Free Microsoft 70-776 Exam Dumps Questions & Answers
| Exam Code/Number: | 70-776Join the discussion |
| Exam Name: | Engineering Data with Microsoft Cloud Services |
| Certification: | Microsoft |
| Free Question Number: | 92 |
| Publish Date: | Aug 11, 2026 |
| # of views: | 6159 |
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You have a Microsoft Azure SQL data warehouse that has 10 compute nodes.
You need to export 10 TB of data from a data warehouse table to several new flat files in Azure Blob storage.
The solution must maximize the use of the available compute nodes.
What should you do?
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?
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 clustered columnstore index.
Does this meet the goal?
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 have an extract, transformation, and load (ETL) process for a Microsoft Azure SQL data warehouse.
You run the following statements to create the logon and user for an account that will run the nightly data load for the data warehouse.
CREATE LOGIN LoaderLogin WITH PASSWORD = 'mypassword';
CREATE USER LoaderUser for LOGIN LoaderLogin;
You connect to the data warehouse.
You need to ensure that the user can access the highest resource class.
Which statement should you execute?

