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Exam Cloud Digital Leader topic 1 question 282 discussion

Actual exam question from Google's Cloud Digital Leader
Question #: 282
Topic #: 1
[All Cloud Digital Leader Questions]

An organization supplies electric car chargers in a nationwide network. They store customer and charging data in BigQuery. They want to efficiently upgrade and maintain their network to reduce waste and achieve their sustainability goals. How can Google Cloud services help the organization?

  • A. Secure data access by using Identity and Access Management.
  • B. Provide access to third-party developers by creating an API using Apigee.
  • C. Create a model in BigQuery to predict future maintenance schedules.
  • D. Move data from BigQuery to Cloud Storage to reduce storage costs.
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Suggested Answer: C 🗳️
by joshnort at Jan. 22, 2025, 2:04 a.m.

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joshnort
2 weeks, 1 day ago
Selected Answer: C
C. Create a model in BigQuery to predict future maintenance schedules. Explanation: By creating a machine learning model in BigQuery, the organization can analyze historical data related to their electric car chargers (such as usage patterns, maintenance history, and customer feedback) to predict future maintenance needs. This predictive analysis helps the organization efficiently schedule maintenance, reduce downtime, minimize waste, and optimize their network to achieve sustainability goals.
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joshnort
2 weeks, 1 day ago
Why not the other options? A. Secure data access by using Identity and Access Management: While securing data is important, this option focuses on access control, which is more about ensuring security and compliance, rather than directly helping with maintenance optimization or sustainability. B. Provide access to third-party developers by creating an API using Apigee: Creating an API using Apigee would enable third-party developers to access certain data or services, but it does not directly help with maintenance optimization or predicting future maintenance based on historical data. D. Move data from BigQuery to Cloud Storage to reduce storage costs: Moving data to Cloud Storage may reduce costs in some cases, but BigQuery is specifically designed for large-scale data analysis and querying. The organization would lose valuable analytics capabilities by moving their data out of BigQuery, which is crucial for predictive modeling and optimizing their network.
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