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NEW QUESTION: 1
会社はMicrosoft 365に移行する予定です。
Microsoftがマルチテナンシー環境でどのように保護を提供するかについて、会社に助言する必要があります。
マイクロソフトが保護を提供する3つの方法は何ですか？それぞれの正解はソリューションの一部を示しています。
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。
A. Microsoft Exchange Onlineのメールボックスデータベースには、複数のテナントからのメールボックスが含まれています。
B. 保管中の顧客コンテンツは、トランスポート層セキュリティ（TLS）を使用してサーバー上で暗号化されます。
C. Microsoft Azure ADは、トランスポートレイヤーでの承認とロールベースのアクセス制御を提供します。
D. 保管中の顧客コンテンツは、BitLockerを使用してサーバー上で暗号化されます。
E. Microsoft Azure ADは、テナントレイヤーで承認とロールベースのアクセス制御を提供します。
F. Microsoft Exchange Onlineのメールボックスデータベースには、単一のテナントからのメールボックスのみが含まれます。
Answer: A,D,E
Explanation:
Explanation
A:
https://docs.microsoft.com/en-us/microsoft-365/compliance/office-365-encryption-in-the-microsoft-cloud-o B:
https://docs.microsoft.com/en-us/microsoft-365/enterprise/microsoft-365-tenant-isolation-overview?view=o F:
https://docs.microsoft.com/en-us/microsoft-365/enterprise/microsoft-365-isolation-in-microsoft-365?view=

NEW QUESTION: 2
Analyze the two tables (Albums and Photos) provided from the Facebook database on an Android device located at the path: /data/data/com.facebook.katana/databases/fb.db.

Which photo was added to Facebook by the user of the device?
A. 106716779501997_1073741827
B. 100005241790123_1073741832
C. 100003042564055_1073741835
D. 100006274086300_1073741835
Answer: D
Explanation:
Explanation
Examination of the first table shows user activity related to Cover photos. Mobile uploads and Profile pictures leading to the conclusion that user 100006274086300, is the owner of the device. In the second table, examine the picture's IDs resident in the database. Only one photo shares the Facebook ID that matches the ID of the assumed device owner.

NEW QUESTION: 3
During an audit, an IS auditor notes that an organization's business continuity plan (BCP) does not adequately address information confidentiality during a recovery process. The IS auditor should recommend that the plan be modified to include:
A. information security resource requirements.
B. change management procedures for information security that could affect business continuity arrangements.
C. the level of information security required when business recovery procedures are invoked.
D. information security roles and responsibilities in the crisis management structure.
Answer: C
Explanation:
Business should consider whether information security levels required during recovery should be the same, lower or higher than when business is operating normally. In particular, any special rules for access to confidential data during a crisis needto be identified. The other choices do not directly address the information confidentiality issue.

NEW QUESTION: 4
Azure Machine Learningデザイナーを使用して実験を構築しています。
データセットをトレーニングセットとテストセットに分割します。 Two-Class Boosted Decision Treeをアルゴリズムとして選択します。
モデルの曲線下面積（AUC）を決定する必要があります。
どの3つのモジュールを順番に使用する必要がありますか？回答するには、適切なモジュールをモジュールのリストから回答領域に移動し、正しい順序に並べます。

Answer:
Explanation:

Explanation:
Step 1: Train Model
Two-Class Boosted Decision Tree
First, set up the boosted decision tree model.
1. Find the Two-Class Boosted Decision Tree module in the module palette and drag it onto the canvas.
2. Find the Train Model module, drag it onto the canvas, and then connect the output of the Two-Class Boosted Decision Tree module to the left input port of the Train Model module.
The Two-Class Boosted Decision Tree module initializes the generic model, and Train Model uses training data to train the model.
3. Connect the left output of the left Execute R Script module to the right input port of the Train Model module (in this tutorial you used the data coming from the left side of the Split Data module for training).
This portion of the experiment now looks something like this:

Step 2: Score Model
Score and evaluate the models
You use the testing data that was separated out by the Split Data module to score our trained models. You can then compare the results of the two models to see which generated better results.
Add the Score Model modules
1. Find the Score Model module and drag it onto the canvas.
2. Connect the Train Model module that's connected to the Two-Class Boosted Decision Tree module to the left input port of the Score Model module.
3. Connect the right Execute R Script module (our testing data) to the right input port of the Score Model module.

Step 3: Evaluate Model
To evaluate the two scoring results and compare them, you use an Evaluate Model module.
1. Find the Evaluate Model module and drag it onto the canvas.
2. Connect the output port of the Score Model module associated with the boosted decision tree model to the left input port of the Evaluate Model module.
3. Connect the other Score Model module to the right input port.