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NEW QUESTION: 1
In business continuity (BC) terms, what is the name of the individual responsible for recording all pertinent information associated with a BC exercise or real plan invocation?
A. Scribe.
B. Desk secretary.
C. Recorder.
D. Scrum Master.
Answer: C

NEW QUESTION: 2
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
Your network contains an Active Directory domain named contoso.com. All servers run Windows Server 2016. All client computers run Windows 10.
The relevant objects in the domain are configured as shown in the following table.

You need to assign User1 the right to restore files and folders on Server1, and Server2.
Solution: You add User1 to the Backup Operators group on Server1 and Server2.
Does this meet the goal?
A. Yes
B. No
Answer: A
Explanation:
https://technet.microsoft.com/en-us/library/cc771990(v=ws.11).aspx Backup Operators Members of this group can back up and restore files on a computer, regardless of any permissions that protect those files. This is because the right to perform a backup takes precedence over all file permissions. Members of this group cannot change security settings.

NEW QUESTION: 3
画像をComputerVision APIに送信し、展示に示されている注釈付きの画像を受け取ります。

どのタイプのコンピュータービジョンが使用されましたか？
A. 画像分類
B. 光学式文字認識（OCR）
C. セマンティックセグメンテーション
D. 物体検出
Answer: D
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