Which challenge is Cloud IoT designed to address?

Organizations ﬁnd it diﬃcult to stay ahead when they continuously have to accommodate new data sources and more data without sacriﬁcing eﬃciency.
Accepting that most devices can theoretically be connected to a network, building and managing such networks in a global, secure way—and then getting data out of them for analysis—is complex and diﬃcult for organizations.
Multiple data marts are ineﬃcient: they are complex and costly, and they make data diﬃcult to use.
Organizations that want to take advantage of machine learning need to centralize their data with a managed data store that can consolidate structured and semi-structured data.

The correct answer is:

Accepting that most devices can theoretically be connected to a network, building and managing such networks in a global, secure way—and then getting data out of them for analysis—is complex and diﬃcult for organizations.

Sources: Google Cloud Platform Business Professional Accreditation Certification Course

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