PROFESSIONAL-CLOUD-ARCHITECT · Question #66
Case Study: 2 - TerramEarth Case Study Company Overview TerramEarth manufactures heavy equipment for the mining and agricultural industries: About 80% of their business is from mining and 20% from…
The correct answer is B. Capture all operating data, train machine learning models that identify ideal operations, and run. Google has announced two new products aimed at helping customers develop and deploy intelligent connected devices at scale: Edge TPU, a new hardware chip, and Cloud IoT Edge, a software stack that extends Google Cloud’s powerful AI capability to gateways and connected devices…
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Options
- AHave your engineers inspect the data for patterns, and then create an algorithm with rules that
- BCapture all operating data, train machine learning models that identify ideal operations, and run
- CImplement a Google Cloud Dataflow streaming job with a sliding window, and use Google Cloud
- DCapture all operating data, train machine learning models that identify ideal operations, and host
How the community answered
(21 responses)- A5% (1)
- B81% (17)
- C5% (1)
- D10% (2)
Explanation
Google has announced two new products aimed at helping customers develop and deploy intelligent connected devices at scale: Edge TPU, a new hardware chip, and Cloud IoT Edge, a software stack that extends Google Cloud’s powerful AI capability to gateways and connected devices. This lets you build and train ML models in the cloud, then run those models on the Cloud IoT Edge device through the power of the Edge TPU hardware accelerator. https://cloud.google.com/blog/products/gcp/bringing-intelligence-edge-cloud-iot
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