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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
ネイティブSANCopyインポート機能を使用する場合、どのDell EMC Unity設計の考慮事項を考慮する必要がありますか？
A. 各ストレージプロセッサからのiSCSIポートが必要です
B. SANCopy予約済みLUNプールLUNに容量を割り当てる必要があります
C. データのホットアクセスにはPowerPath Multipathingソフトウェアが必要です
D. フェールオーバーモード4はすべてのUnity LUNで有効にする必要があります
Answer: B
NEW QUESTION: 3
개발자는 두 번째 계정의 리소스에 임시 액세스해야 합니다.
이것을 달성하기 위한 가장 안전한 방법은 무엇입니까?
A. 신뢰를 설정하고 두 번째 계정에 대한 SSH 키를 IAM 사용자에 추가하십시오.
B. 두 번째 계정에 대한 전용 IAM 액세스 키를 만들고 메일로 보내십시오.
C. 교차 계정 액세스 역할을 만들고 sts : AssumeRole API를 사용하여 수명이 짧은 자격 증명을 가져옵니다.
D. Amazon Cognito 사용자 풀을 사용하여 두 번째 계정에 대한 수명이 짧은 자격 증명을 가져옵니다.
Answer: C
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