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NEW QUESTION: 1
You are developing a solution for a hospital to support the following use cases:
*The most recent patient status details must be retrieved even if multiple users in different locations have updated the patient record.
*Patient health monitoring data retrieved must be the current version or the prior version.
*After a patient is discharged and all charges have been assessed, the patient billing record contains the final charges.
You provision a Cosmos DB NoSQL database and set the default consistency level for the database account to Strong. You set the value for Indexing Mode to Consistent.
You need to minimize latency and any impact to the availability of the solution. You must override the default consistency level at the query level to meet the required consistency guarantees for the scenarios.
Which consistency levels should you implement? To answer, drag the appropriate consistency levels to the correct requirements. Each consistency level may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Strong
Strong: Strong consistency offers a linearizability guarantee. The reads are guaranteed to return the most recent committed version of an item. A client never sees an uncommitted or partial write. Users are always guaranteed to read the latest committed write.
Box 2: Bounded staleness
Bounded staleness: The reads are guaranteed to honor the consistent-prefix guarantee. The reads might lag behind writes by at most "K" versions (that is "updates") of an item or by "t" time interval. When you choose bounded staleness, the "staleness" can be configured in two ways:
The number of versions (K) of the item
The time interval (t) by which the reads might lag behind the writes
Box 3: Eventual
Eventual: There's no ordering guarantee for reads. In the absence of any further writes, the replicas eventually converge.

NEW QUESTION: 2
Which statistic classes can be used to define a threshold policy for a compute resource?
(Choose two)
A. Ethernet port stats
B. Processor runtime
C. Processor lock ups
D. Ethernet port CRC stats
E. Memory failures
Answer: C,E
Explanation:
Explanation: https://www.cisco.com/c/dam/en/us/products/collateral/servers-unified- computing/ucsma nager/whitepaper-c11-736116.pdf

NEW QUESTION: 3
次の表のリソースを含むAzureサブスクリプションがあります。

Store1には、Dataという名前のファイル共有が含まれています。データには5,000個のファイルが含まれます。
DataのファイルをServer1というオンプレミスサーバーに同期する必要があります。
どの3つのアクションを実行する必要がありますか？それぞれの正解はソリューションの一部を示しています。
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。
A. コンテナインスタンスを作成します。
B. 同期グループを作成します。
C. 自動化スクリプトをダウンロードします。
D. Server1を登録します。
E. Server1にAzure File Syncエージェントをインストールします。
Answer: B,D,E
Explanation:
Step 1 (E): Install the Azure File Sync agent on Server1
The Azure File Sync agent is a downloadable package that enables Windows Server to be synced with an Azure file share Step 2 (D): Register Server1.
Register Windows Server with Storage Sync Service
Registering your Windows Server with a Storage Sync Service establishes a trust relationship between your server (or cluster) and the Storage Sync Service.
Step 3 (C): Create a sync group and a cloud endpoint.
A sync group defines the sync topology for a set of files. Endpoints within a sync group are kept in sync with each other. A sync group must contain one cloud endpoint, which represents an Azure file share and one or more server endpoints. A server endpoint represents a path on registered server.
References: https://docs.microsoft.com/en-us/azure/storage/files/storage-sync-files-deployment-guide