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NEW QUESTION: 1
All projects use only a single simplified workflow which has three statuses (Open, In Progress, Closed) and all global transitions You need to find all issues that were in the Closedstatus at some point in their lifecycle Select the correct JQL query
A. status WAS Closed
B. status = Closed OR (status WAS Closed AND status = Open)
C. status CHANGED TO Open
D. status CHANGED FROM '"In Progress" TO Closed
Answer: A

NEW QUESTION: 2
기계 학습 전문가는 대기업과 협력하여 제품 내에서 기계 학습을 활용합니다. 이 회사는 향후 6 개월 이내에 고객이 이탈 할 수 있는 고객을 기준으로 고객을 카테고리로 그룹화하려고 합니다. 회사는 전문가가 사용할 수 있는 데이터를 표시했습니다.
전문가가 이 작업을 수행하기 위해 어떤 기계 학습 모델 유형을 사용해야 합니까?
A. 분류
B. 강화 학습
C. 선형 회귀
D. 클러스터링
Answer: A
Explanation:
Explanation
The goal of classification is to determine to which class or category a data point (customer in our case) belongs to. For classification problems, data scientists would use historical data with predefined target variables AKA labels (churner/non-churner) - answers that need to be predicted - to train an algorithm. With classification, businesses can answer the following questions:
* Will this customer churn or not?
* Will a customer renew their subscription?
* Will a user downgrade a pricing plan?
* Are there any signs of unusual customer behavior?

NEW QUESTION: 3
あなたの会社は、次のタスクを実行するアプリを構築することを計画しています。
*ユーザーの写真を有名人の写真に一致させます。
*映画のシーンにタグを付け、タグを使用して映画のシーンを検索します。
タスクを実行するには、どのAzure Cognitive Services APIを使用する必要があるかを推奨する必要があります。
各タスクに推奨するCognitive Services APIはどれですか？回答するには、回答エリアで適切なオプションを選択します。
注：それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:

Explanation:
Box 1: Computer Vision
Azure's Computer Vision service provides developers with access to advanced algorithms that process images and return information.
Computer Vision Detect Faces: Detect faces in an image and provide information about each detected face. Computer Vision returns the coordinates, rectangle, gender, and age for each detected face.
Computer Vision provides a subset of the Face service functionality. You can use the Face service for more detailed analysis, such as facial identification and pose detection.
Box 2: Bing Video Search
Search for videos and get comprehensive results
With Bing Video Search API v7, find videos across the web. Results provide useful metadata including creator, encoding format, video length, view count, improved & simplified paging, and more.
Incorrect Answers:
Video Indexer:
Automatically extract metadata-such as spoken words, written text, faces, speakers, celebrities, emotions, topics, brands, and scenes-from video and audio files.
Custom Vision:
Easily customize your own state-of-the-art computer vision models for your unique use case. Just upload a few labeled images and let Custom Vision Service do the hard work. With just one click, you can export trained models to be run on device or as Docker containers.
References:
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/home
https://azure.microsoft.com/en-us/services/cognitive-services/bing-video-search-api/

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