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NEW QUESTION: 1
Your company has an on-premises Active Directory Domain Services (AD DS) domain and an established Azure Active Directory (Azure AD) environment Your company would like users to be automatically signed in when they are on their corporate desktops that are connected to the corporate network.
You need to enable single sign-on (SSO) for company users.
Solution: Install and configure an Azure AD Connect server to use pass-through authentication and select the
'Enable single sign-on" option.
Does the solution meet the goal?
A. No
B. Yes
Answer: B

NEW QUESTION: 2
クラウド環境で最も一般的に使用されるAPIは次のうちどれですか。
A. RESTおよびXML
B. XMLおよびSAML
C. RESTとSAML
D. SOAPおよびREST
Answer: D
Explanation:
説明
シンプルオブジェクトアクセスプロトコル（SOAP）と表現状態転送（REST）は、クラウド環境で最も一般的に使用されるAPIです。 Extensible Markup Language（XML）とSecurity Assertion Markup Language（SAML）はどちらも、2つのパーティ間でエンコードされたデータを交換するための標準です。XMLはより一般的な用途であり、SAMLは認証と承認のデータに焦点を当てています。

NEW QUESTION: 3
You need to install and configure the Unified Service Desk (USD) client What should you do?
A. Enable the USD client from System Settings.
B. You must manually install the client.
C. Import the USD client as a solution.
D. Deploy the USD client from the Microsoft Dynamics 365 server.
Answer: C

NEW QUESTION: 4
Azure Machine Learning Studioで分類タスクを実行しています。
提供されたデータセットに基づいて、バランスの取れたテストおよびトレーニングサンプルを準備する必要があります。
0.75：0.25の比率でデータを分割する必要があります。
各パラメーターにどの値を使用する必要がありますか？ 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

Box 1: Split rows
Use the Split Rows option if you just want to divide the data into two parts. You can specify the percentage of data to put in each split, but by default, the data is divided 50-50.
You can also randomize the selection of rows in each group, and use stratified sampling. In stratified sampling, you must select a single column of data for which you want values to be apportioned equally among the two result datasets.
Box 2: 0.75
If you specify a number as a percentage, or if you use a string that contains the "%" character, the value is interpreted as a percentage. All percentage values must be within the range (0, 100), not including the values 0 and 100.
Box 3: Yes
To ensure splits are balanced.
Box 4: No
If you use the option for a stratified split, the output datasets can be further divided by subgroups, by selecting a strata column.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/split-data