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NetApp Exam NS0-604 Topic 3 Question 6 Discussion

Actual exam question for NetApp's NS0-604 exam
Question #: 6
Topic #: 3
[All NS0-604 Questions]

A customer is consuming 30TB of capacity in NetApp Cloud Volumes ONTAP and is running enterprise file shares. However, only 10TB of capacity is actively being used. The customer wants to implement a cost-efficient solution in the Microsoft Azure cloud platform by using NetApp cloud products.

How can the customer achieve this?

Show Suggested Answer Hide Answer
Suggested Answer: C

The customer is using 30TB of capacity in NetApp Cloud Volumes ONTAP but only 10TB of this capacity is actively in use. The most cost-efficient solution in this case is to implement data tiering and optimization. Data tiering moves inactive or cold data to lower-cost storage (such as object storage in Azure), while keeping frequently accessed data on higher-performance storage. This strategy allows the customer to reduce costs by only paying for premium storage for the data that is actively in use, while moving less frequently accessed data to a cheaper storage tier.

Storing all data in the premium storage tier (A) would increase costs rather than reduce them. BlueXP backup and recovery (B) is for data protection, not cost optimization. Deploying an additional single-node Cloud Volumes ONTAP instance (D) would increase storage costs rather than optimize them.


Contribute your Thoughts:

Flo
2 months ago
Option B is the way to go, hands down. Backup and recovery is the key to a good night's sleep. Plus, it's like having a safety net for your data - you know, in case the customer's cat decides to take a nap on the keyboard or something.
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Lavina
2 months ago
Ah, the age-old conundrum: too much storage, not enough active usage. The customer should definitely look into that data tiering option. It's like a magical storage fairy, making the unused bits disappear!
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Francoise
1 months ago
C) Implement data tiering and optimization.
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Renea
1 months ago
A) Store all data in the premium storage tier.
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Jimmie
2 months ago
C) Implement data tiering and optimization.
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Chuck
2 months ago
Personally, I think deploying an additional single-node Cloud Volumes ONTAP instance is overkill. Just use that premium storage tier wisely, and you're golden!
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Lina
23 days ago
Deploying an additional single-node Cloud Volumes ONTAP instance seems unnecessary if the customer is looking to save costs.
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Claudia
25 days ago
Enabling BlueXP backup and recovery might be important for data protection, but may not directly address cost efficiency.
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Arlette
27 days ago
Data tiering and optimization could also help reduce costs by moving less frequently accessed data to lower cost storage.
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Mitsue
1 months ago
I agree, using the premium storage tier efficiently is key to cost savings.
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Melina
2 months ago
Whoa, hold on! If they enable BlueXP backup and recovery, they'll be able to restore data quickly in case of an emergency. That's a pretty important consideration.
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Rozella
1 months ago
D: Deploying an additional single-node Cloud Volumes ONTAP instance may not be necessary at this point, as optimizing existing capacity usage should be the priority.
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Tu
1 months ago
C: Storing all data in the premium storage tier may not be cost-efficient for the customer, as only 10TB of capacity is actively being used.
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Farrah
2 months ago
B: Enabling BlueXP backup and recovery is crucial for data protection and disaster recovery, ensuring quick restoration in case of emergencies.
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Breana
2 months ago
A: Implementing data tiering and optimization would help the customer save costs by moving less frequently accessed data to lower-cost storage tiers.
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Kattie
3 months ago
Option C is the way to go! Implementing data tiering and optimization will help the customer make the most of their storage capacity.
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Hana
2 months ago
User 3
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Solange
2 months ago
User 2
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Sherita
2 months ago
User 1
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Maile
3 months ago
I agree with Lauran. It will help reduce costs by moving less frequently accessed data to lower-cost storage.
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Lauran
3 months ago
I think the customer should implement data tiering and optimization.
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