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NEW QUESTION: 1
Examine the structure of the EMP table:
Name Null? Type
------------------ -------------- ---------------------
EMPNO NOT NULL NUMBER (4)
ENAME VARCHAR2 (10)
SAL NUMBER (7, 2)
Examine this code:
Which code should be inserted to display the collection contents?
A. FOR indx IN -1 .. 1_list.LIMIT LOOP
DBMS_OUTPUT.PUT_LINE (indx | | ‘ ’ | | 1_list (indx) );
END LOOP;
B. 1_indx := 1_list.FIRST;
WHILE (1_indx IS NOT NULL) LOOP
DBMS_OUTPUT.PUT_LINE (1_indx || ‘ ’ || 1_list (1_indx));
1_indx := 1_emp.NEXT (1_indx);
END LOOP;
C. FOR indx IN 1_list. COUNT .. -1 LOOP
DBMS_OUTPUT.PUT_LINE (indx | | ‘ ’ | | 1_list (indx));
END LOOP;
D. FOR indx IN 1_list.FIRST . . 1_list.LAST LOOP
DBMS_OUTPUT.PUT_LINE (indx | | ‘ ’ | | 1_list (indx));
END LOOP;
Answer: A
NEW QUESTION: 2
Azure Machine Learning Studioを使用してデータセットを分析しています。
各機能列のp値と一意の値カウントを含む統計サマリーを生成する必要があります。
ユーザーはどちらのモジュールを使用できますか？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. データの要約
B. 線形相関の計算
C. インジケーター値に変換
D. Pythonスクリプトの実行
E. カウントテーブルのエクスポート
Answer: B,E
Explanation:
説明
Export Count Tableモジュールは、Build Count Table（非推奨）およびCount Featurizer（非推奨）モジュールを使用する実験との後方互換性のために提供されています。
E：データの要約統計は、完全なデータセットの特性を理解する場合に役立ちます。たとえば、次のことを知る必要がある場合があります。
各列にはいくつの欠損値がありますか？
機能列には一意の値がいくつありますか？
各列の平均と標準偏差は？
モジュールは各列の重要なスコアを計算し、入力として提供された各変数（データ列）の要約統計の行を返します。
参照：
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/export-count-table
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/summarize-data
NEW QUESTION: 3
Wählen Sie für jede der folgenden Aussagen Ja aus, wenn die Aussage wahr ist. Andernfalls wählen Sie Nein. HINWEIS: Jede richtige Auswahl ist einen Punkt wert.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/china/overview-operations
https://docs.microsoft.com/en-us/azure/azure-government/documentation-government-welcome