Free IBM C1000-065 Practice Exam with Questions & Answers | Set: 2

Custom Sorting: In IBM Cognos Analytics dashboards, custom sorting allows developers to manually define the order of columns in visualizations.

Manual Ordering: By using custom sorting, the developer can specify the exact order in which columns should appear, overriding any automatic sorting.

Implementation: This is done by accessing the sort options for the visualization and choosing the custom sort option, where the desired order can be set.

Reference: IBM Cognos Analytics V11.1.x documentation details the process of using custom sorting to manually order columns in a visualization, ensuring that the display order meets specific requirements.

Compare Card in Exploration: In IBM Cognos Analytics Explorations, a Compare card is used to interactively compare data across visualizations.

Interactive Comparison: This card allows users to set different filters on two visualizations and compare the results side by side. This interactive feature helps in identifying trends and differences between the datasets.

Use Case: The Compare card is particularly useful for scenario analysis, where different conditions or filters are applied to see how they affect the data.

Reference: IBM Cognos Analytics V11.1.x documentation describes the Compare card feature in Explorations, emphasizing its role in facilitating interactive data comparison across multiple visualizations with varying filters.

Joined Views in Data Modules: When creating joined views in Cognos Analytics, the order of joins and evaluation is significant.

Execution Logic: The joined view of tables (a and b) is first evaluated. The result of this join is then used to perform the subsequent join with table (c).

Post-join Evaluation: This approach ensures that the initial join logic is preserved and applied before the next join is executed.

Reference: The IBM Cognos Analytics V11.1.x documentation outlines the process of creating and using joined views, detailing how the execution logic is handled by the database.

Using the Assistant: The text-based Assistant in IBM Cognos Analytics can help quickly create dashboards by understanding natural language commands.

Creating a Dashboard: By entering 'show data', the Assistant lists available data sources. After selecting a data source, entering 'create dashboard' or 'build dashboard' prompts the Assistant to generate an initial dashboard.

Efficiency: This method provides a fast and user-friendly way to initiate dashboard creation, leveraging AI to streamline the process.

Reference: The IBM Cognos Analytics V11.1.x documentation explains the capabilities of the Assistant, including the steps to create dashboards using simple text commands, ensuring ease of use and quick setup.

Query Cache: The query cache in IBM Cognos Analytics helps to store the results of frequently executed queries to improve performance.

Avoiding Roundtrips: When the same master-detail request is executed repeatedly, the query cache can serve the results from the cache instead of making another roundtrip to the database.

Performance Improvement: This reduces the load on the database and speeds up the report generation process by utilizing the cached data.

Reference: IBM Cognos Analytics V11.1.x documentation details the functionality of the query cache, including its ability to handle repetitive master-detail requests efficiently by avoiding unnecessary database roundtrips.

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.

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.

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.