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NEW QUESTION: 1
注：この質問は同じシナリオを提示する一連の質問の一部です。連載の各質問には、記載されている目標を達成できる可能性のある固有の解決策が含まれています。他の人が正しい解決策を持っていないかもしれない間、いくつかの質問セットは複数の正しい解決策を持つかもしれません。
このセクションで質問に答えた後は、それに戻ることはできません。その結果、これらの質問はレビュー画面に表示されません。
あなたの会社はEX01という名前のMicrosoft Exchange Server 2019サーバーを持っています。 EX01には既定の受信コネクタがあります。 EX01は、会社の境界ネットワーク内のアプライアンスからポート25でインターネット電子メールを受信します。
この会社には、ポート25でのみ電子メールを送信できるApp1という名前のアプリケーションがあります。アプリケーション管理者は、App1を有効にして電子メールをEX01経由で配信するように要求します。
EX01がアプライアンスとApp1からの電子メールのみを受け付けるようにする必要があります。
解決方法：EX01に2番目のIPアドレスを追加します。 App1 EX01という名前の新しいリンクコネクタを作成します。
これは目標を達成していますか？
A. はい
B. いいえ
Answer: B
Explanation:
説明
参考文献：
https://docs.microsoft.com/ja-jp/exchange/mail-flow/mail-routing/mail-routing?view=exchserver-2019

NEW QUESTION: 2
What is the definition of zone on an SRX series devices?
A. A collection of one or more network segment sharing similar security requirements.
B. An individual logical interface with a public IP address
C. An individual logical interface with a private IP address
D. A collection of one or more network segments with different security requirements
Answer: A

NEW QUESTION: 3
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: 4
Click on the Exhibit Button to view the Formula Sheet. If EUR/USD is quoted to you as 1.1050-53, does this price represent?
A. Depends on whether the price is being quoted in Eu
B. The number of EUR per USD
C. The number of USD per EUR
D. Depends on whether the price is being quoted inter
Answer: C