Microsoft 70-776 Exam Questions and Answers 2021

NEW QUESTION 1
You have sensor devices that report data to Microsoft Azure Stream Analytics. Each sensor reports data several times per second.
You need to create a live dashboard in Microsoft Power BI that shows the performance of the sensor devices. The solution must minimize lag when visualizing the data.
Which function should you use for the time-series data element?

• A. LAG
• B. SlidingWindow
• C. System.TimeStamp
• D. TumblingWindow

Answer: D

NEW QUESTION 2
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?

• A. Change the distribution for the FactOrder table to round robin.
• B. Update the statistics for the OrderDateKey column.
• C. Change the distribution for the FactOrder table to be based on OrderId.
• D. Change the distribution for the dimCustomers table to OrderDateKey.

Answer: B

Explanation:
References:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-tables-statistics

NEW QUESTION 3
DRAG DROP
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.

Answer:

Explanation:

NEW QUESTION 4
You have the following process:
• A CSV file is ingested by Microsoft Azure Stream Analytics.
• Scoring is performed by Azure Machine Learning.
• Stream Analytics returns sentiment scoring through a web service endpoint.
• Stream Analytics creates an output blob.
You need to view the output of the scoring operation and to evaluate the throughput to the Machine Learning models.
Which monitoring data should you evaluate from the Azure portal?

• A. the request count of Stream Analytics
• B. the request count of Machine Learning
• C. the event count of Stream Analytics
• D. the event count of Machine Learning

Answer: C

NEW QUESTION 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 have a table named Table1 that contains 3 billion rows. Table1 contains data from the last 36 months.
At the end of every month, the oldest month of data is removed based on a column named DateTime.
You need to minimize how long it takes to remove the oldest month of data. Solution: You implement round robin for table distribution.
Does this meet the goal?

• A. Yes
• B. No

Answer: B

NEW QUESTION 6
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?

• A. There are connectivity issues with the output adapter.
• B. There is a connectivity issue between the data source and the event hub.
• C. There are multiple deliveries to the output adapter that writes the output events.
• D. The Stream Analytics output adapter writes the output events transactionally.

Answer: A

Explanation:
References:
https://msdn.microsoft.com/en-us/library/azure/mt721300.aspx

NEW QUESTION 7
You have an on-premises data warehouse that uses Microsoft SQL Server 2021. 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.

• A. Use SSIS to upload the files in Azure Blob storage to tables in the Azure SQL data warehouse.
• B. Execute the CREATE EXTERNAL TABLE AS SELECT statement to export the data.
• C. Use AzCopy to transfer the data from the on-premises data warehouse to Azure SQL data warehouse.
• D. Execute the CREATE TABLE AS SELECT statement to load the data.
• E. Define external tables in the Azure SQL data warehouse that map to the existing files in Azure Blob storage.

Answer: DE

Explanation:
References:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-load-from-azure- blob-storage-with-polybase

NEW QUESTION 8
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 sections, 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 change the table to use a column that is not skewed for hash distribution. Does this meet the goal?

• A. Yes
• B. No

Answer: A

NEW QUESTION 9
You have a Microsoft Azure Data Lake Analytics service.
You need to write a U-SQL query to extract from a CSV file all the users who live in Boston, and then to save the results in a new CSV file.
Which U-SQL script should you use?

• A. Option A
• B. Option B
• C. Option C
• D. Option D

Answer: A

NEW QUESTION 10
HOTSPOT
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.

Answer:

Explanation:

NEW QUESTION 11
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?

• A. a gateway
• B. a linked service
• C. a dataset
• D. a pipeline

Answer: C

NEW QUESTION 12
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 have a table named Table1 that contains 3 billion rows. Table1 contains data from the last 36 months.
At the end of every month, the oldest month of data is removed based on a column named DateTime.
You need to minimize how long it takes to remove the oldest month of data. Solution: You specify DateTime as the hash distribution column.
Does this meet the goal?

• A. Yes
• B. No

Answer: B

NEW QUESTION 13
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.

• A. ExtPython
• B. ImageCommon
• C. ImageTagging
• D. ExtR
• E. FaceSdk

Answer: BC

NEW QUESTION 14
Note: This question is part of a series of questions that use 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.

• A. adataset
• B. a gateway
• C. a pipeline
• D. a linked service

Answer: A

NEW QUESTION 15
You plan to capture the output from a group of 500 IoT devices that produce approximately 10 GB of
data per hour by using Microsoft Azure Stream Analytics. The data will be retained for one year.
Once the data is processed, it will be stored in Azure, and then analyzed by using an Azure HDInsight cluster.
You need to select where to store the output data from Stream Analytics. The solution must minimize costs.
What should you select?

• A. Azure Table Storage
• B. Azure SQL Database
• C. Azure Blob storage
• D. Azure SQL Data Warehouse

Answer: C

NEW QUESTION 16
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?

• A. Use a transform activity in an Azure Data Factory pipeline.
• B. Execute the create table as select statement.
• C. Use the bcp utility.
• D. Execute the create external table as select statement.

Answer: C

NEW QUESTION 17
HOTSPOT
You plan to implement a Microsoft Azure Stream Analytics job to track the data from IoT devices. You will have the following two jobs:
- Job1 will contain a query that has one non-partitioned step.
- Job2 will contain a query that has two steps. One of the steps is partitioned.
What is the maximum number of streaming units that will be consumed per job? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-scale-jobs https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-streaming-unit- consumption

NEW QUESTION 18
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?

• A. Configure event hubs and blobs to use the PartitionKey field as the partition ID.
• B. Set the partition key for the inputs, queries, and outputs to use the same partition folder
• C. Configure the queries to use uniform partition keys.
• D. Set the partition key for the inputs, queries, and outputs to use the same partition folder
• E. Configure the queries to use different partition keys.
• F. Define the number of input partitions to equal the number of output partitions.

Answer: A

Explanation:
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-parallelization