PMLE Architecting Low-Code ML Solutions Practice Question
A developer wants to add text translation to a mobile app. They need to translate user-generated content into multiple languages, and latency is critical. Which pre-built API should they use?
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
Translation API provides fast, real-time translation for text. Natural Language API is for analysis. Text-to-Speech is for audio. Vision API is for images.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Translation API
Why this is correct
The Translation API is a pre-built, low-latency service supporting many language pairs, so it meets the requirement to translate user-generated content into multiple languages without training custom models. Custom translation would add latency and development overhead.
- ✗
Vision API
Why it's wrong here
Vision API performs image analysis such as label, face and OCR detection; it does not translate text between languages. It is tempting because OCR output can feed translation, and would be correct when extracting text from images before a separate translation step.
- ✗
Text-to-Speech API
Why it's wrong here
Text-to-Speech API converts written text into synthesised audio; it does not translate between languages. It is tempting because it also handles multiple languages, and would be correct when the requirement is reading content aloud rather than translating it.
- ✗
Natural Language API
Why it's wrong here
Natural Language API handles entity, sentiment and syntax analysis, plus classification, but not translation between languages. It is tempting because it processes text and is often paired with translation, and would be correct for sentiment or entity extraction on user-generated content.
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