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NEW QUESTION: 1
Which of the following is not part of the TOGAF Data Architecture?
A. detailed data design
B. data models relevant to the organization's industry "vertical" sector
C. data entities relevant to the enterprise
D. generic data models
E. gap analysis of current and planned data resources
Answer: A

NEW QUESTION: 2
ネットワーク管理者は、クライアントに静的IPアドレスがある場合、スイッチのIPデバイストラッキングテーブルが更新されていないことを発見しましたが、アドレスがDHCPからのものである場合、テーブルは更新されます。この問題の原因の説明はどれですか？
A. IPデバイストラッキングが正しく構成されていません
B. スイッチコードをアップグレードする必要があります。
C. ARPインスペクションはオンであり、静的クライアント用のARP ACLはありません
D. IPデバイスの追跡は、静的に割り当てられたIPアドレスでは機能しません
Answer: C
Explanation:
DAIが有効になっていない場合、IPデバイストラッキングは、デフォルトでアクティブ化されるプローブを使用するため、データベースを更新できます。
DAIが有効になっている場合（もちろんDHCPスヌーピングを使用している場合）、DHCPスヌーピングDBは読み込まれず、DAIはそのポートからのARP要求を拒否し、IPデバイストラッキングDBがIP-MACバインディングを取得できないようにします。 ARP ACLを作成してDAIに適用すると、この問題が解決され、IPデバイストラッキングテーブルにも入力されます。

NEW QUESTION: 3
You have a hybrid deployment of Microsoft 365 that contains the users shown in the following table.

You plan to use Microsoft 365 Attack Simulator.
You need to identify the users against which you can use Attack Simulator.
Which users should you identify?
A. User3 only
B. User1 and User3 only
C. User1, User2, User3, and User4
D. User3 and User4 only
Answer: D
Explanation:
Explanation
Each targeted recipient must have an Exchange Online mailbox.
Reference:
https://docs.microsoft.com/en-us/microsoft-365/security/office-365-security/attack-simulator?view=o365-worldw

NEW QUESTION: 4
You design an AI solution that uses an Azure Stream Analytics job to process data from an Azure IoT hub.
The IoT hub receives time series data from thousands of IoT devices at a factory.
The job outputs millions of messages per second. Different applications consume the messages as they are available. The messages must be purged.
You need to choose an output type for the job.
What is the best output type to achieve the goal? More than one answer choice may achieve the goal.
A. Azure Blob storage
B. Azure SQL Database
C. Azure Event Hubs
D. Azure Cosmos DB
Answer: D
Explanation:
Explanation
Stream Analytics can target Azure Cosmos DB for JSON output, enabling data archiving and low-latency queries on unstructured JSON data.
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-documentdb-output