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.

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

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After the client pay successfully they could receive the mails about AI-102 guide questions our system sends by which you can download our test bank and use our study materials in 5-10 minutes. The mail provides the links and after the client click on them the client can log in and gain the AI-102 study materials to learn. The procedures are simple and save clients' time. For the client the time is limited and very important and our product satisfies the client's needs to download and use our AI-102 practice engine immediately.

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

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

Map security requirements to tools, technologies, and processes

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

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

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

2. Design AI solutions (40-45%)

Design solutions that include one or more pipelines

• Select an AI solution that meet cost constraints
• Design a strategy for ingest and egress data
• Design pipelines that call Azure Machine Learning models
• Design the integration point between multiple workflows and pipelines
• Design pipelines that use AI apps
• Define an AI application workflow process

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

Design the compute infrastructure to support a solution

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

Design for data governance, compliance, integrity, and security

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

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

Implement an AI workflow

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

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
• Maintain an AI solution for continuous improvement
• Identify the differences between expected and actual workflow throughput
• Identify the differences between KPIs, reported metrics, and root causes of the differences
• Monitor AI components for availability

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High quality to let the client learn efficiently

There are many merits of our product on many aspects and we can guarantee the quality of our AI-102 practice engine. Firstly, our experienced expert team compile them elaborately based on the real exam and our study materials can reflect the popular trend in the industry and the latest change in the theory and the practice. Secondly, both the language and the content of our AI-102 study materials are simple. The language of our study materials is easy to be understood and suitable for any learners. The content emphasizes the focus and seizes the key to use refined AI-102 questions and answers to let the learners master the most important information by using the least amount of them. Three, we provide varied functions to help the learners learn our study materials and prepare for the exam. The AI-102 self-learning and self-evaluation functions help the learners check their learning results and the statistics and report functions help the learners find their weak links and improve them promptly . The timing function of our AI-102 guide questions help them adjust their speeds to answer the questions and the function of stimulating the exam can help the learners adapt themselves to the atmosphere and pace of the exam. Thus the learners can master our AI-102 practice engine fast, conveniently and efficiently.

What is the duration, language, and format of AI-102: Designing and Implementing an Azure AI Solution Exam

• Passing Score: 700 / 1000
• This is beta exam.
• Length of Examination: 50 mins
• Type of Questions: This test format is multiple choice.
• Number of Questions: 40 to 60 questions(Since Microsoft does not publish this information, the number of exam questions may change without notice.)
• Language: English, Japanese, Chinese (Simplified), Korean.

For candidates that are aiming to develop their skills in building, operating, and deploying AI solutions with the help of such services as Azure Applied AI services and Azure Cognitive Services, the best variant is to pass the Microsoft AI-102 exam. This exam is all about designing and applying a Microsoft Azure AI Solution, and leads to getting the Microsoft Certified: Azure AI Engineer Associate certification.

Passing this exam implies that certified candidates are able to participate in all stages of AI solutions development from defining requirements to performance tuning and monitoring. These professionals cooperate with solution architects, as well as with data engineers and scientists, AI developers to show their vision and create comprehensive AI solutions.

You may urgently need to attend Microsoft certificate exam and get the certificate to prove you are qualified for the job in some area. But what certificate is valuable and useful and can help you a lot? Passing the test certification can help you prove that you are competent in some area and if you buy our AI-102 study materials you will pass the test almost without any problems. There are many benefits after you pass the certification such as you can enter in the big company and double your wage. Our AI-102 study materials boost high passing rate and hit rate so that you needn't worry that you can't pass the test too much. We provide free tryout before the purchase to let you decide whether it is valuable or not by yourself. To further understand the merits and features of our AI-102 practice engine you could look at the introduction of our product in detail.

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