Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions

HP Exam HPE0-V26 Topic 6 Question 28 Discussion

Actual exam question for HP's HPE0-V26 exam
Question #: 28
Topic #: 6
[All HPE0-V26 Questions]

your customer needs to capture, store, manage, and analyze a dataset that exceeds capacity of typical database software tools.

What storage technology should you propose to meet their needs?

Show Suggested Answer Hide Answer

Contribute your Thoughts:

Pok
23 days ago
This question is a real head-scratcher. I'm just picturing someone trying to stuff an entire library into a database. Good luck with that!
upvoted 0 times
Paola
4 days ago
A) Block Storage
upvoted 0 times
...
...
Andrew
1 months ago
A) Block Storage? Hmm, I'm not sure that's the best option here. Block storage is great for individual files, but it doesn't really seem like the right fit for this kind of large-scale data management problem.
upvoted 0 times
Ty
3 days ago
D) File Storage might not be the best choice for this scenario. While it can store large amounts of data, it may not provide the necessary tools for managing and analyzing the dataset effectively.
upvoted 0 times
...
Tegan
8 days ago
C) Big Data is specifically designed for managing and analyzing large and complex datasets. It offers tools and technologies that can handle the volume, velocity, and variety of data that exceeds typical database software tools.
upvoted 0 times
...
Sheldon
11 days ago
B) Containers could be a good option for managing and analyzing large datasets. They provide a lightweight and portable way to package and run applications, which could be useful for handling big data.
upvoted 0 times
...
...
Gene
1 months ago
I'm going with C) Big Data. That's exactly what this question is asking for - a technology to handle large, complex datasets that can't be managed by traditional database tools. Big Data is the way to go!
upvoted 0 times
Jonell
3 days ago
C) Big Data is definitely the best solution for handling large, complex datasets that traditional database tools can't manage.
upvoted 0 times
...
Rashad
23 days ago
D) File Storage might be another suitable choice for managing and analyzing a dataset that exceeds typical database software tools.
upvoted 0 times
...
Reita
28 days ago
A) Block Storage could also be a good option for handling large datasets.
upvoted 0 times
...
...
Jerry
2 months ago
B) Containers? Really? I don't think that's the right solution for this kind of data storage need. Containers are more for running applications, not for managing massive datasets.
upvoted 0 times
Deja
1 months ago
C) Big Data
upvoted 0 times
...
Isabella
1 months ago
A) Block Storage
upvoted 0 times
...
...
Sina
2 months ago
D) File Storage sounds like the way to go here. Databases can only handle so much data, and this dataset exceeds that capacity. File storage seems like the logical choice to store and manage all that data.
upvoted 0 times
...
Fatima
2 months ago
I'm not sure, but I think File Storage could also be a good choice for this situation.
upvoted 0 times
...
Adelina
2 months ago
I agree with Jolanda, Big Data would be the best option to handle large datasets.
upvoted 0 times
...
Jolanda
2 months ago
I think we should propose Big Data for this scenario.
upvoted 0 times
...

Save Cancel
az-700  pass4success  az-104  200-301  200-201  cissp  350-401  350-201  350-501  350-601  350-801  350-901  az-720  az-305  pl-300  

Warning: Cannot modify header information - headers already sent by (output started at /pass.php:70) in /pass.php on line 77