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NEW QUESTION: 1
地元のタクシー会社からの履歴データを含むデータセットを分析しています。回帰モデルを作成します。
タクシー旅行の運賃を予測する必要があります。
回帰モデルを正しく評価するには、パフォーマンスメトリックを選択する必要があります。
どの2つの指標を使用できますか？それぞれの正解は完全な解決策を提示します。
注：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. an F 1 score that is low.
B. a Root Mean Square Error value that is tow
C. an R-Squared value close to 0
D. a Root Mean Square Error value that is high
E. an R Squared value dose to 1
F. an F1 score that is high
Answer: A,D

NEW QUESTION: 2
You are called into an opportunity, you would like to get more information on the data skew of the filer. The customer has a supported filer.
What assessment tool would you use to generate this information?
A. Workflow Proflie
B. SupportIQ
C. Workload Profile
D. InsightIQ
Answer: C

NEW QUESTION: 3
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You are implementing a Microsoft SQL Server data warehouse with a multi-dimensional data model. You have a fact table that includes sales data for all products. The model includes a dimension named Geography that stores all geographies. You create a dimension that has a foreign key and provides the ability to analyze sales by the following sales channels: Internet or retail store.
You need to update the data model to allow business users to analyze Internet sales by geography without changing the overall structure of the data model.
What should you do?
A. fact table
B. conformed dimension
C. star schema
D. snowflake schema
E. non-additive measure
F. dimension table reference relationship
G. semi-additive measure
H. slowly changing dimension (SCD)
Answer: H