Pass the IBM IBM Certified Developer - Cognos Analytics V11.1.x C1000-065 Questions and answers with CertsForce

Share Option: The Share option in IBM Cognos Analytics V11.1.x provides multiple ways to share dashboard content with other applications or users.

iFrame Generation: One of the key benefits is the ability to generate HTML code to create an iFrame. This allows the dashboard to be embedded within other web applications or websites.

Implementation: Users can copy the generated HTML code and insert it into their web pages, facilitating seamless integration and access to Cognos dashboards.

Cognos Documentation: According to IBM Cognos Analytics V11.1.x documentation, the Share option is designed to enhance the accessibility and usability of dashboards by leveraging standard web technologies like iFrames.

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 display HTML report output directly in the body of an emailed report in IBM Cognos Analytics V11.1.x, follow these steps:

Open the Report: Open the report and navigate to the scheduling or bursting options.

Email Delivery Options: In the delivery options pane, configure the email settings.

Display Report in Email Body: Select the option "In the email body, choose 'Display a report'". This allows you to embed the HTML report directly within the email.

Follow Instructions: Follow the dialog box instructions to complete the setup. This ensures the report content is displayed in the email body rather than as an attachment.

Embedding the report in the email body allows recipients to view the report content directly within their email client.

In IBM Cognos Analytics V11.1.x, before you can modify the text item in a list column title or the data in the column body of a list object, you need to unlock the report. Here are the steps:

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

Lock Page Objects: By default, page objects are locked to prevent accidental changes.

Unlock Page Objects: Click on the "Lock Page Objects" icon in the toolbar to unlock the report. This allows you to make changes to individual cells within the report.

Select and Edit: Once unlocked, select the desired cell within the list object. You can then change the text item or modify the data format as required.

Unlocking the report ensures that you can safely make modifications without impacting other report elements.

Jupyter Notebook: This is a widely used open-source web application in the data science community.

Functionality: It enables users to create and share documents that include live code (in various programming languages like Python), equations, visualizations, and narrative text.

Integration with Cognos: In Cognos Analytics, Jupyter Notebooks can be integrated to perform advanced data analysis, leverage machine learning libraries, and present findings interactively.

Reference: The IBM Cognos Analytics V11.1.x documentation describes Jupyter Notebooks as a tool for creating interactive and shareable documents, highlighting their use in combining code execution, data analysis, and explanatory text.

AI Intent-Based Modeling: This feature in IBM Cognos Analytics leverages AI to assist developers in creating data modules.

Discovering Related Tables: One significant time-saving feature is the ability of the AI to discover related tables automatically. This helps in quickly identifying and linking relevant data sources.

Efficiency: By using AI to find related tables, developers can save time and ensure comprehensive data integration without manually searching and linking tables.

Reference: IBM Cognos Analytics V11.1.x documentation explains AI intent-based modeling and highlights how it can discover related tables to expedite the development of data modules.

When the Drill-through target type is set to Bookmark in IBM Cognos Analytics V11.1.x, the following types of saved report outputs can be used:

HTML:

Interactive Output: HTML outputs are interactive and support bookmarks, allowing users to navigate to specific sections within the report.

Usability: Ideal for web-based viewing and interaction.

PDF:

Static Output: PDF outputs support bookmarks and provide a static, paginated format that is useful for printing and sharing.

Accessibility: Bookmarks in PDFs enhance navigation within long documents.

These output types leverage the bookmark functionality to improve navigation and user experience.

Filter Expression: The filter expression[Product Group] = # sq( prompt( 'productgroups', 'token', 'Clothes' ) )#uses a prompt macro.

Default Text: The string 'Clothes' acts as the default value for the prompt. If the user does not provide a value at runtime, 'Clothes' will be used in the generated query.

Macro Function: Thepromptfunction retrieves the value provided by the user or defaults to 'Clothes' if no value is supplied.

Reference: IBM Cognos Analytics V11.1.x documentation provides detailed information on using macros and prompt functions, including the use of default values in filter expressions.

To bucket age values into specific groups in a data module within Cognos Analytics, follow these steps:

Open Data Module: Open the data module where the Age column is available.

Select Age Column: Locate and select the Age column from the list of data items.

Create Data Group: Use the "Create data group" feature. This allows you to define custom groupings (buckets) based on specified ranges.

Define Groups: Define the age ranges as required: 0-6, 7-12, 13-21, 22-55, and 55 and over. Save the data group.

Creating data groups directly in the data module allows you to segment the age values efficiently, making it easier to analyze and report on the data.