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Question 49/69
You have a reporting requirement to track and report the employee status for employees in your workforce ASO Essbase database. Employee status can change over time. One report requires employees down the rows and employee status across the columns.
What is the best solution to meet the all of the requirements?
What is the best solution to meet the all of the requirements?
Correct Answer: D
Explanation/Reference:
D: An attribute dimension is a special type of dimension that is associated with a standard dimensions.
Use attribute dimensions to report and aggregate data based on characteristics of standard dimensions. In the Sample.Basic database, for example, the Product dimension is associated with the Ounces attribute dimension. Members of the Ounces attribute dimension categorize products based on their size in ounces.
Essbase does not allocate storage for attribute dimension member. Instead, it dynamically calculates the members when the user requests data associated with them.
Attribute dimensions are always sparse dimensions. And you can associate attribute dimensions only with sparse standard dimensions
Incorrect answers:
E: Varying attributes help in providing different perspectives of multiple attributes of a dimension over time.
This is not required here.
F: The complexity of an Alternate hierarchy is not required here.
D: An attribute dimension is a special type of dimension that is associated with a standard dimensions.
Use attribute dimensions to report and aggregate data based on characteristics of standard dimensions. In the Sample.Basic database, for example, the Product dimension is associated with the Ounces attribute dimension. Members of the Ounces attribute dimension categorize products based on their size in ounces.
Essbase does not allocate storage for attribute dimension member. Instead, it dynamically calculates the members when the user requests data associated with them.
Attribute dimensions are always sparse dimensions. And you can associate attribute dimensions only with sparse standard dimensions
Incorrect answers:
E: Varying attributes help in providing different perspectives of multiple attributes of a dimension over time.
This is not required here.
F: The complexity of an Alternate hierarchy is not required here.
- Question List (69q)
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