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ISC2 Exam CCSP Topic 3 Question 65 Discussion

Actual exam question for ISC2's CCSP exam
Question #: 65
Topic #: 3
[All CCSP Questions]

Which aspect of data poses the biggest challenge to using automated tools for data discovery and programmatic data classification?

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Suggested Answer: D

According to ''The NIST Definition of Cloud Computing,'' in SaaS, ''The capability provided to the consumer is to use the provider's applications running on a cloud infrastructure. The applications are accessible from various client devices through either a thin client interface, such as a web browser (e.g., web-based e-mail), or a program interface. The consumer does not manage or control the underlying cloud infrastructure including network, servers, operating systems, storage, or even individual application capabilities, with the possible exception of limited user-specific application configuration settings.''


by Ozell at Jan 07, 2023, 01:21 AM

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Glory
1 months ago
D) Number of courses? Is this a data discovery exam or a course catalog? I'm starting to think the exam writers need a data discovery tool themselves.
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Paulina
1 months ago
A) Quantity? Psh, that's like saying a firefighter's biggest challenge is the number of fires. Clearly, C) Quality is the way to go here.
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Francoise
7 days ago
A) Quantity? Psh, that's like saying a firefighter's biggest challenge is the number of fires.
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Shannon
1 months ago
B) Language could be a challenge, especially if the data includes multiple languages or specialized terminology. But I'd say C) Quality is the biggest obstacle for automated tools.
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Sue
5 days ago
B) Language can definitely complicate things, but ensuring data quality is key for reliable results.
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Lazaro
8 days ago
C) Quality is crucial for accurate classification, so I agree that it's a major hurdle for automated tools.
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Leonard
14 days ago
A) Quantity can also be a challenge, especially when dealing with large volumes of data.
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Colette
2 months ago
D) Number of courses? Really? That's not even related to the question. I'm going to have to disagree with that one.
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Ardella
9 days ago
B) Language can be tricky too. Different languages can make it difficult for automated tools to classify data correctly.
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Darrel
20 days ago
C) Quality is also a major issue. Ensuring the accuracy and reliability of the data is crucial.
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Lorrie
29 days ago
A) Quantity is definitely a big challenge. There's just so much data to go through.
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Nathalie
2 months ago
I think the correct answer is C) Quality. Automated tools struggle with the complexities of data quality, such as inconsistencies, errors, and missing values.
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Owen
1 months ago
Yes, it can be difficult for automated tools to handle data with inconsistencies and errors.
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Val
1 months ago
I agree, data quality is definitely a big challenge for automated tools.
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Glory
2 months ago
I believe Language could also be a challenge, as different languages can complicate data classification.
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Delsie
3 months ago
I agree with Francine, Quantity can be overwhelming for automated tools.
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Francine
3 months ago
I think the biggest challenge is the Quantity of data.
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