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NEW QUESTION: 1
展示を参照してください。
なぜスイッチがルートブリッジとして考えられますか。
A. VLAN 1のスイッチプライオリティとマクロが「このブリッジがルートである」を指定します。
B. ブリッジプライオリティは128.19であり、すべてのポートが転送しています。
C. スイッチ優先順位の値はゼロであり、それはVLAN1の最\最も低い優先順位の値を持っています。
D. ブリッジプライオリティは1であり、すべてのポートが転送しています。
Answer: C
NEW QUESTION: 2
What responsibilities does the Ariba Functional Lead have during an Ariba P2P deployment?
There are 2 correct answers to this question.
Response:
A. Configure site according to customer requirements.
B. Review master data for completeness and assist in data issue resolution.
C. Facilitate business process review and configuration sessions.
D. Educate customer on functionality and setup of Ariba Integration tools.
Answer: A,C
NEW QUESTION: 3
車間の距離を推定できるように、画像内の車の位置を特定する必要があります。
どのタイプのコンピュータビジョンを使用する必要がありますか？
A. 画像分類
B. 物体検出
C. 光学式文字認識（OCR）
D. 顔検出
Answer: B
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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