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Question ID 13777

You administer an Azure Web Site named contosoweb that is used to sell various products.
Contosoweb experiences heavy traffic during weekends.
You need to analyze the response time of the product catalog page during peak times,
from different locations.
What should you do?

Option A

Configure endpoint monitoring.

Option B

Add the Requests metric.

Option C

Turn on Failed Request Tracing.

Option D

Turn on Detailed Error Messages.

Correct Answer A
Explanation Explanation: Endpoint monitoring configures web tests from geo-distributed locations that test response time and uptime of web URLs. The test performs an HTTP get operation on the web URL to determine the response time and uptime from each location. Each configured location runs a test every five minutes. After you configure endpoint monitoring, you can drill down into the individual endpoints to view details response time and uptime status over the monitoring interval from each of the test location References:


Question ID 13778

You administer an Azure Storage account named contosostorage. The account has queue
containers with logging enabled.
You need to view all log files generated during the month of July 2014.
Which URL should you use to access the list?

Option A

http://contosostorage.queue.core.windows.net/$logs? restype=container&comp=list&prefix=queue/2014/07

Option B

http://contosostorage.queue.core.windows.net/$files? restype=container&comp=list&prefix=queue/2014/07

Option C

http://contosostorage.blob.core.windows.net/$files? restype=container&comp=list&prefix=blob/2014/07

Option D

http://contosostorage.blob.core.windows.net/$logs? restype=container&comp=list&prefix=blob/2014/07

Correct Answer D
Explanation Explanation: All logs are stored in block blobs in a container named $logs, which is automatically created when Storage Analytics is enabled for a storage account. The$logs container is located in the blob namespace of the storage account, for example: http://.blob.core.windows.net/$logs. This container cannot be deleted once Storage Analytics has been enabled, though its contents can be deleted. Note: Each log will be written in the following format: /YYYY/MM/DD/hhmm/.log References: