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

Creating an information panel to be displayed in the foyer of an office can be effectively accomplished using the Story feature in Cognos Analytics. Here’s why a Story played in Kiosk mode with a loop is the best option:

Create a Story: In Cognos Analytics, navigate to the "New" menu and select "Story". This allows you to create a visual narrative using your data.

Add Content: Populate the Story with the desired content, such as charts, text, images, and other visualizations. Arrange the content to provide an engaging and informative display.

Kiosk Mode: Enable Kiosk mode, which is designed for unattended, continuous display scenarios. Kiosk mode automatically loops through the Story slides.

Looping: Configure the Story to loop, ensuring that the information panel continually updates and repeats, providing ongoing information without user intervention.

Using Stories in Kiosk mode is ideal for creating dynamic, visually appealing information panels with minimal development effort.

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.

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.