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NEW QUESTION: 1
Answer:
Explanation:
Explanation
First action: Create a Storage Sync Service
The deployment of Azure File Sync starts with placing a Storage Sync Service resource into a resource group of your selected subscription.
Second action: Run Server Registration
Registering your Windows Server with a Storage Sync Service establishes a trust relationship between your server (or cluster) and the Storage Sync Service. A server can only be registered to one Storage Sync Service and can sync with other servers and Azure file shares associated with the same Storage Sync Service.
The Server Registration UI should open automatically after installation of the Azure File Sync agent.
NEW QUESTION: 2
DRAG DROP
Answer:
Explanation:
Box 1: We will need the Active Directory Certificate Services role to import the key, and later restore the certificate services database.
Box 2: Import the private key with the help of the AD CS Configuration Wizard.
The private key will be needed in the next step when you restore the certificate services registry settings and the certificate services database.
Box 3: Restore the certificate services registry settings and the certificate services database- Reference: Step-By-Step: Migrating The Active Directory Certificate Service From Windows Server 2003 to 2012 R2
http://blogs.technet.com/b/canitpro/archive/2014/11/12/step-by-step-migrating-the-active-directory- certificate-service-from-windows-server-2003-to-2012-r2.aspx
NEW QUESTION: 3
You are planning a design pattern based on the Lambda architecture as shown in the exhibit.
Which Azure service should you use for the hot path?
A. Azure Databricks
B. Azure SQL Database
C. Azure Database for PostgreSQL
D. Azure Data Factory
Answer: A
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