脅威防御ソリューションを左側から右側の説明にドラッグアンドドロップします。
Answer:
Explanation:
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NEW QUESTION: 1
脅威防御ソリューションを左側から右側の説明にドラッグアンドドロップします。
Answer:
Explanation:
NEW QUESTION: 2
Your company has a SharePoint Server 2013 server farm.
You create a Business Connectivity Services (BCS) application.
You deploy the application to the farm,
Users create lists and add items to the lists based on the BCS application.
The users report that when they search for data, BCS items are not displayed in the search
results. Other items in the farm are displayed in the search results.
You need to ensure that BCS data is displayed in the search results. The solution must minimize administrative effort.
What should you create?
A. a Custom Repository content source
B. a Line of Business Data content source
C. an OpenSearch 1.0/1.1 result source
D. a Local SharePoint Results result source
Answer: B
Explanation:
If your company has an on-premises SharePoint 2013 farm and a SharePoint Online 2013 tenancy, you can use BCS to create a secure connection between the two to make line-of-business (LOB) data available to applications for SharePoint and external lists in SharePoint Online. This is called a SharePoint BCS Hybrid solution. SharePoint Online 2013 supports only one-way connections from online to on-premises and to only one on-premises farm. The LOB data must be published as an OData source
NEW QUESTION: 3
You need to develop a mobile app for employees to scan and store their expenses while travelling.
Which type of computer vision should you use?
A. semantic segmentation
B. object detection
C. optical character recognition (OCR)
D. image classification
Answer: C
Explanation:
Explanation
Azure's Computer Vision API includes Optical Character Recognition (OCR) capabilities that extract printed or handwritten text from images. You can extract text from images, such as photos of license plates or containers with serial numbers, as well as from documents - invoices, bills, financial reports, articles, and more.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-recognizing-text