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NEW QUESTION: 1
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You have a Microsoft SQL Server Analysis Services (SSAS) instance that is configured to use multidimensional mode. You create the following cube:

Users need to be able to analyze sales by product and color.
You need to create the dimension.
Which relationship type should you use between the InternetSales table and the new dimension?
A. fact
B. data mining
C. referenced
D. no relationship
E. regular
F. many-to-many
Answer: C
Explanation:
A reference dimension relationship between a cube dimension and a measure group exists when the key column for the dimension is joined indirectly to the fact table through a key in another dimension table, as shown in the following illustration.

A reference dimension relationship represents the relationship between dimension tables and a fact table in a snowflake schema design. When dimension tables are connected in a snowflake schema, you can define a single dimension using columns from multiple tables, or you can define separate dimensions based on the separate dimension tables and then define a link between them using the reference dimension relationship setting. The following figure shows one fact table named InternetSales, and two dimension tables called Customer and Geography, in a snowflake schema.

You can create two dimensions related to the InternetSales measure group: a dimension based on the Customer table, and a dimension based on the Geography table. You can then relate the Geography dimension to the InternetSales measure group using a reference dimension relationship using the Customer dimension.

NEW QUESTION: 2
A company has a real-lime data analysis solution that is hosted on Microsoft Azure the solution uses Azure Event Hub to ingest data and an Azure Stream Analytics cloud job to analyze the data. The cloud job is configured to use 120 Streaming Units (SU).
You need to optimize performance for the Azure Stream Analytics job.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one port.
A. Implement query parallelization by partitioning the data input
B. Scale the SU count for the job up
C. Implement event ordering
D. Implement query parallelization by partitioning the data output
E. Scale the SU count for the job down
F. Implement Azure Stream Analytics user-defined functions (UDF)
Answer: A,B
Explanation:
Scale out the query by allowing the system to process each input partition separately.
F: A Stream Analytics job definition includes inputs, a query, and output. Inputs are where the job reads the data stream from.
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-parallelization

NEW QUESTION: 3
Ihr Netzwerk enth?lt eine Active Directory-Dom?ne mit dem Namen contoso.com. Die Dom?ne enth?lt Computer, auf denen Windows 10 ausgef��hrt wird und die der Dom?ne angeh?ren.
Die Dom?ne wird mit Microsoft Azure Active Directory (Azure AD) synchronisiert.
Sie erstellen einen Azure Log Analytics-Arbeitsbereich und stellen die Ger?teintegrit?tsl?sung bereit. Sie m��ssen die Computer in Windows Analytics registrieren.
Welche Gruppenrichtlinieneinstellung sollten Sie konfigurieren?
A. Telemetrie zulassen
B. Geben Sie den Speicherort des Microsoft-Aktualisierungsdienstes im Intranet an
C. Connected User Experiences und Telemetrie
D. Konfigurieren Sie die Handels-ID
Answer: D
Explanation:
Explanation
Microsoft uses a unique commercial ID to map information from user computers to your Azure workspace.
Copy your commercial ID key from any of the Windows Analytics solutions you have added to your Windows Portal, and then deploy it to user computers.
References:
https://docs.microsoft.com/en-us/windows/deployment/update/windows-analytics-get-started