Data Communication and Computer Networks - Cloud Computing
- Option : A
- Explanation : ML allows for the use of standard algorithms for generating different models including classification, and linear regression models. The same code can be used on different datasets promoting code reuse.
- Option : A
- Explanation : Al platform is a service that can manage resources for the ML models you build using TensorFlow
118. Which of the following statements best describes Cloud AutoML?
- A
Enables users with no ML expertise to deploy models specific to their business needs
- B
Enables users with limited ML expertise to train models specific to their business needs
- C
Enables users with extensive ML expertise to train models specific to their business needs
- D
Enables users with limited ML expertise to deploy pre-trained models specific to their business needs
- Option : B
- Explanation : Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their business needs. It relies on Google's state-of-the-art transfer learning and neural architecture search technology. Cloud AutoML helps customers with limited ML experience to build models based on their data
- Option : B
- Explanation : While facial detection can detect when a face appears in photos, facial recognition isn't supported and Google doesn't store facial detection information on any Google server.
- Option : B
- Explanation : With the Cloud Text-to-Speech API, you can create lifelike interactions with users that transform customer service, device interaction, and other applications
