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ISC2 CCSP Exam - Topic 4 Question 120 Discussion

Posted by Truman on Jul 02, 2026 at 03:14 AM

When data discovery is undertaken, three main approaches or strategies are commonly used to determine what the type of data, its format, and composition are for the purposes of classification.

Which of the following is NOT one of the three main approaches to data discovery?

Suggested Answer: B

Hashing involves taking a block of data and, through the use of a one-way operation, producing a fixed-size value that can be used for comparison with other data. It is used primarily for protecting data and allowing for rapid comparison when matching data values such as passwords. Labels involve looking for header information or other categorizations of data to determine its type and possible classifications. Metadata involves looking at information attributes of the data, such as creator, application, type, and so on, in determining classification. Content analysis involves examining the actual data itself for its composition and classification level.


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21 comments · newest first
IR
Irene 2 days ago
I feel confident about B) Hashing. It's not a discovery approach.
MA
Mable 7 days ago
C) Labels seems more relevant to classification than hashing.
LA
Lavera 12 days ago
I was torn between B and C, but I lean towards B too.
DE
Devorah 18 days ago
I agree, hashing is more about integrity checks, not discovery.
BL
Blondell 23 days ago
I think the answer is B) Hashing. It doesn't fit the classification methods.
MO
Mollie 28 days ago
I hope we all get this right!
JA
James 1 month ago
Yeah, hashing just doesn't belong in that group.
HO
Honey 1 month ago
Content analysis and metadata are definitely part of it.
CA
Carey 1 month ago
But labels help in classification, so I still think it's B.
HA
Haley 2 months ago
I feel like C) Labels could be a trick option.
ST
Stephen 2 months ago
I agree, hashing is more about security.
PA
Patti 2 months ago
I think the answer is B) Hashing. It doesn't fit with the others.
CA
Catrice 2 months ago
I thought hashing was part of data discovery too, this is confusing.
LO
Loreta 2 months ago
Metadata is super important for classification, no doubt!
GR
Gracie 2 months ago
Wait, are labels really not a main approach? That seems off.
AL
Allene 3 months ago
Definitely agree, content analysis is key for understanding data!
VI
Virgina 3 months ago
I think hashing is more about security than discovery.
FR
Freeman 3 months ago
Metadata seems like it should be part of data discovery, but I can't recall if labels are actually used in that context.
MA
Margery 3 months ago
I practiced a question similar to this, and I think content analysis is definitely one of the main approaches.
ME
Mertie 3 months ago
I'm not entirely sure, but I feel like labels are more about organizing data rather than discovering its type or format.
BE
Benedict 4 months ago
I think I remember hashing being more about data integrity than discovery, so it might be the odd one out here.
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