IBM C1000-065 Exam With Confidence Using Practice Dumps

To create a Layout Component Reference in a report in IBM Cognos Analytics V11.1.x, you need to provide the "Name" property. Here are the steps:

Define Component: Identify the component you want to reference in your report layout.

Set Name Property: Assign a unique name to the component in its properties. This name will be used to reference the component.

Create Layout Component Reference: In the report where you want to use the component, add a Layout Component Reference and specify the name of the original component.

Reference the Component: The referenced component will be displayed in the new location, allowing you to reuse layout elements across multiple reports.

Using the "Name" property ensures that components can be easily referenced and maintained.

Supported Data Sources: IBM Cognos Analytics supports various data sources for creating dashboards, including Framework Manager Packages, OLAP Packages, Data Modules, Data sets, and CSV files.

Flexibility: This wide range of supported data sources provides flexibility for users to integrate different types of data into their dashboards.

Data Source Addition: Users can easily add and manage these data sources within the dashboard creation interface.

Reference: The IBM Cognos Analytics V11.1.x documentation lists and explains the types of data sources that can be used when creating dashboards, confirming the inclusion of Framework Manager Packages, OLAP Packages, Data Modules, Data sets, and CSV files.

In the Exploration 'Data relationships' view in IBM Cognos Analytics, the thickness of the lines between data items represents the statistical strength of the relationship. Here’s a detailed explanation:

Exploration View: The Exploration view is used to analyze and visualize data relationships in a more interactive manner.

Data Relationships: The lines between data items indicate relationships or correlations between different data points.

Line Thickness: The thickness of these lines visually represents the strength of these relationships. Thicker lines indicate stronger statistical relationships.

Statistical Analysis: This helps users quickly identify significant relationships and patterns in the data, aiding in deeper analysis and better decision-making.