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NEW QUESTION: 1
Which product would be updated to show that a decision has been made on an off-specification which has now been closed?
A. Quality Register
B. Issue Report
C. Daily Log
D. Risk Register
Answer: B

NEW QUESTION: 2
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You have a table named AuditTrail that tracks modifications to data in other tables. The
AuditTrail table is updated by many processes. Data input into AuditTrail may contain improperly formatted date time values. You implement a process that retrieves data from the various columns in AuditTrail, but sometimes the process throws an error when it is unable to convert the data into valid date time values.
You need to convert the data into a valid date time value using the en-US format culture code. If the conversion fails, a null value must be returned in the column output. The conversion process must not throw an error.
What should you implement?
A. a view
B. the TRY_CONVERT function
C. a scalar function
D. the COALESCE function
E. a table-valued function
F. the TRY_PARSE function
G. a stored procedure
H. the ISNULL function
Answer: B
Explanation:
A TRY_CONVERT function returns a value cast to the specified data type if the cast succeeds; otherwise, returns null.
References: https://msdn.microsoft.com/en-us/library/hh230993.aspx

NEW QUESTION: 3
モデルトレーニング要件に合わせて、順列機能の重要度モジュールを構成する必要があります。
あなたは何をするべきか？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には1ポイントの価値があります。

Answer:
Explanation:

Explanation:
Box 1: 500
For Random seed, type a value to use as seed for randomization. If you specify 0 (the default), a number is generated based on the system clock.
A seed value is optional, but you should provide a value if you want reproducibility across runs of the same experiment.
Here we must replicate the findings.
Box 2: Mean Absolute Error
Scenario: Given a trained model and a test dataset, you must compute the Permutation Feature Importance scores of feature variables. You need to set up the Permutation Feature Importance module to select the correct metric to investigate the model's accuracy and replicate the findings.
Regression. Choose one of the following: Precision, Recall, Mean Absolute Error , Root Mean Squared Error, Relative Absolute Error, Relative Squared Error, Coefficient of Determination References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/permutation-feature-importance