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NEW QUESTION: 1
Your company has several websites that use a company logo image. You use Azure Content Delivery Network (CDN) to store the static image.
You need to determine the correct process of how the CDN and the Point of Presence (POP) server will distribute the image and list the items in the correct order.
In which order do the actions occur? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.

Answer:
Explanation:
Explanation

Step 1: A user requests the image..
A user requests a file (also called an asset) by using a URL with a special domain name, such as <endpoint name>.azureedge.net. This name can be an endpoint hostname or a custom domain. The DNS routes the request to the best performing POP location, which is usually the POP that is geographically closest to the user.
Step 2: If no edge servers in the POP have the..
If no edge servers in the POP have the file in their cache, the POP requests the file from the origin server. The origin server can be an Azure Web App, Azure Cloud Service, Azure Storage account, or any publicly accessible web server.
Step 3: The origin server returns the..
The origin server returns the file to an edge server in the POP.
An edge server in the POP caches the file and returns the file to the original requestor (Alice). The file remains cached on the edge server in the POP until the time-to-live (TTL) specified by its HTTP headers expires. If the origin server didn't specify a TTL, the default TTL is seven days.
Step 4: Subsequent requests for..
Additional users can then request the same file by using the same URL that the original user used, and can also be directed to the same POP.
If the TTL for the file hasn't expired, the POP edge server returns the file directly from the cache. This process results in a faster, more responsive user experience.
References:
https://docs.microsoft.com/en-us/azure/cdn/cdn-overview

NEW QUESTION: 2
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You create a table by running the following Transact-SQL statement:

You need to develop a query that meets the following requirements:
Output data by using a tree-like structure.
Allow mixed content types.
Use custom metadata attributes.
Which Transact-SQL statement should you run?


A. Option E
B. Option B
C. Option H
D. Option G
E. Option A
F. Option D
G. Option F
H. Option C
Answer: G

NEW QUESTION: 3
Your network contains a file server named Server1 that runs Windows Server 2008 R2. On Server1, you
create a disk quota for volume E that limits storage to 200 MB for all users.
You need to ensure that a user named User1 can store files that are larger than 200 MB on volume.
What would you do?
A. From Windows Explorer, modify the Security properties of the volume.
B. From Disk Management, create a new quota entry.
C. From a command prompt, run dirquota.exe.
D. From File Server Resource Manager, create a file screen exception.
Answer: C
Explanation:
To do this, we simply need to update the quota assigned to User1. We can issue the following command to modify quotas:
dirquota quota modify
Reference: http://technet.microsoft.com/en-us/library/cc742171%28v=ws.10%29.aspx
We would not create a new quota entry, as quotas are per-user and the user already has an assigned quota at the volume level.
The Security properties in Windows Explorer will let us control who can access the volume, but is not where quotas are configured or managed.
We do not need a file screen exception, as we are not told an exception is even in place. Rather, a quota limit has been put in place.

NEW QUESTION: 4
オンプレミスネットワークには、500GBのデータを格納するServer1という名前のファイルサーバーが含まれています。
Server1からAzureStorageにデータをコピーするには、Azure DataFactoryを使用する必要があります。
新しいデータファクトリを追加します。
次に何をすべきですか？回答するには、回答領域で適切なオプションを選択します。
注：正しい選択はそれぞれ1ポイントの価値があります。

Answer:
Explanation:

Explanation:
Box 1: Install a self-hosted integration runtime
The Integration Runtime is a customer-managed data integration infrastructure used by Azure Data Factory to provide data integration capabilities across different network environments.
Box 2: Create a pipeline
With ADF, existing data processing services can be composed into data pipelines that are highly available and managed in the cloud. These data pipelines can be scheduled to ingest, prepare, transform, analyze, and publish data, and ADF manages and orchestrates the complex data and processing dependencies References:
https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/move-sql-azure-adf