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NEW QUESTION: 1
HOTSPOT


Answer:
Explanation:

Explanation:

* 400 users -> 400 Office 365licences

NEW QUESTION: 2
A process analyst needs to analyze each instance of the application approval process to determine which applications are from a specific location. Which is the MOST effective way to analyze this information?
A. Use a predefined business measure template based on a business item attribute.
B. Define a custom Key Performance Indicator (KPI).
C. Use an aggregated process measure that evaluates the location based on the business item attribute.
D. Define a custom expression that evaluates process instances over time.
Answer: A

NEW QUESTION: 3
あなたはアプリケーションをテストしています。 このアプリケーションには、CalculateInterestおよびLogLineという名前のメソッドが含まれています。 CalculateInterest（）メソッドは、ローンの利子を計算します。 LogLine（）メソッドは、診断メッセージをコンソールウィンドウに送信します。
あなたには次の要件があります。
* CalculateInterest（）メソッドは、すべてのビルド構成に対して実行する必要があります。
* LogLine（）メソッドは、デバッグビルドでのみ呼び出される必要があります。
メソッドが正しく実行されるようにする必要があります。
関連コードをどのように完成させるべきですか？ （回答するには、適切なコードセグメントを回答エリアの正しい場所にドラッグします。各コードセグメントは、1回、複数回、またはまったく使用されないことがあります。）

Answer:
Explanation:

Explanation

When the C# compiler encounters an #if directive, followed eventually by an #endif directive, it will compile the code between the directives only if the specified symbol is defined. Unlike C and C++, you cannot assign a numeric value to a symbol; the #if statement in C# is Boolean and only tests whether the symbol has been defined or not. For example,
#define DEBUG
#if DEBUG
Console.WriteLine("Debug version");
#endif
Reference: http://stackoverflow.com/questions/2104099/c-sharp-if-then-directives-for-debug-vs-release

NEW QUESTION: 4
What are two tasks that can be performed by using computer vision? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. Translate text between languages.
B. Predict stock prices.
C. Detect brands in an image.
D. Detect the color scheme in an image
E. Extract key phrases.
Answer: C,E
Explanation:
B: Azure's Computer Vision service gives you access to advanced algorithms that process images and return information based on the visual features you're interested in. For example, Computer Vision can determine whether an image contains adult content, find specific brands or objects, or find human faces.
E: Computer Vision includes Optical Character Recognition (OCR) capabilities. You can use the new Read API to extract printed and handwritten text from images and documents. It uses the latest models and works with text on a variety of surfaces and backgrounds. These include receipts, posters, business cards, letters, and whiteboards. The two OCR APIs support extracting printed text in several languages.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview