You are developing an application that uses Microsoft Azure Stream Analytics.
You have data structures that are defined dynamically.
You want to enable consistency between the logical methods used by stream processing and batch processing.
You need to ensure that the data can be integrated by using consistent data points.
What should you use to process the data?

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are monitoring user queries to a Microsoft Azure SQL data warehouse that has six compute nodes.
You discover that compute node utilization is uneven. The rows_processed column from sys.dm_pdw_workers shows a significant variation in the number of rows being moved among the distributions for the same table for the same query.
You need to ensure that the load is distributed evenly across the compute nodes.
Solution: You add a nonclustered columnstore index.
Does this meet the goal?

You have an on-premises Microsoft SQL Server instance.
You plan to copy a table from the instance to a Microsoft Azure Storage account.
You need to ensure that you can copy the table by using Azure Data Factory.
Which service should you deploy?

You have a Microsoft Azure Data Lake Analytics service.
You have a tab-delimited file named UserActivity.tsv that contains logs of user sessions. The file does not have a header row.
You need to create a table and to load the logs to the table. The solution must distribute the data by a column named SessionId.
How should you complete the U-SQL statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

You have a Microsoft Azure Data Lake Analytics service.
You have a file named Employee.tsv that contains data on employees. Employee.tsv contains seven columns named EmpId, Start, FirstName, LastName, Age, Department, and Title.
You need to create a Data Lake Analytics jobs to transform Employee.tsv, define a schema for the data, and output the data to a CSV file. The outputted data must contain only employees who are in the sales department. The Age column must allow NULL.
How should you complete the U-SQL code segment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

You plan to develop a solution for real-time sentiment analysis of Twitter data.
You need to create a Microsoft Azure Stream Analytics job query to count the number of tweets during a period.
Which Window function should you use for each requirement? To answer, drag the appropriate functions to the correct requirements. Each function may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

You have a fact table named PowerUsage that has 10 billion rows. PowerUsage contains data about customer power usage during the last 12 months. The usage data is collected every minute. PowerUsage contains the columns configured as shown in the following table.

LocationNumber has a default value of 1. The MinuteOfMonth column contains the relative minute within each month. The value resets at the beginning of each month.
A sample of the fact table data is shown in the following table.

There is a related table named Customer that joins to the PowerUsage table on the CustomerId column. Sixty percent of the rows in PowerUsage are associated to less than 10 percent of the rows in Customer. Most queries do not require the use of the Customer table. Many queries select on a specific month.
You need to minimize how long it takes to find the records for a specific month.
What should you do?

You ingest data into a Microsoft Azure event hub.
You need to export the data from the event hub to Azure Storage and to prepare the data for batch processing tasks in Azure Data Lake Analytics.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

You are using Cognitive capabilities in U-SQL to analyze images that contain different types of objects.
You need to identify which objects might be people.
Which two reference assemblies should you use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

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?