What AI-900 Questions and Answers feature?

The correct answer is C. AI systems must be understandable, which corresponds to the Transparency principle of Microsoft’s Responsible AI framework.

According to the Microsoft Azure AI Fundamentals (AI-900) Official Study Guide and the Microsoft Learn module “Identify guiding principles for responsible AI”, Microsoft defines six key principles for responsible AI:

Fairness – AI systems should treat everyone equitably.

Reliability and safety – AI should function as intended, even under unexpected conditions.

Privacy and security – AI must protect personal and business data.

Inclusiveness – AI should empower everyone and engage diverse users.

Transparency – AI systems should be understandable.

Accountability – People should be accountable for AI systems.

The statement “AI systems must be understandable” aligns directly with the Transparency principle, ensuring that AI decisions and behaviors can be explained and interpreted by developers, users, and stakeholders. Microsoft emphasizes that transparent AI builds trust, allows debugging, and ensures ethical usage.

Other options are incorrect:

A. Use only publicly available data – Not a principle of Responsible AI.

B. Protect the interests of the company – Focused on business goals, not ethical AI.

D. Keep personal details public – Violates the Privacy and Security principle.

✅ Final Answer (Q179): C. AI systems must be understandable.

According to the AI-900 official study materials, regression is a type of supervised machine learning used to predict continuous numeric values. Predicting the animal population of an area involves estimating a numeric quantity, which makes regression the appropriate model type.

Microsoft Learn defines regression workloads as predicting real-valued outputs, such as:

Forecasting sales or demand.

Predicting housing prices.

Estimating resource usage or population sizes.

In contrast:

Classification predicts discrete categories (e.g., “cat” or “dog”).

Clustering groups data into similar clusters but doesn’t produce numeric predictions.

Therefore, because the task requires predicting a numerical population size, the verified answer is C. Regression, as per Microsoft’s AI-900 official guidelines.

The Translator Text service (part of Azure Cognitive Services) provides real-time text translation across multiple languages. According to Microsoft Learn’s AI-900 module on “Identify features of Natural Language Processing (NLP) workloads”, translation is one of the four main NLP tasks, alongside key phrase extraction, sentiment analysis, and language understanding.

In this scenario, the company wants to make press releases available in a range of languages, which requires converting text from one language to another while preserving meaning and tone. The Translator Text API supports more than 100 languages and can be integrated into web apps, chatbots, or content management systems for automatic multilingual publishing.

The other options perform different functions:

Text Analytics (B) extracts insights such as key phrases or sentiment but does not translate.

Speech (C) focuses on converting between speech and text, not text translation.

Language Understanding (LUIS) (D) identifies user intent but does not perform translation.

Therefore, to provide multilingual press releases, the appropriate service is A. Translator Text, which ensures accurate, fast, and scalable translation across global audiences.