Prepare for AI-102 Oct 2022 Exam Changes
Table of Contents
- Introduction
- Overview of AI 102 Exam
- Changes to the Exam
- Exam Format and Structure
- Section 1: Azure Cognitive Services
- Introduction to Azure Cognitive Services
- Cognitive Services Topics
- Section 2: Computer Vision
- Changes in Computer Vision Section
- Understanding Landmark Identification
- Facial Attribute Analysis
- Object Detection
- Section 3: Natural Language Processing
- Introduction to Natural Language Processing
- Language Translation
- Building Language Models
- Optimizing Language Models
- Section 4: Question Answering Solution
- Question Answering Solution Overview
- Changes in Question Answering Solution Section
- Section 5: Knowledge Mining
- Introduction to Knowledge Mining
- Cognitive Search
- AI Enrichment Pipeline
- Knowledge Store and Indexing
- Section 6: Conversational AI Solutions
- Introduction to Conversational AI Solutions
- Logic for Bots and Bot Framework
- Changes in Conversational AI Solutions Section
- Conclusion
- Resources and Further Learning
AI 102 Exam: Designing and Implementing a Microsoft Azure AI Solution
The AI 102 exam, which focuses on designing and implementing a Microsoft Azure AI solution, is undergoing some changes. In this article, we will discuss the upcoming changes to the exam as announced by Microsoft. We will also provide an overview of the exam and explore each section in Detail to help You prepare effectively.
1. Introduction
As the field of artificial intelligence continues to evolve, Microsoft recognizes the need for professionals who are skilled in designing and implementing AI solutions on the Azure platform. The AI 102 exam aims to assess your knowledge and proficiency in various aspects of Azure AI services.
2. Overview of AI 102 Exam
- Changes to the Exam
Microsoft has recently announced changes to the AI 102 exam, specifically the English version of the exam, which will take effect on October 25th, 2022. Fortunately, these changes are not expected to be significant, and you have ample time to prepare for the updated exam.
- Exam Format and Structure
The AI 102 exam consists of five major sections, each focusing on specific domains of Azure AI services. The weightage allotted to each section remains unchanged. Let's Delve into the details of each section and the changes you can expect.
3. Section 1: Azure Cognitive Services
- Introduction to Azure Cognitive Services
Azure Cognitive Services form the backbone of AI solutions in Azure. This section covers various cognitive services and their applications. Topics include computer vision, natural language processing, and more.
- Cognitive Services Topics
The topics covered in this section are expected to remain the same in the updated exam. They encompass speech recognition, text analytics, sentiment analysis, and more. Familiarize yourself with these topics to ensure a strong foundation for the rest of the exam.
4. Section 2: Computer Vision
- Changes in Computer Vision Section
While the overall structure of the computer vision section remains unchanged, there are some subtle modifications worth noting. One notable change is the removal of the requirement to identify celebrities using the computer vision API. Microsoft is restricting the use of the API for facial matching, including celebrity recognition.
- Understanding Landmark Identification
The ability to identify landmarks using the computer vision API continues to be a key skill tested in the exam. Ensure you understand the principles and techniques behind landmark identification to confidently tackle this section.
- Facial Attribute Analysis
In the updated exam, the analyze facial attributes requirement has been eliminated. Microsoft has placed restrictions on accessing attributes such as eyebrow Shape and nose shape using the face API without explicit permission. Therefore, this topic is no longer included in the exam.
- Object Detection
The object detection component remains unchanged. It assesses your ability to utilize Azure AI services for detecting and classifying objects in images and videos. Make sure to practice object detection techniques to excel in this section.
5. Section 3: Natural Language Processing
- Introduction to Natural Language Processing
Natural Language Processing (NLP) plays a crucial role in AI solutions. This section provides an introduction to NLP and its applications in Azure. It covers topics such as language translation, building language models, and optimizing them.
- Language Translation
Language translation continues to be a significant part of the exam. You will be tested on your understanding of language translation principles and your ability to utilize Azure AI services for translation purposes.
- Building Language Models
The process of building language models enables AI solutions to understand and generate human language effectively. This aspect of NLP is covered extensively in the exam. Ensure you are comfortable with techniques for building and fine-tuning language models.
- Optimizing Language Models
Optimizing language models is essential for maximizing their performance. This section focuses on techniques for optimizing language models, including fine-tuning, leveraging pre-trained models, and improving accuracy.
6. Section 4: Question Answering Solution
- Question Answering Solution Overview
Developing question answering solutions with Azure AI services is a key objective of this section. You will be tested on your ability to design and implement question answering models using Azure AI technologies.
- Changes in Question Answering Solution Section
No significant changes have been made to the question answering solution section. The requirements and topics remain consistent with the previous version of the exam.
7. Section 5: Knowledge Mining
- Introduction to Knowledge Mining
Knowledge mining involves extracting insights and valuable information from unstructured data. This section focuses on the concepts and techniques of knowledge mining using Azure AI services.
- Cognitive Search
Cognitive search allows you to build powerful search experiences on your data. This topic covers techniques for ingesting, enriching, and searching through large volumes of data using Azure Cognitive Search.
- AI Enrichment Pipeline
The AI enrichment pipeline enables you to enrich your data with AI-powered capabilities. This section explores techniques for integrating Azure Cognitive Services into your data pipeline for enhanced insights and analysis.
- Knowledge Store and Indexing
Knowledge store and indexing are vital components of knowledge mining. This section delves into the process of storing and indexing structured and unstructured data, enabling efficient retrieval and analysis.
8. Section 6: Conversational AI Solutions
- Introduction to Conversational AI Solutions
Conversational AI solutions rely on technologies such as chatbots and virtual assistants to provide interactive and personalized user experiences. This section introduces the concepts and principles of building conversational AI solutions on Azure.
- Logic for Bots and Bot Framework
Understanding the logic for bots and leveraging the Bot Framework to develop conversational AI solutions are crucial skills tested in this section. Ensure you are familiar with the functionalities of the Bot Framework and its role in building bots.
- Changes in Conversational AI Solutions Section
No significant changes have been made to the conversational AI solutions section. The requirements and topics remain consistent with the previous version of the exam.
9. Conclusion
In conclusion, the AI 102 exam is undergoing some changes, mostly related to the restrictions Microsoft has placed on certain aspects of Azure AI services, such as facial recognition and celebrity identification. These changes should not significantly impact your preparation. Make sure to revise the updated exam syllabus and focus on the revised topics to ensure success.
10. Resources and Further Learning
To further enhance your understanding and prepare for the AI 102 exam, we recommend exploring the following resources:
- AI 102 course on Udemy by Scott Duffy
- Official Microsoft documentation on Azure AI services
- Practice exams and sample questions available online
- Collaborating with fellow professionals and participating in study groups
Remember, the key to success is thorough preparation and hands-on experience with Azure AI services. Best of luck in your exam preparation Journey!
Highlights
- The AI 102 exam is undergoing changes to the English version, effective from October 25th, 2022.
- Changes mainly include restrictions on facial recognition and celebrity identification using Azure's computer vision API.
- The exam comprises six sections, covering Azure Cognitive Services, Computer Vision, Natural Language Processing, Question Answering Solutions, Knowledge Mining, and Conversational AI Solutions.
- Familiarize yourself with the principles and techniques behind Azure AI services, such as language translation, object detection, and knowledge mining.
- Practice using the Bot Framework for building conversational AI solutions effectively.
FAQ
Q: Are the changes in the AI 102 exam significant?
A: No, the changes are relatively minor and mainly revolve around restrictions on specific aspects of facial recognition and celebrity identification.
Q: How can I prepare for the AI 102 exam?
A: We recommend taking an AI 102 course, referring to official Microsoft documentation, practicing with sample questions, and gaining hands-on experience with Azure AI services.
Q: Are there any resources available for further learning?
A: Yes, apart from the official documentation and practice exams, you can benefit from online courses, study groups, and collaborating with professionals in the field.