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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Azure AI Fundamentals |
| Exam Number: | AI-900 |
| Passing Score: | 700/1000 |
| Related Certifications: | Microsoft Azure Fundamentals Microsoft Azure AI Engineer Associate Microsoft Azure Data Fundamentals |
| Exam Price: | USD 99 (varies by region) |
| Exam Duration: | 85 minutes |
| Available Languages: | Korean, English, Chinese (Simplified), Spanish, French, Japanese, German, Portuguese (Brazil) |
| Real Exam Qty: | 40-60 |
| Certificate Validity Period: | Does not expire (Fundamentals certification) |
| Exam Format: | Multiple response, Multiple choice, Drag and drop, Case studies |
| Recommended Training: | Microsoft Learn AI-900 Learning Path Azure AI Fundamentals Practice Modules |
| Exam Registration: | Pearson VUE Exam Registration Official Microsoft Certification Page |
| Sample Questions: | Microsoft AI-900 Sample Questions |
| Exam Way: | Online proctored exam or in-person test center |
| Pre Condition: | No formal prerequisites required; basic understanding of cloud and AI concepts recommended |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-fundamentals/ |
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The AI-900 exam is an entry-level certification that provides a solid foundation for individuals who want to pursue more advanced AI certifications. AI-900 exam covers basic concepts such as AI workloads, machine learning, and computer vision, as well as more advanced topics like natural language processing and conversational AI. AI-900 Exam is designed to test your technical knowledge of AI and your ability to apply AI concepts to solve real-world business problems.
NEW QUESTION # 195
You need to identify harmful content in a generative Al solution that uses Azure OpenAI Service.
What should you use?
Answer: D
NEW QUESTION # 196
Match the principles of responsible AI to the appropriate descriptions.
To answer, drag the appropriate principle from the column on the left to its description on the right. Each principle may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Answer:
Explanation:
Explanation:
The correct answers are derived from the Microsoft Azure AI Fundamentals (AI-900) Official Study Guide and the Microsoft Learn module "Identify guiding principles for responsible AI." Microsoft defines six core principles of Responsible AI:
* Fairness
* Reliability and safety
* Privacy and security
* Inclusiveness
* Transparency
* Accountability
Each principle addresses a key ethical and operational requirement for developing and deploying trustworthy AI systems.
* Reliability and safety - "AI systems must consistently operate as intended, even under unexpected conditions."This principle ensures that AI models are dependable, robust, and perform accurately under diverse circumstances. Microsoft emphasizes that systems should be thoroughly tested and monitored to guarantee predictable behavior, prevent harm, and maintain safety. A reliable AI solution should continue to function properly when faced with unusual or noisy inputs, and fail safely when issues arise.
This principle focuses on stability, testing, and dependable performance.
* Privacy and security - "AI systems must protect and secure personal and business information."This principle ensures that AI systems comply with data privacy laws and ethical standards. It protects users' sensitive data against unauthorized access and misuse. Microsoft highlights that organizations must implement strong encryption, data anonymization, and access control mechanisms to maintain confidentiality. Protecting user data is essential to building trust and compliance with global standards like GDPR.
Other principles such as fairness and inclusiveness apply to ensuring equitable and accessible AI, but they do not directly relate to system operation or information protection.
# Final Answers:
* "Operate as intended" # Reliability and safety
* "Protect and secure information" # Privacy and security
NEW QUESTION # 197
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 198
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/bot-service/bot-service-overview-introduction?view=azure-bot-service-4.0
NEW QUESTION # 199
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: No
Box 2: Yes
Box 3: Yes
Anomaly detection encompasses many important tasks in machine learning:
Identifying transactions that are potentially fraudulent.
Learning patterns that indicate that a network intrusion has occurred.
Finding abnormal clusters of patients.
Checking values entered into a system.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/anomaly-detection
NEW QUESTION # 200
......
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