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NetApp NS0-593 Exam - Topic 8 Question 9 Discussion

Actual exam question for NetApp's NS0-593 exam
Question #: 9
Topic #: 8
[All NS0-593 Questions]

You Just used the CLI to create a NetApp ONTAP FlexGroup Volume on a NetApp Cloud Volumes ONTAP instance. After creation, you notice odd behavior in NetApp Cloud Manager.

In this scenario, what Is the reason for this behavior?

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Suggested Answer: D

by Elza at May 06, 2022, 01:57 AM

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Larue
4 months ago
Wait, are you sure about A? That seems surprising!
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Tijuana
4 months ago
I agree, B is a good point about the Capacity Management Mode.
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Mica
4 months ago
Definitely need to use Cloud Manager for provisioning, D makes sense.
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Mireya
4 months ago
I thought FlexGroups were supported in some scenarios?
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Alisha
5 months ago
A is correct, Cloud Volumes ONTAP doesn't support FlexGroup volumes.
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Cristy
5 months ago
I vaguely remember that Cloud Manager needs to be involved in provisioning FlexGroup volumes, but I'm not confident about that detail.
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Herman
5 months ago
I practiced a similar question where the management mode was a factor, but I can't recall if it should be set to Manual or Automatic for FlexGroup volumes.
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Rueben
5 months ago
I'm not entirely sure, but I feel like I came across something about capacity management modes in Cloud Manager during my studies.
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Donette
5 months ago
I think I remember that Cloud Volumes ONTAP doesn't support FlexGroup volumes at all, so maybe that's why we're seeing issues?
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Luke
5 months ago
Okay, let me think this through. If the view_type is not set or is unknown, I need to be aware of how that will impact the image data in the response. I'll need to carefully review the options to determine the best approach.
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Anisha
5 months ago
No problem, I've worked with Backup Exec before, so I'm familiar with these concepts. I'll quickly review the details and select the correct answer.
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Felicidad
5 months ago
Hmm, I'm not entirely sure about this. I'll need to review my notes on plugin management and configuration data in Jenkins.
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Kenneth
5 months ago
Option D seems promising - running multiple HPO jobs with different ranges and dividing the training jobs. That could help ensure we explore the full range more thoroughly. I'll need to think through the details, but this might be the most accurate solution.
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