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NEW QUESTION: 1
A customer would like a daily point-in-time copy of their database and retain each copy for two weeks. The customer would like to maximize their host write performance on the production server when the pairs are suspended.
Which product would satisfy the requirement?
A. ShadowImage
B. Hitachi Dynamic Replicator
C. Copy-on-Write
D. Hitachi Thin Image
Answer: D
NEW QUESTION: 2
Out-of-the-box, the consumer support portal (/csp) CANNOT be used for which one of the following actions?
A. Live chat
B. Consumer self-registration
C. Viewing knowledge articles
D. Open an incident
Answer: B
NEW QUESTION: 3
Azure Machine Learning Studioで多重線形回帰モデルを作成しています。
いくつかの独立変数は高度に相関しています。
すべてのデータに対して効果的な特徴エンジニアリングを行うための適切な方法を選択する必要があります。
どの3つのアクションを順番に実行する必要がありますか？回答するには、適切なアクションをアクションのリストから回答領域に移動し、正しい順序に並べます。
Answer:
Explanation:
Explanation
Step 1: Use the Filter Based Feature Selection module
Filter Based Feature Selection identifies the features in a dataset with the greatest predictive power.
The module outputs a dataset that contains the best feature columns, as ranked by predictive power. It also outputs the names of the features and their scores from the selected metric.
Step 2: Build a counting transform
A counting transform creates a transformation that turns count tables into features, so that you can apply the transformation to multiple datasets.
Step 3: Test the hypothesis using t-Test
References:
https://docs.microsoft.com/bs-latn-ba/azure/machine-learning/studio-module-reference/filter-based-feature-selec
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/build-counting-transform