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What is Microsoft AI-900 Exam
Microsoft AI-900 exam is designed for Microsoft partners who are certified by Microsoft to integrate Microsoft Azure Intelligent Solutions into their own products and solutions. Explore the objectives of the AI-900 exam. Protection of the Azure platform and its components. Reference architecture for Azure solutions. Implementation, configuration, and management of Azure services. Request, manage and monitor Azure services. Troubleshooting of Azure services. Microsoft AI-900 exam dumps exam tests Questions are designed to identify the exam takers level of competence in the functions, features, and services of Azure. Depth and Breadth of Knowledge. Processes and practices for developing and deploying intelligent solutions. Hope you like this article. Associate in IT, Eugene is an expert in the fields of software applications and internet technologies. Paying attention to the latest technology is the reason Eugene uses his knowledge of high-end computer systems, application programming, and data entry.
Awareness of the latest technologies available for businesses is the main objective of Eugene. Perfectly organized, diligent and with logical thinking, Eugene is an expert in the areas of information technology. Knowing how to put together all the pieces of hardware and software needed for business systems is just what Eugene loves. Staying on top of the latest software applications and their uses is an important part of his daily life. Simulator is a program for MS Test exam training.
Career Opportunities
The individuals can pursue a lot of career opportunities with a Microsoft certificate. The Microsoft Certified: Azure AI Fundamentals certification is not an exception. Although it is a foundational-level path, the certificate holders can start their careers on a good footing. Some of the job titles that these entry-level professionals can apply for include an Azure Data Scientist, an Azure AI Engineer, an Azure Administrator, an Azure Developer, an Azure Solution Architect, and an Azure DevOps Engineer. For these positions, the applicants can expect to earn an average of $80,000 per annum.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-900
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Skills measured
- Describe features of conversational AI workloads on Azure (15-20%)
- Describe fundamental principles of machine learning on Azure (30-35%)
- Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)
- Describe features of computer vision workloads on Azure (15-20%)
- Describe AI workloads and considerations (15-20%)
Microsoft AI-900 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Describe AI workloads and considerations | 15-20% | - Identify features of common AI workloads - Identify guiding principles for responsible AI |
| Topic 2: Describe features of Generative AI workloads on Azure | 15-20% | - Describe generative AI concepts - Identify responsible AI considerations for generative AI - Describe Azure OpenAI Service capabilities |
| Topic 3: Describe features of computer vision workloads on Azure | 15-20% | - Describe Azure capabilities for computer vision - Identify common computer vision tasks - Identify Azure AI services for computer vision |
| Topic 4: Describe fundamental principles of machine learning on Azure | 30-35% | - Describe core machine learning concepts - Identify common machine learning tasks - Describe Azure Machine Learning capabilities - Describe features of no-code automated ML |
| Topic 5: Describe features of Natural Language Processing (NLP) workloads on Azure | 15-20% | - Identify common NLP tasks - Identify Azure AI services for NLP - Describe Azure capabilities for NLP |
Microsoft Azure AI Fundamentals Sample Questions:
You have an app that identifies the coordinates of a product in an image of a supermarket shelf.
Which service does the app use?
- A. Azure Al Custom Vision classification
- B. Azure Al Computer Vision optical character recognition (OCR)
- C. Azure Al Computer Vision Read
- D. Azure Al Custom Vision object detection
Correct Answer: D 🗳️
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You need to generate images based on user prompts. Which Azure OpenAI model should you use?
- A. GPT-4
- B. Whisper
- C. GPT-3
- D. DALL-E
Correct Answer: D 🗳️
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To complete the sentence, select the appropriate option in the answer area.
Correct Answer:
Explanation:
In the context of Microsoft Azure AI Fundamentals (AI-900) and general machine learning principles, regression refers to a type of supervised learning used to predict continuous numerical values based on historical data. The goal of regression is to model the relationship between input variables (features) and a continuous output variable (target).
In this scenario, the task is to predict how many vehicles will travel across a bridge on a given day. The number of vehicles is a numerical value that can vary continuously depending on factors such as time of day, weather, weekday/weekend, or traffic trends. Because the output is numeric and not categorical, this problem type clearly fits into regression analysis.
Microsoft's official learning content for AI-900, under "Identify features of regression and classification machine learning models," specifies that regression models are used to predict values such as sales forecasts, demand estimation, temperature prediction, or traffic volume-all of which share the same underlying objective: predicting a quantity.
To clarify other options:
* Classification is used when predicting categories or discrete classes, such as determining whether an email is spam or not spam, or if an image contains a cat or a dog.
* Clustering is an unsupervised learning technique used to group similar data points without predefined labels (for example, grouping customers by purchasing behavior).
Since predicting the number of vehicles results in a continuous numerical output, it aligns precisely with the regression workload type described in the Microsoft AI-900 study materials.
What is an example of the Microsoft responsible Al principle of transparency?
- A. helping users understand the decisions made by an Al system
- B. ensuring that developers are accountable for the solutions they create
- C. ensuring that opportunities are allocated equally to all applicants
- D. ensuring that the privileged data of users is stored in a secure manner
Correct Answer: A 🗳️
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You are developing a solution that uses the Text Analytics service.
You need to identify the main talking points in a collection of documents.
Which type of natural language processing should you use?
- A. entity recognition
- B. sentiment analysis
- C. language detection
- D. key phrase extraction
Correct Answer: D 🗳️
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