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NEW QUESTION: 1
Which three statements best describe a Ref Cursor in Forms Builder? (Choose three.)
A. A stored procedure that uses a Ref Cursor can be used only as a query datasource for a data block.
B. A Ref Cursor is used by a stored procedure to return data to a data block.
C. A Ref Cursor enables you to query multiple tables and encapsulate logic in a PL/SQL subprogram.
D. A stored procedure that uses a Ref Cursor can be used only as a DML datasource for a data block.
E. A stored procedure that uses a Ref Cursor can be used as both a query and a DML datasource for a data block.
F. A Ref Cursor is ideal for queries that are dependent only on PL/SQL, and not SQL statements.
Answer: A,B,C
NEW QUESTION: 2
You would like two LDP routers on opposite sides of your network to become neighbors.
Which LDP message is used to form this relationship?
A. extended discovery
B. peer discovery
C. basic discovery
D. remote discovery
Answer: A
NEW QUESTION: 3
You plan to create a Power BI report. You have the schema model shown in the exhibit. (Click the Exhibit button.)
The model has the following relationships:
* Store to District based on DistrictID
* Sales to Store based on LocationID
* Sales to Date based on PeriodID
* Sales to Item based on ItemID
You configure row-level security (RLS) so that the district managers of the stores only see the sales from the stores they manage.
When the district managers view the Store by Items report, they see items for all the stores.
You need to ensure that the district managers can see items for the stores they manage only.
How should you configure the relationship from Sales to Item?
A. Select Assume Referential Integrity.
B. Change the Cardinality to One to one (1:1).
C. Change the Cardinality to One to Many (1:*).
D. Change the Cross filter direction to Both.
Answer: D
Explanation:
Explanation
References: https://powerbi.microsoft.com/en-us/guided-learning/powerbi-admin-rls/
NEW QUESTION: 4
特徴抽出方法を選択する必要があります。
どの方法を使用する必要がありますか？
A. ムードの中央値検定
B. 相互情報
C. 順列機能の重要性
D. ケンドール相関
Answer: D
Explanation:
説明
統計では、一般的にケンドールのタウ係数（ギリシャ文字の後に）と呼ばれるケンドールランク相関係数は、2つの測定された量の間の順序関連を測定するために使用される統計です。
Azure Machine Learning Feature選択のサポートされている方法です。
シナリオ：大都市の不動産価格のデータを示すプロパティデータセットを使用して線形回帰モジュールをトレーニングする場合、モデルで使用する最適な機能を決定する必要があります。機能の重要性プロセスが完了する前後にパフォーマンスを測定するために提供される標準のメトリックを選択できます。複数のトレーニングモデルにわたる機能の分布が一貫していることを確認する必要があります。
参照：
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/feature-selection-modules