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NEW QUESTION: 1
An application that you are managing has EC2 instances & Dynamo OB tables deployed to several AWS Regions in order to monitor the performance of the application globally, you would like to see two graphs:
1) Avg CPU Utilization across all EC2 instances
2) Number of Throttled Requests for all DynamoDB tables.
How can you accomplish this?
A. Add a CloudWatch agent to each instance and attach one to each DynamoDB table. When configuring the agentset the appropriate application name & view the graphs in CloudWatch.
B. Use the Cloud Watch CLI tools to pull the respective metrics from each regional endpoint Aggregate the data offline & store it for graphing in CloudWatch.
C. Add SNMP traps to each instance and DynamoDB table Leverage a central monitoring server to capture data from each instance and table Put the aggregate data into Cloud Watch for graphing.
D. Tag your resources with the application name, and select the tag name as the dimension in the Cloudwatch Management console to view the respective graphs
Answer: C

NEW QUESTION: 2
Dynamics 365 Finance環境を管理します。
新しいMicrosoft Azure SQLデータベースインスタンスを作成します。
特定のDynamics 365エンティティから新しいデータベースインスタンスにデータをコピーする必要があります。
データプロジェクトを作成する前に、次の3つのアクションを順に実行する必要がありますか？回答するには、3つのアクションをアクションのリストから回答領域に移動し、正しい順序に並べます。
+

Answer:
Explanation:

Explanation

NEW QUESTION: 3
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.

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