Dama Exam CDMP-RMD Topic 1 Question 21 Discussion

Actual exam question for Dama's CDMP-RMD exam

Question #: 21
Topic #: 1

[All CDMP-RMD Questions]

MDM matching algorithms benefit from all of the following data characteristics except for which of the following?

ADistinctiveness across the population of data

BLow number of common data points

CHigh level of comparability of the data elements

DStructural heterogeneity of data elements

EHigh validity of the data

Show Suggested Answer

Suggested Answer: D

Every process within an MDM framework includes a degree of governance. Here's why:

Governance Definition:

Policies and Standards: Governance involves the establishment of policies, standards, and procedures to ensure data quality, consistency, and compliance.

Oversight: Provides oversight and accountability for data management practices.

MDM Processes:

Inherent Governance: All MDM processes, from data integration to data quality management, incorporate governance to ensure the integrity and reliability of master data.

Data Stewardship: Involves data stewards who oversee data governance activities, ensuring adherence to established standards and policies.

Data Management Body of Knowledge (DMBOK), Chapter 7: Master Data Management

DAMA International, 'The DAMA Guide to the Data Management Body of Knowledge (DMBOK)'

by Alba at Jan 13, 2025, 01:12 AM

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Omer

26 days ago

Oh man, this is like a game of data matching tetris! I'm gonna go with D, just to keep things interesting.

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Miesha

30 days ago

Hold up, is that a trick question? I bet the answer is C, high level of comparability of the data elements. Gotta keep those data points in line, am I right or am I right?

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Elenora

9 days ago

I see where you're coming from, but I believe the answer is E, high validity of the data.

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Ma

16 days ago

I think you might be onto something, but I'm leaning towards D, structural heterogeneity of data elements.

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Andra

1 months ago

Okay, let's think this through. I'm gonna go with E, high validity of the data. Can't have those algorithms matching up junk data, you know?

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Deja

19 days ago

I agree, high validity of the data is crucial for accurate matching.

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Mauricio

1 months ago

Woah, this question is tricky! I'm leaning towards B, low number of common data points. Gotta love those unique data sets, am I right?

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Dortha

2 months ago

Hmm, I think the correct answer is D. Structural heterogeneity of data elements. That's the only one that doesn't seem to benefit the matching algorithms, right?

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Jacqueline

25 days ago

No, I think E would actually benefit the matching algorithms. It's probably D.

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Lindsey

28 days ago

Yeah, D doesn't really help with matching algorithms like the other options do.

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Hermila

30 days ago

I agree, D does seem like the odd one out.

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Lindsey

30 days ago

I'm not so sure, I think it might be E. High validity of the data.

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Alonzo

1 months ago

Yeah, I think so too. The other options all sound like they would help with matching.

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Esteban

1 months ago

I agree, D seems like the odd one out.

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Florinda

2 months ago

I'm not sure, but I think E) High validity of the data could also be a correct answer, as accurate and reliable data is crucial for matching algorithms.

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Tamesha

2 months ago

I agree with Laurel, because MDM matching algorithms need data elements to be structurally similar for accurate matching.

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Laurel

2 months ago

I think the answer is D) Structural heterogeneity of data.

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