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NEW QUESTION: 1
HOTSPOT



Answer:
Explanation:

NEW QUESTION: 2

After how many weeks of growth was the height of the seeds in fertilizer the same as the height of the small plants not fertilized?
A. 0
B. 1
C. 2
D. 3
E. 4
Answer: B

NEW QUESTION: 3
Siehe Ausstellung.

Ein Techniker konfiguriert den NEW York-Router so, dass er die Lo1-Schnittstelle des Atlanta-Routers unter Verwendung der Schnittstelle Se0 / 0/0 als primären Pfad erreicht. Welche zwei Befehle müssen auf dem New Yorker Router konfiguriert werden, damit er über Washington die Lo1-Schnittstelle des Atlanta-Routers erreichen kann, wenn die Verbindung zwischen New York und Atlanta unterbrochen wird? (Wähle zwei)
A. ipv6 router 2000::1/128 2012::1 5
B. ipv6 router 2000::1/128 2012::2
C. ipv6 router 2000::1/128 2023::2 5
D. ipv6 router 2000::1/128 2012::1
E. ipv6 router 2000::1/128 2023::3 5
Answer: D,E
Explanation:
Explanation
Floating static routes are static routes that have an administrative distance greater than the administrative distance (AD) of another static route or dynamic routes. By default a static route has an AD of 1 then floating static route must have the AD greater than 1. Floating static route has a manually configured administrative distance greater than that of the primary route and therefore would not be in the routing table until the primary route fails.

NEW QUESTION: 4
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