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NEW QUESTION: 1
Part of a Series
You are designing a SQL Server Analysis Services (SSAS) cube. You need to create a measure to count unique customers. What should you do?
A. Add a hidden measure that uses the Sum aggregate function. Add a calculated measure aggregating the measure along the time dimension.
B. Create a dimension. Then add a cube dimension and link it several times to the measure group.
C. Use role playing dimensions.
D. Add a measure group that has one measure that uses the DistinctCount aggregate function.
E. Add a measure that uses the Count aggregate function to an existing measure group.
F. Create a dimension with one attribute hierarchy. Set the IsAggregatable property to False and then set the DefauItMember property. Use a many-to-many relationship to link the dimension to the measure group.
G. Create a dimension with one attribute hierarchy. Set the IsAggregatable property to False and then set the DefauItMember property. Use a regular relationship between the dimension and measure group.
H. Add a measure that uses the DistinctCount aggregate function to an existing measure group.
I. Add a calculated measure based on an expression that counts members filtered by the Exists and NonEmpty functions.
J. Create a dimension with one attribute hierarchy. Set the ValueColumn property, set the IsAggregatable property to False, and then set the DefauItMember property. Configure the cube dimension so that it does not have a relationship with the measure group. Add a calculated measure that uses the MemberValue attribute property.
K. Use the Business Intelligence Wizard to define dimension intelligence.
L. Create a dimension. Create regular relationships between the cube dimension and the measure group. Configure the relationships to use different dimension attributes.
M. Create several dimensions. Add each dimension to the cube.
N. Add a measure that uses the LastNonEmpty aggregate function. Use a regular relationship between the time dimension and the measure group.
O. Create a new named calculation in the data source view to calculate a rolling sum. Add a measure that uses the Max aggregate function based on the named calculation.
Answer: D
NEW QUESTION: 2
Routine tasks, which have few exceptions and problems that are easy to analyze, are conducive to:
A. Organic structures that emphasize adaptability and flexibility to changing circumstances.
B. Formalized structure, in which procedures manuals and job descriptions are common.
C. Decentralized decision making, in which decisions are pushed downward in the organization.
D. High degrees of job satisfaction on the part of the employees performing them.
Answer: B
Explanation:
Technology has been viewed in terms of two dimensions:task variability and problem analyzability, or the exceptions encountered in work and the search procedures for responding to the exceptions, respectively. Routine tasks have few exceptions, and the search for solutions is well defined. Because routine tasks change little overtime, they are well suited to a mechanistic structure. One characteristic of such a structure is high formalization.
NEW QUESTION: 3
Refer to the exhibit.
Which Cisco Prime Collaboration capabilities are shown?
A. Real-time monitoring and alerts for video endpoint faults
B. End-to-end network path troubleshooting
C. Endpoint and system inventory reporting
D. Dashboard view of overall voice and video network health
E. Proactive monitoring and alerts for video endpoint faults
Answer: D