Cognos Analytics Data Set: A data set in Cognos Analytics is an extract from a package or data module.
Storage and Refresh: These extracts are compressed, stored locally, and can be refreshed either periodically or manually, depending on the requirements.
Use Case: Data sets are used to improve performance by reducing the need for repeated database queries and enabling offline access to the data.
Reference: IBM Cognos Analytics V11.1.x documentation details the nature of data sets, highlighting their extraction process, storage, and refresh capabilities for enhanced performance and usability.
Question 2
Which of the following is a reason to use a Conditional block on a report?
Options:
A.
to allow users to select values that will filter the report for certain data types
B.
to allow a report to run during certain blocks of time based on conditions set by the user
C.
to show or hide report objects based on prompt selections a user made at run time
D.
to block defined groups of users from accessing a folder of reports based on a condition
Answer:
C
Explanation:
Conditional Block: This feature allows for dynamic content within reports based on user interactions and selections.
Prompt Selections: By using a conditional block, report developers can control the visibility of report objects based on the prompt values selected by the user at runtime.
Use Case: This is useful for creating reports that adapt to user inputs, providing a more tailored and relevant data presentation.
Reference: IBM Cognos Analytics V11.1.x documentation details how to implement conditional blocks to show or hide report objects dynamically based on user inputs.
Question 3
Which technique is most likely to improve query performance?
Options:
A.
Set the auto-sort property to maximum.
B.
Set the detail aggregation to 'Calculated' for measures.
C.
Avoid functions in filters.
D.
Add more joins between queries.
Answer:
C
Explanation:
Query Performance: Enhancing query performance involves various optimization techniques.
Avoid Functions in Filters: Using functions in filters can lead to slower query performance because functions often require additional computation and can prevent the database from using indexes efficiently.
Best Practices: It is recommended to simplify filters and avoid complex functions to ensure queries run faster.
Reference: IBM Cognos Analytics V11.1.x documentation suggests avoiding the use of functions in filters as a best practice for improving query performance.