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NEW QUESTION: 1
お客様は、MicrosoftHyper-V仮想化環境を使用しています。お客様が一部のホストをHPESimpliVityクラスターに置き換えるのを支援しています。
これは、新しいクラスターを追加および管理するための正しいガイドラインですか？
展開マネージャーとMicrosoftSystem Center仮想マシンマネージャー（SCVMM）を使用して、ノードを一度に1つずつSCVMMに追加します。
A. はい
B. いいえ
Answer: A
NEW QUESTION: 2
Which two statements describe effects of enabling a Cisco UCS Fabric Interconnect in Ethernet end-host mode? (Choose two.)
A. MAC address learning is disabled on all of the ports in Ethernet end-host mode.
B. MAC address learning is enabled on the server ports of the fabric interconnect.
C. By default, unicast traffic received by the fabric uplink port to unknown destination MAC addresses is forwarded to all of the server ports.
D. Server-to-server communication on the same VLAN is not performed locally via fabric interconnect, but requires an external switch.
E. MAC address learning is disabled on the uplink ports of the fabric interconnect.
Answer: B,E
Explanation:
https://www.cisco.com/c/en/us/solutions/collateral/data-center-virtualization/unified- computing/whitepaper_c11-
701962.html
MAC address learning occurs only on the server ports; MAC address movement is fully supported.
Server-to-server Layer 2 traffic is locally switched.
In end-host mode, unknown unicast broadcasts are not flooded, switch mode is required.
Additionally, because there is no MAC address learning on the uplink ports, the MAC address table can scale to support as many virtual machines as the number of entries available in the MAC address forwarding table.
NEW QUESTION: 3
Use the following login credentials as needed:
Azure Username: xxxxx
Azure Password: xxxxx
The following information is for technical support purposes only:
Lab Instance: 10277521
You plan to generate large amounts of real-time data that will be copied to Azure Blob storage.
You plan to create reports that will read the data from an Azure Cosmos DB database.
You need to create an Azure Stream Analytics job that will input the data from a blob storage named storage10277521 to the Cosmos DB database.
To complete this task, sign in to the Azure portal.
Answer:
Explanation:
See the explanation below.
Explanation
Step 1: Create a Stream Analytics job
1. Sign in to the Azure portal.
2. Select Create a resource in the upper left-hand corner of the Azure portal.
3. Select Analytics > Stream Analytics job from the results list.
4. Fill out the Stream Analytics job page.
5. Check the Pin to dashboard box to place your job on your dashboard and then select Create.
6. You should see a Deployment in progress... notification displayed in the top right of your browser window.
Step 2: Configure job input
1. Navigate to your Stream Analytics job.
2. Select Inputs > Add Stream input > Azure Blob storage
3. In the Azure Blob storage setting choose: storage10277521. Leave other options to default values and select Save to save the settings.
Reference:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-quick-create-portal
NEW QUESTION: 4
低レイテンシネットワークで接続されたAWSリージョン内の複数の隔離された場所は何と呼ばれますか？
A. アベイラビリティーゾーン
B. エッジの場所
C. AWSダイレクトコネクト
D. Amazon VPC
Answer: A
Explanation:
Each Region is completely independent. Each Availability Zone is isolated, but the Availability Zones in a Region are connected through low-latency links. A Local Zone is an AWS infrastructure deployment that places select services closer to your end users. A Local Zone is an extension of a Region that is in a different location from your Region. It provides a high-bandwidth backbone to the AWS infrastructure and is ideal for latency-sensitive applications, for example machine learning.