Monitoring & Reporting Tools Flashcards

What is the primary risk of relying solely on user-reported issues as the monitoring strategy for data quality in reports?

Answer: Issues may go undetected until they have caused business harm

Reactive monitoring via user reports means problems are only discovered after they have already affected decisions, missing the proactive governance goal.

Which practice ensures that a monitoring dashboard itself is reliable and accurate?

Answer: Validating monitoring dashboard outputs against source data periodically

Periodic validation against source data confirms that the monitoring dashboard accurately reflects the state of the data it is designed to track.

A data steward is evaluating monitoring tools. Which capability is most important for detecting gradual data drift over time?

Answer: Trend analysis and statistical baseline comparison over rolling time windows

Trend analysis with rolling baselines can identify slow, gradual shifts in data distributions that point-in-time checks would miss.

Which governance role is typically responsible for certifying that a published report meets organizational data quality standards?

Answer: Data steward or data owner

Data stewards and data owners are accountable for validating and certifying reports as meeting the organization's data quality and governance standards.

When a monitoring system sends an alert for a data anomaly, what should the escalation path include?

Answer: Notification to the data steward with context, followed by escalation to the data owner if unresolved within the SLA

A structured escalation path ensures anomalies are acknowledged and resolved within defined timeframes while keeping appropriate stakeholders informed.

What does a 'data observability' platform provide beyond traditional data quality monitoring?

Answer: End-to-end visibility into data health across pipelines, including freshness, volume, schema, and lineage

Data observability extends monitoring to provide holistic, continuous insight into data reliability across the full pipeline ecosystem.

A report shows a sudden 40% drop in daily transaction records. Which first step should the data steward take?

Answer: Check pipeline run logs and source system feeds to determine if the drop reflects a real business change or a data delivery failure

Investigating pipeline logs and source feeds first determines whether the drop is a data delivery issue or a genuine business event before any communication.