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GAQM CFA-001 Exam - Topic 2 Question 55 Discussion

Raw data acquisition format creates ____________of a data set or suspect drive.
A) Simple sequential flat files
B) Segmented files
C) Compressed image files
D) Segmented image files

GAQM CFA-001 Exam - Topic 2 Question 55 Discussion

Actual exam question for GAQM's CFA-001 exam
Question #: 55
Topic #: 2
[All CFA-001 Questions]

Raw data acquisition format creates ____________of a data set or suspect drive.

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Suggested Answer: A

by Hermila at Oct 12, 2022, 04:05 AM

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Royal
8 months ago
B could also be a possibility, but I lean towards D.
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Rikki
8 months ago
Wait, are we sure about A? Seems too straightforward.
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Myrtie
9 months ago
I’m with Adria on this one, A is correct!
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Latanya
9 months ago
I think it’s D, segmented image files make more sense for analysis.
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Adria
9 months ago
Definitely A, simple sequential flat files are the way to go.
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Socorro
9 months ago
I vaguely recall something about simple sequential flat files, but it seems too straightforward for this context.
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Camellia
9 months ago
I feel like segmented image files could be the right answer, but I need to double-check my notes.
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Tricia
9 months ago
I remember practicing a question about compressed image files, but that doesn't seem to fit here.
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Ceola
9 months ago
I think raw data acquisition format might create segmented files, but I'm not entirely sure.
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Elbert
9 months ago
I feel pretty confident that the reactive approach would be in response to sudden changes in the marketplace, as described in option C. That seems like the most logical reason for a buyer to take a reactive approach to a supplier partnership.
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Bette
9 months ago
This is a good test of our RESTCONF and YANG model knowledge. I'll need to carefully review the options and make sure I understand the correct way to update the interface description.
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Dorothy
9 months ago
Hmm, I'm a bit confused by the code here. I'll need to review the servlet mapping rules to figure this out.
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Gertude
10 months ago
Hmm, I'm not sure about this one. I was thinking the system logs might be a good option, but the question is specifically asking about files that don't normally change. I'll have to think this through a bit more.
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Georgeanna
1 year ago
Raw data acquisition? More like raw data excavation, am I right? *winks*
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Leota
1 year ago
C) Compressed image files
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Mignon
1 year ago
B) Segmented files
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Wilford
1 year ago
A) Simple sequential flat files
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Felicitas
1 year ago
Segmented image files in option D could be an interesting approach, but I'm not sure if that's the standard for raw data acquisition.
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Latrice
1 year ago
D) Segmented image files could provide a more detailed view of the data.
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Caitlin
1 year ago
C) Compressed image files could save storage space.
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Phil
1 year ago
B) Segmented files might help organize the data better.
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Kizzy
1 year ago
A) Simple sequential flat files would be easier to work with.
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Titus
1 year ago
Compressed image files in option C might be efficient, but I doubt that's the intended format for raw data capture.
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Ardella
1 year ago
C) Compressed image files
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Jacki
1 year ago
B) Segmented files
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Jacki
1 year ago
A) Simple sequential flat files
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Ona
1 year ago
Segmented files in option B could be useful for organizing large data sets, but I'm not sure if that's the primary purpose of raw data acquisition.
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Annette
1 year ago
Option A seems like the most straightforward way to acquire raw data, but I wonder if it's really that simple.
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Maryann
1 year ago
I agree, but it's important to consider the specific requirements of the investigation before choosing a format.
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Mila
1 year ago
I think option A is the most common method used for raw data acquisition.
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Edwin
1 year ago
D) Segmented image files
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Cornell
1 year ago
C) Compressed image files
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Youlanda
1 year ago
B) Segmented files
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Irving
1 year ago
A) Simple sequential flat files
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Christoper
1 year ago
I'm not sure, but I think C) Compressed image files could also be a valid option for data acquisition format.
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Isadora
1 year ago
I disagree, I believe the answer is D) Segmented image files because they are more efficient for large data sets.
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Dean
1 year ago
I think the answer is A) Simple sequential flat files.
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