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

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.

To modify a prompt in a relational sourced report to support multi-select functionality, make the following changes:

Change Prompt Property Usage to Select-many:

Edit the Prompt: Select the prompt object in the report.

Property Panel: In the properties panel, change the "Usage" property from "Select-one" to "Select-many". This allows users to select multiple values in the prompt.

Update Filter Expression:

Edit Query: Open the query associated with the prompt.

Change Filter Expression: Modify the filter expression from using "=" to "in". This change ensures that the filter can handle multiple values selected by the user.

These modifications enable the prompt to accept multiple selections and apply the filter accordingly in the report.

Enabling the local cache property on a query in IBM Cognos Analytics V11.1.x has the following implications:

Improved Performance:

Data Caching: When local cache is enabled, data is cached locally, which can improve performance by reducing the need to repeatedly fetch data from the source.

Efficiency: This caching mechanism speeds up report execution and interaction times, especially when dealing with large datasets or complex queries.

Batch Reports:

Support: Local caching is particularly beneficial for batch reports, where multiple runs can leverage the cached data to enhance performance.

Impact on Scalability:

Scalability Considerations: While caching can improve performance, it might impact the scalability of the report depending on the volume of data and the frequency of cache refreshes.

Enabling local cache optimizes report execution by leveraging previously fetched data, thus enhancing user experience.

ï‚·Interactive Performance Assistant: This tool in IBM Cognos Analytics V11.1.x provides real-time performance monitoring and analysis for reports.

ï‚·Enabling the Assistant: By enabling the interactive performance assistant, users can gather detailed performance metrics as the report runs, which helps identify bottlenecks and areas for optimization.

ï‚·Benefits: This tool provides insights into query execution times, rendering times, and resource usage, enabling developers to make informed decisions to improve report performance.

ï‚·Reference: The IBM Cognos Analytics V11.1.x documentation outlines how to enable and use the interactive performance assistant for investigating and improving report performance.

To combine several images and text objects into one object in a dashboard, follow these steps to group the objects:

Select Objects: In the dashboard editor, select the images and text objects that you want to combine.

Group Objects: Use the "Group" option available in the toolbar or right-click menu to group the selected objects. This creates a single group object that can be moved and aligned as a unit.

Adjust Group Properties: You can adjust the properties of the group as needed, such as alignment, size, and position.

Grouping objects simplifies the management of multiple items, making it easier to move and align them within the dashboard layout.

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

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

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

ï‚·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.

ï‚·Insights Feature: When Insights are turned on in IBM Cognos Analytics V11.1.x, the system generates various statistical and analytical outcomes depending on the selected visualization.

ï‚·Generated Outcomes: These include:

Average: Calculates the mean value of the data set.

Predictive Strength: Indicates the strength of the predictive relationship between variables.

Fit Line: A trend line that best fits the data points in the visualization.

Meaningful Difference: Highlights statistically significant differences within the data.

Most Frequent Values: Identifies the most common values in the data set.

ï‚·Cognos Documentation: The IBM Cognos Analytics V11.1.x documentation details the Insights feature, explaining how these various outcomes are derived and how they can be used to enhance data analysis and decision-making.

ï‚·Widgets Panel: The widgets panel in Cognos Analytics provides various elements to enhance the look and feel of dashboards and stories.

ï‚·Image Library: Administrators can make an Image library tab available in the widgets panel, allowing developers to add images from a predefined collection.

ï‚·Customization: This feature enables developers to use organizational assets and ensures consistency in visual elements used across different reports and dashboards.

ï‚·Reference: IBM Cognos Analytics V11.1.x documentation describes the functionality of the widgets panel and the availability of an Image library tab managed by administrators.