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NEW QUESTION: 1
At which RAID level are FAST Cache drives configured for VNX arrays?
A. RAID 5
B. RAID 3
C. RAID 0
D. RAID 1
Answer: D
Explanation:
Explanation/Reference:
Explanation:
The FAST Cache consists of one or more pairs of mirrored disks (RAID 1) and provides both read and write caching. For a read caching, the FAST Cache copies data off the disks being accessed into the FAST Cache.
For protected-write applications, the FAST Cache effectively buffers the data waiting to be written to disk.
NEW QUESTION: 2
管理者は、OVFが存在する外部HTTPサーバーからOVFマシンをプロビジョニングするようにブループリントを構成する必要があります。
OVFマシンをプロビジョニングするために、管理者が実行する必要がある2つのステップはどれですか（2つ選択してください。）
A. vCenterからOVFを直接実行します。
B. プロビジョニングワークフロー設定をImportOvfWorkflowとして構成します。
C. カスタマイズ仕様を指定します。
D. データ収集を実行します。
E. 存在するOVFファイルのURLの場所を指定します。
Answer: B,E
Explanation:
https://docs.vmware.com/en/vRealize-Automation/7.4/com.vmware.vra.prepare.use.doc/GUID-912750A7-7758-44EA-9ADC-ACD9A947BE67.html
NEW QUESTION: 3
A. R2(config-router)#distance ospf
B. R2(config-if)#bandwidth
C. R2(config-if)#ip ospf cost
D. R2(config-if)#ip ospf priority
E. R2(config-if)#clock rate
Answer: B,C
Explanation:
OSPF Cost http://www.cisco.com/en/US/tech/tk365/technologies_white_paper09186a0080094e9e.shtml#t6
The cost (also called metric) of an interface in OSPF is an indication of the overhead required to send packets across a certain interface. The cost of an interface is inversely proportional to the bandwidth of that interface. A higher bandwidth indicates a lower cost. There is more overhead (higher cost) and time delays involved in crossing a 56k serial line than crossing a 10M ethernet line. The formula used to calculate the cost is: cost= 10000 0000/bandwith in bps For example, it will cost 10 EXP8/10 EXP7 = 10 to cross a 10M Ethernet line and will cost 10 EXP8/1544000 =64 to cross a T1 line. By default, the cost of an interface is calculated based on the bandwidth; you can force the cost of an interface with the ip ospf cost <value> interface subconfiguration mode command.
NEW QUESTION: 4
チームの開発者の1人が、以下のDockerfileを使用してGoogle Container Engineでアプリケーションをデプロイしました。 彼らは、アプリケーションの展開に時間がかかりすぎると報告しています。
このDockerファイルを最適化して、アプリケーションの機能に悪影響を与えることなく、配備時間を短縮したいとします。 どちらの行動をとるべきですか？ 2つの回答を選択
A. パッケージの依存関係（Pythonとpip）がインストールされた後にソースをコピーします。
B. Alpine Linuxのようなスリムなベースイメージを使用してください。
C. pipを実行した後にPythonを削除します。
D. Google Container Engineノードプールには、より大きなマシンタイプを使用してください。
E. requirements.txtから依存関係を削除します。
Answer: A,B
Explanation:
The speed of deployment can be changed by limiting the size of the uploaded app, limiting the complexity of the build necessary in the Dockerfile, if present, and by ensuring a fast and reliable internet connection.
Note: Alpine Linux is built around musl libc and busybox. This makes it smaller and more resource efficient than traditional GNU/Linux distributions. A container requires no more than 8 MB and a minimal installation to disk requires around 130 MB of storage. Not only do you get a fully-fledged Linux environment but a large selection of packages from the repository.
References: https://groups.google.com/forum/#!topic/google-appengine/hZMEkmmObDU
https://www.alpinelinux.org/about/