Free Preparation Discussions
MENU
Dama Exam CDMP-RMD Topic 4 Question 19 Discussion
Topic #: 4
Choosing unreliable sources for data, which can cause data quality issues, is a result of:
Choosing unreliable sources for data can lead to significant data quality issues. This problem is often a symptom of underlying issues in data management practices.
Too Much Data:
While having excessive data can create challenges, it is not directly related to the reliability of data sources.
Immature Data Architecture:
An immature data architecture can contribute to various data issues, but it specifically relates to the overall design and infrastructure rather than the selection of data sources.
Weak Master Data Management (MDM):
MDM is crucial for ensuring data quality and consistency. Weak MDM practices can lead to poor data governance, lack of standardization, and the use of unreliable data sources.
Effective MDM involves establishing strong governance policies, data stewardship, and validation processes to ensure data is sourced from reliable and authoritative sources.
Too Little Data:
Insufficient data can be problematic but is not directly related to choosing unreliable data sources.
No Chance Controls:
This option is not a standard term in data management and does not directly address the issue of data source reliability.
DAMA-DMBOK (Data Management Body of Knowledge) Framework
CDMP (Certified Data Management Professional) Exam Study Materials
Maryanne
3 months agoElfriede
2 months agoJaney
2 months agoErnie
3 months agoMarti
3 months agoFranchesca
2 months agoShonda
2 months agoIlene
2 months agoChandra
3 months agoAlecia
4 months agoLauran
4 months agoThad
4 months agoDiane
3 months agoBettyann
3 months agoFrance
3 months agoPage
3 months agoBarbra
4 months agoRose
3 months agoAdelle
3 months agoMicheline
3 months agoTimothy
3 months agoJanae
3 months agoTaryn
4 months ago