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NEW QUESTION: 1
You have a file server that has the File Server Resource Manager role service installed.
You open the File Server Resource Manager console as shown in the exhibit. (Click the Exhibit button.)

You need to ensure that all of the folders in Folder1 have a 100-MB quota limit.
What should you do?
A. Run the Update-FsrmAutoQuotacmdlet.
B. Modify the quota properties of Folder1.
C. Create a new quota for Folder1.
D. Run the Update FsrmQuotacmdlet.
Answer: C
Explanation:
Explanation/Reference:
Explanation:
By using auto apply quotas, you can assign a quota template to a parent volume or folder. Then File Server Resource Manager automatically generates quotas that are based on that template. Quotas are generated for each of the existing subfolders and for subfolders that you create in the future.

Reference: http://technet.microsoft.com/en-us/library/cc731577.aspx

NEW QUESTION: 2
According to TOGAF, when creating views for a particular architecture, What is the recommended first step?
A. Develop views for the target architecture first
B. Design a viewpoint to address all stakeholder concerns
C. Ensure completeness of the architecture
D. Refer to existing libraries of viewpoints, to identify one for re-use
Answer: D

NEW QUESTION: 3
A company has a real-time data analysis solution that is hosted on Microsoft Azure. The solution uses Azure Event Hub to ingest data and an Azure Stream Analytics cloud job to analyze the data. The cloud job is configured to use 120 Streaming Units (SU).
You need to optimize performance for the Azure Stream Analytics job.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Implement query parallelization by partitioning the data output
B. Implement event ordering
C. Scale the SU count for the job down
D. Implement query parallelization by partitioning the data output
E. Implement Azure Stream Analytics user-defined functions (UDF)
F. Scale the SU count for the job up
Answer: D,F
Explanation:
Scale out the query by allowing the system to process each input partition separately.
F: A Stream Analytics job definition includes inputs, a query, and output. Inputs are where the job reads the data stream from.
Reference:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-parallelization