PMLE Architecting Low-Code ML Solutions Practice Question
A company wants to analyze videos to detect objects and track their movement over time. Which TWO Google Cloud services are suitable for this task?
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
✓
AutoML Video
AutoML Video supports object tracking, and Video Intelligence API provides both object detection and tracking. AutoML Vision is for images only, Natural Language for text, and Speech-to-Text for audio.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
AutoML Vision
Why it's wrong here
AutoML Vision classifies or detects objects in still images, but it does not track movement across video frames over time. It is tempting because it is a custom vision model, and it would be correct for image labelling or single-frame detection, not for temporal tracking in video.
- ✗
Speech-to-Text
Why it's wrong here
Speech-to-Text transcribes spoken audio into written text; it processes no video frames, so it cannot detect or track objects. It is tempting because it is a media-analysis service, and it would be correct for generating transcripts or subtitles from recorded audio, not for visual object detection and movement tracking.
- ✓
AutoML Video
Why this is correct
AutoML Video lets you train a custom model on labelled video to detect and track objects specific to your domain, then serve predictions on new footage. This satisfies the movement-tracking requirement when pre-trained labels are insufficient.
- ✓
Video Intelligence API
Why this is correct
Video Intelligence API provides pre-trained object detection and tracking across video frames, returning entity annotations with timestamps and bounding boxes. It satisfies the requirement to detect objects and track movement over time without custom model training, unlike image-only or general-purpose vision services.
- ✗
Natural Language API
Why it's wrong here
Natural Language API analyses text for sentiment, entities and syntax, and cannot process video frames for object detection or tracking. It is tempting because it is a pre-trained ML API, and it would be correct for extracting entities or sentiment from transcripts, not for visual analysis of video content.
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