70-475 試験問題を無料オンラインアクセス
| 試験コード: | 70-475 |
| 試験名称: | Design and Implement Big Data Analytics Solutions |
| 認定資格: | Microsoft |
| 無料問題数: | 122 |
| 更新日: | 2026-10-21 |
You are automating the deployment of a Microsoft Azure Data Factory solution. The data factory will interact with a file stored in Azure Blob storage.
You need to use the REST API to create a linked service to interact with the file.
How should you complete the request body? To answer, drag the appropriate code elements to the correct locations. Each code may be used once, more than once, or not at all. You may need to drag the slit bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
The health tracking application uses the features of a live dashboard to provide historical and trending data based on the users activities.
You need to recommend which processing model must be used to process the following types of data:
The top three activities per user on rainy days
The top three activities per user during the last 24 hours
The top activities per geographic region during last 24 hours
The most common sequences of three activities in a row for all of the users Which processing model should you recommend for each date type? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
You have a Microsoft Azure Machine Learning application named App1 that is used by several departments in your organization.
App 1 connects to an Azure database named DB1. DB1 contains several tables that store sensitive information.
You plan to implement a security solution for the tables.
You need to prevent the users of App1 from viewing the data of users in other departments in the tables. The solution must ensure that the users can see only data of the users in their respective department.
Which feature should you implement?
You have a large datacenter.
You plan to track the hardware failure notifications that occur in the datacenter. You expect to collect approximated 2 TB of data each month. You need to recommend a solution that meets the following requirements:
* Operators must be informed by email as soon as a hardware failure occurs.
* All event data associated with a hardware failure must be preserved for 24 months.
The solution must minimize costs.
You are building a streaming data analysis solution that will process approximately 1 TB of data weekly.
You plan to use Microsoft Azure Stream Analytics to create alerts on real-time data. The data must be preserved for deeper analysis at a later date.
You need to recommend a storage solution for the alert data. The solution must meet the following requirements:
* Support scaling up without any downtime
* Minimize data storage costs.
What should you recommend using to store the data?