AI Associate Salesforce Einstein AI Features Practice Question
A company wants to use Einstein Vision and Language Platform to automatically classify images of products and extract text from labels. Which TWO capabilities of the platform can be used for this requirement? (Select two.)
⚠ Common exam trap
It's easy for candidates to confuse text extraction (OCR) with object detection or image classification, or incorrectly assume sentiment analysis or NER apply to image data, when in fact they are NLP-only features.
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
✓
Image classification
Image classification is the correct capability because it allows the platform to automatically assign predefined labels (e.g., product categories) to images based on their visual content. This directly meets the requirement to classify images of products using the Einstein Vision and Language Platform.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Sentiment analysis
Why it's wrong here
Sentiment analysis is for text, not image classification.
- ✗
Text extraction (OCR)
Why it's wrong here
OCR is not a built-in Einstein Vision capability; it's separate.
- ✓
Image classification
Why this is correct
Image classification can categorize product images.
- ✗
Named Entity Recognition (NER)
Why it's wrong here
NER extracts entities from text, not from images.
- ✓
Object detection
Why this is correct
Object detection can identify and locate specific objects in images, such as product labels.
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This AI Associate practice question is part of Courseiva's free Salesforce certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI Associate exam.