Data Management & Integration Flashcards
7 cards from real CDO practice questions. Tap to flip, then mark Knew It or Still Learning โ missed cards come back until you master them.
Read the first 7 Data Management & Integration flashcards as text
A retailer's MDM hub must merge customer records from five source systems while leaving each source as the system of record. Which MDM implementation style fits best?
Answer: Registry style
Registry style keeps data in the sources and maintains only a cross-reference index with matching keys.
Which technique captures only inserted, updated, and deleted rows from a source database's transaction log for downstream integration?
Answer: Log-based change data capture
Log-based CDC reads the database transaction log, so it picks up every change with little load on the source.
In a data mesh, which principle most directly addresses the bottleneck of a single central data engineering team?
Answer: Domain-oriented decentralized ownership
Domain ownership moves accountability for analytical data to the business domains that produce it.
A Type 2 slowly changing dimension handles a customer's address change by doing what?
Answer: Inserting a new row with effective dates and a current flag
SCD Type 2 keeps full history by adding a new versioned row with effective dates.
Which DAMA-DMBOK knowledge area covers the movement and consolidation of data within and between data stores and applications?
Answer: Data Integration and Interoperability
DMBOK's Data Integration and Interoperability area covers ETL, ELT, replication, messaging, and virtualization.
A CDO needs real-time query access across three databases without physically copying the data. Which approach fits best?
Answer: Data virtualization / federation
Data virtualization gives one logical view by querying sources in place at run time.
Why does an ELT pattern often suit cloud data warehouses better than traditional ETL?
Answer: It uses the warehouse's scalable compute to transform data after loading
ELT loads raw data first and then transforms it inside the warehouse, using elastic cloud compute.
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