(A) It connects globally distributed industrial devices into a single network that can be managed efficiently and serves as a new data source for an organization’s analytic systems to support improved operational efficiency.
(B) It has a deep interoperability with business intelligence (BI) tools, allowing it to connect multiple devices around the globe through the tools themselves.
(C) It is fully managed, with downtime-free upgrades and maintenance and seamless scaling, and it provides the benefits of operating on almost NoOps.
(D) It uses the Spark Machine Learning Libraries (MLlib) to run classification algorithms on very large datasets, relying on cloud-based machines where Spark can be installed and customized.
This question is a part of the GCP Big Data and Machine Learning Assessment section of the Google Cloud Platform Business Professional Accreditation. You can find answers to all the questions asked in this exam in our GCP Big Data and Machine Learning Assessment Answers page and Google Cloud Platform Business Professional Accreditation Answers page.