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NEW QUESTION: 1
A company has a two-node Microsoft Hyper-V failover cluster that runs Windows Server 2008 R2. the failover cluster has two logical unit numbers (LUNs). One of the LUNs contains virtual machines (VMs) and is using 90% of the LUN capacity. The other LUN is not using any capacity.
You create a snapshot of a running VM before you upgrade an application. You delete the snapshot in Hyper-V after you establish that there are no issues with the application upgrade. you reboot the VM. After a period of time, the VM stops responding.
You need to ensure that the VM is fully operational.
Which three actions should you perform in sequence? (To answer, move the appropriate actions from the list of answer choices to the answer area and arrange them in the correct order.)
Select and Place:

Answer:
Explanation:

Explanation/Reference:
Answer changed 13/06/2012 FROM
-Off
-Migrate the VM to the free storage (LUN)
-Power On after merger completes TO
-Power off
-Power On after merge completes
-Live migration to the free storage (LUN)

NEW QUESTION: 2
Click the Exhibit button.

On your MX Series router, traffic using the critical scheduler is out of profile. All other data is currently in profile. Referring to the exhibit, which statement is correct?
A. The critical queue is serviced before the voice queue.
B. The critical queue is serviced after the left-over queue.
C. The critical queue is serviced before the data queue.
D. The critical queue is serviced before the less-critical queue.
Answer: B

NEW QUESTION: 3
緊急道路対応車両が自動的に発送されるようにする必要があります。
処理システムをどのように設計する必要がありますか？回答するには、回答エリアで適切なオプションを選択します。
注：それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:

Explanation

Box1: API App

* Events generated from the IoT data sources are sent to the stream ingestion layer through Azure HDInsight Kafka as a stream of messages. HDInsight Kafka stores streams of data in topics for a configurable of time.
* Kafka consumer, Azure Databricks, picks up the message in real time from the Kafka topic, to process the data based on the business logic and can then send to Serving layer for storage.
* Downstream storage services, like Azure Cosmos DB, Azure SQL Data warehouse, or Azure SQL DB, will then be a data source for presentation and action layer.
* Business analysts can use Microsoft Power BI to analyze warehoused data. Other applications can be built upon the serving layer as well. For example, we can expose APIs based on the service layer data for third party uses.
Box 2: Cosmos DB Change Feed
Change feed support in Azure Cosmos DB works by listening to an Azure Cosmos DB container for any changes. It then outputs the sorted list of documents that were changed in the order in which they were modified.
The change feed in Azure Cosmos DB enables you to build efficient and scalable solutions for each of these patterns, as shown in the following image:

References:
https://docs.microsoft.com/bs-cyrl-ba/azure/architecture/example-scenario/data/realtime-analytics-vehicle-iot?vie

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