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Answer: Cloud Monitoring
**Correct Option: C. Cloud Monitoring** Cloud Monitoring is a fully managed service that offers comprehensive monitoring for your Google Cloud resources and applications. It's particularly useful for overseeing data pipelines by tracking: - **Resource utilization**: Such as CPU, memory, and disk usage. - **Latency**: The time taken by different stages of the pipeline. - **Error rates**: To quickly identify and troubleshoot issues. - **Throughput**: The amount of data processed by the pipeline. Utilizing Cloud Monitoring allows for proactive identification and resolution of pipeline issues, ensuring their reliability and efficiency. It supports custom metrics and alerts, making it scalable and cost-efficient while complying with data governance policies. **Why other options are incorrect:** - **A. Cloud Trace**: Focuses on monitoring request latency across microservices, not pipeline performance. - **B. Cloud Datastore**: A NoSQL database service, unrelated to monitoring. - **D. Cloud Pub/Sub**: A messaging service, not designed for monitoring purposes.
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In the context of managing and optimizing data pipelines on Google Cloud, you are tasked with selecting the most appropriate service for monitoring their performance and status. The solution must not only provide real-time insights into the pipeline's health but also support custom metrics and alerts to proactively address potential issues. Considering the need for scalability, cost-efficiency, and compliance with data governance policies, which Google Cloud service should you choose? (Choose one correct option)
A
Cloud Trace
B
Cloud Datastore
C
Cloud Monitoring
D
Cloud Pub/Sub
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