CompTIA SK0-005 Exam - Topic 1 Question 13 Discussion

Actual exam question for CompTIA's SK0-005 exam

Question #: 13
Topic #: 1

A server administrator has been creating new VMs one by one. The administrator notices the system requirements are very similar, even with different applications. Which of the following would help the administrator accomplish this task in the SHORTEST amount of time and meet the system requirements?

ASnapshot

BDeduplication

CSystem Restore

DTemplate

Show Suggested Answer

Suggested Answer: D

by Lizette at May 07, 2022, 12:15 PM

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Meghan

4 months ago

Deduplication? That’s not really relevant here, right?

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Quentin

4 months ago

Wait, can you really use templates for different apps? Sounds risky.

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Marcelle

4 months ago

Not sure about that, snapshots can be useful too.

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Launa

4 months ago

I agree, templates are the way to go!

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Lennie

5 months ago

Definitely go with Template! Saves so much time.

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Isaac

5 months ago

I thought deduplication was about saving space, not really about speeding up VM creation.

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Myra

5 months ago

I feel like we did a practice question on this, and templates were definitely the answer for similar setups.

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Douglass

5 months ago

I'm not entirely sure, but I think snapshots are more for backup rather than creating new VMs quickly.

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Lindsey

5 months ago

I remember we talked about templates in class; they can really speed up VM creation.

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Jani

5 months ago

Hmm, I'm a bit confused about the difference between SAML SSO and OpenID Connect. I'll need to review those protocols to make sure I understand which one is more appropriate for this scenario.

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Lynelle

5 months ago

Okay, I think I've got it. The security architecture is focused on message size, so it's likely not addressing attacks that don't rely on message size, like XML parser attacks. I'll go with option A.

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Merissa

5 months ago

Option D seems like the most comprehensive approach - exporting to Cloud Storage and then ingesting the data into the notebook. That way I can leverage the power of BigQuery and still work with the data in pandas.

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