Microsoft Azure AI Fundamentals (AI-900)Describe AI workloads and considerationsEasy
A global e-commerce company wants to implement an AI solution to automatically translate product descriptions and customer reviews from various languages into English and vice-versa, ensuring customers worldwide can understand product information and communicate effectively. Which AI workload is best suited for this requirement?
- AAnomaly Detection
- BNatural Language Processing (NLP)
- CKnowledge Mining
- DComputer Vision
Show answer & explanationAnswer & explanation
Correct answer: B. Natural Language Processing (NLP)
Natural Language Processing (NLP) is the AI workload specifically designed to enable computers to understand, interpret, and generate human language, making it ideal for tasks like machine translation.
Why the other options are wrong
- A. Anomaly Detection identifies unusual patterns that do not conform to expected behavior, which is unrelated to language translation.
- C. Knowledge Mining involves extracting information from unstructured data, but the core task here is translation, a specific NLP function.
- D. Computer Vision deals with enabling computers to 'see' and interpret images or videos, not text translation.
Machine Translation
A subfield of computational linguistics that translates text or speech from one natural language into another, typically using AI techniques.
- Enables cross-lingual communication.
- Relies heavily on Natural Language Processing (NLP).
- Can be statistical, rule-based, or neural network-based.
Memory trick: Language barriers fall with NLP's call.