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ISC2 CCSP Exam - 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.''


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Christiane
4 months ago
Really? I thought the number of courses was the main problem!
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Jenelle
4 months ago
Quantity can be overwhelming too, though.
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Valene
4 months ago
Wait, are we sure it's not the language?
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Aretha
4 months ago
Totally agree, quality matters most!
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Nettie
4 months ago
I think quality is the biggest issue.
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Tawna
5 months ago
I vaguely recall that quality is often cited as a major issue in data classification, but I wonder if the quantity could also be a contender here.
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Lavera
5 months ago
I practiced a similar question about data quantity before, and I feel like that could overwhelm automated systems, but I’m not completely confident.
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Rolf
5 months ago
I think the language aspect could be tricky since different datasets might use various terminologies, but I need to double-check my notes on that.
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Donte
5 months ago
I remember discussing how the quality of data can really impact automated tools, but I'm not sure if that's the biggest challenge.
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Kate
5 months ago
I think the key here is to generate the CSR offline and then install both the certificate and private key on the switch. That's the most secure approach and aligns with the guidelines for ArubaOS-Switches.
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Glendora
5 months ago
This question seems straightforward, but I want to make sure I understand the key concepts before answering.
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Peggy
5 months ago
I'm a bit confused by this question. It mentions that there might be more than one correct solution, so I'm not sure if the provided solution is the only way to approach this. I'll need to carefully review the requirements and explore other potential solutions.
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Kizzy
5 months ago
I thought templates could break things during compile time, so maybe the program won't compile at all, which would mean option B? I need to think more about that.
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Glory
9 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
9 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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Janet
8 months ago
D) Number of courses might be a factor, but quality is key for effective automation.
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Lemuel
8 months ago
C) Quality is definitely crucial for accurate data discovery and classification.
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Carla
8 months ago
B) Language is also important to consider when using automated tools.
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Francoise
8 months ago
A) Quantity? Psh, that's like saying a firefighter's biggest challenge is the number of fires.
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Shannon
10 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
8 months ago
B) Language can definitely complicate things, but ensuring data quality is key for reliable results.
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Lazaro
8 months 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
9 months ago
A) Quantity can also be a challenge, especially when dealing with large volumes of data.
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Colette
10 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
8 months 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
9 months ago
C) Quality is also a major issue. Ensuring the accuracy and reliability of the data is crucial.
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Lorrie
9 months ago
A) Quantity is definitely a big challenge. There's just so much data to go through.
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Nathalie
11 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
9 months ago
Yes, it can be difficult for automated tools to handle data with inconsistencies and errors.
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Val
9 months ago
I agree, data quality is definitely a big challenge for automated tools.
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Glory
11 months ago
I believe Language could also be a challenge, as different languages can complicate data classification.
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Delsie
11 months ago
I agree with Francine, Quantity can be overwhelming for automated tools.
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Francine
11 months ago
I think the biggest challenge is the Quantity of data.
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