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NEW QUESTION: 1
What IP protocol number is used in the protocol field of an IPv4 header, when IPv4 is used to tunnel IPv6 packets?
A. 0
B. 1
C. 2
D. 3
E. 4
Answer: A
Explanation:
IPv4 packets whose IP headers have the IP protocol number set to 41. This protocol number is specifically designated for IPv6 encapsulation.
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 an Azure ML experiment that contains an intermediate dataset.
You need to explore data from the intermediate dataset by using Jupyter.
Solution: You add a Convert to CSV module to the Azure ML experiment and then open the module output in a new notebook.
Does this meet the goal?
A. No
B. Yes
Answer: B
Explanation:
Explanation/Reference:
Explanation:
Access intermediate datasets from Machine Learning experiments
The following steps show an example that creates an experiment, runs it and accesses the intermediate dataset.
1. Create a new experiment.
2. Insert an Adult Census Income Binary Classification dataset module.
3. Insert a Split module, and connect its input to the dataset module output.
4. Insert a Convert to CSV module and connect its input to one of the Split module outputs.
5. Save the experiment, run it, and wait for it to finish running.
6. Click the output node on the Convert to CSV module.
7. When the context menu appears, select Generate Data Access Code
8. Select the code snippet and copy it to your clipboard from the window that appears..
9. Paste the code in your notebook.
Note: After an experiment is run in the Machine Learning Studio, it is possible to access the intermediate datasets from the output nodes of modules. Intermediate datasets are data that has been created and used for intermediate steps when a model tool has been run.
Intermediate datasets can be accessed as long as the data format is compatible with the Python client library.
The following formats are supported (constants for these are in the azureml.DataTypeIds class):
PlainText
GenericCSV
GenericTSV
GenericCSVNoHeader
GenericTSVNoHeader
References: https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/python- data-access
NEW QUESTION: 3
Microsoft 365サブスクリプションとcontoso.comという名前のMicrosoft Azure Active Directory（Azure AD）テナントがあります。 Contoso.comには、次の表に示すユーザーが含まれています。
Contoso.comは、次の展示に示すように構成されています。
テナントでゲストユーザーを作成できるようにする必要があります。
どの設定を変更する必要がありますか？
A. ゲスト招待者ロールの管理者とユーザーは招待できます。
B. 指定されたドメインへの招待を拒否します
C. ゲストユーザーの権限は制限されています。
D. メンバーは招待できます。
E. ゲストを招待できます。
Answer: A
Explanation:
Explanation
The setting "Admins and users in the guest inviter role can invite" is set to No. This means that no one can create guest accounts because they cannot 'invite' guests. This setting needs to be changed to Yes to ensure that guest users can be created in the tenant.
Reference:
https://docs.microsoft.com/en-us/azure/active-directory/b2b/delegate-invitations
https://docs.microsoft.com/en-us/azure/active-directory/fundamentals/users-default-permissions
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