Data quality issues cannot emerge at any point in the data lifecycle.
A. FALSE
B. TRUE
Typically, DW/BI projects have three concurrent development tracks, including:
A. Technology
B. Trickle Feeds
C. Data
D. BI Tools
E. Messaging
F. Streaming
Corrective actions are implemented after a problem has occurred and been detected.
A. FALSE
B. TRUE
Data architects facilitate alignment between [1] and [2]
A. [1] Business and [2] IT
B. [1] Technology and [2] Data
C. [1] Governance and [2] Management
D. [1] Strategy and [2] Execution
The first two steps in the data science process are:
A. Define Big Data data strategy & Business Need(s)
B. Choose Data Sources
C. Develop Data Science Hypotheses and Mehods
D. Acquire & Ingest Data source(s)
Consistent input data reduces the chance of errors in associating records. Preparation processes include:
A. Standardization
B. Enrichment
C. Validation
D. Database management
Those responsible for the data-sharing environment have an obligation to downstream data consumers to provide high quality data.
A. TRUE
B. FALSE
Operational Metadata describes details of the processing and accessing of data. Which one is not an example:
A. Error logs
B. Schedule anomalies
C. Purge criteria
D. Failure logs
ISO 8000 will describe the structure and organization of data quality management, including:
A. Data Quality Assurance
B. None of the above
C. Data Quality Planning
D. Data Quality Audit
E. Data Quality Control
F. Data Quality Improvement
One of the deliverables in the Data Integration and Interoperability context diagram is:
A. Data Integration and Interoperability Strategy
B. Data hogging
C. Data access agreements
D. Data security plan
Data modelling tools are software that automate many of the tasks the data modeller performs.
A. FALSE
B. TRUE
Document and content management is defined as planning, implementation and control activities for storage management of data and information found in any form or medium.
A. TRUE
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