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NEW QUESTION: 1
You are the Microsoft 365 administrator for a company.
Your company wants lo team more about what happens if the availability the Microsoft Office 365 services are not met.
Where can you find this information?
A. Microsoft Enterprise agreement
B. Microsoft Services agreement
C. Service Level agreement
D. Microsoft Cloud agreement
E. Microsoft Products and Services agreement
Answer: C
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/office365/servicedescriptions/office-365-platform-service-description/service-l

NEW QUESTION: 2
Was ist der Zweck der Datei nsswitch.conf?
A. Dient zum Konfigurieren von Netzwerkprotokoll-Portnummern, z. B. für HTTP oder SMTP.
B. Hiermit wird konfiguriert, wo die C-Bibliothek nach Systeminformationen wie Hostnamen und Benutzerkennwörtern sucht.
C. Hiermit wird konfiguriert, welche Netzwerkdienste beim nächsten Systemstart aktiviert werden.
D. Hiermit werden die LDAP-Authentifizierungsdienste für das lokale System konfiguriert.
Answer: B
Explanation:
Erläuterung
Abschnitt: Netzwerkgrundlagen

NEW QUESTION: 3
NTOには、プロファイルとプリファレンス情報を含むマスター購読解除データ拡張があり、マスター購読解除データ拡張からさまざまなセグメントが作成されます。毎日自動的に更新される各セグメントで、NTOが使用を検討すべき2つのアクティビティはどれですか。
2つの答えを選択してください
A. SQLクエリアクティビティ
B. フィルター活動
C. セグメント活動
D. データ抽出アクティビティ
Answer: A,B

NEW QUESTION: 4


Answer:
Explanation:

Explanation

Box 1: Azure Data Lake Store
Stream Analytics supports Azure Data Lake Store. Azure Data Lake Store is an enterprise-wide hyper-scale repository for big data analytic workloads. Data Lake Store enables you to store data of any size, type and ingestion speed for operational and exploratory analytics. Stream Analytics has to be authorized to access the Data Lake Store.
Box 2: Azure Cosmos DB
Stream Analytics can target Azure Cosmos DB for JSON output, enabling data archiving and low-latency queries on unstructured JSON data.
Box 3: Azure Blob Storage
Blob storage offers a cost-effective and scalable solution for storing large amounts of unstructured data in the cloud.
Incorrect Asnwers:
Azure SQL Database:
Azure SQL Database can be used as an output for data that is relational in nature or for applications that depend on content being hosted in a relational database. Stream Analytics jobs write to an existing table in an Azure SQL Database.
Azure Service Bus Queue:
Service Bus Queues offer a First In, First Out (FIFO) message delivery to one or more competing consumers.
Typically, messages are expected to be received and processed by the receivers in the temporal order in which they were added to the queue, and each message is received and processed by only one message consumer.
Azure Table Storage
Azure Table storage offers highly available, massively scalable storage, so that an application can automatically scale to meet user demand. Table storage is Microsoft's NoSQL key/attribute store, which one can leverage for structured data with fewer constraints on the schema. Azure Table storage can be used to store data for persistence and efficient retrieval.
References: https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-define-outputs