Describe Metadata and Master Data Management DATA-ENGINEERING-OPTIMIZE Practice Questions (Page 4)

Questions 16–20

1. 16foundation · easy

   What is a common challenge when applying Master Data Management (MDM) in a big data environment?

   • AHandling the high volume, velocity, and variety of data from multiple sources
   • BThe requirement to use only relational databases for master data
   • CThe inability to store data in a distributed file system
   • DThe lack of open-source tools for data processing
   Reveal Solution Discussion Select an answer first
2. 17application · medium

   A streaming platform ingests real-time customer interactions from web and mobile apps. The data engineering team wants to apply MDM principles to ensure that customer profiles are consistent and up-to-date across the streaming data. What is the primary challenge they must address?

   • AEliminating all duplicate records by manual review.
   • BHandling high-velocity data and ensuring low-latency matching and enrichment.
   • CStoring all raw streaming data in a data lake for batch processing.
   • DReplacing the streaming platform with a batch ETL system.
   Reveal Solution Discussion Select an answer first
4. 18application · medium

   A data engineering team is building a new data pipeline. They need to ensure that metadata is captured at every stage, from ingestion to transformation to consumption. Which process should they implement?

   • AUse a data quality tool to generate metadata.
   • BEmbed metadata capture into the pipeline code and store it in a metadata repository.
   • CManually document metadata after the pipeline is deployed.
   • DOnly capture metadata at the final output stage.
   Reveal Solution Discussion Select an answer first
5. 19application · medium

   A data engineering team is troubleshooting a data quality issue in a nightly batch job. They need to understand which upstream systems contributed to a specific data field and when the data was last refreshed. Which type of metadata will help them trace the data's origin and processing history?

   • ABusiness metadata
   • BTechnical metadata
   • COperational metadata
   • DReference metadata
   Reveal Solution Discussion Select an answer first
6. 20expert · hard

   A healthcare provider is implementing MDM for patient data. They have multiple source systems with different patient identifiers. They need to ensure that the MDM system can match records accurately, handle data quality issues, and provide a single patient identifier for analytics. What is the most critical component to implement?

   • AA data lake to store all patient data
   • BA data visualization tool for dashboards
   • CA data integration tool for ETL
   • DA robust data matching and deduplication engine
   Reveal Solution Discussion Select an answer first