Dama CDMP-RMD Exam - Topic 2 Question 29 Discussion

Actual exam question for Dama's CDMP-RMD exam

Question #: 29
Topic #: 2

Matching or candidate identification is the process called similarity analysis. One approach is called deterministic which relies on:

AStatistical techniques for assessing the probability that any pair of records represents the same entity

BTaking data samples and looking at results for a subset of the records

CBeing able to determine the similarity between two data models

DAlgorithms for parsing and standardization and on defined patterns and rules for determining similarity

EFinding two references that are linked with a single entity

Show Suggested Answer

Suggested Answer: D

Deterministic matching, also known as exact matching, relies on predefined rules and algorithms to parse and standardize data, ensuring that records are compared based on exact or standardized values. This approach uses defined patterns and rules to determine whether two records represent the same entity by matching key attributes exactly. Deterministic matching is precise and unambiguous, making it a common approach for high-certainty matching tasks, although it can be less flexible than probabilistic methods that allow for variations in data.

DAMA-DMBOK2 Guide: Chapter 10 -- Master and Reference Data Management

'Entity Resolution and Information Quality' by John R. Talburt

by Brandon at Jul 03, 2025, 08:36 AM

Limited Time Offer

25%

Off

Get Premium CDMP-RMD Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Dwight

2 months ago

Totally with you on D, it covers all bases!

upvoted 0 times

...

Micheline

3 months ago

Wait, is it really just about algorithms? Sounds too simple.

upvoted 0 times

...

Cristy

3 months ago

I think A makes more sense, statistical techniques are crucial.

upvoted 0 times

...

Eugene

3 months ago

B is more about sampling, not really deterministic.

upvoted 0 times

...

Mayra

3 months ago

It's definitely D, algorithms are key!

upvoted 0 times

...

Lai

3 months ago

I’m a bit confused; I thought deterministic meant using specific data samples. Could it be B?

upvoted 0 times

...

Tabetha

4 months ago

I feel like we practiced a question similar to this, and it was about determining similarity through defined patterns. That makes me lean towards D as well.

upvoted 0 times

...

Shelton

4 months ago

I'm not entirely sure, but I remember something about statistical techniques being important in similarity analysis. Maybe A?

upvoted 0 times

...

Vicky

4 months ago

I think deterministic matching relies on algorithms and rules, so I might go with D.

upvoted 0 times

...

Paz

4 months ago

Based on my understanding, the deterministic approach uses algorithms for parsing and standardization, as well as defined patterns and rules, to determine similarity. So I think D is the best answer here.

upvoted 0 times

...

Dean

5 months ago

I'm a little confused by the wording of the question. Is it asking about the deterministic approach specifically, or just about similarity analysis in general? I want to make sure I understand the focus before selecting an answer.

upvoted 0 times

...

Ronnie

5 months ago

Okay, let me think this through. The deterministic approach relies on defined patterns and rules for determining similarity, so I believe the correct answer is D.

upvoted 0 times

...

Major

5 months ago

Hmm, I'm a bit unsure about this one. The options seem to cover different aspects of similarity analysis, but I'm not sure which one specifically describes the deterministic approach.

upvoted 0 times

...