easyMultiple Select
Generative AI Leader Practice Question: Which TWO of the following are valid Google Cloud…
Which TWO of the following are valid Google Cloud AI APIs for natural language processing?
⚠ Common exam trap
A common mistake is to include Speech-to-Text or Vision AI as NLP APIs when they actually belong to different AI domains (speech and vision, respectively). The correct NLP APIs are the Translation API and Natural Language API.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Translation API
The Translation API and Natural Language API are both valid Google Cloud AI APIs for natural language processing (NLP). The Translation API converts text between languages, which is a core NLP task, while the Natural Language API provides entity recognition, sentiment analysis, and syntax analysis, directly processing human language.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Speech-to-Text API
Why it's wrong here
Speech-to-Text API converts audio into written text, which is speech recognition rather than natural language processing of text. It is tempting because transcription output feeds downstream NLP, and it would be the correct choice for transcribing call recordings or voice input before analysis.
- ✓
Translation API
Why this is correct
Translation API performs natural language processing by detecting source language and converting text between languages, a core NLP task. It is a genuine Google Cloud AI API, so it satisfies the stem's requirement for valid NLP APIs.
- ✗
Vision AI
Why it's wrong here
Vision AI performs image classification, object detection, and OCR on visual content, not natural language processing. It is tempting because OCR extracts text from images, which feels language-adjacent, but Vision AI's correct use is analysing pixels; text understanding belongs to the Natural Language API.
- ✓
Natural Language API
Why this is correct
The Natural Language API is a Google Cloud service providing entity, sentiment, syntax and classification analysis, directly satisfying the stem's requirement for a valid natural language processing API. It is accessed through REST or client libraries and requires no model training, making it a managed, purpose-built NLP offering within Google Cloud.
- ✗
Document AI
Why it's wrong here
Document AI extracts and parses structured data from scanned documents, sitting in document understanding rather than natural language processing. It is tempting because it handles text-heavy forms, and it would be correct for invoice or ID parsing, but NLP tasks such as sentiment, entities, and syntax use the Natural Language API.
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