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NEW QUESTION: 1
You must calculate the total value of all orders, including their discounts, for reporting purposes. Currently these details are found in different tables.
Use the sum function to calculate the total value of orders in the Order_Details table.
How to create a new batch job called Alpha_Order_Sum_Job with a data flow Alpha_Order_Sum_DF .
A. Choose the Where tab or the From tab.
B. In the Alpha_Order_Sum_Job workspace, from the toolbar, choose the Data Flow icon.
C. Choose the Propose Join button.
D. the Project area , right click your Omega project and choose New batch job.
E. Enter the job name Alpha_Order_Sum_Job .
Answer: B,D,E

NEW QUESTION: 2

A. Option B
B. Option A
C. Option C
D. Option D
Answer: D
Explanation:
Explanation
AWS OpsWorks is a configuration management service that helps you configure and operate applications of all shapes and sizes using Chef. You can define the application's architecture and the specification of each component including package installation, software configuration and resources such as storage. Start from templates for common technologies like application servers and databases or build your own to perform any task that can be scripted. AWS OpsWorks includes automation to scale your application based on time or load and dynamic configuration to orchestrate changes as your environment scales.
For more information on Opswork, please visit the link:
* https://aws.amazon.com/opsworks/

NEW QUESTION: 3
注：この質問は、同じシナリオを提示する一連の質問の一部です。シリーズの各質問には、述べられた目標を達成する可能性のある独自の解決策が含まれています。一部の質問セットには複数の正しい解決策がある場合がありますが、他の質問セットには正しい解決策がない場合があります。
このセクションの質問に回答した後は、その質問に戻ることはできません。その結果、これらの質問はレビュー画面に表示されません。
ロジスティック回帰アルゴリズムを使用して分類モデルをトレーニングします。
各機能の重要度を、全体的なグローバル相対重要度値として、および特定の予測セットのローカル重要度の尺度として計算することにより、モデルの予測を説明できる必要があります。
必要なグローバルおよびローカルの特徴重要度値を取得するために使用できる説明を作成する必要があります。
解決策：TabularExplainerを作成します。
ソリューションは目標を達成していますか？
A. いいえ
代わりに、順列特徴重要性説明（PFI）を使用してください。
注1：

注2：順列特徴重要性の説明（PFI）：順列特徴重要性は、分類モデルと回帰モデルを説明するために使用される手法です。大まかに言えば、それが機能する方法は、データセット全体に対して一度に1つの機能でデータをランダムにシャッフルし、対象のパフォーマンスメトリックがどの程度変化するかを計算することです。変更が大きいほど、その機能はより重要になります。 PFIは、基礎となるモデルの全体的な動作を説明できますが、個々の予測を説明することはできません。
B. はい
Answer: A
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-machine-learning-interpretability