AI-102
| Article | Key Takeaways |
|---|---|
| Exam AI-102 topic 4 question 9 discussion | – Query key for Azure Cognitive Search may be compromised, leading to unauthorized access – To prevent access, disable the search index and regenerate the query keys – Minimize app downtime by creating a secondary index before disabling the primary index |
| Free Microsoft Azure Solutions AI-102 exam questions [New] | – Language Understanding (LUIS) primary key is needed to enable intent recognition in speech with LUIS app – Must provide correct LUIS location/region when creating SpeechConfig object |
| Exam AI—102 | – AI-102 focuses on skills for building, managing, deploying AI solutions on Azure – Covers security, privacy, compliance considerations for Cognitive Services – LUIS integrates well with other Azure services like bots, QnA Maker, and Speech |
| Study guide for Exam AI-102 | – AI-102 exam updated Feb 2024 to refer to Azure Cognitive Search as Azure AI Search – Study guide summarizes purpose, audience, skills measured, and changes to exam – Focus studies on GA features, though some preview feature questions may appear |
| Microsoft Azure Exam AI-102 Certification – Whizlabs | – Whizlabs AI-102 prep course features mock exams and objective-based practice tests – Includes exhaustive explanations with each practice question – Helps assess readiness for the Microsoft Azure AI Engineer Associate certification |
The AI-102 exam is an important certification for professionals looking to demonstrate their ability to design and implement artificial intelligence (AI) solutions on Microsoft Azure. This certification exam focuses on skills like computer vision, natural language processing, knowledge mining, and conversational AI.
Earning the Microsoft Certified: Azure AI Engineer Associate certification proves you have the technical skills needed to successfully build, manage, and deploy AI solutions on Azure. The AI-102 exam is a key part of earning this certification.
Related Certifications
The AI-102 exam leads directly to the Microsoft Certified: Azure AI Engineer Associate certification. This validates your expertise in leveraging Azure cognitive services and other AI capabilities to build smart solutions.
Professionals with this certification are recognized as specialists in deploying AI workloads like bots, agents, and Internet of Things (IoT) solutions on Azure. The certification demonstrates you can manage responsible AI systems that treat users fairly, respect privacy, and maintain transparency.
Exam Overview
Purpose of the AI-102 Exam
The purpose of the AI-102 exam is to validate your ability to accomplish core technical tasks for designing and implementing an Azure AI solution. These include planning, creating, deploying, managing, monitoring, and securing AI services on the Azure platform.
Target Audience for the Exam
The AI-102 exam is designed for Azure AI Engineers who collaborate with stakeholders to identify AI solution requirements. They are responsible for designing, implementing, managing, and maintaining AI solutions that leverage Azure Cognitive Services and other Microsoft technologies.
Skills Measured
The AI-102 exam measures skills across six key areas:
- Plan and manage an Azure AI solution
- Implement decision support solutions
- Implement computer vision solutions
- Implement natural language processing solutions
- Implement knowledge mining solutions
- Implement generative AI solutions
Exam Details
Languages Available
The AI-102 exam is available in 11 languages: English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Chinese (Traditional), and Italian.
Exam Format and Length
The exam is composed of 40-60 multiple choice and multi-select questions. Candidates have 130 minutes to complete the exam.
Question Types
The AI-102 exam features a variety of question types including case studies, build lists, active screen questions, best answer questions, and repeated answer choices.
Scoring and Passing Score
The exam uses a score scale of 700 to 1000 points. A minimum score of 700 points (70%) is required to pass the exam and earn the certification.
Two Ways to Prepare
When preparing for the AI-102 exam, it is important to develop a study plan while also gaining hands-on experience.
Develop a Study Plan
Creating a study plan allows you to focus your preparation efforts on the skills measured in the exam. Set aside regular study time over a period of weeks or months leading up to your exam date. Outline the exam objectives and map practice tests, online courses, documentation, and other resources to those objectives.
Gain Hands-On Experience
While studying reference materials will build your foundational knowledge, it is crucial to supplement book learning with practical experience. Hands-on practice with Azure AI services through step-by-step tutorials, sandbox environments, and real-world sample scenarios will help reinforce key concepts.
Utilizing Resources
The Microsoft offers an array of resources to help you prepare for the AI-102 exam:
Microsoft Learn – Interactive modules let you learn by doing with guided hands-on labs and skills assessments.
Microsoft Certification Blog – Get updates on certification program changes, new role-based exams, and preparation tips.
Exam AI-102 Study Guide – Download the official study guide which summarizes exam content and provides topic review materials.
AI-102 Practice Tests – Assess your exam readiness with practice tests from MeasureUp or Whizlabs containing scored practice questions.
Designing and Implementing a Microsoft Azure AI Solution
Now let’s explore the content within the AI-102 exam itself, which focuses on designing and implementing AI solutions leveraging Microsoft Azure.
Exam Content Overview
The content domains measured in the exam align to key skills needed to deploy Azure AI services across natural language, speech, vision, and decision support workloads. This includes planning, deployment, monitoring, and management of responsible AI systems.
Preparing for AI-102 – Plan and Manage an Azure AI Solution (Part 1 of 6)
The first section of the exam focuses on planning and managing an Azure AI solution, covering 15-20% of the content. This includes:
- Selecting appropriate Azure AI services for vision, speech, language, decision, and generative AI workloads
- Planning, creating, and deploying Azure Cognitive Services, Azure Bot Service, and other AI services
- Managing, monitoring, and securing AI services on Azure
- Leveraging responsible AI principles on transparency, fairness, privacy, and software quality
When preparing, focus on architectural design, deployment, and responsible management of Azure AI systems. Hands-on experience with services like Computer Vision and Language Understanding is key.
Study Resources
| Source | Key Takeaways |
|---|---|
| Ahmet Eren’s LinkedIn Post | – Ahmet Eren achieved the Azure AI Engineer Associate certification. – Highlights the importance of understanding the difference between Control Plane and Data Plane in Azure. |
| Whizlabs Microsoft Azure Exam AI-102 Certification | – Offers 3 full-length mock exams with over 100 unique questions. – Provides objective-based practice tests and exhaustive explanations with every question. |
| Study Guide for Exam AI-102 | – Azure Cognitive Search has been renamed to Azure AI Search. – The study guide helps focus studies on the exam’s objectives and includes updates to the exam content. |
| Exam AI-102 PDF | – Details key learning objectives for the AI-102 exam. – Covers planning and managing Azure Cognitive Services and implementing computer vision solutions. |
| AZ-104 Microsoft Azure Administrator Associate Certification SUPER Study Cram | – Provides a comprehensive study cram for the AZ-104 exam. – Discusses various Azure services and features, which may be relevant for cross-certification insights. |
To supplement learning, utilize the following preparation resources:
Official Study Guide
Microsoft publishes an official study guide summarizing content, skills measured, and changes to the exam. Review this regularly for updates.
Online Courses and Learning Paths
Structured online learning paths like on Pluralsight provide in-depth training on Azure AI services covered in the exam through video courses.
Practice Tests
Measure your exam readiness by taking timed practice tests from providers like Whizlabs and confirming you can pass with a high score.
Passing Rate and Exam Feedback
Understanding the historical passing rate and reading candid feedback from those who have taken the AI-102 exam can provide motivation and insight into properly preparing:
Passing Score Reflects Difficulty
With a passing score of 70% (700/1000 points) needed, the AI-102 exam proves moderately difficult for most test-takers. Focus your study plan on hands-on readiness with key services.
Experiences from Past Test Takers
Feedback shared online indicates most find the content on vision and language solutions to be highly technical and challenging. Generative AI and responsible AI topics also stretch some outside their daily experience.
Supplemental Exam Preparation
While the official Microsoft study materials provide a solid AI-102 exam preparation foundation, many candidates also utilize supplementary resources to reinforce and expand their knowledge:
Hands-On Practice Environments
Structured practice labs from providers like Whizlabs simulate the Azure portal interface with step-by-step tasks for configuring Cognitive Services APIs. These realistic labs identify knowledge gaps.
Online Test Banks
Large banks of practice questions from sites like Udemy allow custom quiz generation based on topic, difficulty level, and question type. Frequent testing builds familiarity with question formats.
Exam Refresher Courses
As a final preparation step, condensed one or two day refresher courses review key concepts across all AI-102 content domains. These keep knowledge fresh leading up to your exam date.
Day Before the Exam
The day prior to taking the certification exam should focus on last-minute preparation:
Confirm Exam Details
Verify your exam date, time, location details, and ID requirements to avoid issues. Arrive early to get settled.
Quick Knowledge Review
Briefly review flashcards on Azure AI services and brush up on any weaker domains without overloading yourself.
Get Plenty of Rest
Being well-rested, hydrated, and fed will keep you alert and focused during the exam without distractions.
Day of the Exam
On exam day, follow these best practices:
Arrive Early
Arrive at the test center 30 minutes before your appointment to complete sign-in and get comfortable.
Carefully Read All Questions
Avoid careless mistakes by thoroughly reading each question and all possible answers before responding.
Apply Time Management
Keep an eye on the timer and move forward judiciously to complete all questions within the allotted time.
After Taking the Exam
Once you have completed the AI-102 exam, here are next steps to take:
Exam Results
You will receive your pass/fail exam results immediately upon completion. If you passed, celebrate earning your certification!
Identify Knowledge Gaps
If unsuccessful, thoroughly review your score report and identify areas for improvement to study again before re-taking the exam.
Provide Exam Feedback
Consider sharing your exam preparation experiences through ratings, reviews, community posts, or by participating in Microsoft surveys. Your candid input helps improve the program.
Leverage New Certification
Update your professional profiles and resume to highlight your new certification and advertise your elevated Azure AI expertise to employers.
Maintaining Certification
To get ongoing value from your Microsoft Certified: Azure AI Engineer Associate certification:
Renew Every 2 Years
Complete renewal requirements before your certification expires in two years to demonstrate ongoing expertise.
Continue Learning
Stay on top of new Azure releases through continued hands-on learning. Consider taking advanced AI focused exams when ready.
Upskill for the Future
The AI field evolves rapidly. Continue skilling up on new services and capabilities to boost your career. Microsoft offers many role-based courses and certifications to meet your learning needs.
Conclusion
Earning the Microsoft Certified: Azure AI Engineer Associate certification validates your ability to build AI solutions on Microsoft Azure. Passing the AI-102 exam demonstrates you have the required skills to architect, implement, manage, and monitor responsible AI systems leveraging Azure Cognitive Services. Create a comprehensive, hands-on study plan supplemented by online courses, practice tests, and the official study guide to fully prepare.
