DAMA DMF-1220 Data Management Fundamentals Online Training
DAMA DMF-1220 Online Training
The questions for DMF-1220 were last updated at Jan 13,2025.
- Exam Code: DMF-1220
- Exam Name: Data Management Fundamentals
- Certification Provider: DAMA
- Latest update: Jan 13,2025
Confirming and documenting understanding of different perspectives facilitate:
- A . Formalization
- B . Normalization
- C . Scope definition
- D . Knowledge retention/documentation
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)
DBAs and database architects combine their knowledge of available tools with the business requirements in order to suggest the best possible application of technology to meet organizational goals.
- A . FALSE
- B . TRUE
A synonym for transformation in ETL is mapping. Mapping is the process of developing the lookup matrix from source to target structures, but not the result of the process.
- A . TRUE
- B . FALSE
Temporal aspects usually include:
- A . Valid time
- B . Transmitting time
- C . Transaction time
- D . Value time
Three data governance operating models types include:
- A . Centralized
- B . Decentralized
- C . Feathered
- D . Federated
- E . Replicated
- F . Duplicated
Business people must be fully engaged in order to realize benefits from the advanced analytics.
- A . TRUE
- B . FALSE
As an often-overlooked aspects of basic data movement architecture, Process controls include:
- A . Consistency logging
- B . Exception logs
- C . Database activity logs
- D . Alerts
- E . Exception logs
- F . All of the above
There are several reasons to denormalize data. The first is to improve performance by:
- A . Creating smaller copies of fata to reduce costly run-time calculations and/or table scans of large tables.
- B . None of the above
- C . Pre-calculating and sorting costly data calculations to avoid runt-time system resource competition.
- D . Making tables more readable when no foreign key exists
- E . Combining data from multiple other tables in advance to avoid costly run-time joins
- F . All of the above
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