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NEW QUESTION: 1
A rule developer is creating a virtual method that will calculate the percentage of a provided value. The method receives 2 parameters: The first parameter is the percentage and second parameter is the value to calculate the percentage from. What is a correct verbalization to accomplish this?
A. The {1}% of {2}
B. The {0}%of{1}
C. The {0}% of {this}
D. The {1}% of {this}
Answer: D
NEW QUESTION: 2
You develop an HTML5 webpage. You have the following HTML markup:
You also have the following JavaScript code:
You need to post messages by using the HTML5 WebSocket API.
Which code segment should you use?
A. socket.onmessage($("#message").val());
B. socket.send($("#message").val());
C. var msg = $("#message").val();$.post(socket.onmessage, function (msg) { ... });
D. var msg = $("#message").val();$.post(socket, function (msg) { ... });
Answer: B
Explanation:
Explanation/Reference:
References: https://www.tutorialspoint.com/html5/html5_websocket.htm
NEW QUESTION: 3
Which online service allows you to store and retrieve files over the Internet?
A. Windows Storage Server
B. Windows Future Storage
C. Windows Media Center
D. Windows Live SkyDrive
Answer: D
NEW QUESTION: 4
You need to determine the location of cars in an image so that you can estimate the distance between the cars.
Which type of computer vision should you use?
A. object detection
B. image classification
C. face detection
D. optical character recognition (OCR)
Answer: A
Explanation:
Explanation
Object detection is similar to tagging, but the API returns the bounding box coordinates (in pixels) for each object found. For example, if an image contains a dog, cat and person, the Detect operation will list those objects together with their coordinates in the image. You can use this functionality to process the relationships between the objects in an image. It also lets you determine whether there are multiple instances of the same tag in an image.
The Detect API applies tags based on the objects or living things identified in the image. There is currently no formal relationship between the tagging taxonomy and the object detection taxonomy. At a conceptual level, the Detect API only finds objects and living things, while the Tag API can also include contextual terms like
"indoor", which can't be localized with bounding boxes.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-object-detection
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