Microsoft Engineering Data with Microsoft Cloud Services - 70-776무료 덤프문제 풀어보기

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 connect AzureDF to the storage account.
What should you create?

You have a Microsoft Azure Stream Analytics job.
You are debugging event information manually.
You need to view the event data that is being collected.
Which monitoring data should you view for the Stream Analytics job?

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 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?

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?

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?

You plan to deploy a Microsoft Azure Stream Analytics job to filter multiple input streams from IoT devices that have a total data flow of 30 MB/s.
You need to calculate how many streaming units you require for the job. The solution must prevent lag.
What is the minimum number of streaming units required?

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?

You plan to create several U-SQLjobs.
You need to store structured data and code that can be shared by the U-SQL jobs.
What should you use?