Google Cloud Digital Leader Practice Exam

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What type of analytics can organizations use to optimize cloud resource usage?

Real-time transaction analytics.
Predictive behavior analytics.
Performance benchmarking analytics.
Network traffic analytics.

The correct answer is: Predictive behavior analytics.

Organizations can utilize predictive behavior analytics to optimize cloud resource usage effectively. This type of analytics involves examining historical data and trends to forecast future resource demands and usage patterns. By leveraging these insights, businesses can make informed decisions about scaling resources up or down, ensuring efficient allocation and reducing unnecessary costs. Predictive analytics helps organizations adjust dynamically to changing workloads and user behaviors, which is critical in cloud environments where resource needs can fluctuate dramatically. Real-time transaction analytics focuses on immediate data processing to understand current events, which, while useful for performance monitoring, does not aid in long-term resource optimization. Performance benchmarking analytics is primarily concerned with measuring how applications perform under various conditions, rather than predicting future usage. Network traffic analytics examines data flow within the network but does not directly address cloud resource allocation and optimization. In contrast, predictive behavior analytics is more comprehensive in forecasting needs based on historical trends, making it the most suitable choice for optimizing cloud resource usage.