AI-900 Latest Test Question | AI-900 Latest Practice Questions

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Microsoft Azure AI Fundamentals Sample Questions (Q324-Q329):

NEW QUESTION # 324
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 # 325
You have a natural language processing (NIP) model that was created by using data obtained without permission.
Which Microsoft principle for responsible Al does this breach?

Answer: A

Explanation:
According to the Microsoft Azure AI Fundamentals (AI-900) official study materials and Microsoft's Responsible AI Principles, one of the core principles is "Privacy and Security." This principle ensures that AI systems protect personal and sensitive information, maintaining compliance with privacy laws, data protection regulations, and ethical data-handling practices.
If a Natural Language Processing (NLP) model is created using data obtained without permission, it directly violates this principle. Data collected without proper consent breaches user privacy and potentially violates regulations such as GDPR (General Data Protection Regulation) or other global privacy frameworks.
The Privacy and Security principle emphasizes the following:
* AI systems must ensure data collection and usage transparency.
* Data must be lawfully acquired and used with consent.
* Systems should protect data against unauthorized access or misuse.
In contrast:
* Inclusiveness promotes accessibility and fairness for all users.
* Transparency focuses on explaining how AI systems make decisions.
* Reliability and safety ensure systems function as intended and minimize harm.
Therefore, using unapproved data clearly breaches Privacy and Security, as it involves unethical data sourcing and endangers user trust.


NEW QUESTION # 326
You plan to apply Text Analytics API features to a technical support ticketing system.
Match the Text Analytics API features to the appropriate natural language processing scenarios.
To answer, drag the appropriate feature from the column on the left to its scenario on the right. Each feature may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing
https://azure.microsoft.com/en-us/services/cognitive-services/text-analytics


NEW QUESTION # 327
Match the types of AI workloads to the appropriate scenarios.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

Box 3: Natural language processing
Natural language processing (NLP) is used for tasks such as sentiment analysis, topic detection, language detection, key phrase extraction, and document categorization.
Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing


NEW QUESTION # 328
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 # 329
......

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