Practice Test 2 | Google Cloud Certified Professional Data Engineer | Dumps | Mock Test
An online learning platform wants to generate captions for its videos. The platform offers around 2,500 courses with topics about business, finance, cooking, development & science. The platform allows content with different languages such as French, German, Turkish and Thai. Thus, this can be very difficult for a single team to caption all available courses and they are looking for an approach which helps do such massive job.
Which product from Google Cloud will you suggest them to use?
A. Cloud Speech-to-Text.
B. Cloud Natural Language.
C. Machine Learning Engine.
D. AutoML Vision API.
Answer: A.
Answer A is correct: Cloud Speech-to-Text is a service to generate captions from videos by detecting speakers language and speech.
Answer B is incorrect: Cloud natural language service is to derive insights from unstructured text revealing meaning of the documents and categorize articles. It won’t help extracting captions from videos.
Answer C is incorrect: Machine Learning Engine is a managed service letting developers and scientists build their own models and run them in production. This means, you have to build your own model to generate text from videos which needs much effort and experience to build such model. So, it’s not a practical solution for this scenario.
Answer D is incorrect: AutoML Vision API is a service to recognize and derive insights from images by either using pre-trained models or training a custom model based on a set of photographics.
Source(s):
Google NLP: https://cloud.google.com/natural-language/
Google Machine Learning Engine: https://cloud.google.com/ml-engine/
Google Vision API: https://cloud.google.com/vision
Google Speech-to-Text API: https://cloud.google.com/speech-to-text/
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