When should you use report logs to check the performance of your reports?

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Multiple Choice

When should you use report logs to check the performance of your reports?

Explanation:
Regular, ongoing review of report logs is the best approach because it provides a continuous view of performance across many runs and datasets. The logs capture run time, data processed, and any errors, so inspecting them on a recurring schedule lets you detect slow reports, rising resource usage, or unusual spikes early and take fixes before users are affected. Checking logs after each run can be too reactive and noisy, while inspecting only on demand means you might miss issues that occur between checks. A strict daily check is helpful, but the key is establishing a recurring cadence that fits your environment, ensuring consistent monitoring over time.

Regular, ongoing review of report logs is the best approach because it provides a continuous view of performance across many runs and datasets. The logs capture run time, data processed, and any errors, so inspecting them on a recurring schedule lets you detect slow reports, rising resource usage, or unusual spikes early and take fixes before users are affected. Checking logs after each run can be too reactive and noisy, while inspecting only on demand means you might miss issues that occur between checks. A strict daily check is helpful, but the key is establishing a recurring cadence that fits your environment, ensuring consistent monitoring over time.

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