You deploy an AI system to assist with hiring decisions.Company policy requires that human reviewers oversee AI-generated recommendations and remain responsible for final hiring decisions.Which Microsoft responsible AI principle is this an example of?
Answer(s): D
Accountability is the Microsoft responsible AI principle that ensures human oversight so that people remain responsible for AI-driven decisions.Human Oversight: Requiring human review ensures that AI operates under effective governance rather than acting autonomously on high-impact choices.Final Authority: Keeping humans legally and operationally responsible prevents automated systems from dictating critical outcomes like hiring.
https://www.microsoft.com/en-us/ai/principles-and-approach
HOTSPOT (Drag and Drop is not supported)For each of the following statements, select Yes if the statement is true. Otherwise, select No.Note: Each correct selection is worth one point.Hot Area:
Answer(s): A
Box 1: No AI capabilities depend heavily on their training and architecture. While modern multimodal models handle both text and visual data, many specialized AI systems perform only one specific task or work exclusively with text, numbers, or audio.Box 2: Yes Vision-enabled generative AI models can absolutely extract text from images. These systems—often called Vision-Language Models (VLMs) or multimodal models—combine visual processing with language capabilities to read, understand, and extract text seamlessly from visual media.Box 3: Yes A multimodal model can process prompts that include both text and images. These advanced systems use separate encoders or unified architectures to understand and connect visual details from pictures with the meaning of words in a single task.
https://bestarion.com/vision-llms-for-image-understanding-and-text-extraction/
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(s): C
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.
What are two types of generative AI models? Each correct answer presents a complete solution.Note: Each correct answer is worth one point
Answer(s): B,C
GPT (Generative Pre-trained Transformer): A generative AI model that focuses on text-based tasks, such as language generation, summarization, and question answering. GPT models are foundational for tasks involving natural language generation.DALL-E: A generative AI model designed to create images from textual descriptions. It represents a type of generative model specialized in computer vision tasks, specifically generating new visual content.
You are building a chatbot that will use natural language processing (NLP) to perform the following actions based on the text input of a user: ● Accept customer orders. ● Retrieve support documents. ● Retrieve order status updates.Which type of NLP should you use?
The correct choice is language understanding (also termed language modeling).Language understanding allows a system to determine a user's intent from their natural language input. In this scenario, the chatbot needs to look at a text string and map it to one of three specific operational categories (intents): Accepting a customer order Retrieving support documentation Checking an order status update
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