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NEW QUESTION: 1
An architect is helping an organization redesign a previously installed NSX-T Data Center solution.
This information was gathered during the Assessment Phase:
* The company's headquarters Is located In Eastern Europe and there are several regional offices.
* The company owns several smaller companies around the globe.
* All locations must access the RESTful API of NSX-T through the internal network for automating the creation of segments.
* The company's HQ does not have any internal Public Key Infrastructure.
* NSX-T has already been installed at the company's headquarters.
The architect has determined self-signed certificates should be replaced with certificates signed by a Public Key Infrastructure. Which should the architect recommend in their design?
A. Replace vCenter root certificate with a certificate signed by a third-party Certificate Authority.
B. Replace the NSX Managers certificate with a certificate that Is signed by Company Public Key Infrastructure.
C. Replace the certificate on all three NSX Managers with a certificate that is signed by a third-party Public Key Infrastructure.
D. Replace the NSX-T root certificate with an internal Certificate Authority.
Answer: A

NEW QUESTION: 2
Cisco Easy Virtual Networkを実装したときに提供される主なサービスは何ですか。
A. マルチVRFとラベルが発生しやすいネットワークセグメンテーションを紹介します
B. VRF-Liteの使用を必要としそれを強化します
C. トラフィックの分離とネットワーク効率の向上を可能にします。
D. 共通サービスの分離が不要になります。
Answer: C

NEW QUESTION: 3
What are the three key technical concepts related to Grid computing?
A. Web Services
B. Clustering
C. Dynamic Provisioning
D. Server Virtualization
Answer: B,C,D
Explanation:
Explanation/Reference:
Grid computing is a technology architecture that virtualizes and pools IT resources, such as compute power, storage, and network capacity into a set of shared services that can be distributed and re- distributed as needed. Grid computing involves server virtualization, clustering, and dynamic provisioning.
Reference: Oracle Reference Architecture, Application Infrastructure Foundation, Release 3.0

NEW QUESTION: 4
What are some of the benefits of running Spark vs MapReduce? Choose the 2 correct answers:
A. Machine learning and streaming libraries included
B. Slower for iterative processing
C. No interactive query support
D. Faster than MapReduce using in-memory processing
Answer: A,D