Describe Metadata and Master Data Management DATA-ENGINEERING-OPTIMIZE Practice Questions (Page 6)

Questions 26–29

1. 26application · medium

   A data governance team wants to provide a self-service catalog where data analysts can search for datasets, view their business definitions, and see data quality scores. They also want to automate the extraction of technical metadata from the data warehouse. Which tool category should they select?

   • AData quality tool
   • BData catalog tool
   • CData integration tool
   • DBusiness intelligence tool
   Reveal Solution Discussion Select an answer first
2. 27foundation · easy

   Which metadata management process ensures that metadata is accurate, consistent, and compliant with organizational policies?

   • AMetadata capture
   • BMetadata governance
   • CMetadata integration
   • DMetadata storage
   Reveal Solution Discussion Select an answer first
4. 28expert · hard

   A logistics company uses a data lake to store sensor data from vehicles and shipment records. They want to implement MDM for shipment tracking, but the data is highly variable and arrives in real-time. They also need to ensure that the MDM system can handle data quality issues such as missing or duplicate shipment IDs. What is the best approach?

   • AStore all data in the data lake and run MDM batch jobs nightly.
   • BUse a single relational database for MDM to simplify data quality management.
   • CUse a stream processing framework (e.g., Kafka, Flink) to preprocess data and feed a scalable MDM system.
   • DSkip MDM and use the data lake's raw data for tracking.
   Reveal Solution Discussion Select an answer first
5. 29application · medium

   A global e-commerce company uses a data lake to store customer behavior data. They want to implement MDM to create a unified customer view, but they face challenges with data volume, variety, and velocity. What is a best practice for applying MDM in this big data context?

   • AAvoid MDM and rely on data lake raw storage for all analytics.
   • BUse a scalable, distributed MDM platform that can handle large volumes and real-time updates.
   • CLimit MDM to batch processing to reduce complexity.
   • DStore all master data in a single relational database.
   Reveal Solution Discussion Select an answer first