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Pure Storage Exam FBAP_002 Topic 7 Question 44 Discussion

Actual exam question for Pure Storage's FBAP_002 exam
Question #: 44
Topic #: 7
[All FBAP_002 Questions]

A customer wants to leverage FlashBlade to create a DataHub. Which set of applications will co-exist on a FlashBlade DataHub?

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Suggested Answer: C

by Krystina at Aug 26, 2024, 04:43 PM

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Lacresha
8 months ago
B seems tempting, but C is the way to go. Gotta have that Veeam backup, am I right?
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Gregg
8 months ago
Definitely, Veeam is essential for data protection.
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Yoko
8 months ago
B seems tempting, but C is the way to go.
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Rosio
8 months ago
Gotta have that Veeam backup, am I right?
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Allene
9 months ago
Haha, A? Really? CommVault and VDI in a DataHub? Someone's been living under a rock.
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Lasandra
7 months ago
Barabara: C) SAS, Elastic Search, Kafka, Spark, Veeam
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Ramonita
8 months ago
Definitely, A is not the right choice for a DataHub.
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Barabara
8 months ago
Yeah, that sounds more like it. A seems outdated.
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Mammie
8 months ago
B) AI/ML, Kafka, Spark, Oracle OLTP, SAP
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Veta
9 months ago
I think option D is also a strong choice, with Oracle OLTP for transaction processing.
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Steffanie
9 months ago
Hmm, I was gonna go with D, but C makes more sense. Gotta love that Elastic Search integration.
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Delmy
9 months ago
Yeah, I agree. C seems like the best option for a DataHub.
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Nida
9 months ago
I think C is the way to go. Elastic Search is a game changer.
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Percy
9 months ago
I prefer option B, as it includes AI/ML which is crucial for modern data processing.
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Carin
9 months ago
I agree with Ezekiel, option C includes a good mix of applications for a DataHub.
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Candra
9 months ago
C is definitely the right answer here. I can't imagine a DataHub without Kafka and Spark.
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Shawna
8 months ago
CommVault and Veeam are more for backup and recovery, not really for a DataHub.
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Xuan
9 months ago
SAS and Elastic Search are also important for data analytics.
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Ty
9 months ago
I agree, Kafka and Spark are essential for a DataHub.
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Ezekiel
9 months ago
I think option C is the best choice for a DataHub.
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