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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Azure AI Fundamentals |
| Exam Number: | AI-900 |
| Certificate Validity Period: | Valid indefinitely |
| Passing Score: | 700 (on a scale of 1–1000) |
| Real Exam Qty: | 40–60 |
| Available Languages: | Chinese (Traditional), Korean, Indonesian (Indonesia), Arabic (Saudi Arabia), French, Italian, German, Portuguese (Brazil), Chinese (Simplified), Japanese, English, Russian, Spanish |
| Exam Price: | $99 USD |
| Exam Duration: | 45 minutes |
| Related Certifications: | Microsoft Certified: Azure Fundamentals Microsoft Certified: Azure Data Fundamentals |
| Exam Format: | Multiple choice, Scenario-based questions, Multiple select |
| Recommended Training: | Instructor-led Training: AI-900 Course Microsoft Learn: Azure AI Fundamentals Learning Path |
| Exam Registration: | Microsoft Certification Registration Pearson VUE Registration |
| Sample Questions: | Microsoft AI-900 Sample Questions |
| Exam Way: | Online proctored or onsite testing at Pearson VUE test centers |
| Pre Condition: | No required prerequisites; basic familiarity with cloud computing or AI concepts is recommended but not mandatory |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-900/ |
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The Microsoft AI-900 Exam covers a range of topics related to AI, including machine learning, natural language processing, computer vision, and cognitive services. It also tests the individual's ability to identify the appropriate Azure service to solve a particular business problem, and to understand the ethical and responsible use of AI.
Microsoft AI-900 Exam is an excellent starting point for individuals who want to build a career in the field of AI. Microsoft Azure AI Fundamentals certification is also suitable for IT professionals, developers, and data scientists who want to expand their knowledge and skills in AI. Microsoft Azure AI Fundamentals certification exam is an excellent way to validate your understanding of AI concepts and demonstrate your expertise to potential employers.
NEW QUESTION # 123
Providing contextual information to improve the responses quality of a generative Al solution is an example of which prompt engineering technique?
Answer: D
NEW QUESTION # 124
To complete the sentence, select the appropriate option in the answer area.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/linear-regression
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/machine-learning-initialize-model-clustering Regression is a form of machine learning that is used to predict a numeric label based on an item's features.
https://docs.microsoft.com/en-us/learn/modules/create-regression-model-azure-machine-learning-designer/introduction
NEW QUESTION # 125
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
According to the Microsoft Azure AI Fundamentals (AI-900) Official Study Guide and the Microsoft Learn module "Explore fundamental principles of machine learning," a regression model is used when the goal is to predict a continuous numerical value based on historical data.
In this question, the task is to predict the sale price of auctioned items, which is a numeric output that can take on a wide range of values (for example, $50.25, $199.99, etc.). This makes it a regression problem because the output is continuous rather than categorical.
Regression models analyze the relationship between input features (such as item type, condition, age, bidding history, or demand) and a numerical target variable (the sale price). Common regression algorithms include linear regression, decision tree regression, and neural network regression. In Azure Machine Learning, these models are trained using labeled datasets containing known outcomes to learn patterns and make future predictions.
Let's review the incorrect options:
* Classification: Used to predict discrete categories or labels, such as "sold" vs. "unsold" or "low,"
"medium," "high." It cannot output continuous numeric predictions.
* Clustering: An unsupervised technique used to group similar data points based on shared characteristics, not to predict specific numeric outcomes.
Therefore, because predicting a sale price involves forecasting a continuous numerical value, the correct model type is Regression.
This aligns with Microsoft's AI-900 teaching that regression is used for tasks such as:
* Predicting house prices
* Forecasting sales revenue
* Estimating car values or auction prices
NEW QUESTION # 126
Match the Azure Cognitive Services service to the appropriate actions.
To answer, drag the appropriate service from the column on the left to its action on the right. Each service may he used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Answer:
Explanation:
NEW QUESTION # 127
To complete the sentence, select the appropriate option in the answer area.
Answer:
Explanation:
Explanation
With Microsoft's Conversational AI tools developers can build, connect, deploy, and manage intelligent bots that naturally interact with their users on a website, app, Cortana, Microsoft Teams, Skype, Facebook Messenger, Slack, and more.
Reference:
https://azure.microsoft.com/en-in/blog/microsoft-conversational-ai-tools-enable-developers-to-build-connect-and
NEW QUESTION # 128
......
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