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NEW QUESTION: 1
Which four are primitive integer types in Java? (Choose four.)
A. long
B. nibble
C. short
D. double
E. float
F. byte
G. int
Answer: A,C,F,G

NEW QUESTION: 2
データインプレース変換が完了した後、新しいストレージプロセッサでどのコンポーネントを交換する必要がありますか？
A. L / OモジュールとDIMM
B. CNA SFPおよびI / Oモジュール
C. CNA SFPおよびM2デバイス
D. DIMMおよびM 2デバイス
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。実験にパーティションとサンプルモジュールを追加します。
モジュールを構成する必要があります。次の要件を満たしている必要があります。
*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：それぞれの正しい選択は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 data. 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