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AI-102 Exam Dumps - Designing and Implementing a Microsoft Azure AI Solution

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Exam Code: AI-102

Exam Name: Designing and Implementing a Microsoft Azure AI Solution

Certification Provider: Microsoft

Corresponding Certifications: Azure AI Engineer Associate , Microsoft Azure , Microsoft Certification

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

Last Update Check: Apr 18, 2024

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What is in the Premium File?

Topic 1, New Update
183 Questions
Topic 2, Case Study 1
2 Questions
Topic 3, Case Study 2
2 Questions
Topic 4, Case Study 3
4 Questions
Topic 5, Case Study 4
3 Questions
Topic 6, Case Study 5
2 Questions
Topic 7, Mixed Questions
99 Questions
Single Choices
167 Questions
Multiple Choices
34 Questions
Drag Drops
33 Questions
Hotspots
61 Questions

Microsoft AI-102 Exam FAQs

Introduction of Microsoft AI-102 Exam!

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.

What is the Duration of Microsoft AI-102 Exam?

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.

What are the Number of Questions Asked in Microsoft AI-102 Exam?

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

What is the Passing Score for Microsoft AI-102 Exam?

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

What is the Competency Level required for Microsoft AI-102 Exam?

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.

What is the Question Format of Microsoft AI-102 Exam?

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

How Can You Take Microsoft AI-102 Exam?

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.

What Language Microsoft AI-102 Exam is Offered?

The Microsoft AI-102 Exam is offered in English.

What is the Cost of Microsoft AI-102 Exam?

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

What is the Target Audience of Microsoft AI-102 Exam?

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.

What is the Average Salary of Microsoft AI-102 Certified in the Market?

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.

Who are the Testing Providers of Microsoft AI-102 Exam?

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

What is the Recommended Experience for Microsoft AI-102 Exam?

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.

What are the Prerequisites of Microsoft AI-102 Exam?

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.

What is the Expected Retirement Date of Microsoft AI-102 Exam?

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.

What is the Difficulty Level of Microsoft AI-102 Exam?

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

What is the Roadmap / Track of Microsoft AI-102 Exam?

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.

What are the Topics Microsoft AI-102 Exam Covers?

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

What are the Sample Questions of Microsoft AI-102 Exam?

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?

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