How to Prepare For AI-102: Designing and Implementing an Azure AI Solution Exam

Microsoft-AI-102

Preparation Guide for AI-102: Designing and Implementing an Azure AI Solution Exam

Introduction

Microsoft has created a track for Azure professionals analyze the requirements for AI solutions, recommend appropriate tools and technologies, and implements solutions that meet scalability and performance requirements, to get certified this platform. solution architects translate the vision and work with data scientists, data engineers, IoT specialists, and AI developers to build complete end-to-end solutions. The assessment is based on a rigorous exam using industry standard methodology to determine whether a candidate meets Microsoft’s proficiency standards.

This certification been actually designed for aspirants design and implement AI apps and agents that use Microsoft Azure Cognitive Services.

For this exam candidate having proficiency in using cognitive service APIs to meet business requirements, appropriate AI models and services, automation requirements, data privacy and protection , bot state data , cognitive service output would be an added advantage.

Certification is evidence of your skills, expertise in those areas in which you like to work. If candidate wants to work as AI solution architect and prove his knowledge, certification offered by Microsoft. This AI-102 Exam Certification helps a candidate to validates his skills in Azure platform.

In this guide, we will cover the AI-102: Designing and Implementing an Azure AI Solution Certification exam, AI-102: Designing and Implementing an Azure AI Solution Certified professional salary and all aspects of the AI-102: Designing and Implementing an Azure AI Solution Certification.

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.

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 dumps will include the following topics:

1. 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

2. 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

3. 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 actual workflow throughput
• Maintain an AI solution for continuous improvement
• Monitor AI components for availability
• Recommend changes to an AI solution based on performance data

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.

How to study the AI-102: Designing and Implementing an Azure AI Solution Exam

Preparation of certification exams could be covered with two resource types . The first one are the study guides, reference books and study forums that are elaborated and appropriate for building information from ground up. Apart from them video tutorials and lectures are a good option to ease the pain of through study and are relatively make the study process more interesting nonetheless these demand time and concentration from the learner. Smart candidates who wish to create a solid foundation altogether examination topics and connected technologies typically mix video lectures with study guides to reap the advantages of each but practice exams or practice exam engines is one important study tool which goes typically unnoted by most candidates. Practice exams are designed with our experts to make exam prospects test their knowledge on skills attained in course, as well as prospects become comfortable and familiar with the real exam environment. Statistics have indicated exam anxiety plays much bigger role of students failure in exam than the fear of the unknown. Certification-questions expert team recommends preparing some notes on these topics along with it don’t forget to practice AI-102 dumps which had been written by our expert team, each of these can assist you loads to clear this exam with excellent marks.

AI-102: Designing and Implementing an Azure AI Solution Certification Path

The Microsoft Designing and Implementing an Azure AI Solution Certification includes only one AI-100 Exam.

How much AI-102: Designing and Implementing an Azure AI Solution Exam Cost

The price of the Microsoft Mobility and Devices Fundamentals exam is $165 USD, for more information related to exam price please visit to Microsoft Training website as prices of Microsoft exams fees get varied country wise.

How to book the AI-102: Designing and Implementing an Azure AI Solution Exam

These are following steps for registering the AI-102: Designing and Implementing an Azure AI Solution exam.

• Step 1: Visit to Microsoft Learning and search for AI-102: Developing Solutions for Microsoft Azure.
• Step 2: Sign up/Login to Pearson VUE account
• Step 3: Select local centre based on your country, date, time and confirm with a payment method.

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

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

AI-102: Designing and Implementing an Azure AI Solution Exam Certified Professional salary

The average salary of a AI-102: Designing and Implementing an Azure AI Solution Exam Certified Expert in

• United State - 120,000 USD
• India - 20,00,327 INR
• Europe - 90,547 EURO
• England - 90,532 POUND

The benefit of obtaining the AI-102: Designing and Implementing an Azure AI Solution Exam Certification

• This certification will be judging your skills and knowledge on your understanding Designing and Implementing an Azure AI Solution concepts & Understanding of how to operate on Planning and Administering Designing and Implementing an Azure AI Solution .
• This certification credential will give you edge over other counterparts. Apart from knowledge from AI-102: Designing and Implementing an Azure AI Solution Exam.
• AI-102 Certification is distinguished among competitors. AI-102 certification can give them an edge at that time easily when candidates appear for employment interview, employers are very fascinated to note one thing that differentiates the individual from all other candidates.
• AI-102 certification has more useful and relevant networks that help them in setting career goals for themselves. AI-102 networks provide them with the correct career guidance than non certified generally are unable to get.
• AI-102 certified candidates will be confident and stand different from others as their skills are more trained than non-certified professionals.
• AI-102 Exam provide proven knowledge to use the tools to complete the task efficiently and cost effectively than the other non-certified professionals lack in doing so.
• AI-102 Certification provides practical experience to candidates from all the aspects to be a proficient worker in the organization.
• AI-102 Certifications provide opportunities to get a job easily in which they are interested in instead of wasting years and ending without getting any experience.
• AI-102 credential delivers higher earning potential and increased promotion opportunities because it shows a good understanding of designing and implementing an Azure AI Solution

Difficulty in Writing AI-102: Designing and Implementing an Azure AI Solution Exam

AI-102: Designing and Implementing an Azure AI Solution is a privileged achievement one could be graced with. But adverse to general notion certifying with Microsoft is not that challenging if the candidates have proper preparation material to pass the AI-102: Designing and Implementing an Azure AI Solution exam with good grades. Questions answers and clarifications which are designed in form of Certification-questions dumps make sure to cover entire course content. Certification-questions have a brilliant AI-102: Designing and Implementing an Azure AI Solution dumps with most recent and important questions and answers in PDF files. Certification-questions is sure about the exactness and legitimacy of AI-102: Designing and Implementing an Azure AI Solution dumps and in this manner. Candidates can easily pass the AI-102: Designing and Implementing an Azure AI Solution exam with genuine AI-102: Designing and Implementing an Azure AI Solution dumps and get MICROSOFT certification. These dumps are viewed as the best source to understand the AI-102: Designing and Implementing an Azure AI Solution well by simply pursuing examples questions and answers. If candidate completes practice the exam with certification AI-102 dumps along with self-assessment to get the proper idea on MICROSOFT accreditation and to ace the certification exam.

For more info read reference:

microsoft learning site
AI-102 Skills measured
Publish a Machine Learning Experiment with Microsoft Azure Machine Learning Studio
Process and translate speech with Azure Cognitive Speech Services