web site, in accordance with construction recreation considered by means of Journal & subject matters reporter Tom Robb: "riding down both Oakton highway or Higgins street between Busse and Arlington Heights roads, construction crews may also be seen grading and working on the preliminary base of the primary Microsoft building on the campus, which takes up nearly all of the east aspect of the Elk Grove expertise Park."

Chicago become rated the 2d-most eye-catching facts center vicinity in the world, in a listing organized by means of Cushman & Wakefield this year, and Elk Grove already residences five information center campuses. The eighty five-acre Elk Grove know-how become created in 2017, and ground turned into damaged in 2018, for a website that's supposed to dangle industrial trends in addition to information centers.

The Park has 30MW of power purchasable, with an additional 100MW being added within the coming months. a new sub-station is because of open this, due to work supported through Microsoft, in line with local reviews.

Microsoft is now below power to bring, according to the Journal, which has considered the permits. the first building is valued at $123 million and has already introduced the village $1.5 million in let expenses. once a let has been granted, constructing work have to be begun within 12 months and completed inside a 12 months of the birth of development. That may still be no difficulty for a hyperscale statistics middle, which would constantly be constructed at a breakneck tempo, but officials have informed the Journal that Microsoft may have an extension, may still it hit problems - as lengthy because it's making "giant progress".

three hundred and sixty five days ago, the Elk Grove Villager suggested that Microsoft also bought a three-acre parcel of land which was as soon as home to an Elk Grove fire station, apparently to enable the utility enterprise ComEd to construct a brand new substation within the South-East nook of the park. The CBRE brochure says this substation is as a result of open this yr. The Villager says the Park comprises the former Busse and is bounded by Higgins road, energetic Boulevard, Oakton street, and Stanley street. Brennan also pointed out it was inserting a unique emphasis on

The Park additionally has a knowledge core construction owned through T5, and different industrial purchasers together with display Americas and Brett Anthony meals.

Village manager Ray Rummel instructed the Journal, speaking of the Microsoft building: “The buildings are designed to architecturally combine into the excessive-end appearance, aesthetics, landscape, and design guidelines of the technology Park, including the screening of any outdoor equipment and one loading dock per building".

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