Microsoft Engineering Data with Microsoft Cloud Services - 070-776 Exam Questions

QUESTION NO: 1
You use Microsoft Azure Data Lake Store as the default storage for an Azure HDInsight cluster.
You establish an SSH connection to the HDInsight cluster.
You need to copy files from the HDInsight cluster to the Data LakeStore.
Which command should you use?

QUESTION NO: 2
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?

QUESTION NO: 3
You have a Microsoft Azure Stream Analytics solution that captures website visits and user interactions on the website.
You have the sample input data described in the following table.

You have the sample output described in the following table.

How should you complete the script? 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.

QUESTION NO: 4
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.

QUESTION NO: 5
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?

QUESTION NO: 6
You have a Microsoft Azure SQL data warehouse. You have an Azure Data Lake Store that contains data from ORC, RC, Parquet, and delimited text files.
You need to load the data to the 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.

QUESTION NO: 7
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 configure an activity to move data from blob storage to AzureDW.
What should you create?

QUESTION NO: 8
You plan to use Microsoft Azure Event Hubs to ingest data. You plan to use Azure Stream Analytics to analyze the data in real time and to send the output directly to Azure Data Lake Store.
You discover duplicate records in the output data.
What is a possible cause of the duplicate records?

QUESTION NO: 9
You have a Microsoft Azure Data Lake Analytics service and an Azure Data Lake Store.
You need to use Python to submit a U-SQL job.
Which Python module should you install?

QUESTION NO: 10
You have a Microsoft Azure Data Lake Store and an Azure Active Directory tenant.
You are developing an application that will access the Data Lake Store by using end-user credentials.
You need to ensure that the application uses end-user authentication to access the Data Lake Store.
What should you create?