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DA0-002 · Question #1

A data analyst created a dashboard to illustrate the traffic volume and mean response time for a call center. The traffic data is current, but the mean response time has not updated for more than an h

The correct answer is C. Checking the last time the calculation script ran. To verify the freshness of non-updating dashboard data, the best approach is to check when the underlying calculation script for that specific data last executed. This directly addresses the potential delay in data processing rather than infrastructure or input data issues.

Visualization and Reporting

Question

A data analyst created a dashboard to illustrate the traffic volume and mean response time for a call center. The traffic data is current, but the mean response time has not updated for more than an hour. Which of the following is the best way to verify the data's freshness?

Options

  • ARefactoring the code base
  • BTesting for network connectivity issues
  • CChecking the last time the calculation script ran
  • DDetermining the number of calls with no timestamps

How the community answered

(20 responses)
  • A
    5% (1)
  • B
    5% (1)
  • C
    80% (16)
  • D
    10% (2)

Why each option

To verify the freshness of non-updating dashboard data, the best approach is to check when the underlying calculation script for that specific data last executed. This directly addresses the potential delay in data processing rather than infrastructure or input data issues.

ARefactoring the code base

Refactoring the code base is a development activity to improve code quality or performance, not a diagnostic step for data freshness.

BTesting for network connectivity issues

While network issues can cause data delays, the problem statement specifies only one metric is stale, suggesting a more specific processing issue rather than a general connectivity problem affecting all data.

CChecking the last time the calculation script ranCorrect

If the mean response time data is stale, it indicates that the process responsible for generating or updating this specific metric has not run recently. Checking the last execution time of the calculation script directly verifies if the data processing pipeline for that metric is operating as expected or has stalled.

DDetermining the number of calls with no timestamps

Determining calls with no timestamps might indicate data quality issues, but it doesn't directly explain why a previously existing and updating metric has become stale.

Concept tested: Data freshness troubleshooting, data pipeline monitoring

Topics

#Data Freshness#Dashboard Troubleshooting#Data Pipelines#Data Refresh

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