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QUESTION 6
You need to use the Cognition.Vision.FaceDetector() function in U-SQL to analyze images. Which attribute can you detect by using the function?
A. gender
B. race
C. weight
D. hair color
Answer: A
QUESTION 7
You have a Microsoft Azure SQL data warehouse that contains information about community events. An Azure Data Factory job writes an updated CSV file in Azure Blob storage to Community/{date}/events.csv daily. You plan to consume a Twitter feed by using Azure Stream Analytics and to correlate the feed to the community events. You plan to use Stream Analytics to retrieve the latest community events data and to correlate the data to the Twitter feed data. You need to ensure that when updates to the community events data is written to the CSV files, the Stream Analytics job can access the latest community events data. What should you configure?
A. an output that uses a blob storage sink and has a path pattern of Community/{date}
B. an output that uses an event hub sink and the CSV event serialization format
C. an input that uses a reference data source and has a path pattern of Community/{date}/events.csv
D. an input that uses a reference data source and has a path pattern of Community/{date}
Answer: C
QUESTION 8
You have a Microsoft Azure Data Lake Analytics service. You need to write a U-SQL query to extract from a CSV file all the users who live in Boston, and then to save the results in a new CSV file. Which U-SQL script should you use?
A.
B.
C.
D.
Answer: A
QUESTION 9
You have an on-premises deployment of Active Directory named contoso.com. You plan to deploy a Microsoft Azure SQL data warehouse. You need to ensure that the data warehouse can be accessed by contoso.com users. Which two components should you deploy? (Each correct answer presents part of the solution. Choose two.)
A. Azure AD Privileged Identity Management
B. Azure Information Protection
C. Azure Active Directory
D. Azure AD Connect
E. Cloud App Discovery
F. Azure Active Directory B2C
Answer: CD
QUESTION 10
Note: This question is part of a series of questions that present the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
Start of repeated scenario.
You are migrating an existing on-premises data warehouse named LocalDW to Microsoft Azure. You will use an Azure SQL data warehouse named AzureDW for data storage and an Azure Data Factory named AzureDF for extract, transformation, and load (ETL) functions. For each table in LocalDW, you create a table in AzureDW. On the on-premises network, you have a Data Management Gateway. Some source data is stored in Azure Blob storage. Some source data is stored on an on-premises Microsoft SQL Server instance. The instance has a table named Table1. After data is processed by using AzureDF, the data must be archived and accessible forever. The archived data must meet a Service Level Agreement (SLA) for availability of 99 percent. If an Azure region fails, the archived data must be available for reading always.
End of repeated scenario.
You need to configure Azure Data Factory to connect to the on-premises SQL Server instance. What should you do first?
A. Deploy an Azure virtual network gateway.
B. Create a dataset in Azure Data Factory.
C. From Azure Data Factory, define a data gateway.
D. Deploy an Azure local network gateway.
Answer: C
Explanation:
https://docs.microsoft.com/en-us/azure/data-factory/v1/data-factory-move-data-between-onprem-and-cloud
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