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NEW QUESTION: 1
참 또는 거짓 : Amazon ElastiCache에서 캐시 보안 그룹을 사용하여 VPC의 일부인 캐시 클러스터를 구성 할 수 있습니다.
A. 참
B. 거짓
C. 콘솔 탐색 창의 캐시 보안 그룹을 사용하여 캐시 클러스터를 구성하는 경우에만 해당됩니다.
D. 사실, 이것은 Amazon VPC 환경에서 실행되는 캐시 클러스터에만 적용됩니다.
Answer: B
Explanation:
Explanation
Amazon ElastiCache cache security groups are only applicable to cache clusters that are not running in an Amazon Virtual Private Cloud environment (VPC). If you are running in an Amazon Virtual Private Cloud, Cache Security Groups is not available in the console navigation pane.
http://docs.aws.amazon.com/AmazonElastiCache/latest/UserGuide/CacheSecurityGroup.html

NEW QUESTION: 2
You have an Exchange Server 2016 organization.
The organization has two Mailbox servers named EX01 and EX02.
Both servers are members of a database availability group (DAG) named DAG01.
A mailbox database named DB01 is replicated to EX01 and EX02.
You plan to move the database file and the transaction logs of DB01 to a new location.
You create a new folder structure on EX01 and EX02 to store the DB01 database file and transaction logs.
You need to complete the move.
The solution must minimize the amount of network traffic between EX01 and EX02.
You dismount DB01.
Which five actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.

Answer:
Explanation:

Explanation

NEW QUESTION: 3
展示に示されているように、Lambdaアーキテクチャに基づいた設計パターンを計画しています。

ホットパスに使用するAzureサービスはどれですか？
A. Azure SQL Database
B. Azure Data Factory
C. Azure Databricks
D. Azure Database for PostgreSQL
Answer: C
Explanation:
Explanation
In Azure, all of the following data stores will meet the core requirements supporting real-time processing:
* Apache Spark in Azure Databricks
* Azure Stream Analytics
* HDInsight with Spark Streaming
* HDInsight with Storm
* Azure Functions
* Azure App Service WebJobs
Note: Lambda architectures use batch-processing, stream-processing, and a serving layer to minimize the latency involved in querying big data.

References:
https://azure.microsoft.com/en-us/blog/lambda-architecture-using-azure-cosmosdb-faster-performance-low-tco-l
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/stream-processing