Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

Dama CDMP-RMD Exam - Topic 6 Question 41 Discussion

Matching or candidate identification is the process called similarity analysis. One approach is called deterministic which relies on:
D) Algorithms for parsing and standardization and on defined patterns and rules for determining similarity
A) Statistical techniques for assessing the probability that any pair of records represents the same entity
B) Taking data samples and looking at results for a subset of the records
C) Being able to determine the similarity between two data models
E) Finding two references that are linked with a single entity

Dama CDMP-RMD Exam - Topic 6 Question 41 Discussion

Actual exam question for Dama's CDMP-RMD exam
Question #: 41
Topic #: 6
[All CDMP-RMD Questions]

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

Show Suggested Answer Hide 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 Yoko at May 16, 2026, 03:07 PM

Limited Time Offer

25%

Off

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

Contribute your Thoughts:

0/2000 characters
Submit Cancel
Carma
A seems solid too. Statistical techniques are crucial.
upvoted 0 times
...
Sanda
5 days ago
I think D is the best choice. It covers algorithms and rules.
upvoted 0 times
...
Sherell
10 days ago
B is interesting too, sampling can reveal a lot.
upvoted 0 times
...
Dawne
15 days ago
Wait, are we sure about this? Sounds complicated!
upvoted 0 times
...
Jina
20 days ago
Totally agree with D, it's all about parsing!
upvoted 0 times
...
Sharika
26 days ago
I think A makes more sense for probability assessments.
upvoted 0 times
...
Beckie
1 month ago
It's definitely D, algorithms and rules are key!
upvoted 0 times
...
Angelica
1 month ago
B) seems too vague for deterministic approaches, right?
upvoted 0 times
...
Tegan
1 month ago
Totally agree with A), it's all about probabilities!
upvoted 0 times
...
Barrett
2 months ago
Wait, I thought similarity analysis was more about patterns, not just rules?
upvoted 0 times
...
Nenita
2 months ago
I think D) makes more sense for deterministic methods.
upvoted 0 times
...
Cheryll
2 months ago
A) is definitely the right choice!
upvoted 0 times
...
Anglea
2 months ago
I keep mixing up the definitions, but I think deterministic might involve assessing probabilities, so A could be a contender too.
upvoted 0 times
...
Carey
2 months ago
I feel like we practiced a question similar to this, and it was about algorithms, so D seems right to me.
upvoted 0 times
...
Shawna
2 months ago
I'm not entirely sure, but I remember something about statistical techniques being involved, which might point to A.
upvoted 0 times
...
Lore
4 months ago
I think deterministic matching relies on defined patterns and rules, so I would go with D.
upvoted 0 times
...

Save Cancel