C1000-065 Exam Dumps : IBM Cognos Analytics Developer V11.1.x

To address the user’s requirement to see only newer entries based on the 'Order Date' column while keeping historical data available in IBM Cognos Analytics V11.1.x, you should apply a filter to the "Order Date" attribute. Here’s how:

Open Data Module: Access the data module containing the table.

Apply Filter:

Filter Creation: Select the "Order Date" column and create a filter. Specify the criteria to include only newer entries, such as dates within the last year or a specific date range.

Save Filter: Save the filter to ensure it applies whenever the table is used in new reports.

Usage:

Report Design: When designing new reports, the filter will automatically apply, showing only the newer data as specified.

Applying a filter on the "Order Date" attribute allows for dynamic control over the data displayed without modifying the original table or creating duplicates.

Drill-through Definition: Drill-throughs in Cognos Analytics allow users to navigate from one report or visualization to another, typically to see more detailed information.

Passing Data Points: Data points can be passed to the target Drill-through provided the data sources have matching values. This ensures continuity and relevance in the data being analyzed.

Targeting Other Dashboards and Reports: Developers can set up Drill-throughs to link to other dashboards or reports, facilitating deeper analysis and better data exploration.

Cognos Documentation: IBM Cognos Analytics V11.1.x documentation provides guidelines on creating and managing Drill-throughs, including passing parameters and targeting various types of reports and dashboards.

When designing Dimensionally Modeled Relational (DMR) structures in Framework Manager, understanding how determinants influence hierarchy levels is crucial. Here is an explanation:

Determinants in Framework Manager: Determinants are used to define the granularity of data and how it is grouped. They are essential in DMR models to ensure correct aggregation and drill behavior.

Hierarchy Levels: The order in which determinants are defined in a query subject influences the hierarchy levels. Higher-order determinants represent higher levels in the hierarchy, while lower-order determinants represent more granular levels.

Configuration: Configure determinants in the properties of a query subject. The sequence of determinants determines how data is aggregated and navigated in reports.

Impact on OLAP Behavior: Properly ordered determinants ensure that measures and dimensions behave correctly, allowing users to drill down and roll up data accurately in reports.