Microsoft AI-102 Exam Syllabus Topics:

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102

It is a widespread disillusionment that the market fails to provide high quality practice materials for exam candidates. However, our AI-102 practice materials are different. It is incontrovertible high quality and high accuracy practice materials that have helped more than 98 percent of exam candidates who choose our AI-102 real test gets the certificate successfully. So we totally understand you inmost thoughts, and the desire to win the exam as well as look forward to bright future that come along. During your practice process accompanied by our AI-102 study guide, you will not only learn some salutary knowledge of the computer filed, but easily get the certificate you want. Then what made our AI-102 practice materials so amazing? Please have a look of their features as follows.

DOWNLOAD DEMO

Topics of AI-102: Designing and Implementing an Azure AI Solution Exam

Candidates should apprehend the examination topics before they begin of preparation. because it'll extremely facilitate them in touch the core. Our AI-102 exam dumps will include the following topics:

1. Analyze solution requirements (25-30%)

Recommend Cognitive Services APIs to meet business requirements

• Identify automation requirements
• Select the processing architecture for a solution
• Identify components and technologies required to connect service endpoints
• Select the appropriate AI models and services
• Select the appropriate data processing technologies

Map security requirements to tools, technologies, and processes

• Identify which users and groups have access to information and interfaces
• Identify appropriate tools for a solution
• Identify processes and regulations needed to conform with data privacy, protection, and regulatory requirements
• Identify auditing requirements

Select the software, services, and storage required to support a solution

• Identify storage required to store logging, bot state data, and Cognitive Services output
• Identify integration points with other Microsoft services
• Identify appropriate services and tools for a solution

2. Design AI solutions (40-45%)

Design solutions that include one or more pipelines

• Design pipelines that use AI apps
• 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 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

• Design bots that integrate with channels
• Integrate bots and AI solutions
• Integrate bots with Azure app services and Azure Application Insights
• Design bot services that use Language Understanding (LUIS)

Design the compute infrastructure to support a solution

• Identify whether to use a cloud-based, on-premises, or hybrid compute infrastructure
• Select a compute solution that meets cost constraints
• Identify whether to create a GPU, FPGA, or CPU-based solution

Design for data governance, compliance, integrity, and security

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

3. Implement and monitor AI solutions (25-30%)

Implement an AI workflow

• Implement data logging processes
• Define and construct interfaces for custom AI services
• Develop streaming solutions
• Manage the flow of data through the solution components
• Develop AI pipelines
• Create solution endpoints

Integrate AI services with solution components

• Implement Azure Search in a solution
• 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

Monitor and evaluate the AI environment

• Recommend changes to an AI solution based on performance data
• Identify the differences between KPIs, reported metrics, and root causes of the differences
• Monitor AI components for availability
• Maintain an AI solution for continuous improvement
• Identify the differences between expected and actual workflow throughput

Experts

Experience is subservient to knowledge and this is the truth applied to every area. Our experts have experience of the exam for over ten years. So our AI-102 practice materials are their masterpiece full of professional knowledge and sophistication to cope with the exam. They have sublime devotion to their career just like you, and make progress ceaselessly. By keeping close eyes on the current changes in this filed, they make new updates of AI-102 study guide constantly and when there is any new, we will keep you noticed to offer help more carefully.

Who should take the AI-102: Designing and Implementing an Azure AI Solution Exam

The AI-102 Exam certification is an internationally-recognized certification which help to have validation for Azure AI Solution Architects who have ability to accomplish the following technical tasks: analyze solution requirements; design solutions; integrate AI models into solutions; and deploy and manage solutions.

Responsible company

At the moment when you decided to choose our AI-102 real test, we feel the responsibility to be with you during your journey to prepare for the exam. So we clearly understand our duty to offer help in this area. Not only do the AI-102 practice materials perfect but we have considerate company that is willing to offer help 24/7. Besides, our AI-102 study guide has reasonable prices that are accessible for every one of you. So it is incumbent upon us to support you. On the other side, we know the consumers are vulnerable for many exam candidates are susceptible to ads that boost about skills their practice with low quality which may confuse exam candidates like you, so we are trying hard to promote our high quality AI-102 study guide to more people.

Effective encouragement

Our AI-102 study guide can energize exam candidate as long as you are determined to win. During your preparation period, all scientific and clear content can help you control all exam questions appearing in the real exam, and we never confirm to stereotype being used many years ago but try to be innovative at all aspects. Although the AI-102 real test is of great importance, you do not need to be over concerned about it. With scientific review and arrangement from professional experts as your backup, and the most accurate and high quality content, you will cope with it like a piece of cake. So our AI-102 practice materials will be your indispensable practice materials during your way to success.

Introduction to AI-102: Designing and Implementing an Azure AI Solution Exam

Candidates for AI-102 Exam are seeking to prove fundamental knowledge and skills in Designing and Implementing an Azure AI Solution domain. Before taking this exam, aspirants ought to have a solid fundamental information of the concepts shared in preparation guide as well as basic understanding of Azure administration, Azure development, and DevOpss would give an added edge.

This exam validates the ability to use the various services within the Microsoft Azure Artificial Intelligence (AI) portfolio.

It is suggested that professionals accustomed to the ideas and also the technologies represented here by taking relevant training courses. Candidates are expected to have some hands-on experience on bot services that use Language Understanding , bots with Azure Application Insights, creating a GPU, FPGA, or CPU-based solution, implementing AI workflow.

After passing this exam, candidates get a certificate from Microsoft that helps them to demonstrate their proficiency to their clients and employers.