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NEW QUESTION: 1
LAN上のHSRPルーターで考えられる3つのルーター状態は何ですか? (3つ選択)
A. バックアップ
B. 初期化
C. アイドル
D. アクティブ
E. スタンバイ
F. 確立済み
Answer: B,D,E
Explanation:
First we should review all the HSRP States:

Now let's take an example of a router passing through these states. Suppose there are 2 routers A and B in the network; router A is turned on first. It enters the initial state. Then it moves to listen state in which it tries to hear if there are already active or standby routers for this group. After learning no one take the active or standby state, it determines to take part in the election by moving to speak state. Now it starts sending hello messages containing its priority.
These messages are sent to the multicast address 224.0.0.2 (which can be heard by all members in that group). When it does not hear a hello message with a higher priority it assumes the role of active router and moves to active state. In this state, it continues sending out periodic hello messages.
Now router B is turned on. It also goes through initial and listen state. In listen state, it learns that router A has been already the active router and no other router is taking standby role so it enters speak state to compete for the standby router -> it promotes itself as standby router.
Now to our main question! We want router B to become active router so we set a higher priority number than the priority of A and ask router B to take over the role of active router (with the preempt command). Now router A will fall back to the speak state to compete for active or standby state -> it becomes standby router because its priority is now lower than that of router A.
(Therefore answer B is correct).
Note: Suppose router A is in active state while router B is in standby state. If router B does not hear hello messages from router A within the holdtime, router B goes into speak state to announce its priority to all HSRP members and compete for the active state. But if at some time it receives a message from the active router that has a lower priority than its priority (because the administrator change the priority in either router), it can take over the active role by sending out a hello packet with parameters indicating it wants to take over the active router. This is called a coup hello message.
Reference:
http://www.cisco.com/en/US/tech/tk648/tk362/technologies_tech_note09186a0080094a91.shtml

NEW QUESTION: 2
(single) Which one of the following descriptions of MUX vlan features is correct?
A. Layer 2 interworking between different MUX VLANs
The D.MUX VLAN is mainly used for cell access.
B. There are two types of ports: uplink port and service virtual port.
C. A MUX VLAN can contain multiple uplink ports and multiple service virtual ports.
Answer: B

NEW QUESTION: 3
What is the BEST backup strategy for a large database with data supporting online sales?
A. Weekly full backup with daily incremental backup
B. Clustered servers
C. Daily full backup
D. Mirrored hard disks
Answer: A
Explanation:
Explanation/Reference:
Explanation:
Weekly full backup and daily incremental backup is the best backup strategy; it ensures the ability to recover the database and yet reduces the daily backup time requirements. A full backup normally requires a couple of hours, and therefore it can be impractical to conduct a full backup every day. Clustered servers provide a redundant processing capability, but are not a backup. Mirrored hard disks will not help in case of disaster.

NEW QUESTION: 4
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?view=azurermps-4.4.1