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NEW QUESTION: 1
展示を参照してください。

ショーとしてSSL VPNを実装しました。セキュアゲートウェイR1とCisco Secure ACSの間でどのタイプの通信が行われますか？
A. ポート転送
B. HTTPプロキシ
C. ポリシー
D. AAA
Answer: D

NEW QUESTION: 2
A company is looking to donate a collection of old PCs that are no longer needed. Which of the following data destruction methods would be MOST secure for highly sensitive information?
A. Simple 1-pass zero overwrite
B. High level format 10 times
C. Low level 3-pass random wipe
D. Low level 7-pass random wipe
Answer: D
Explanation:
Reference:http://superuser.com/questions/215852/is-using-multiple-passes-for-wiping-a-diskreally-necessary

NEW QUESTION: 3
What is entered in the destination group account when setting the AR/AP intercompany elimination business rule with the automatic adjustment business rules?
Please choose the correct answer.
Response:
A. Same value as in the destination minority account
B. Intercompany accounts receivable account
C. Intercompany accounts payable account
D. PLUG account
Answer: D

NEW QUESTION: 4
テスト要件に従ってデータを分割する方法を特定する必要があります。
どのプロパティを選択する必要がありますか？ 回答するには、回答エリア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:
Scenario: Testing
You must produce multiple partitions of a dataset based on sampling using the Partition and Sample module in Azure Machine Learning Studio.
Box 1: Assign to folds
Use Assign to folds 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.
Not Head: Use Head mode to get only the first n rows. This option is useful if you want to test a pipeline on a small number of rows, and don't need the data to be balanced or sampled in any way.
Not Sampling: The Sampling option supports simple random sampling or stratified random sampling. This is useful if you want to create a smaller representative sample dataset for testing.
Box 2: Partition evenly
Specify the partitioner method: Indicate how you want data to be apportioned to each partition, using these options:
* Partition evenly: Use this option to place an equal number of rows in each partition. To specify the number of output partitions, type a whole number in the Specify number of folds to split evenly into text box.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/partition-and-sample