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NEW QUESTION: 1
あなたはワイナリーのデータサイエンティストとして雇われています。以前のデータサイエンティストはAzureMachineLearningを使用していました。
モデルを確認し、各モデルがどのように決定を下すかを説明する必要があります。
どの説明モジュールを使用する必要がありますか？回答するには、回答領域で適切なオプションを選択します。
注：正しい選択はそれぞれ1ポイントの価値があります。

Answer:
Explanation:

Explanation

Meta explainers automatically select a suitable direct explainer and generate the best explanation info based on the given model and data sets. The meta explainers leverage all the libraries (SHAP, LIME, Mimic, etc.) that we have integrated or developed. The following are the meta explainers available in the SDK:
Tabular Explainer: Used with tabular datasets.
Text Explainer: Used with text datasets.
Image Explainer: Used with image datasets.
Box 1: Tabular
Box 2: Text
Box 3: Image
Reference:
https://medium.com/microsoftazure/automated-and-interpretable-machine-learning-d07975741298

NEW QUESTION: 2
Which gesture reveals the app bar?
A. swipe from the top or bottom edge of the screen
B. swipe from the left edge of the screen
C. pinch
D. press and hold
Answer: A

NEW QUESTION: 3
Which statement is an appropriate entry for the Lessons Log?
A. This is the first time that the Ministry of Food Hygiene (MFH) has been involved in outsourcing.
B. Only the Information Technology Division and Facilities Division will be outsourced.
C. The feasibility study estimated that the outsourcing project would take two years to complete.
D. Based on feedback from other government departments, the Ministry of Trade and Industry has provided the names of two outsourcing companies that are unreliable and should not be included as potential service providers.
Answer: D

NEW QUESTION: 4
What type of items can be included in a service blueprint?
A. Machine or multi-machine blueprints
B. A bash script
C. vCenter Orchestrator workflows
D. Advanced Service Designer advanced services
Answer: C

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