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NEW QUESTION: 1
In which of the following states do BGP peers refuse to initiate or accept connection requests?
A. Active
B. Established
C. Idle
D. OpenSent
Answer: C
NEW QUESTION: 2
Answer:
Explanation:
Explanation
NEW QUESTION: 3
A successful Employee involvement program includes which of the following?
I. Common understanding of the employee's role in the plant
II. Management clearly defining the problems to be solved
III. Provide teams with authority to change work process
IV. Developing a rewards system
A. I, III, & IV Only
B. II, III, & IV Only
C. I, II, & IV Only
D. I, II, & III Only
Answer: A
Explanation:
A successful Employee involvement program includes which of the following?
1 . Common understanding of the employee's role in the plant
2 . Provide teams with authority to change work process
3 . Developing a rewards system
In an employee involvement program should not have management defining the problems to be solved
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