Isaca IT Risk Fundamentals Exam - Topic 1 Question 21 Discussion

Actual exam question for Isaca's IT Risk Fundamentals exam

Question #: 21
Topic #: 1

[All IT Risk Fundamentals Questions]

Incomplete or inaccurate data may result in:

Aavailability risk.

Brelevance risk.

Cintegrity risk.

Show Suggested Answer

Suggested Answer: C

Incomplete or inaccurate data results in integrity risk. Here's a detailed explanation:

Availability Risk: This pertains to the accessibility of data and systems. It ensures that data and systems are available for use when needed. Incomplete or inaccurate data doesn't necessarily impact the availability but rather the quality of the data.

Relevance Risk: This involves the appropriateness of the data for a specific purpose. While incomplete or inaccurate data might affect relevance, it primarily impacts the data's trustworthiness and correctness.

Integrity Risk: This is directly concerned with the accuracy and completeness of data. Integrity risk arises when data is incomplete or inaccurate, leading to potential errors in processing, decision-making, and reporting. Ensuring data integrity means ensuring that the data is both accurate and complete.

Therefore, the primary risk associated with incomplete or inaccurate data is integrity risk.

by Anthony at Nov 23, 2025, 01:17 PM

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Lynelle

9 hours ago

I think it's C) integrity risk. Data needs to be trustworthy.

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Doretha

6 days ago

All three could be affected, honestly!

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Pilar

11 days ago

Wait, are we sure about integrity risk? Seems off.

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Virgie

16 days ago

Availability risk is a thing too, though.

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Daisy

21 days ago

Definitely integrity risk!

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Hector

26 days ago

C is the way to go. Incomplete data = corrupted data. Integrity is the name of the game here.

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Sarah

1 month ago

Hmm, I'd say B. Incomplete data is just not going to be relevant or useful. Integrity is important, but relevance is key.

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Gwen

1 month ago

Availability, relevance, and integrity - it's like a trifecta of data disaster! Gotta get that one right.

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Moon

1 month ago

I think the answer is C. Incomplete data can definitely compromise the integrity of the information.

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Cletus

2 months ago

This is tricky! I feel like all three options could be affected by incomplete data, but I think integrity risk makes the most sense based on what we studied.

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Rickie

2 months ago

I'm leaning towards integrity risk because if the data is inaccurate, it compromises the whole dataset. But I could be mixing it up with relevance risk.

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Miles

2 months ago

I remember a practice question that mentioned availability risk in the context of data accuracy. Maybe that's what this is about?

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Kasandra

2 months ago

I think incomplete data could lead to integrity risk, but I'm not entirely sure. It feels like it could also relate to relevance risk.

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Tamesha

2 months ago

This question requires us to apply our knowledge of data quality concepts. I'll need to slow down, read the options closely, and make sure I understand how each one relates to the issue of incomplete or inaccurate data.

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Jess

2 months ago

I'm a bit unsure about this one. I know data quality is important, but I'm not totally clear on the distinctions between the different types of risks. I'll have to think it through carefully.

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Edelmira

3 months ago

Okay, I've got this. Incomplete or inaccurate data can lead to integrity risk, which is about the accuracy and reliability of the information. I'm confident I can select the right answer.

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Abraham

3 months ago

I think it's more about relevance risk.

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Iraida

3 months ago

Hmm, this seems straightforward, but I want to make sure I fully understand the differences between the options. I'll need to review my notes on data quality risks.

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Kathrine

3 months ago

I think this question is testing our understanding of data quality risks. I'll need to carefully consider each option and how it relates to incomplete or inaccurate data.

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