TCP-SP Tibco TIBCO Spotfire Certified Professional Exam Free Practice Exam Questions (2025 Updated)

A treemap visualization is a way of displaying large amounts of hierarchically structured data. The space in the visualization is split up into rectangles that are sized and ordered by a quantitative variable. The treemap in Spotfire uses a squarified algorithm, which means that the rectangles in the treemap range in size from the top left corner of the visualization to the bottom right corner, with the largest rectangle positioned in the top left corner and the smallest rectangle in the bottom right corner. For hierarchies, that is, when the rectangles are nested, the same ordering of the rectangles is repeated for each rectangle in the treemap. References: What is a Treemap?, Creating a treemap

A graphical table is a visualization that displays data in a tabular format, where each cell can contain a dynamic item, such as a sparkline, a calculated value, an icon, or a bullet graph1. A histogram is a type of chart that shows the frequency distribution of a variable by using bars of different heights2. A histogram cannot be displayed in a graphical table, as it is not a supported dynamic item type. A histogram can be created as a separate visualization by using the Insert > New Visualization > Histogram menu option3. References:

What is a Graphical Table?

What is a Histogram?

How to Use the Histogram

Information links are predefined database queries, specifying the columns to be loaded into the internal data engine of TIBCO Spotfire, and any filters needed to reduce the size of the data table prior to visualization1. Information links are created and saved in thelibrary on the Spotfire Server, where they can be accessed by other users2. Information links are not stored on the local machine, as they are not files or settings, but rather structured requests for data2. References:

Information Links - TIBCO Software

Creating an Information Link - TIBCO Software

Information Links - TIBCO Software

Changes in Spotfire version 10: How to add an Information link to an existing analysis

 Data functions are scripts that can perform any type of calculation and return the results to an analysis. They can be created using R, Python, or other languages, and they can take input from data tables, columns, or properties, and output data tables, columns, or properties. Data functions can be executed on demand, automatically, or triggered by markings or filters. Data functions can be added to an analysis using the Tools > Register Data Functions menu option in the Spotfire Analyst client, or using the Add Data Function option in the Spotfire Server web interface. References: What are data functions?, Spotfire Data Function Library: Python and R Scripts for Data Analysis, Linear Regression in R | A Step-by-Step Guide & Examples

 This will insert the value of the property as a text string in the expression. The other options are either invalid syntax or refer to data table or column properties, which are different from document properties. References: Properties in Expressions, Details on Document Properties

 TIBCO Spotfire Statistical Services is compatible with several statistical engines, such as S-PLUS, TERR, R, SAS, and MATLAB. These engines provide a comprehensive library of statistical and mathematical algorithms that can be used to perform advanced analytics on data. TIBCO Spotfire Statistical Services can be configured to work with these engines, either as a stand-alone server or as part of a Spotfire stack1. However, TIBCO Spotfire Statistical Services is not compatible with Scala, which is a general-purpose programming language that runs on the Java Virtual Machine. Scala is not a statistical engine, and it does not have a direct integration with TIBCO Spotfire Statistical Services2. References:

Spotfire® Statistics Services - TIBCO Software

Scala (programming language) - Wikipedia

A heat map is a visualization type that is similar to a cross table, but instead of displaying numbers, it displays colors that represent the values in the cells. A heat map can be used to show the distribution of data across two or more categories using a color gradient. A heat map can also be colored by a third column, which can be selected from the Color by drop-down list in the Cross Table Properties dialog. A heat map can have different color schemes applied to different color scheme groupings, which are containers for one or more axis values that share the same color scheme. To learn more about coloring in cross tables and heat maps, see Coloring in Cross Tables and Heat Maps. References: Cross Table Properties – Colors, Coloring in Cross Tables and Heat Maps, Specifying text color and background color for cross table cells, How to set a custom color scheme for a particular column.

Tags are annotations that can be attached to marked rows in a data table. Each row can only contain a single tag from each tag collection, but the document can contain many tag collections simultaneously. A tag collection is basically a column containing a set of different tags, or annotations. Tags can be used for filtering the data, creating lists, or transferring knowledge from one analysis to another. References: What are Tags?, How to Work with Tags

 The R language is a dialect of S, which was designed in the 1980s and has been in widespread use in the statistical community since. The R language provides, among other things, a programming language, high level graphics, interfaces to other languages and debugging facilities. The R language is an open-source software, which means it is freely available to anyone. It can be accessed by a vibrant community of users and developers. The R language is an implementation of the S programming language. It also combines with lexical scoping semantics inspired by Scheme. The project was conceived in 1992, with an initial version released in 1995 and a stable beta version in 2000123. References: R Programming Language - Introduction, R Language Definition, R (programming language) - Wikipedia

To make a visualization mod accessible to other users, you can either save the mod to the Spotfire Library or embed the mod in the analysis. Saving the mod to the Spotfire Library allows other users to browse and use the mod from the Library Browser, as long as they have the appropriate permissions. Embedding the mod in the analysis allows other users to open the analysis and see the mod without having to install it separately. However, embedding the mod in the analysis will increase the size of the analysis file and may affect the performance12. References: Saving a Visualization Mod to the Library, Embedding a Visualization Mod in an Analysis

 TERR functions are a subset of the built-in expression functions in Spotfire that invoke the TERR engine for advanced statistical analysis. You can find them in the Function list of the Custom Expressions or Insert Calculated Column dialog box, under the category Statistical functions. TERR functions have the prefix TERR_ or TERRAggregation_ followed by the Spotfire data type of the output. For example, TERR_Real, TERRAggregation_String, etc. You can also register your own TERR scripts as expression functions and assign them to a custom category. References: Built-In TERR Expression Functions in Spotfire, Registering the TERR Script as an Expression Function

 A graphical table is a visualization that combines the features of a table and a bar chart. It can display values, icons, images, and sparklines in a grid layout. A graphical table can also trigger an action when clicked, such as opening a tool, applying a bookmark, or navigating to a page or a visualization. This can be configured by adding an action control to the graphical table from the text area menu. Other visualization types, such as table, cross table, and line chart, do not have this functionality by default, but they can be customized using scripts or mods to enable actions when clicked. References: Graphical Table, Details on Action Control, Actions

Linear regression is a data relationship algorithm that compares two numerical values by fitting a linear equation to the observed data. It measures the strength and direction of the relationship between the dependent variable (Y) and the independent variable (X) by calculating the slope and the intercept of the line. It also provides a p-value that indicates the significance of the relationship1. The other options are not data relationship algorithms that compare two numerical values. Chi-square is used to compare categorical columns by testing the independence of the frequencies in a contingency table2. Anova is used to compare the mean values of a numerical column across different groups defined by a categorical column3. Kruskal-Wallis is used to compare the ranks of a sortable column across different groups defined by a categorical column. References: 1: Linear Regression - TIBCO Software1, 2: Chi-square - TIBCOSoftware2, 3: Data Relationships Anova Algorithm - TIBCO Software3, : Kruskal-Wallis - TIBCO Software

Correlation similarity is a distance measure option of the line similarity tool that calculates the similarity value by comparing the shape of a line to the master line selected. Correlation similarity measures how well the values of two lines are linearly related, regardless of their absolute values or offsets. A high correlation similarity means that the lines have similar shapes,while a low correlation similarity means that the lines have different shapes or opposite directions. Correlation similarity is useful when the absolute values or scales of the lines are not important, but the relative trends or patterns are. References: Details on Line Similarity, How to Perform a Line Similarity Comparison

 Before creating an information link, you need to setup a data source that connects to the database where the data tables are stored. A data source defines the connection parameters, such as the server name, port number, user name, password, and database name. You can create a data source using the Data Source Manager tool in the Spotfire Analyst client1. Once you have a data source, you can use the Information Designer tool to create column, filter, and procedure elements that will be the building blocks of your information link2. You can then add these elements to your information link and specify the join path, filters, prompts, and other options3. References:

Data Source Manager - TIBCO Software

Information Designer - TIBCO Software

Creating an Information Link - TIBCO Software

 The Document.Pages object represents a collection of the pages in the current document. It is an instance of the PageCollection class, which provides methods and properties to access, add, remove, or reorder the pages. Each page is an instance of the Page class, which contains the title, visuals, filtering scheme, and other properties of the page. The Document.Pages object can be used in IronPython scripts to iterate over the pages, navigate to a specific page, or modify the pages programmatically. References: PageCollection Class, Page Class, Navigate Pages using IronPython in Spotfire®

 A graphical table is a visualization type that can display dynamic items such as sparklines or calculated columns. Sparklines are small line charts that show the trend of a value over time, and calculated columns are expressions that create new data based on existing data. A graphical table can include sparklines or calculated columns as separate columns, along with other columns that show values, icons, or images. A graphical table can also be filtered, sorted,grouped, or aggregated by different criteria12. References: Graphical Table, How to Use Sparklines