Microsoft 070-776 Actual Free Exam Questions & Community Discussion

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?

You have a Microsoft Azure Data Lake Analytics service.
You need to provide a user with the ability to monitor Data Lake Analytics jobs. The solution must minimize the number of permissions assigned to the user.
Which role should you assign to the user?

You have a Microsoft Azure SQL data warehouse named DW1. Data is located to DW1 once daily at 01:00.
A user accidentally deletes data from a fact table in DW1 at 09:00.
You need to recover the lost data. The solution must prevent the need to change any connection strings and must minimize downtime.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

You have a Microsoft Azure Data Lake Analytics service.
You plan to configure diagnostic logging.
You need to use Microsoft Operations Management Suite (OMS) to monitor the IP addresses that are used to access the Data Lake Store.
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. 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?

You are creating a series of activities for a Microsoft Azure Data Factory. The first activity will copy an input dataset named Dataset1 to an output dataset named Dataset2. The second activity will copy a dataset named Dataset3 to an output dataset named Dataset4.
Dataset1 is located in Azure Table Storage. Dataset2 is located in Azure Blob storage. Dataset3 is located in an Azure Data Lake store. Dataset4 is located in an Azure SQL data warehouse.
You need to configure the inputs for the second activity. The solution must ensure that Dataset3 is copied after Dataset2 is created.
How should you complete the JSON code for the second activity? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

You use Microsoft Azure Stream Analytics to analyze data from an Azure event hub in real time and send the output to a table named Table1 in an Azure SQL database. Table1 has three columns named Date, EventID, and User.
You need to prevent duplicate data from being stored in the database.
How should you complete the statement? To answer, drag the appropriate values to the correct targets. Each value 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.
NOTE: Each correct selection is worth one point.

You are building a Microsoft Azure Stream Analytics job definition that includes inputs, queries, and outputs.
You need to create a job that automatically provides the highest level of parallelism to the compute instances.
What should you do?

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.
NOTE: Each correct selection is worth one point.

You are designing a fact table that has 100 million rows and 1,800 partitions. The partitions are defined based on a column named OrderDayKey. The fact table will contain:
* Data from the last five years
* A clustered columnstore index
* A column named YearMonthKey that stores the year and the month
Multiple transformations will be performed on the fact table during the loading process. The fact table will be hash distributed on a column named OrderId.
You plan to load the data to a staging table and to perform transformations on the staging table. You will then load the data from the staging table to the final fact table.
You need to design a solution to load the data to the fact table. The solution must minimize how long it takes to perform the following tasks:
* Load the staging table.
* Transfer the data from the staging table to the fact table.
* Remove data that is older than five years.
* Query the data in the fact table
How should you configure the tables? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.