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NEW QUESTION # 33
What is listed in a Spotfire visualization mod's <code>mod-manifest.json</code> file?
Choose 2 answers
- A. All files included in the mod
- B. Visualizations affected by the mod
- C. Axisdefinitionsand placement
- D. CORS configuration data
Answer: A,C
Explanation:
The <code>mod-manifest.json</code> file is a JSON file that defines the metadata and configuration of a visualization mod. It contains information such as the name, ID, version, description, and author of the mod, as well as the files used by the mod, such as HTML, CSS, JavaScript, and images1. The
<code>mod-manifest.json</code> file also specifies the axis definitions and placement for the mod, which determine how the data columns are mapped to the visualization and how the axis selectors are displayed in the user interface2. Therefore, the options A (All files included in the mod) and D (Axis definitions and placement) are correct. The other options are not listed in the <code>mod-manifest.json</code> file. CORS configuration data is not relevant for visualization mods, as they are not web services that need to handle cross-origin requests3. Visualizations affected by the mod is not a property of the mod itself, but rather a result of how the mod is used in an analysis. References: 1: Mod manifest - TIBCOSoftware1, 2: Axis definitions and placement - TIBCO Software2, 3: Cross-Origin Resource Sharing (CORS) - MDN Web Docs3
NEW QUESTION # 34
Which of the following join operators is not available in the Information Designer?
- A. Right Single Match Join
- B. Inner Join
- C. Unique Join
- D. Right Outer join
- E. Left Outer Join
Answer: C
Explanation:
A unique join is a type of join that eliminates duplicate rows from the result set. It is not available in the Information Designer, as it is not a standard SQL join operator. The join operators that are available in the Information Designer are: inner join, left outer join, right outer join, full outer join, left single match join, right single match join, and freehand join12. These join operators can be used to define how rows in different tables relate to one another, and can be reused in multiple information links3. References: Creating a Join in Information Designer, Freehand Joins in Information Designer, Overview of Joins in Information Designer
NEW QUESTION # 35
Which of the following is one way to edit a text area?
- A. Clicking the appropriate button in the text area title bar
- B. Visualizations menu » Edit text area
- C. Edit menu » Edit text area
- D. In the text area properties dialog
Answer: A
Explanation:
One way to edit a text area is to click on the Edit Text Area button, , in the text area title bar. This will open the Text Area editor, where you can type text, or add any type of dynamic controls by clicking on the corresponding button in the text area toolbar1. You can also right-click on the text area and select Edit Text Area from the pop-up menu2. References: How to Use the Text Area, Text Area Pop-up Menus
NEW QUESTION # 36
Which of the following are types of action controls?
Choose 3 answers
- A. Scripts
- B. Buttons
- C. Links
- D. Images
Answer: A,B,C
Explanation:
Action controls are components that can be added to a text area to perform various actions when clicked. They can be either links, buttons, or images. The actions can include opening TIBCO Spotfire tools, applying bookmarks, navigating to a certain page or visualization, executing scripts, or refreshing data functions1. Scripts are custom actions that use the IronPython scripting functionality to automate tasks or extend the functionality of Spotfire2. Images are not a type of action control, but they can be used as the appearance of an action control1. References: Details on Action Control, IronPython Scripting in TIBCO Spotfire
NEW QUESTION # 37
Which statistical engine is TIBCO Spotfire Statistical Services <strong>NOT</strong> compatible with?
- A. MATLAB
- B. Scala
- C. TERR
- D. S-PLUS
Answer: B
Explanation:
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
NEW QUESTION # 38
Which two of the following are ways to use R scripts in custom expressions? Choose 2 answers
- A. Using the TERR_string() and related functions
- B. In a property control
- C. in an axis 'n a visualization
- D. Register R scripts as data functions
- E. In an action control's actions
Answer: A,D
Explanation:
There are two ways to use R scripts in custom expressions in Spotfire: registering R scripts as data functions and using the TERR_string() and related functions. Registering R scripts as data functions allows you to create your own functions using R syntax and call them from the custom expression and calculated column dialog boxes. You can also edit the saved expression functions from the Spotfire user interface. Using the TERR_string() and related functions allows you to execute R expressions that have been written as text strings within the custom expression. You can also use other functions such as TERR_integer(), TERR_date(), etc. to specify the data type of the output. The other options are not ways to use R scripts in custom expressions, but rather ways to use property controls or action controls, which are devices that can change the content of a property or trigger a script, respectively. References: Registering the TERR Script as an Expression Function, Add your own functions using R, Custom Expressions Introduction
NEW QUESTION # 39
Which of the following binning functions can be used on a numeric type column?
- A. BinByNumbers()
- B. BinByEvenDistribution()
- C. BinByOateTime()
- D. BinBySubstring()
- E. BinByTimeSpan()
Answer: B
Explanation:
BinByEvenDistribution() is a binning function that creates a binned column where each bin has the same number of unique values as the others. The last bin may have more unique values than the others. The first argument is the column to bin and the second argument is the number of bins. This function can be used on a numeric type column to group the values into equal frequency bins. The other binning functions are either not valid (BinByTimeSpan(), BinByNumbers()) or not applicable to a numeric type column (BinByDateTime(), BinBySubstring()). References: Binning Functions, How to Use Binning
NEW QUESTION # 40
Where is the smallest rectangle in the treemap visualization positioned?
- A. Bottom-left corner
- B. Top-right corner
- C. Top-left corner
- D. Bottom-right corner
Answer: D
Explanation:
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
NEW QUESTION # 41
The Expression shortcut "Cumulative Sum" uses which expression?
- A.
- B.
- C.
- D.
Answer: B
Explanation:
The expression shortcut "Cumulative Sum" uses the expression Sum([Column]) THEN Sum([Value]) OVER (AllPrevious([Axis.X])).
This expression calculates the sum of the values in a column, and then calculates the cumulative sum of those values over all previous values on the X-axis.
This is equivalent to option C in the image you sent1. References:
* Cumulative Sum
NEW QUESTION # 42
In which category can TERR functions be found?
- A. Math functions
- B. Binning functions
- C. Logical functions
- D. Statistical functions
Answer: D
Explanation:
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
NEW QUESTION # 43
Which two tasks does the Business Author version of Web Client allow users to do? Choose 2 answers
- A. Create information links
- B. Create analysis
- C. Share analysis
- D. Create property controls
- E. Create data sources
Answer: B,C
Explanation:
The Business Author version of Web Client is a web-based interface that allows users to create and edit analyses from a browser. Users can perform tasks such as adding data tables, visualizations, filters, markings, and pages to an analysis. They can also share their analyses with other users through the Library or by sending links via email. However, they cannot create information links, property controls, or data sources, which are more advanced features that require the Spotfire Analyst client. References: Overview of TIBCO Spotfire clients, How to enable Business Authoring on the TIBCO Spotfire Web Player
NEW QUESTION # 44
The Linear Regression method in Predictive Modelling does the following
- A. Used when the response column is categorical with only two possible values
- B. Models the numeric response column as a weighted sum of the predictor columns
- C. Models the categorical response column as a weighted sum of predictor columns
- D. Creates a binary tree by recursively splitting the data on the predictor values
Answer: B
Explanation:
The Linear Regression method in Predictive Modelling is used when the response column is numeric and continuous, and the relationship between the response and the predictors is assumed to be linear. The Linear Regression method models the numeric response column as a weighted sum of the predictor columns, plus an intercept term. The weights, or coefficients, are estimated by minimizing the sum of squared errors between the observed and predicted values1. The Linear Regression method can be used to assess the significance and effect of each predictor, as well as to make predictions for new data2. References: Building a Regression Model in Spotfire, TIBCO Spotfire - Use Regression Modeling to Predict Numerical Values
NEW QUESTION # 45
Where are Information Links stored?
- A. As a file on the local machine
- B. As a setting on the local machine
- C. In the Library on the Spotfire Server
- D. In the Library on the local machine
Answer: C
Explanation:
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
NEW QUESTION # 46
The definition of the R language is...
- A. A standard mark-up language for documents designed to be displayed in a web browser
- B. A language and environment for statistical computing and graphics
- C. A programming language that conforms to the ECMAScript specification
- D. An interpreted, high-level, general-purpose programming language
Answer: B
Explanation:
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
NEW QUESTION # 47
Comparison circles are used in which visualization?
- A. Scatter plot
- B. Box plot
- C. Line chart
- D. Map chart
Answer: B
Explanation:
Comparison circles are a way to display whether or not the mean values for various categories (boxes in the box plot) are significantly different from each other. The circles are drawn with their centers at the mean value for the box to which they correspond. If the circles for different groups do not overlap, the means of the two groups are generally significantly different. If the circles have a large overlap, the means are not significantly different. References: What are Comparison Circles? - TIBCO Software
NEW QUESTION # 48
Which two are not permission levels for a Spotfire Library folder?
Choose 2 answers
- A. Modify
- B. Access
- C. Browse + Access
- D. Browse
- E. Browse + Access + Modify
Answer: A,B
Explanation:
According to the official documentation, there are four levels of permissions that can be set for a folder in the library: Access, Browse + Access, Browse + Access + Modify, and Full Control12. Therefore, the options A (Access) and C (Modify) are not valid permission levels by themselves. Access only allows the user to execute information links in the folder, but not browse or open the contents1. Modify is not a standalone permission level, but a part of Browse + Access + Modify, which allows the user to modify and save items in the folder1. References: 1: Setting Folder Permissions - TIBCO Software1, 2: Permissions - TIBCO Software2
NEW QUESTION # 49
Which of the following steps is required before creating an information link?
- A. Create Columns
- B. Create Join
- C. Setup Data Source
- D. Create Multiple Columns
- E. Create Filter
Answer: C
Explanation:
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
NEW QUESTION # 50
What are the three types of input parameters used in the scripts?
Choose 3 answers
- A. Visualization
- B. Data types (e.g. text string, integer, etc.)
- C. Page or data table in the current analysis
- D. Action Control
Answer: B,C,D
Explanation:
Input parameters are used to pass values from the analysis to the script. They can be of three types: page or data table in the current analysis, action control, or data type. Page or data table in the current analysis allows the script to access a specific page or data table by name. Action control allows the script to be triggered by a user action, such as clicking a button or selecting a value from a list. Data type allows the script to accept a value of a specific data type, such as text string, integer, date, etc. Visualization is not a type of input parameter, but rather an object that can be accessed by the script using the Document.ActivePageReference.Visuals property. References: Spotfire Analyst Scripting, How to Get Values of the Input Parameters of a Data Function in TIBCO Spotfire® Using IronPython Scripting
NEW QUESTION # 51
Which of the following products does TIBCO Streaming include?
Choose 3 answers
- A. TIBCO StreamBase Server
- B. TIBCO Spotfire Server
- C. TIBCO StreamBase Studio
- D. TIBCO LiveView Server
Answer: A,C,D
Explanation:
TIBCO Streaming is a product family that combines the features of TIBCO StreamBase and TIBCO LiveView (formerly Live Datamart). TIBCO StreamBase Studio is a powerful Eclipse-based IDE that allows developers to create, test, and deploy streaming applications using a graphical language called EventFlow. TIBCO LiveView Server is a component that enables continuous querying and live data visualization for streaming data. TIBCO StreamBase Server is the core engine that executes streaming applications and provides high performance, scalability, and fault tolerance. TIBCO Spotfire Server is not part of TIBCO Streaming, but it can integrate with TIBCO Spotfire Data Streams, which is a Spotfire add-on product that uses the same technology as TIBCO LiveView Server. References: TIBCO Streaming Information, TIBCO Streaming | TIBCO Access Point, Community Product: TIBCO Streaming
NEW QUESTION # 52
Which statement about details visualization is NOT true?
- A. A details visualization can only be created for a Table visualization
- B. A details visualization consists of data which is limited depending on what is marked in one or more visualizations
- C. A details visualization can be placed anywhere within the page
- D. A details visualization is used to drill down into the data in multiple steps
Answer: A
Explanation:
A details visualization is a special case of a limited visualization, which shows data that depends on what is marked in one or more other visualizations (the master visualizations). A details visualization can be used to drill down into the data in multiple steps. The details visualizationcan be any type of visualization, not only a table, and it can be placed anywhere within the page, just like any other visualization. To create a details visualization, you need to right-click in the master visualization and select Create Details Visualization and the type of visualization to use as details visualization from the pop-up menu. If there are more than one related data table available in your analysis, the Create Details Visualization dialog will appear, where you can select which data table to use for the details visualization. References: What is a Details Visualization?, Details on Create Details Visualization
NEW QUESTION # 53
Which distance measure option of the line similarity tool calculates the similarity value by comparing the shape of a line to the master line selected?
- A. Hamming distance
- B. Time warping
- C. Correlation similarity
- D. Euclidean distance
Answer: C
Explanation:
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
NEW QUESTION # 54
Transforming an underlying Data Table from Short/Wide to Tall/Skinny format is known as
- A. Pivot
- B. Normalization
- C. Unpivot
- D. Calculation
- E. Renaming Columns
Answer: C
Explanation:
Unpivoting is a transformation method that changes the data table from a short/wide format to a tall/skinny format. This means that multiple columns are combined into one or a few columns, and the number of rows increases accordingly. Unpivoting can be useful when you want to analyze the distribution of data across different categories or values, or when you want to apply other transformations or calculations on the data.
Unpivoting can be done either when loading data or after the data has been loaded into Spotfire. To unpivot data, you need to select which columns to keep as they are (category columns) and which columns to merge into one or more value columns (value columns). You can also specify the names of the new columns and the data types of the value columns. References: Unpivoting Data, Transforming Data, Spotfire Tips & Tricks:
Normalize/Standardize your data with Spotfire
NEW QUESTION # 55
Which of the following statements about parallel coordinate plot is NOT true?
- A. A parallel coordinate plot maps each row in the data table as a bar
- B. Parallel coordinate plots can be limited by one or morefiltering
- C. The values in parallel coordinate plot are always normalized
- D. Each column in a parallel coordinate plot uses a different scale
Answer: A
Explanation:
A parallel coordinate plot maps each row in the data table as a line, or profile. Each attribute of a row is represented by a point on the line. This makes parallel coordinate plots similar in appearance to line charts, but the way data is translated into a plot is substantially different1. Therefore, statement B is not true, as it incorrectly describes the parallel coordinate plot as using bars instead of lines. References: What is a Parallel Coordinate Plot?
NEW QUESTION # 56
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