IBM Cognos TM1 10.1 Developer
Exam Code: C2020-702
Exam Name: IBM Cognos TM1 10.1 Developer
The logging parameter within \}CubeProperties is designated by a “Yes” or “No” for each cube. What does this define?
A. Data changes to the TM1 cubes logged into the tm1s.log file
Which three are typically stored within a TM1 control object? (Choose three.)
A. A list of TM1 users
B. TM1 system errors
C. Data required by the TM1 server to perform a driver-based calculation
D. TM1 object-level security permissions
E. Statistical performance data about the TM1 server
Click the Exhibit button.
Referring to the entries in the tm1server.log shown in the exhibit, which statement is correct?
A. The product dimension has been updated.
B. The process Update_Product_Dimension has not created an error log.
C. The process Update_Product_Dimension has no parameters.
D. The chore Scheduledjmport has completed.
What are the elements of a rule?
A. Area Definition, Qualifier, Formula, Terminator, and Sequence Indicator
B. Area Definition, Qualifier, Formula, and Priority Flag
C. Area Definition, Qualifier, Formula, and Terminator
D. Area Definition, Formula, Terminator, and Priority Flag
You want to improve one TM1 cube by adding Skipcheck and Feeder statements to a Rules file.
Which statement is correct?
A. The addition of rule-calculated cells to a cube will cause reduced consumption of RAM.
B. The data integrity of consolidated cells will improve.
C. The performance of views containing rule-calculated cells will improve.
D. Cross cube rule statements will be no longer be ignored.
Cross-Cube Feeder statements will result in a Cube Dependency relationship between the Dependent Cube (containing the feeder) and the Base Cube (the target cube of the Feeder from the Dependent Cube) if the Feeding cells contain data at Server startup or if initially null at server startup, the feeding cells are subsequently updated during the server session. Which statement describes the relationship between the cubes having the Cube Dependency relationship?
A. Cell value updates to the Dependent Cube will invalidate the cache of the Base Cube.
B. Cell value updates to the Base Cube will invalidate the cache of the Dependent Cube.
C. Cell value updates to the Dependent Cube will invalidate the Cube Dependency.
D. Cell value updates to the Base Cube will invalidate the Cube Dependency.
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