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AI-102 Implement computer vision solutions Practice Question

Which THREE are valid uses of Azure AI Vision Image Analysis 4.0? (Select three.)

⚠ Common exam trap

Test-takers frequently confuse the capabilities of Azure AI Vision with those of Azure AI Speech or Azure AI Translator, assuming Image Analysis can handle audio transcription or text translation when it strictly processes visual content only.

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

✓

Extract printed text from an image using OCR

Option A is correct because Image Analysis 4.0 includes a Read OCR feature that extracts printed and handwritten text from images and documents, returning lines and words. Option C is correct because the object detection capability identifies objects in an image and returns their coordinates as bounding boxes along with confidence scores. Option D is correct because Image Analysis 4.0 can generate captions (and dense captions) describing the content of an image in natural language. Option B is not valid because audio transcription is a speech service capability (e.g., Azure AI Speech), not Image Analysis. Option E is not valid because translating text is performed by Azure AI Translator; Image Analysis only extracts the text via OCR, it does not translate it.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✓

    Extract printed text from an image using OCR

    Why this is correct

    Image Analysis 4.0 includes a Read OCR feature that extracts printed and handwritten text from images via the Read API, satisfying the OCR use case. It returns text lines and words with bounding polygons, so printed text extraction is a supported capability of this service.

  • ✗

    Transcribe spoken audio from a video file

    Why it's wrong here

    Image Analysis 4.0 processes still images for captions, tags, objects and OCR; it does not transcribe audio, which needs Azure AI Speech. It tempts because video frames can be sampled as images, but speech-to-text from the audio track is a Speech service capability.

  • ✓

    Detect objects in an image and return bounding boxes

    Why this is correct

    Image Analysis 4.0 provides object detection, returning bounding boxes with labels and confidence scores for recognised objects. This directly satisfies the requirement to detect objects and return their coordinates, distinguishing it from pure classification or captioning features.

  • ✓

    Generate a human-readable caption for an image

    Why this is correct

    Image Analysis 4.0 includes a captioning feature that returns a human-readable description of an image's content, satisfying the stem's requirement for a valid capability. It uses the same multimodal model as the Florence-based vision services, producing natural-language sentences rather than tags alone.

  • ✗

    Translate text found in an image to another language

    Why it's wrong here

    Image Analysis 4.0 returns OCR text via the Read feature but performs no translation; that requires Azure AI Translator. It tempts because OCR output is commonly piped into translation, yet the translation step sits in a separate Azure AI service, not Image Analysis.

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