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AI-900: How to Combine AI Workloads for Profile Photo Submission

Learn how to combine conversational AI, natural language processing, and computer vision to create an AI agent that can facilitate a human submitting a suitable profile photo.

Table of Contents

Question

Which three types of Al workloads could be combined to facilitate a human engaging with an Al agent to submit a suitable profile photo?

Select all that apply.

A. Conversational Al
B. Natural Language Processing
C. Computer Vision
D. Anomaly detection

Answer

A. Conversational Al
B. Natural Language Processing
C. Computer Vision

Explanation

In this case you could use a combination of Computer Vision, Conversational AI, and Natural Language Processing workloads.

The correct answer is A, B, and C. AI workloads are the tasks or processes that AI systems can perform to achieve a specific goal or outcome. AI workloads can be combined to create more complex and interactive applications that can handle multiple types of data and scenarios. In this case, the three types of AI workloads that could be combined to facilitate a human engaging with an AI agent to submit a suitable profile photo are:

  • A. Conversational AI: This is an AI workload that enables natural and intuitive communication between humans and machines using voice or text. Conversational AI can use techniques, such as natural language processing, natural language understanding, natural language generation, speech recognition, and speech synthesis, to understand the user’s intent, context, and emotions, and to generate appropriate and personalized responses. Conversational AI can also use techniques, such as dialogue management, sentiment analysis, and personality detection, to maintain a coherent and engaging conversation, and to adapt to the user’s preferences and feedback. For example, conversational AI can be used to create chatbots, voice assistants, and virtual agents that can interact with users through various channels and platforms, such as websites, mobile apps, social media, and smart devices.
  • B. Natural Language Processing: This is an AI workload that involves processing, analyzing, and generating natural language, such as written or spoken text. Natural language processing can use techniques, such as tokenization, lemmatization, stemming, part-of-speech tagging, named entity recognition, dependency parsing, and semantic analysis, to extract and structure the information and meaning from natural language. Natural language processing can also use techniques, such as machine translation, text summarization, text classification, question answering, and text generation, to perform various tasks and applications using natural language. For example, natural language processing can be used to create search engines, spell checkers, grammar checkers, plagiarism detectors, and content generators.
  • C. Computer Vision: This is an AI workload that involves processing, analyzing, and understanding visual data, such as images or videos. Computer vision can use techniques, such as image processing, feature extraction, object detection, face recognition, facial expression analysis, optical character recognition, scene understanding, and image generation, to perform various tasks and applications using visual data. For example, computer vision can be used to create face filters, face unlock, biometric authentication, document scanning, augmented reality, and virtual reality.

These three types of AI workloads could be combined to facilitate a human engaging with an AI agent to submit a suitable profile photo by enabling the following scenario:

  • The user initiates a conversation with the AI agent through a voice or text interface, such as a website, a mobile app, or a smart device.
  • The AI agent uses conversational AI to greet the user, introduce itself, and explain the purpose and process of submitting a profile photo.
  • The AI agent uses natural language processing to understand the user’s queries, requests, and feedback, and to generate relevant and helpful responses.
  • The AI agent uses computer vision to analyze the user’s uploaded or captured profile photo, and to provide feedback and suggestions on how to improve it, such as adjusting the lighting, angle, background, or expression.
  • The AI agent uses conversational AI to guide the user through the steps of submitting a suitable profile photo, and to confirm the user’s satisfaction and completion of the task.

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Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump