Q: 4
You work for a pet food company that manages an online forum Customers upload photos of their
pets on the forum to share with others About 20 photos are uploaded daily You want to
automatically and in near real time detect whether each uploaded photo has an animal You want to
prioritize time and minimize cost of your application development and deployment What should you
do?
Options
Discussion
I don’t think D is right. A is better since Cloud Vision API gives you object localization out of the box, no need to train or label datasets. It’s faster and cheaper for a simple animal/not animal check, pretty sure that’s what they want.
B. not D. Vendor practice tests cover Cloud Vision API usage like this pretty often.
A , D is a trap since manual labeling and training takes longer and costs more for this use case.
A makes sense for speed and cost. Cloud Vision API is ready to use, cuts out training and manual labeling. Practice with the official GCP console helps see how fast it works.
Cloud Vision API is probably the fastest and easiest here, so I'd pick A. Official docs and some hands-on with Vision API in the console are super helpful for this type of real-time detection use case. Anyone see a downside?
Be respectful. No spam.