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NEW QUESTION: 1
Your company plans to implement a new compliance strategy that will require all Azure web apps to be backed up every five hours.
You need to back up an Azure web app named az400-11566895-main every five hours to an Azure Storage account in your resource group.
To complete this task, sign in to the Microsoft Azure portal.
A. With the storage account ready, you can configure backs up in the web app or App Service.
* Open the App Service az400-11566895-main, which you want to protect, in the Azure Portal and browse to Settings > Backups. Click Configure and a Backup Configuration blade should appear.
* Select the storage account.
* Click + to create a private container. You could name this container after the web app or App Service.
* Select the container.
* If you want to schedule backups, then set Scheduled Backup to On and configure a schedule: every five hours
* Select your retention. Note that 0 means never delete backups.
* Decide if at least one backup should always be retained.
* Choose if any connected databases should be included in the web app backup.
* Click Save to finalize the backup configuration.

B. With the storage account ready, you can configure backs up in the web app or App Service.
* Open the App Service az400-11568895-main, which you want to protect, in the Azure Portal and browse to Settings > Backups. Click Configure and a Backup Configuration blade should appear.
* Select the storage account.
* Click + to create a private container. You could name this container after the web app or App Service.
* Select the container.
* If you want to schedule backups, then set Scheduled Backup to On and configure a schedule: every five hours
* Select your retention. Note that 0 means never delete backups.
* Choose if any connected databases should be included in the web app backup.
* Click Save to finalize the backup configuration.

Answer: A
Explanation:
Reference:
https://petri.com/backing-azure-app-service

NEW QUESTION: 2
You are developing a database reporting solution for a table that contains 900 million rows and is 103 GB.
The table is updated thousands of times a day, but data is not deleted.
The SELECTstatements vary in the number of columns used and the amount of rows retrieved.
You need to reduce the amount of time it takes to retrieve data from the table. The must prevent data
duplication.
Which indexing strategy should you use?
A. a clustered columnstore index for the table
B. a clustered index for the table and nonclustered indexes for nonkey columns
C. a nonclustered index for each column in the table
D. a hash index for the table
Answer: A
Explanation:
Explanation/Reference:
Explanation:
Columnstore indexes are the standard for storing and querying large data warehousing fact tables. It uses
column-based data storage and query processing to achieve up to 10x query performance gains in your
data warehouse over traditional row-oriented storage.
A clustered columnstore index is the physical storage for the entire table.
Generally, you should define the clustered index key with as few columns as possible.
A nonclustered index contains the index key values and row locators that point to the storage location of
the table data. You can create multiple nonclustered indexes on a table or indexed view. Generally,
nonclustered indexes should be designed to improve the performance of frequently used queries that are
not covered by the clustered index.
References: https://docs.microsoft.com/en-us/sql/relational-databases/indexes/columnstore-indexes-
overview?view=sql-server-2017

NEW QUESTION: 3
Azure Cosmos DBを使用する新しいアプリケーションを設計しています。 アプリケーションは、ログレコードやソーシャルメディアの言及など、さまざまなデータパターンをサポートします。
各Cosmos DB APIを各データパターンに使用することを推奨する必要があります。 ソリューションは、リソース使用率を最小限に抑える必要があります。
各データパターンに推奨するAPIはどれですか? 回答するには、回答エリアで適切なオプションを選択します。
注:それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:

Explanation

Log records: SQL
Social media mentions: Gremlin
You can store the actual graph of followers using Azure Cosmos DB Gremlin API to create vertexes for each user and edges that maintain the "A-follows-B" relationships. With the Gremlin API, you can get the followers of a certain user and create more complex queries to suggest people in common. If you add to the graph the Content Categories that people like or enjoy, you can start weaving experiences that include smart content discovery, suggesting content that those people you follow like, or finding people that you might have much in common with.
References:
https://docs.microsoft.com/en-us/azure/cosmos-db/social-media-apps

NEW QUESTION: 4
Your SAN team must transmit FC between multiple locations in a data center. To keep the cost of the project to a minimum, your management decides that using FCoE would be the most cost-effective approach.
In this scenario, which architecture will support FCoE losslessly?
A. VXLAN overlay
B. Virtual Chassis Fabric
C. Virtual Chassis
D. Layer 3 Clos
Answer: B

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