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Sharpen Your Knowledge with Microsoft (70-776) Certification Sample Questions
CertsTime has provided you with a sample question set to elevate your knowledge about the Microsoft Perform Big Data Engineering on Microsoft Cloud Services exam. With these updated sample questions, you can become quite familiar with the difficulty level and format of the real 70-776 certification test. Try our sample Microsoft Perform Big Data Engineering on Microsoft Cloud Services certification practice exam to get a feel for the real exam environment. Our sample practice exam gives you a sense of reality and an idea of the questions on the actual Microsoft MCSA: Data Engineering with Azure certification exam.
Our sample questions are similar to the Real Microsoft 70-776 exam questions. The premium Microsoft Perform Big Data Engineering on Microsoft Cloud Services certification practice exam gives you a golden opportunity to evaluate and strengthen your preparation with real-time scenario-based questions. Plus, by practicing real-time scenario-based questions, you will run into a variety of challenges that will push you to enhance your knowledge and skills.
Microsoft 70-776 Sample Questions:
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 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.
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?
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 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?
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