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NEW QUESTION: 1
You are creating a custom object as described by the following code.

You need to implement the calcArea method.
Which code should you use?

A. Option C
B. Option B
C. Option A
D. Option D
Answer: D
Explanation:
Explanation/Reference:
Explanation:
Need to refer to .this in the calculation.

NEW QUESTION: 2
While executing a RuleApp that has been deployed to the Rule Execution Server it becomes clear that the value of a ruleset output parameter has an unexpected result. It has been determined that the correct version of the RuleApp has been deployed to the Rule Execution Server and that monitoring has been turned on for the ruleset.
How can the application developer determine which rules in the ruleset executed on the Rule Execution Server?
From the Rule Execution Server console:
A. open the RuleApp view, and download the RuleApp archive trace to review the list of rules which have executed for the ruleset.
B. open the Decision Warehouse View and review the related decision trace for the ruleset.
C. open the Diagnostics View and Run Diagnostics on the RuleApp to review a list of rules which have executed for the ruleset.
D. open the ruleset view and review events which were logged on the Execution Unit (XU) used to execute the ruleset.
Answer: C

NEW QUESTION: 3
データセットの構造が一致するように、メタデータの編集モジュールを構成する必要があります。
どの構成オプションを選択する必要がありますか？回答するには、回答領域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:
Box 1: Floating point
Need floating point for Median values.
Scenario: An initial investigation shows that the datasets are identical in structure apart from the MedianValue column. The smaller Paris dataset contains the MedianValue in text format, whereas the larger London dataset contains the MedianValue in numerical format.
Box 2: Unchanged
Note: Select the Categorical option to specify that the values in the selected columns should be treated as categories.
For example, you might have a column that contains the numbers 0,1 and 2, but know that the numbers actually mean "Smoker", "Non smoker" and "Unknown". In that case, by flagging the column as categorical you can ensure that the values are not used in numeric calculations, only to group data.