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NEW QUESTION: 1
Match the types of computer vision to the appropriate scenarios.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation
Box 1: Facial recognition
Face detection that perceives faces and attributes in an image; person identification that matches an individual in your private repository of up to 1 million people; perceived emotion recognition that detects a range of facial expressions like happiness, contempt, neutrality, and fear; and recognition and grouping of similar faces in images.
Box 2: OCR
Box 3: Objection detection
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://azure.microsoft.com/en-us/services/cognitive-services/face/
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-object-detection

NEW QUESTION: 2
You have an Azure subscription that contains a storage account.
You have an on-premises server named Server1 that runs Window Server 2016. Server1 has 2 TB of data.
You need to transfer the data to the storage account by using the Azure Import/Export service.
In which order should you perform the actions? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.
NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.

Answer:
Explanation:

Explanation

NEW QUESTION: 3
프로젝트 관리자는 여러 소스에서 새로운 범위 요구를 받고 있습니다. 프로젝트 관리자는 이러한 요청을 처리하기 위해 무엇을 사용해야 합니까?
A. 업무 성과 보고서
B. 프로젝트 관리 계획 업데이트
C. 프로젝트 문서 업데이트
D. 통합 변경 관리 프로세스 수행
Answer: D

NEW QUESTION: 4
Which of the following methods is more microscopic and will analyze the direction of the ridges of the fingerprints for matching?
A. Minutia matching
B. Flow direct
C. Ridge matching
D. None of the choices.
Answer: A
Explanation:
There are two approaches for capturing the fingerprint image for matching: minutia matching and global pattern matching. Minutia matching is a more microscopic approach that analyzes the features of the fingerprint, such as the location and direction of the ridges, for matching. The only problem with this approach is that it is difficult to extract the minutiae points accurately if the fingerprint is in some way distorted. The more macroscopic approach is global pattern matching where the flow of the ridges is compared at all locations between a pair of fingerprint images; however, this can be affected by the direction that the image is rotated.