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NEW QUESTION: 1
Contoso, Ltd. has an on-premises SharePoint environment. The company plans to deploy SharePoint Online.
You must use Active Directory Federation Services (AD FS). The global administrator account must be able to access the Office 365 tenant even if AD FS is unavailable.
You need to set up the global administrator account.
What should you do?
A. In the Office 365 admin center, create a user named [email protected]
B. In Active Directory Domain Services Users and Computers, create a user named [email protected]
C. In the Office 365 admin center, create a user named [email protected]
D. In Active Directory Domain Services Users and Computers, create a user named [email protected]
Answer: C
Explanation:
Explanation
One of the first steps is to create SPO administrative account. You should always plan to create this account as Cloud ID, E.g. [email protected]. Having this as Cloud ID, it allows you to access your tenant even if On-Premises ADFS environment is unavailable. You can provision new Cloud Account from the Office 365 Administration site.
References:
https://nikpatel.net/2014/06/03/best-practices-for-configuring-sharepoint-online-tenant-part-ii-configuring-sharep
NEW QUESTION: 2
A company is concerned with high space usage on ils storage devices, especially during certain periods of time when the same or similar information is being sent or received.
Which solution will address this concern?
A. encryption
B. data compression
C. deduplication
D. thin provisioning
Answer: B
NEW QUESTION: 3
群衆感情モデルの評価戦略を定義する必要があります。
順番に実行する必要がある3つのアクションはどれですか？回答するには、適切なアクションをアクションのリストから回答エリアに移動し、正しい順序に並べます。
Answer:
Explanation:
Explanation
Step 1: Define a cross-entropy function activation
When using a neural network to perform classification and prediction, it is usually better to use cross-entropy error than classification error, and somewhat better to use cross-entropy error than mean squared error to evaluate the quality of the neural network.
Step 2: Add cost functions for each target state.
Step 3: Evaluated the distance error metric.
References:
https://www.analyticsvidhya.com/blog/2018/04/fundamentals-deep-learning-regularization-techniques/