Practice Free C1000-065 IBM Cognos Analytics Developer V11.1.x Exam Questions Answers With Explanation

?Represents Property: In Cognos Analytics, the Represents property helps define how an attribute should be interpreted and visualized.

?Geographic Location: Setting the Represents property of an attribute to Geographic location signals to Cognos that this data should be visualized on a map by default.

?Implementation: This ensures that when a user drags this attribute onto a dashboard, Cognos will automatically use the Map visualization.

?Reference: According to the IBM Cognos Analytics V11.1.x documentation, setting the Represents property to Geographic location is the correct method to ensure default map visualization for geographic data.

?Using Data Sets: To use a Data set as a data source in a report, it needs to be added to a Data Module.

?Data Module Integration: Adding the Data set to a Data Module integrates it into the Cognos environment, making it accessible for report development.

?Procedure: Developers can create or modify a Data Module to include the Data set, which then becomes available for use in reports.

?Reference: The IBM Cognos Analytics V11.1.x documentation explains the process of adding Data sets to Data Modules, enabling their use as data sources in reports.

To create a data module on a data server after upgrading from Cognos version 10, follow these steps:

Access Administration Console: Log into the IBM Cognos Administration Console.

Navigate to Data Source Connection: Go to the "Configuration" tab and select "Data Source Connections".

Edit Data Source: Choose the data source connection that you want to enable for web-based modeling and click "Edit".

Enable Web-Based Modeling: In the data source connection properties, there will be an option to "Allow web-based modeling". Check this option to enable it.

Save and Test: Save the changes and test the connection to ensure that web-based modeling is enabled.

Enabling web-based modeling allows users to create and manage data modules directly within the Cognos web interface, leveraging modern data modeling capabilities.

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.

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.

?Layout Positioning for Mobile Devices: When designing dashboards for different mobile devices, the layout positioning must be flexible.

?Relative Positioning: This option ensures that dashboard components are arranged in a way that adapts to different screen sizes and orientations, providing a consistent user experience across various devices.

?Adaptive Layouts: Relative positioning allows the dashboard elements to resize and reposition automatically based on the device, ensuring usability and accessibility.

?Reference: IBM Cognos Analytics V11.1.x documentation recommends using relative positioning for dashboards intended for mobile devices to maintain optimal presentation and functionality.

Jupyter Notebooks Integration: This integration allows developers to use Python and various data science libraries within Cognos Analytics.

Enhanced Insights: Developers can perform advanced analytics and data manipulation using Python, then embed the results directly into Cognos dashboards.

Augmenting Analytics: This capability provides end users with deeper insights and more sophisticated data analysis tools.

Regarding custom sorts in IBM Cognos Analytics dashboards, here’s the correct information:

Creating Custom Sorts:

Applicable Data Types: Custom sorts can be created on dimensions and categorical data but not on measures. Measures are numerical values used for calculations and aggregations, and sorting them customly is not supported in the same way as categorical data.

Implementation:

Procedure: To create a custom sort, select the field from the source pane, right-click, and choose the sorting options from the properties menu. Specify the custom sort order as required.

Limitations:

Non-measures Only: Ensure you are applying custom sorts to non-measure fields, such as dimensions or attributes, to control the order in which data is displayed in visualizations.

Custom sorting enhances the presentation and analysis of data by allowing users to define specific order criteria.

?Data Preparation: IBM Cognos Analytics provides built-in capabilities to clean and transform data within data modules.

?Prepare Menu: The 'Prepare' menu item allows developers to apply various transformations, including trimming spaces and converting text to lowercase, directly to data items.

?Cleaning Data: By using the 'Prepare' menu, developers can make data more readable and suitable for reporting without needing additional calculations in the report itself.

?Reference: The IBM Cognos Analytics V11.1.x documentation details the use of the 'Prepare' menu for data preparation tasks, ensuring data is cleaned and formatted appropriately within data modules.

?PowerPlay Studio: This tool allows developers to create and publish PowerCubes for end-user access and analysis.

?Framework Manager: Used for creating and publishing packages, including those based on PowerCubes, making them available to end users.

?Transformer: A tool specifically designed to create and manage PowerCubes. After creating a cube, it can be published and made available to users.

?Cognos Documentation: The IBM Cognos Analytics V11.1.x documentation outlines the roles of these components in the development and deployment of PowerCubes, emphasizing their interconnectivity and usage.

In IBM Cognos Analytics V11.1.x, to ensure that any JavaScript and Prompt APIs are executed when a report is run as HTML, you need to set the "Run with full interactivity" property to No. Here is how to do it:

Open the Report: Open the report in Cognos Analytics Report Studio.

Access Report Properties: Click on the "Report" tab to access the report properties.

Set Interactivity: Locate the "Run with full interactivity" property. By default, this property may be set to Yes.

Change to No: Set the "Run with full interactivity" property to No. This ensures that JavaScript and Prompt APIs are executed properly when the report is run in HTML format.

Setting "Run with full interactivity" to No is crucial for enabling the execution of custom scripts and prompt APIs, which might not work correctly with full interactivity enabled.

?JOIN Query Definition: When developing a report that includes a JOIN query, two essential elements must be defined.

?Reference to Two Queries: The JOIN operation requires two queries that need to be joined. These references define the source datasets for the join operation.

?Relationship Defining Cardinality: The cardinality of the relationship between the two queries must be defined. This specifies the nature of the relationship, such as one-to-one, one-to-many, or many-to-many.

?Implementation: In IBM Cognos Analytics, when setting up a JOIN query, users need to specify these elements to ensure the query is properly executed and returns the correct results.

?Reference: IBM Cognos Analytics V11.1.x documentation provides guidelines on creating JOIN queries, em

Creating navigation paths in IBM Cognos Analytics V11.1.x involves several key considerations:

Multiple Navigation Paths:

Support for Multiple Paths: A data module can indeed have multiple navigation paths. This allows for flexible and varied navigation experiences within the same data module, supporting different analytical perspectives and use cases.

Implementation: To create multiple navigation paths, access the data module, select the data items, and define navigation paths in the properties.

Collection of Non-Measure Columns:

Definition: A navigation path is a collection of non-measure columns, typically dimensions. These columns represent the different levels of granularity through which users can navigate.

Use Case: For example, a navigation path might include columns like Year, Quarter, Month, and Day, enabling users to drill down from a higher-level summary to detailed data.

These capabilities facilitate enhanced data exploration and user-friendly navigation within Cognos Analytics.