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NEW QUESTION: 1
A two-year program is coming to an end. Many of the initial governance board members have moved from their current posts or left the company. Several new members have joined, but have a short association with the program, which changes the board's expectations and focus. During the final phase gate review, some board members are uncertain of their roles and expectations in the process.
How should the program manager handle this situation?
A. Review the strategic plan and benefits management plan with the board
B. Prepare a program change request utilizing new board member input
C. Review the final program outcome with the program sponsor
D. Present the final program status, costs, and schedule reports
Answer: A

NEW QUESTION: 2
What is the youngest age at which children may legally work, under certain conditions, as stipulated by FLSA?
A. 0
B. 1
C. 2
D. 3
Answer: A
Explanation:
Explanation: Children as young as 14 may work, according to FLSA, but there are conditions that apply to hiring children this age. Children of 13 may not be legally hired by most businesses. Children of 15 and 16 are beyond the minimum age.

NEW QUESTION: 3
You need to recommend a solution for the planned changes to the customer classifications.
What should you recommend? (Each correct answer presents part of the solution. Choose all that apply.)
A. Implement change data capture.
B. Add a row to the Customers table each time a classification changes.
C. Add columns for each classification to the Customers table.
D. Add a table to track any changes made to the classification of each customer.
E. Add a column to the Classifications table to track the status of each classification.
Answer: D,E

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