Master your AI-102 AZURE A.I. Engineer Associate with 3 practice exams of 50 questions each pulled from a database of 325 questions. Immediate feedback after each question. Plus 1 certification style exam with gap analysis report to show areas of weakness.
more infoWhat I appreciate most about Plum Stone Prep’s online practice tests is their emulation of the real exam. Entering the exam room, I felt a strong sense of confidence in my grasp of the material, and upon leaving, I had no doubt that my investment of time had been thoroughly justified.
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What you get in this package
Are you ready to unlock your potential as an AI-102 AZURE A.I. Engineer Associate? We get it -- exams can be awfully treacherous, but our package is designed to make your journey as smooth as possible. Say goodbye to exam anxiety and hello to confidence!
In this package you get:
- 3 practice exams with immediate feedback after each response
- A Gap Analysis report at the end of the practice exams to show areas of weakness
- 1 sample certification exam (answers not shown) that simulates the AI-102 AZURE A.I. Engineer exam you will be taking on the big day
Don't let certification stand in the way of your Artificial Intelligence certification dreams. Join us today and let's pave the way to your success. Your AZURE credential is within reach – seize it now!
About the AI-102 AZURE exam
The AI-102 AZURE A.I. Engineer Associate is a certification exam offered by Microsoft that validates the skills and knowledge of individuals in designing, implementing, and managing artificial intelligence (A.I.) solutions on AZURE. This certification is designed for individuals who use cognitive services, machine learning, and knowledge mining to architect and implement Microsoft AI solutions involving natural language processing, speech, computer vision, and conversational Artificial Intelligence.
To be successful in the exam, you should have experience with Azure AI services, such as Azure Cognitive Services, Azure Machine Learning, and Azure Bot Framework. You should also have a strong understanding of A.I. concepts, such as machine learning, natural language processing, and computer vision.
The exam is 2 hours long and consists of 50 multiple-choice questions. The passing score is 700 points or, approximately, 70%
Topics include:
- Planning and managing an AZURE A.I. solution
- Implementing image and video processing solutions
- Implementing natural language processing solutions
- Implementing knowledge mining solutions
- Implementing conversational A.I. solutions
- Applying responsible A.I. principles
AI-102 AZURE A.I Engineer Associate Exam FAQ
What is the AI-102 exam?
The AI-102 exam is a Microsoft Certification that validates a candidate's ability to plan and manage Azure AI solutions that leverage Azure Cognitive Services, Azure Machine Learning, and Knowledge Mining.
What are the prerequisites for taking the AI-102 exam?
Microsoft recommends that candidates have prior experience with Python programming, data science concepts, and Azure services related to machine learning and artificial intelligence.
What is the exam format?
The AI-102 exam is a multiple-choice and multiple-answer question-based exam. The duration of the exam is 120 minutes, and it consists of 50 questions.
What is the passing score for the AI-102 exam?
The passing score for the AI-102 exam is 700 out of 1000 (or approximately 70%)
How much does the AI-102 exam cost?
The cost of the AI-102 exam varies depending on the country and testing center. Generally, it ranges from $165 to $190 USD.
How long is the AI-102 certification valid?
The AI-102 certification is valid for one year from the date of passing the exam. After that, candidates need to recertify by taking the latest exam or completing specified continuing education requirements.
What are the benefits of obtaining the AI-102 certification?
The AI-102 certification demonstrates a professional's expertise in designing, implementing, and managing AI solutions on the Azure platform. It can help validate skills, enhance career opportunities, and provide recognition in the field of artificial intelligence and machine learning.
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