Which challenge is Cloud IoT designed to address?

(A) Multiple data marts are inefficient: they are complex and costly, and they make data difficult to use.

(B) 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.

(C) 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.

(D) Organizations find it difficult to stay ahead when they continuously have to accommodate new data sources and more data without sacrificing efficiency.

Conclusion

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.

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