Data engineers and analysts use precise collocations in quality workflows. From validating data to remediating issues, this quiz covers the vocabulary of modern data governance and observability platforms.
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Data pipelines should ___ incoming data against schema rules before loading it to the warehouse.
Validate data is the standard data engineering collocation for systematically checking that data conforms to defined rules, types, and constraints. 'Check' is informal. 'Test' is for software. 'Verify' is used for security and identity contexts. Validate is the precise data quality term used in ETL and ELT documentation.
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Data teams use tools like Great Expectations to ___ contracts between upstream producers and consumers.
Enforce contracts is the data quality collocation for ensuring that data producers adhere to agreed-upon schemas and standards automatically. 'Apply' is used for settings. 'Implement' is for building. 'Maintain' is for keeping something in place. Enforce implies automated, non-negotiable compliance.
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When bad records are detected, the data team must ___ issues before they affect downstream reports.
Remediate issues is the professional data quality collocation for the structured process of identifying, correcting, and preventing recurrence of data problems. 'Fix' is informal. 'Correct' is generic. 'Resolve' is for incidents. Remediate implies a systematic, documented process — the standard term in data governance frameworks.
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Alerting systems are configured to ___ freshness, flagging when data stops arriving on schedule.
Monitor freshness is the data observability collocation for continuously checking that datasets are updated within expected time windows. 'Track' is for trends over time. 'Check' is manual and periodic. 'Watch' is informal. Monitor freshness is the standard phrase in data observability platforms like Monte Carlo or Bigeye.
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Each dataset in the data catalog must have a named owner to ___ accountability for its quality.
Establish ownership is the data governance collocation for formally assigning responsibility for a data asset's accuracy and maintenance. 'Create' is too broad. 'Define' works but implies more documentation. 'Set' is informal. Establish ownership is the phrase used in data governance charters and catalog onboarding workflows.