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NEW QUESTION: 1
Ihr Kunde führt am letzten Tag des Monats Pre-Closing-Aktivitäten durch. Welche Aktivitäten werden normalerweise während des Vorabschlusses ausgeführt?
Es gibt 3 richtige Antworten auf diese Frage.
A. Erstellen Sie das Asset-Verlaufsblatt für die Asset-Buchhaltung
B. Forderungsausfälle für Forderungen bearbeiten.
C. Buchen Sie wiederkehrende Einträge für das Hauptbuch.
D. Führen Sie eine Fremdwährungsbewertung für Verbindlichkeiten durch.
Answer: B,C

NEW QUESTION: 2
NO: 212
If you want to switch content from a nonpartitioned table to a partition of a partitioned table, what conditions must the nonpartitioned table meet? (Choose all that apply.)
A. It must have the same constraints as the partitioned table.
B. It must have the same indexes as the partitioned table.
C. It must have a check constraint on the partitioning column that guarantees that all of the data goes to exactly one partition of the partitioned table.
D. It must have the same compression as the partitioned table.
E. It must be in a special PartitionedTables schema.
Answer: A,B,C,D
Explanation:
Explanation
References: https://technet.microsoft.com/en-us/library/ms191160(v=sql.105).aspx

NEW QUESTION: 3
What should an administrator do to successfully upgrade an IBM Security QRadar system from an older
A. Verify the upgrade path, and review the software, hardware and high availability requirements.
B. Review the software, hardware and high availability requirements, and consider to update the firmware on IBM Security QRadar appliances.
C. Review the release notes and review the architecture.
D. Verify the upgrade path and update the QRadar apps.
Answer: A
Explanation:
Reference:
https://www.ibm.com/support/knowledgecenter/SS42VS_7.3.2/com.ibm.qradar.doc/ b_qradar_upgrade.pdf (9)

NEW QUESTION: 4
実験の要件とデータセットに基づいて、機能ベースの機能選択モジュールを構成する必要があります。
モジュールのプロパティをどのように構成する必要がありますか？回答するには、回答領域のダイアログボックス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には1ポイントの価値があります。

Answer:
Explanation:

Explanation:
Box 1: Mutual Information.
The mutual information score is particularly useful in feature selection because it maximizes the mutual information between the joint distribution and target variables in datasets with many dimensions.
Box 2: MedianValue
MedianValue is the feature column, , it is the predictor of the dataset.
Scenario: The MedianValue and AvgRoomsinHouse columns both hold data in numeric format. You need to select a feature selection algorithm to analyze the relationship between the two columns in more detail.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/filter-based-feature-selection