
Microsoft Engineering Data with Microsoft Cloud Services - 70-776 Exam Questions
QUESTION NO: 1
You use Microsoft Visual Studio to develop custom solutions for customers who use Microsoft Azure Data Lake Analytics.
You install the Data Lake Tools for Visual Studio.
You need to identify which tasks can be performed from Visual Studio and which tasks can be performed from the Azure portal.
What should you identify for each task? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

You use Microsoft Visual Studio to develop custom solutions for customers who use Microsoft Azure Data Lake Analytics.
You install the Data Lake Tools for Visual Studio.
You need to identify which tasks can be performed from Visual Studio and which tasks can be performed from the Azure portal.
What should you identify for each task? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Correct Answer:


QUESTION NO: 2
You have IoT devices that produce the following output.

You need to use Microsoft Azure Stream Analytics to convert the output into the tabular format described in the following table.

How should you complete the Stream Analytics query? 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 have IoT devices that produce the following output.

You need to use Microsoft Azure Stream Analytics to convert the output into the tabular format described in the following table.

How should you complete the Stream Analytics query? 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.

Correct Answer:


QUESTION NO: 3
You are troubleshooting job performance and failure issues for Microsoft Azure Data Lake Analytics jobs.
You need to perform the following tasks:
Which tool should you use for each task? To answer, drag the appropriate tools to the correct tasks. Each tool 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 troubleshooting job performance and failure issues for Microsoft Azure Data Lake Analytics jobs.
You need to perform the following tasks:
Which tool should you use for each task? To answer, drag the appropriate tools to the correct tasks. Each tool 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.

Correct Answer:

Explanation

References:
https://docs.microsoft.com/en-us/azure/data-lake-analytics/data-lake-analytics-data-lake-tools-view-jobs
QUESTION NO: 4
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 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.

Correct Answer:

Explanation

References:
https://github.com/aelij/azure-content/blob/master/articles/data-factory/data-factory-create-pipelines.md
QUESTION NO: 5
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 troubleshooting a slice in Microsoft Azure Data Factory for a dataset that has been in a waiting state for the last three days. The dataset should have been ready two days ago.
The dataset is being produced outside the scope of Azure Data Factory. The dataset is defined by using the following JSON code.

You need to modify the JSON code to ensure that the dataset is marked as ready whenever there is data in the data store.
Solution: You add a structure property to the dataset.
Does this meet the goal?
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 troubleshooting a slice in Microsoft Azure Data Factory for a dataset that has been in a waiting state for the last three days. The dataset should have been ready two days ago.
The dataset is being produced outside the scope of Azure Data Factory. The dataset is defined by using the following JSON code.

You need to modify the JSON code to ensure that the dataset is marked as ready whenever there is data in the data store.
Solution: You add a structure property to the dataset.
Does this meet the goal?
Correct Answer: B
Explanation: Only visible for Pass4Test members. You can sign-up / login (it's free).
QUESTION NO: 6
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.
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.
Correct Answer: A,C
QUESTION NO: 7
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?
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?
Correct Answer: B
QUESTION NO: 8
You have a Microsoft Azure SQL data warehouse that has a fact table named FactOrder. FactOrder contains three columns named CustomerId, OrderId, and OrderDateKey. FactOrder is hash distributed on CustomerId.
OrderId is the unique identifier for FactOrder. FactOrder contains 3 million rows.
Orders are distributed evenly among different customers from a table named dimCustomers that contains 2 million rows.
You often run queries that join FactOrder and dimCustomers by selecting and grouping by the OrderDateKey column.
You add 7 million rows to FactOrder. Most of the new records have a more recent OrderDateKey value than the previous records.
You need to reduce the execution time of queries that group on OrderDateKey and that join dimCustomers and FactOrder.
What should you do?
You have a Microsoft Azure SQL data warehouse that has a fact table named FactOrder. FactOrder contains three columns named CustomerId, OrderId, and OrderDateKey. FactOrder is hash distributed on CustomerId.
OrderId is the unique identifier for FactOrder. FactOrder contains 3 million rows.
Orders are distributed evenly among different customers from a table named dimCustomers that contains 2 million rows.
You often run queries that join FactOrder and dimCustomers by selecting and grouping by the OrderDateKey column.
You add 7 million rows to FactOrder. Most of the new records have a more recent OrderDateKey value than the previous records.
You need to reduce the execution time of queries that group on OrderDateKey and that join dimCustomers and FactOrder.
What should you do?
Correct Answer: B
Explanation: Only visible for Pass4Test members. You can sign-up / login (it's free).
QUESTION NO: 9
You plan to use Microsoft Azure Data factory to copy data daily from an Azure SQL data warehouse to an Azure Data Lake Store.
You need to define a linked service for the Data Lake Store. The solution must prevent the access token from expiring.
Which type of authentication should you use?
You plan to use Microsoft Azure Data factory to copy data daily from an Azure SQL data warehouse to an Azure Data Lake Store.
You need to define a linked service for the Data Lake Store. The solution must prevent the access token from expiring.
Which type of authentication should you use?
Correct Answer: D
Explanation: Only visible for Pass4Test members. You can sign-up / login (it's free).
QUESTION NO: 10
You plan to deploy a Microsoft Azure virtual machine that will a host data warehouse. The data warehouse will contain a 10-TB database.
You need to provide the fastest read and writes times for the database.
Which disk configuration should you use?
You plan to deploy a Microsoft Azure virtual machine that will a host data warehouse. The data warehouse will contain a 10-TB database.
You need to provide the fastest read and writes times for the database.
Which disk configuration should you use?
Correct Answer: B




