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NEW QUESTION: 1
Contoso, Ltd., has an Office 365 tenant. You configure Office 365 to use the domain contoso.com, and you verify the domain. You deploy and configure Active Directory Federation Services (AD FS) and Active Directory Synchronization
Services (AAD Sync) with password synchronization. You connect to Azure Active Directory by using a Remote
PowerShell session.
You need to switch from using password-synced passwords to using AD FS on the Office 365 verified domain.
Which Windows PowerShell command should you run?
A. Set-MsolDomainAuthentication -DomainName contoso.com
B. Convert-MsolDomainToFederated -DomainName contoso.com
C. Convert-MsolFederatedUser
D. Convert-MsolDomainToStandard -DomainName contoso.com
Answer: B
Explanation:
The Convert-MSOLDomainToFederated cmdlet converts the specified domain from standard authentication to single sign-on (also known as identity federation), including configuring the relying party trust settings between the Active
Directory Federation Services (AD FS) server and the Microsoft Online Services. As part of converting a domain from standard authentication to single sign-on, each user must also be converted. This conversion happens automatically the next time a user signs in; no action is required by the administrator.
Incorrect:
Not B: This is the opposite to what is required. The Convert-MsolDomainToStandard cmdlet converts the specified domain from single sign-on (also known as identity federation) to standard authentication. This process also removes the relying party trust settings in the AD FS server and online service. After the conversion, this cmdlet will convert all existing users from single sign-on to standard authentication.
Not C: The Convert-MsolFederatedUser cmdlet is used to update a user in a domain that was recently converted from single sign-on (also known as identity federation) to standard authentication type. A new password must be provided for the user.
Not D: The Set-MsolDomainAuthentication cmdlet is used to change the domain authentication between standard identity and single-sign on. This cmdlet will only update the settings in Microsoft Online Services; typically the
Convert-MsolDomainToStandard or Convert-MsolDomainToFederated should be used instead.
Reference: Convert-MsolDomainToFederated https://msdn.microsoft.com/en-us/library/azure/dn194092.aspx

NEW QUESTION: 2
Microsoft Exchange Server2019組織があります。
Microsoft365へのハイブリッド接続を実装します。
ユーザーがデバイスでMicrosoftOutlookモバイルアプリを使用してオンプレミスメールボックスにアクセスできることを確認する必要があります。
あなたは何をするべきか？
A. Enable Hybrid Modern Authentication (HMA).
B. Run Set-CASMailbox -OutlookMobileEnabled for each user.
C. Run Azure AD Connect.
D. Configure Active Directory Federation Services (AD FS).
Answer: A
Explanation:
Reference:
https://techcommunity.microsoft.com/t5/exchange-team-blog/announcing-hybrid-modern-authentication-forexchange-on-premises/ba-p/607476

NEW QUESTION: 3
DRAG DROP




Answer:
Explanation:

Explanation:

Box 1: SELECT CustomerID FROM Sales.Invoices
Box 2: INNER JOIN Sales.Customers.CustomerID = Sales.Invoices.CustomerID
Box 3: WHERE CustomerName LIKE '%tim%'
Box 4: WHERE ConfirmedReceiveBy IN (SELECT CustomerName FROM
Sales.Customers)

NEW QUESTION: 4
You collect data from a nearby weather station. You have a pandas dataframe named weather_df that includes the following data:

The data is collected every 12 hours: noon and midnight.
You plan to use automated machine learning to create a time-series model that predicts temperature over the next seven days. For the initial round of training, you want to train a maximum of 50 different models.
You must use the Azure Machine Learning SDK to run an automated machine learning experiment to train these models.
You need to configure the automated machine learning run.
How should you complete the AutoMLConfig definition? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation


Box 1: forcasting
Task: The type of task to run. Values can be 'classification', 'regression', or 'forecasting' depending on the type of automated ML problem to solve.
Box 2: temperature
The training data to be used within the experiment. It should contain both training features and a label column (optionally a sample weights column).
Box 3: observation_time
time_column_name: The name of the time column. This parameter is required when forecasting to specify the datetime column in the input data used for building the time series and inferring its frequency. This setting is being deprecated. Please use forecasting_parameters instead.
Box 4: 7
"predicts temperature over the next seven days"
max_horizon: The desired maximum forecast horizon in units of time-series frequency. The default value is 1.
Units are based on the time interval of your training data, e.g., monthly, weekly that the forecaster should predict out. When task type is forecasting, this parameter is required.
Box 5: 50
"For the initial round of training, you want to train a maximum of 50 different models." Iterations: The total number of different algorithm and parameter combinations to test during an automated ML experiment.
Reference:
https://docs.microsoft.com/en-us/python/api/azureml-train-automl-client/azureml.train.automl.automlconfig.auto