AI-102 - Study Material - Designing and Implementing a Microsoft Azure AI Solution

Microsoft AI-102 is a certification exam that tests a candidate's knowledge and skills in designing and implementing Artificial Intelligence (AI) solutions using Microsoft Azure AI services. The exam covers topics such as designing and implementing AI solutions, using Azure Cognitive Services, Azure Machine Learning, and Azure Bot Service.

The Microsoft AI-102 exam does not have a set duration. The exam is designed to assess the candidate's knowledge and skills related to the Microsoft Azure AI Engineer Associate certification. The exam is composed of a series of multiple-choice and performance-based questions that must be completed within the allotted time.

There are approximately 60 questions on the Microsoft AI-102 exam.

The passing score required for the Microsoft AI-102 exam is 700 out of 1000.

The Microsoft AI-102 exam is designed for individuals who have a fundamental understanding of artificial intelligence (AI) concepts and technologies, including machine learning, deep learning, natural language processing, and computer vision. Candidates should have a basic understanding of the principles of AI, including supervised and unsupervised learning, and be able to apply AI techniques to solve problems. Candidates should also have experience with programming languages such as Python, R, and C#, and be familiar with popular AI frameworks such as TensorFlow, Keras, and PyTorch.

Microsoft AI-102 exam consists of multiple-choice, drag and drop, build list, and hot area questions.

Microsoft offers the AI-102 exam in both online and testing center formats. The online format is a proctored exam that can be taken from home or a secure location. The exam must be taken within a 45-minute window. The testing center format requires you to make a booking at a local Microsoft testing center. You have up to 3 hours to complete the exam in the testing center.

The Microsoft AI-102 Exam is offered in English.

The cost of the Microsoft AI-102 exam is $165 USD.

The Target Audience for the Microsoft AI-102 Exam is IT professionals and developers who have experience in designing, building, and deploying AI solutions. This exam is designed for those who have a deep understanding of AI models, algorithms, and services available in Microsoft Azure.

The exact salary range after achieving the Microsoft AI-102 certification will depend on your experience level, job role, and location. According to PayScale, the average salary for someone with the AI-102 certification is $114,813 per year.

Microsoft offers official practice tests for the AI-102 exam. The practice tests are provided by MeasureUp and are available to purchase separately.

The Microsoft AI-102 exam is designed for candidates who have at least 6 to 12 months of experience developing AI solutions with Microsoft Azure AI services. Experience with Azure Cognitive Services, Container Orchestration with Azure Kubernetes Service, and Open Source AI Frameworks such as TensorFlow and PyTorch is recommended. In addition, experience with AI model development, data engineering, and DevOps is also recommended.

The prerequisite for the Microsoft AI-102 exam is the Microsoft AI-100 exam. Candidates should have knowledge of data, machine learning, and artificial intelligence fundamentals.

The official website to check the expected retirement date of Microsoft AI-102 exam is https://www.microsoft.com/en-us/learning/exam-list.aspx.

The Microsoft AI-102 exam is a certification track/roadmap designed to validate a candidate's ability to design, implement, and maintain Microsoft AI solutions. This exam is a part of the Microsoft Certified: Azure AI Engineer Associate certification. The AI-102 exam covers a range of topics related to AI development, including the design and implementation of AI solutions, data preparation, model training, and deployment. Candidates must demonstrate their ability to use Azure Machine Learning and Cognitive Services to create AI solutions.

Microsoft AI-102 exam covers the following topics: 1. AI Fundamentals: This section covers the fundamentals of artificial intelligence, including its history, types, and applications. It also covers the core concepts of machine learning, such as supervised and unsupervised learning, and deep learning. 2. AI Business Applications: This section covers the applications of AI in business, including customer segmentation, predictive analytics, and natural language processing. It also covers the use of AI in marketing, finance, and operations. 3. AI Infrastructure: This section covers the infrastructure needed to support AI applications, including hardware, software, and cloud computing. It also covers the security and privacy considerations for AI applications. 4. AI Development and Deployment: This section covers the development and deployment of AI applications, including the use of frameworks, languages, and tools. It also covers the deployment of AI applications to the cloud and the management of AI applications

1. What are the main components of Microsoft’s AI-102 certification? 2. What are the primary benefits of using Azure Machine Learning? 3. How do you deploy a machine learning model in Azure? 4. What is the purpose of the Azure Cognitive Services APIs? 5. What is the difference between supervised and unsupervised machine learning? 6. What is the role of the Azure Bot Service in building intelligent applications? 7. How does the Azure Machine Learning Studio simplify the development of machine learning models? 8. What are the key considerations for creating a successful AI strategy? 9. What is the difference between natural language processing (NLP) and natural language understanding (NLU)? 10. How can you use the Azure Machine Learning Workbench to deploy models to production?

The Microsoft AI-102 exam is considered to be an intermediate-level exam.