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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Azure AI Fundamentals |
| Exam Number: | AI-900 |
| Passing Score: | 700 / 1000 |
| Exam Price: | USD 99 |
| Certificate Validity Period: | 1 year (renewable via free online assessment on Microsoft Learn) |
| Exam Duration: | 45-60 |
| Available Languages: | Chinese (Traditional), Japanese, French, German, Chinese (Simplified), Russian, Indonesian (Indonesia), Spanish, Korean, Italian, Portuguese (Brazil), Arabic (Saudi Arabia), English |
| Exam Format: | Multiple select, Scenario-based, Match the service to use case, Drag and drop, Multiple choice |
| Real Exam Qty: | 40-60 |
| Related Certifications: | Microsoft Certified: Azure AI Fundamentals |
| Sample Questions: | Microsoft AI-901 Sample Questions |
| Exam Way: | Online (remote proctored via Pearson VUE) or at a Pearson VUE test center |
| Pre Condition: | No prerequisites. This exam is intended for both technical and non-technical backgrounds. Data science and software engineering experience are not required. Awareness of basic cloud concepts and client-server applications is beneficial. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-900 |
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NEW QUESTION # 64
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
A schema defines which fields to extract when analyzing content.
In Azure Content Understanding, the schema or fieldSchema defines the structured data that the analyzer extracts from content, including field names, types, and extraction behavior. Microsoft documentation states that Content Understanding lets you define a schema to extract, classify, or generate field values from unstructured content.
The other options are incorrect:
A keyword list does not define the complete structured output fields.
OCR-only processing extracts text, but it does not define structured fields.
A synchronous API call describes a request pattern, not the extraction schema.
NEW QUESTION # 65
Hotspot Question
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
Box: reliability and safety
When developing an AI system for self-driving cars, the Microsoft __________ principle for responsible AI should be applied to ensure consistent operation of the system during its lifespan.
The Microsoft Reliability and Safety principle for responsible AI should be applied to self-driving cars to ensure consistent operation and mitigate risks. This principle mandates that AI systems must be developed to be dependable and perform as intended, even when facing unexpected situations, making it crucial for a system where a minor error could have severe outcomes.
Consistent operation: Self-driving car AI must operate reliably and consistently under both normal and unexpected conditions.
Robust safety measures: The principle requires rigorous testing and validation to ensure the system responds safely to edge cases and avoids unexpected performance failures.
Preventing harm: The goal is to avoid creating harm by developing the system in alignment with its design ideas and values, which includes resisting manipulation.
Reference:
https://support.microsoft.com/en-us/topic/what-is-responsible-ai-33fc14be-15ea-4c2c-903b-aa493f5b8d92
NEW QUESTION # 66
You need to build an AI solution that responds to user queries with detailed written explanations.
Which type of AI model should you use?
Answer: C
Explanation:
A text generation model is the correct tool when you want an AI solution that responds to user queries with detailed written explanations.
Natural Language: They write clear sentences and paragraphs.
Complex Ideas: They break down hard topics into simple words.
Flexible Format: They can make lists, summaries, or long guides.
NEW QUESTION # 67
You are building a Conversational Language Understanding model for an e-commerce business.
You need to ensure that the model detects when utterances are outside the intended scope of the model.
What should you do?
Answer: A
Explanation:
The None intent is a required intent and can't be deleted or renamed. The intent is meant to categorize utterances that don't belong to any of your other custom intents. An utterance can be predicted as the None intent if the top scoring intent's score is lower than the None score threshold.
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language- understanding/concepts/none-intent
NEW QUESTION # 68
Match the principles of responsible Al to the appropriate descriptions.
To answer, drag the appropriate principle from the column on the left to its description on the light. Each principle may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Answer:
Explanation:
Explanation:
AI systems must consistently operate as intended, even under unexpected conditions. = Reliability and safety This description matches the Microsoft responsible AI principle of reliability and safety, which focuses on ensuring that AI systems behave consistently, safely, and as expected, including under unusual or unexpected conditions.
AI systems must protect and secure personal and business information. = Privacy and security This description matches the Microsoft responsible AI principle of privacy and security, which focuses on protecting personal, confidential, and business-sensitive information and preventing unauthorized access or misuse.
NEW QUESTION # 69
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