Discuss Dama CDMP-RMD Exam Topic 6 Question 41

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

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

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24 comments · newest first

Mitsue 4 days ago

I’m leaning towards B. Sampling can show trends effectively.

Veronika 9 days ago

A seems good too. Statistical techniques are reliable.

Alease 14 days ago

I agree, D makes sense. Patterns are key in similarity analysis.

Keshia 19 days ago

I think D is the best choice. It’s all about algorithms.

Roslyn 24 days ago

I agree with D. Patterns are key in similarity analysis.

Maryann 29 days ago

E is not really deterministic, right?

Denna 1 month ago

C is interesting, but it feels too vague.

Emile 1 month ago

I lean towards B. Sampling gives good insights.

Carma 1 month ago

A seems solid too. Statistical techniques are crucial.

Sanda 2 months ago

I think D is the best choice. It covers algorithms and rules.

Sherell 2 months ago

B is interesting too, sampling can reveal a lot.

Dawne 2 months ago

Wait, are we sure about this? Sounds complicated!

Jina 2 months ago

Totally agree with D, it's all about parsing!

Sharika 2 months ago

I think A makes more sense for probability assessments.

Beckie 3 months ago

It's definitely D, algorithms and rules are key!

Angelica 3 months ago

B) seems too vague for deterministic approaches, right?

Tegan 3 months ago

Totally agree with A), it's all about probabilities!

Barrett 3 months ago

Wait, I thought similarity analysis was more about patterns, not just rules?

Nenita 3 months ago

I think D) makes more sense for deterministic methods.

Cheryll 3 months ago

A) is definitely the right choice!

Anglea 4 months ago

I keep mixing up the definitions, but I think deterministic might involve assessing probabilities, so A could be a contender too.

Carey 4 months ago

I feel like we practiced a question similar to this, and it was about algorithms, so D seems right to me.

Shawna 4 months ago

I'm not entirely sure, but I remember something about statistical techniques being involved, which might point to A.

Lore 5 months ago

I think deterministic matching relies on defined patterns and rules, so I would go with D.

Dama CDMP-RMD Exam - Topic 6 Question 41 Discussion