Practice Test 4 | Google Cloud Certified Professional Data Engineer | Dumps | Mock Test
An online home product company wants to build a website where users can search for products by simply uploading the image of their product. The search engine will then match the product uploaded by the user with the feature of products the company has. The website will then show all the products to the user which match the product user has queried. Which below solution can be implemented efficiently in less time?
A. Train a tensor flow model by supplying all the images of the product company. This was model will learn from the feature of the product. This tensor flow model can be hosted on Google AI Platform.
B. Use Cloud Image Intelligence API and develop a REST based wrapper to fetch out results based on the user-uploaded images.
C. Create a deep neural network and train the models with the sample images. Train and test the model on sample data and minimize the loss function. Host the model on the Google Cloud AI Platform.
D. Use Cloud Vision API to create a product set each containing reference images. API can then be used to fetch out the matching product based on user input.
Correct Answer is D
Option A is incorrect. Training and validating the tensor flow model could take more amount of time. As mentioned in the question we need to choose a solution that is both efficient and can be delivered in less amount of time.
Option B is incorrect – There is no service called Cloud Image Intelligence API. For this purpose, we should use Cloud Vision API.
Option C is incorrect. Training and validating a custom deep neural network models could take more amount of time. As mentioned in the question we need to choose a solution that is both efficient and can be delivered in less amount of time.
Option D is correct. Using Cloud Vision API we can easily train by providing reference images. The API will allow the user to query the product catalog based upon the new image as input and will fetch the best matching products.
Refer GCP documentation
https://cloud.google.com/vision/product-search/docs/tutorial
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