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NEW QUESTION: 1
バックアップ構成をカスタマイズするために実行できるタスクは2つありますか。
A. /home/oracle/bkup/dbcfg.specファイルを編集して、バックアップするデータベース構成ファイルのリストを管理します。
B. dbms_schedulerを使って自動バックアップをスケジュールします。
C. /home/oracle/bkup/dbcfg.specファイルを編集して、バックアップするシステムファイルとフォルダのリストを維持します。
D. bkup_apiユーティリティをoracleユーザーとして使用し、保存期間を設定します。
Answer: A,D

NEW QUESTION: 2

A. Option D
B. Option A
C. Option B
D. Option C
Answer: B

NEW QUESTION: 3
2,000行を含むデータセットがあります。 Azure Learning Studioを使用して、機械学習分類モデルを構築しています。パーティションとサンプルモジュールを実験に追加します。
モジュールを構成する必要があります。次の要件を満たす必要があります。
データをサブセットに分割する
ラウンドロビン方式を使用して、行をフォールドに割り当てます
データセットの行を再利用できるようにする
モジュール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：正しい選択はそれぞれ1ポイントの価値があります。


Answer:
Explanation:

Explanation:
Use the Split data into partitions option when you want to divide the dataset into subsets of the dat a. This option is also useful when you want to create a custom number of folds for cross-validation, or to split rows into several groups.
Add the Partition and Sample module to your experiment in Studio (classic), and connect the dataset.
For Partition or sample mode, select Assign to Folds.
Use replacement in the partitioning: Select this option if you want the sampled row to be put back into the pool of rows for potential reuse. As a result, the same row might be assigned to several folds.
If you do not use replacement (the default option), the sampled row is not put back into the pool of rows for potential reuse. As a result, each row can be assigned to only one fold.
Randomized split: Select this option if you want rows to be randomly assigned to folds.
If you do not select this option, rows are assigned to folds using the round-robin method.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/partition-and-sample