CompTIA DA0-002 Exam - Topic 2 Question 13 Discussion

Actual exam question for CompTIA's DA0-002 exam

Question #: 13
Topic #: 2

[Data Governance]

A data analyst receives a new data source that contains employee IDs, job titles, dates of birth, addresses, years of service, and employees' birth months. Which of the following inconsistencies should the analyst identify?

ARedundancy

BEquivalence

CParallel

DDuplication

Show Suggested Answer

Suggested Answer: A

by Floyd at Nov 21, 2025, 05:04 PM

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Afton

1 month ago

Yeah, but we should still check for all inconsistencies.

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Annice

1 month ago

Equivalence might not be as relevant here, right?

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Olive

2 months ago

True, duplication can mess up data integrity.

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Jamal

2 months ago

I feel like duplication is also a concern.

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Leontine

2 months ago

Definitely! Redundancy can lead to confusion.

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Shonda

2 months ago

I think redundancy is a big issue here.

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Darnell

2 months ago

Redundancy? Nah, I’d focus on duplication instead.

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Dominque

2 months ago

Job titles could have variations, so equivalence might be a concern.

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Elza

3 months ago

Wait, are we sure there’s no equivalence? Seems tricky.

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Kirk

3 months ago

I think duplication is a big issue here too.

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Ollie

3 months ago

Definitely looking for redundancy in that data.

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Elouise

4 months ago

D) Duplication all the way. I mean, who needs more than one employee ID? That's just asking for trouble.

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Rasheeda

4 months ago

Haha, this question is a real head-scratcher. I'm just going to go with whatever my magic 8-ball tells me.

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Thea

4 months ago

C) Parallel, for sure. Addresses and job titles running parallel to the employee IDs? Sounds like a recipe for disaster.

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Cordell

4 months ago

Hmm, I'm torn between A) Redundancy and D) Duplication. This data source is a bit of a mess, isn't it?

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Whitley

4 months ago

I'm going with B) Equivalence. Those birth months and years of service could definitely be equivalent data points.

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Ashanti

4 months ago

I feel like parallel inconsistencies are less common, but I might be mixing it up with something else we studied.

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Lawrence

5 months ago

Ah, data governance questions can be challenging, but I feel prepared for this. I'll methodically go through each option and assess which type of inconsistency is most likely to occur in the given data set.

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Rosita

5 months ago

This is a tricky one. I'm not totally confident, but I'll give it my best shot. Maybe I can eliminate a few options and then make an educated guess.

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Wilda

5 months ago

Okay, I think I've got this. The key is to look for any redundant data, like multiple entries for the same employee. Equivalence and parallel issues could also be possible, so I'll need to analyze the data closely.

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Glenn

5 months ago

D) Duplication seems like the obvious choice here. Who would have multiple employee IDs?

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Aimee

5 months ago

Equivalence sounds familiar, but I can't recall how it relates to this specific data set.

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Cordelia

5 months ago

I remember practicing a question about data inconsistencies, and I think duplication could be a strong candidate since IDs might repeat.

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Anastacia

6 months ago

I think redundancy might be an issue here, but I'm not entirely sure how it applies to employee data.

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Cherrie

6 months ago

Hmm, I'm a bit unsure about the differences between the options here. I'll need to review my notes on data inconsistencies to figure out which one best fits this scenario.

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Muriel

6 months ago

This looks like a data governance question. I'd start by checking for any duplicate employee IDs or addresses to identify potential duplication issues.

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