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You need to define an input dataset for a Microsoft Azure Data Factory pipeline. Which properties should you include when you define the dataset?
A. name, type, typeProperties, and availability
B. name, typeProperties, structure, and availability
C. name, policy, structure, and external
D. name, type, policy, and structure
You have a file in a Microsoft Azure Data Lake Store that contains sales data. The file contains sales amounts by salesperson, by city, and by state. You need to use U-SQL to calculate the percentage of sales that each city has for its respective state. Which code should you use?
You have an on-premises data warehouse that uses Microsoft SQL Server 2016. All the data in the data warehouse comes from text files stored in Azure Blob storage. The text files are imported into the data warehouse by using SQL Server Integration Services (SSIS). The text files are not transformed. You need to migrate the data to an Azure SQL data warehouse in the least amount of time possible. Which two actions should you perform? (Each correct answer presents part of the solution. Choose two.)
A. Use SSIS to upload the files in Azure Blob storage to tables in the Azure SQL data warehouse.
B. Execute the CREATE EXTERNAL TABLE AS SELECT statement to export the data.
C. Use AzCopy to transfer the data from the on-premises data warehouse to Azure SQL data warehouse.
D. Execute the CREATE TABLE AS SELECT statement to load the data.
E. Define external tables in the Azure SQL data warehouse that map to the existing files in Azure Blob storage.
You have a Microsoft Azure Data Factory that recently ran several activities in parallel. You receive alerts indicating that there are insufficient resources. From the Activity Windows list in the Monitoring and Management app, you discover the statuses described in the following table:
Which activity cannot complete because of insufficient resources?
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. The storage solution for the archived data must minimize costs.
End of repeated scenario.
You need to define the schema of Table1 in AzureDF. What should you create?
A. a gateway
B. a linked service
C. a dataset
D. a pipeline
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