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Dama CDMP-RMD Exam - Topic 3 Question 31 Discussion

Actual exam question for Dama's CDMP-RMD exam
Question #: 31
Topic #: 3
[All CDMP-RMD Questions]

The ______development lifecycle is the best approach to follow for Reference & Master Data efforts.

Show Suggested Answer Hide Answer
Suggested Answer: D

The data-centric development lifecycle is best suited for Reference & Master Data efforts because it prioritizes data integrity, quality, and governance throughout the entire development process. This approach ensures that reference and master data are consistently managed, maintained, and leveraged across various systems and applications.


DMBOK (Data Management Body of Knowledge), 2nd Edition, Chapter 11: Reference & Master Data Management.

DAMA International Guide to the Data Management Body of Knowledge (DAMA-DMBOK Guide), 2nd Edition.

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Daryl
2 months ago
Wait, is Data-centric really the best? I have my doubts.
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Angella
2 months ago
Project lifecycle seems too rigid for data management.
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Lachelle
3 months ago
Definitely agree, Agile allows for flexibility.
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Aleshia
3 months ago
I think Agile is the way to go for data projects!
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Celestina
3 months ago
System development lifecycle has its merits too, though!
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Frederica
3 months ago
I’m not confident, but I think Project lifecycle was mentioned in relation to Reference Data. I should have reviewed that section more thoroughly.
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Dante
4 months ago
I’m leaning towards System development lifecycle, but I recall some examples that highlighted Agile for data projects. It’s tough to decide!
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Ngoc
4 months ago
I remember discussing the importance of a data-centric approach in class. It feels like it could be the right answer, but I’m a bit confused about how it compares to Agile.
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Georgene
4 months ago
I think it might be Agile, but I’m not entirely sure. We did a practice question on development lifecycles, and Agile seemed to fit well with iterative processes.
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Nilsa
4 months ago
The Project lifecycle could work, but I'm not sure it fully captures the ongoing nature of reference and master data management. I may need to re-read the question.
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Brendan
5 months ago
I'm leaning towards the Data-centric option. That seems like it would provide the right framework for governing and managing reference and master data effectively.
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Alyce
5 months ago
The System development lifecycle is probably the most traditional approach, but I'm not sure if that's the best fit here. I'll have to think it through.
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Iraida
5 months ago
I'm a little unsure about this one. The Agile approach could also work well for reference and master data efforts, but I'm not totally confident.
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Trevor
5 months ago
I think the Data-centric approach makes the most sense for managing reference and master data. It's focused on the data itself rather than the system or project.
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Jerry
5 months ago
Project lifecycle? That's like trying to herd cats. I'd rather go with the Agile approach and let the data sort itself out.
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Leonard
5 months ago
Wait, there's a software lifecycle specifically for data? Mind. Blown. I'm going with D, Data-centric.
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Jacquline
6 months ago
Agile all the way! It's flexible and adaptable, perfect for managing reference and master data projects.
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Luisa
2 months ago
Exactly! Flexibility is key in data projects.
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Melvin
2 months ago
Plus, it encourages collaboration!
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Paris
2 months ago
I agree, it allows for quick adjustments.
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Lucia
3 months ago
Agile is definitely the way to go!
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Makeda
7 months ago
I prefer Agile development lifecycle.
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Karma
7 months ago
I think the Data-centric approach is the way to go. It just makes sense for reference and master data efforts.
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Vonda
7 months ago
I think the Agile approach could also work well for managing reference and master data.
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Tammara
7 months ago
I agree, the Data-centric approach is definitely the best for reference and master data efforts.
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Oliva
7 months ago
I think the best approach is Data-centric.
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