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NEW QUESTION: 1
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、記載された目標を達成する可能性のある独自のソリューションが含まれています。一部の質問セットには複数の正しい解決策がある場合もあれば、正しい解決策がない場合もあります。
このセクションの質問に回答すると、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。
次の変数に応じて、学生のアートワークの価格を予測するモデルを作成しています：学生の教育期間、学位タイプ、および芸術形態。
まず、線形回帰モデルを作成します。
線形回帰モデルを評価する必要があります。
解決策：次のメトリックを使用します：平均絶対誤差、ルート平均絶対誤差、相対絶対誤差、相対二乗誤差、および決定係数。
ソリューションは目標を達成していますか？
A. いいえ
B. はい
Answer: B
Explanation:
Explanation
The following metrics are reported for evaluating regression models. When you compare models, they are ranked by the metric you select for evaluation.
Mean absolute error (MAE) measures how close the predictions are to the actual outcomes; thus, a lower score is better.
Root mean squared error (RMSE) creates a single value that summarizes the error in the model. By squaring the difference, the metric disregards the difference between over-prediction and under-prediction.
Relative absolute error (RAE) is the relative absolute difference between expected and actual values; relative because the mean difference is divided by the arithmetic mean.
Relative squared error (RSE) similarly normalizes the total squared error of the predicted values by dividing by the total squared error of the actual values.
Mean Zero One Error (MZOE) indicates whether the prediction was correct or not. In other words:
ZeroOneLoss(x,y) = 1 when x!=y; otherwise 0.
Coefficient of determination, often referred to as R2, represents the predictive power of the model as a value between 0 and 1. Zero means the model is random (explains nothing); 1 means there is a perfect fit. However, caution should be used in interpreting R2 values, as low values can be entirely normal and high values can be suspect.
AUC.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/evaluate-model
NEW QUESTION: 2
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You administer a SQL Server instance at Contoso Ltd.
A new employee named Kim Ralls must be able to read data only from the dbo.order table in the saiesDB database.
You create a SQL login named KimRalls. You then create a SQL user account named KimRalls in saiesDB. The user account is associated with the SQL login.
You need to grant KimRalls the necessary permission or permissions. Your solution must follow the principle of least privilege.
Solution: You perform the following actions:
1. Create a custom database role named orderReader in saiesDB.
2. Grant the select permission on dbo.order to the OrderReader role.
3. Add KimRalls to the OrderReader role.
Does the solution meet the goal?
A. No
B. Yes
Answer: B
NEW QUESTION: 3
ホットスポットの質問
会社は国際的な旅行と予約管理サービスを運営しています。同社はレストラン予約の提供を開始する予定です。
Azure Searchを使用し、次の要件を満たすソリューションを開発する必要があります。
*ユーザーは、名前、説明、場所、料理でレストランを検索できる必要があります。
*ユーザーは、場所、料理、評価、家族の親しみやすさでさらに結果を絞り込むことができる必要があります。
*説明のすべての単語が検索に含まれている必要があります。
レストランクラスにアノテーションを追加する必要があります。
コードセグメントをどのように完成させ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：それぞれの正しい選択は1ポイントの価値があります。
Answer:
Explanation:
Explanation:
Box 1: [IsSearchable.IsFilterable.IsSortable,IsFacetable] Location
Users must be able to search for restaurants by name, description, location, and cuisine. Users must be able to narrow the results further by location, cuisine, rating, and family-friendliness.
Box 2: [IsSearchable.IsFilterable.IsSortable,Required]
Description
Users must be able to search for restaurants by name, description, location, and cuisine.
All words in descriptions must be included in searches.
Box 3: [IsFilterable,IsSortable,IsFaceTable]
Rating
Users must be able to narrow the results further by location, cuisine, rating, and family- friendliness.
Box 4: [IsSearchable.IsFilterable,IsFacetable]
Cuisines
Users must be able to search for restaurants by name, description, location, and cuisine. Users must be able to narrow the results further by location, cuisine, rating, and family-friendliness.
Box 5: [IsFilterable,IsFacetable]
FamilyFriendly
Users must be able to narrow the results further by location, cuisine, rating, and family- friendliness.
References:
https://www.henkboelman.com/azure-search-the-basics/
NEW QUESTION: 4
次のうち、アプリケーションのホワイトリスト登録に役立つアプリケーションファイルとフォルダーの属性の例はどれですか？
A. Filename
B. File size
C. Application store
D. File path
Answer: A,B,D