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Which aspect of data poses the biggest challenge to using automated tools for data discovery and programmatic data classification?
Suggested Answer: D
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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.''
33 comments · newest first
CH
Christiane
11 months ago
Really? I thought the number of courses was the main problem!
JE
Jenelle
11 months ago
Quantity can be overwhelming too, though.
VA
Valene
12 months ago
Wait, are we sure it's not the language?
AR
Aretha
12 months ago
Totally agree, quality matters most!
NE
Nettie
12 months ago
I think quality is the biggest issue.
TA
Tawna
1 year 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.
LA
Lavera
1 year 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.
RO
Rolf
1 year 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.
DO
Donte
1 year 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.
KA
Kate
1 year 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.
GL
Glendora
1 year ago
This question seems straightforward, but I want to make sure I understand the key concepts before answering.
PE
Peggy
1 year 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.
KI
Kizzy
1 year 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.
GL
Glory
1 year 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.
PA
Paulina
1 year 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.
JA
Janet
1 year ago
D) Number of courses might be a factor, but quality is key for effective automation.
LE
Lemuel
1 year ago
C) Quality is definitely crucial for accurate data discovery and classification.
CA
Carla
1 year ago
B) Language is also important to consider when using automated tools.
FR
Francoise
1 year ago
A) Quantity? Psh, that's like saying a firefighter's biggest challenge is the number of fires.
SH
Shannon
1 year 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.
SU
Sue
1 year ago
B) Language can definitely complicate things, but ensuring data quality is key for reliable results.
LA
Lazaro
1 year ago
C) Quality is crucial for accurate classification, so I agree that it's a major hurdle for automated tools.
LE
Leonard
1 year ago
A) Quantity can also be a challenge, especially when dealing with large volumes of data.
CO
Colette
1 year ago
D) Number of courses? Really? That's not even related to the question. I'm going to have to disagree with that one.
AR
Ardella
1 year ago
B) Language can be tricky too. Different languages can make it difficult for automated tools to classify data correctly.
DA
Darrel
1 year ago
C) Quality is also a major issue. Ensuring the accuracy and reliability of the data is crucial.
LO
Lorrie
1 year ago
A) Quantity is definitely a big challenge. There's just so much data to go through.
NA
Nathalie
2 years 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.
OW
Owen
1 year ago
Yes, it can be difficult for automated tools to handle data with inconsistencies and errors.
VA
Val
1 year ago
I agree, data quality is definitely a big challenge for automated tools.
GL
Glory
2 years ago
I believe Language could also be a challenge, as different languages can complicate data classification.
DE
Delsie
2 years ago
I agree with Francine, Quantity can be overwhelming for automated tools.
FR
Francine
2 years ago
I think the biggest challenge is the Quantity of data.