1Z0-1072-25 Question 277
Select 2Your company runs a large HPC environment in Oracle Cloud Infrastructure (OCI) using File Storage for large datasets that change size daily. The DevOps team notices unexpected cost increases and wants to track which file systems are using the most storage and how costs accumulate over time. Which two approaches would allow you to accurately retrieve usage metrics for each file system and forecast future costs?
- A
Use OCI Monitoring to view the File Storage metrics (such as BytesUsed) for each file system.
- B
Create a custom File Storage metering process by installing custom agents on each compute instance.
- C
Leverage the OCI Usage API to query aggregated File Storage consumption and associated costs.
- D
Rely exclusively on the HPC cluster� local logs to deduce File Storage consumption trends.
- E
Switch to a separate block volume for storing logs to indirectly estimate File Storage usage.
Show answer and explanation
Correct answers: A, C
Explanation
To effectively measure file system usage and costs on OCI, leverage built-in OCI Monitoring metrics for File Storage (such as BytesUsed) and the OCI Usage API, which tracks consumption across compartments and services. These tools align with best practices documented in the OCI File Storage and Cost Analysis guides. By combining Monitoring metrics and Usage API reports, you can configure alerts, review historical trends, and forecast costs more accurately.
- A. Correct.
Correct. OCI Monitoring provides built-in metrics for File Storage, including BytesUsed, which lets you see how much data is stored in each file system. You can use these metrics to understand usage patterns and set alarms.
- B. Incorrect.
Incorrect. While you could develop a custom process, it� not the recommended or most efficient method. OCI provides built-in monitoring and usage tools that require significantly less overhead and configuration than manual agents.
- C. Correct.
Correct. The OCI Usage API allows you to retrieve usage and cost data programmatically. By filtering for File Storage resources, you can accurately track consumption over time and forecast costs.
- D. Incorrect.
Incorrect. Logs from your HPC cluster might contain information about read/write patterns, but they typically do not provide granular File Storage usage or cost data. You need actual metrics from File Storage to perform accurate analysis.
- E. Incorrect.
Incorrect. Storing logs elsewhere does not reliably indicate what your File Storage usage is. File Storage usage has dedicated metrics and cost data that should be tracked directly, rather than inferred through log size.