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NEW QUESTION: 1

A. Option B
B. Option E
C. Option C
D. Option A
E. Option D
Answer: A,B,C

NEW QUESTION: 2
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a Microsoft 365 subscription.
From the Security & Compliance admin center, you create a role group named US eDiscovery Managers by copying the eDiscovery Manager role group.
You need to ensure that the users in the new role group can only perform content searches of mailbox content for users in the United States.
Solution: From Windows PowerShell, you run the New-AzureRmRoleAssignment cmdlet with the appropriate parameters.
Does this meet the goal?
A. Yes
B. No
Answer: B
Explanation:
References:
https://docs.microsoft.com/en-us/powershell/module/azurerm.resources/new-azurermroleassignment?view=azurermps-6.13.0

NEW QUESTION: 3
ドメインからDNS応答を受信すると、BTFは何をしますか？
A. DNS応答をドロップします
B. BTFデータベースに対してドメインをチェックします
C. BTFサーバーを照会します
D. 独自のDNSサーバーを使用してDNS応答を検証します
Answer: B

NEW QUESTION: 4
_____________は、Tableauがローカルに保存するデータのスナップショットです。必要なフィールドが少ない非常に大きなデータセットに適しています。
A. Tableauパッケージワークブック（.twbx）
B. Tableauワークブック（.twb）
C. Tableauデータソース（.tds）
D. Tableauデータ抽出（.tde）
Answer: D
Explanation:
Explanation
Tableau Data Extract (TDE) is a snapshot of the data that Tableau stores locally. Good for very large datasets of which we only need few fields. Performance is optimised because it queries its own database engine instead of the local data source.
When you create an extract of your data, you can reduce the total amount of data by using filters and configuring other limits. After you create an extract, you can refresh it with data from the original data. When refreshing the data, you have the option to either do a full refresh, which replaces all of the contents in the extract, or you can do an incremental refresh, which only adds rows that are new since the previous refresh.
Extracts are advantageous for several reasons:
1) Supports large data sets: You can create extracts that contain billions of rows of data.
2) Fast to create: If you're working with large data sets, creating and working with extracts can be faster than working with the original data.
3) Help improve performance: When you interact with views that use extract data sources, you generally experience better performance than when interacting with views based on connections to the original data.
4) Support additional functionality: Extracts allow you to take advantage of Tableau functionality that's not available or supported by the original data, such as the ability to compute Count Distinct.
5) Provide offline access to your data: Extracts allow you to save and work with the data locally when the original data is not available. For example, when you are traveling.