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NEW QUESTION: 1
PCI仮想インスタンスが存在する2か国の要件に変更がありました。そのため、3つの仮想インスタンスを両方の国のPCI環境に追加する必要があり、2つのインスタンスを削除する必要があります。
これらの2か国でコンプライアンスを確実に満たすための最良の方法は次のうちどれですか。
A. 新しい要件の発効日までに、各国で、2つのコンプライアンス違反の仮想インスタンスを削除します。
B. 新しい要件の発効日までに、各国で3つの新しい仮想インスタンスを実装します。
C. 新しい要件の発効日までに、各国で、2つのコンプライアンス違反の仮想インスタンスを削除し、3つの新しい仮想インスタンスを実装します。
D. 新しい要件の発効日までに、各国で3つの新しい仮想インスタンスを実装します。
1か月のテストの後、2つのコンプライアンス違反の仮想インスタンスを削除します。
Answer: A

NEW QUESTION: 2
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