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NEW QUESTION: 1
Ein Projektmanager für ein Wartungsprojekt hat einen Vertrag, der jährlich erneuert wird. Das Projekt wurde vor 6 Jahren gestartet. Nach der Vertragsverlängerung in diesem Jahr berichteten die Prüfer, dass diese Version des Vertrags gegen ein neues Gesetz verstößt, das letztes Jahr verabschiedet wurde. Was ist in dieser Situation passiert?
A. Die Rechtsabteilung hat das Gesetz nicht korrekt an alle Mitarbeiter verbreitet.
B. Der Stakeholder-Engagement-Plan wurde nicht korrekt umgesetzt
C. Der Projektmanager verfügt nicht über ausreichende Kenntnisse in dieser rechtlichen Angelegenheit
D. Der Vertrag wurde vom Projektteam nicht angemessen geprüft
Answer: D
NEW QUESTION: 2
Under the indirect method, depreciation expense on fixed assets is recorded on the statement of cash flows as:
A. Cash outflow from investing activities.
B. Not recorded on cash flow statement.
C. Added back to net income as part of cash flows from operations.
Answer: C
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