Free Practice Questions for IBM C1000-065 Exam

When designing Dimensionally Modeled Relational (DMR) structures in Framework Manager, understanding how determinants influence hierarchy levels is crucial. Here is an explanation:

Determinants in Framework Manager: Determinants are used to define the granularity of data and how it is grouped. They are essential in DMR models to ensure correct aggregation and drill behavior.

Hierarchy Levels: The order in which determinants are defined in a query subject influences the hierarchy levels. Higher-order determinants represent higher levels in the hierarchy, while lower-order determinants represent more granular levels.

Configuration: Configure determinants in the properties of a query subject. The sequence of determinants determines how data is aggregated and navigated in reports.

Impact on OLAP Behavior: Properly ordered determinants ensure that measures and dimensions behave correctly, allowing users to drill down and roll up data accurately in reports.

In IBM Cognos Analytics V11.1.x, when formatting text in a dashboard crosstab or table, the following statement is true:

Table Summary Row Formatting:

Customization: You can format the table summary row with a different color. This allows for visual differentiation between the summary row and other rows in the table or crosstab.

Implementation: Select the summary row, access the formatting options, and apply the desired color.

Additional Formatting Capabilities:

Column Titles: Although column titles can be formatted individually in terms of font, color, and size, this is a general capability and not specific to summary rows.

Text Wrapping: By default, the object does not wrap text, but this option can be enabled if needed.

Applying specific formatting to the summary row enhances the readability and visual appeal of the data presentation.

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.

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.

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.

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.

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.

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.

Creating a context filter for a crosstab report using a dimensional data source in IBM Cognos Analytics V11.1.x involves filtering measure values without affecting the items in the rows and columns. Here is how it works:

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

Select Measure: Identify the measure you want to filter.

Add Context Filter: Apply the context filter to the measure. This filter will affect only the measure values and not the dimensional items in the rows and columns.

Filter Configuration: Configure the filter criteria as needed to refine the measure values displayed in the crosstab.

Using context filters in this manner allows for precise control over the data being analyzed without altering the structure of the crosstab.