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HP HPE2-N68 Exam With Confidence Using Practice Dumps

Exam Code:
HPE2-N68
Exam Name:
Using HPE Containers
Certification:
HPE Product Certified - Containers [2021]
Vendor:
HP
Questions:
40
Last Updated:
Nov 23, 2024
Exam Status:
Stable
HP HPE2-N68

HPE2-N68: HPE Product Certified - Containers [2021] Exam 2024 Study Guide Pdf and Test Engine

Are you worried about passing the HP HPE2-N68 (Using HPE Containers) exam? Download the most recent HP HPE2-N68 braindumps with answers that are 100% real. After downloading the HP HPE2-N68 exam dumps training , you can receive 99 days of free updates, making this website one of the best options to save additional money. In order to help you prepare for the HP HPE2-N68 exam questions and verified answers by IT certified experts, CertsTopics has put together a complete collection of dumps questions and answers. To help you prepare and pass the HP HPE2-N68 exam on your first attempt, we have compiled actual exam questions and their answers. 

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Using HPE Containers Questions and Answers

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Question 1

What is a use case for Apache Spark?

Options:

A.

Processing and analyzing data quickly

B.

Establishing secure communications

C.

Storing data and ensuring data protection

D.

Making Kubernetes easier to manage

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Question 2

What Is the arbiter's role in the HPE Ezmeral Container Platform?

Options:

A.

Direct the shadow controller to begin managing the platform if the controller fails

B.

Monitor the gateway and notify the administrator if a critical error occurs

C.

Detect if the controller or shadow controller has failed and begin managing the platform

D.

Load balance requests sent to the controller and shadow controller

Question 3

For which use case should you enable Istlo on a Kubernetes cluster?

Options:

A.

Preparing complex, stateful applications for deployment on Kubernetes

B.

Ensuring that the cluster is capable of supporting AI/ML workloads and the full AI/ML lifecycle

C.

establishing secure communications between components in a microservtce-based application

D.

deploying Spark. MapReduce. and other big data applications that need data management services

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