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NEW QUESTION: 1
Your customer uses the region hierarchy and buyer category assignments pictured in the screenshot below:
A. User C (California)
B. User A (North Amterica)
C. User D (Los Angeles Metro)
D. User B (United Staats)
Answer: A
NEW QUESTION: 2
イベント中のコール数を推定する回帰モデルを構築しています。
特徴値がポアソン回帰モデルを構築する条件を満たしているかどうかを判断する必要があります。
機能セットに含める必要がある2つの条件はどれですか?私は正しい答えが解決策の一部を提示します。注意:
それぞれの正しい選択には1ポイントの価値があります。
A. ラベルデータは正でも負でもかまいませんが、
B. ラベルデータは負の値でなければなりません。
C. ラベルデータは正の値である必要があります
D. ラベルデータは非離散でなければなりません。
E. データは整数でなければなりません。
Answer: C,E
Explanation:
Explanation
Poisson regression is intended for use in regression models that are used to predict numeric values, typically counts. Therefore, you should use this module to create your regression model only if the values you are trying to predict fit the following conditions:
* The response variable has a Poisson distribution.
* Counts cannot be negative. The method will fail outright if you attempt to use it with negative labels.
* A Poisson distribution is a discrete distribution; therefore, it is not meaningful to use this method with non-whole numbers.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/poisson-regression
NEW QUESTION: 3
Einsteinのコンサルタントが、レビューを経たダッシュボードを作成しました。このプロセスでいくつかのグラフが追加および削除されました。これで、ダッシュボードの生産が承認されました。
ダッシュボードをリリースする前に、どのベストプラクティスを実行する必要がありますか?
A. ダッシュボードのパフォーマンスを確保するために、冗長な手順を削除します。
B. 新しいチャートに条件付き書式を適用します。
C. すべてのステップの名前を、定義された命名規則に対応するように変更します。
D. すべてのラベルと値が使いやすいようにXMDを変更します。
Answer: A
Explanation:
Explanation
https://help.salesforce.com/articleView?id=bi_dashboards_inspector.htm&type=5
NEW QUESTION: 4
Conformance is how well a product and its components meet applicable standards.
According to the robust quality concept,
A. Units are acceptable if their characteristics lie within an acceptable range of values.
B. A certain percentage of defective units is acceptable.
C. Every unit should reach a target value.
D. The goal is for all units to be within specifications.
Answer: C
Explanation:
Conformance is how well a product and its components meet applicable standards. The traditional view is that conforming products are those with characteristics that lie within an acceptable specified range of values that includes a target value. This view also regarded a certain percentage of defective nonconforming) units as acceptable. The traditional view was superseded by the zero-defects approach that sought to eliminate all nonconforming output.
An extension of this approach is the robust quality concept. Its goal is to reach the target value in every case. The reason is that hidden quality costs occur when output varies from the target even though the units are within specifications.
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