[2024年04月] 検証済み Tibco TCP-SP リアル豪華お試しセット試験問題集 PDF [Q28-Q53]

[2024年04月] 検証済みTibco TCP-SPリアル豪華お試しセット試験問題集でPDF

TCP-SP問題集PDF最新 [2024年最新] 究極の学習ガイド

質問 # 28
Where are Information Links saved?

• A. Spotfire Data Source
• B. Spotfire Web Player
• C. Spotfire Library
• D. Spotfire Analyst Client

正解：C

解説：
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 saved in the Spotfire Library, which is a central repository for storing and managing data sources, analyses, and other resources2. Users can access information links from the library and use them to open data in Spotfire clients, such as the Web Player or the Analyst Client3. References: Information Links - TIBCO Software, Library - TIBCO Software, Changes in Spotfire version 10: How to add an Information link to an existing analysis

質問 # 29
Which three of the following are property control types?
Choose 3 answers

• A. Hyperlinks
• B. Sliders
• C. List boxes
• D. Drop-down lists
• E. Buttons
• F. Bookmarks

正解：B、C、D

解説：
Property controls are devices that can change the content of a property in an easy way. They can be inserted in a text area and configured to use the values from a data table or a fixed list. There are six types of property controls available in TIBCO Spotfire: label, input field, drop-down list, list box, slider, and button1. Out of these, the options C (list boxes), D (drop-down lists), and E (sliders) are valid property control types. The other options are not property control types. Bookmarks are used to save and restore the state of an analysis2. Hyperlinks are used to link to external web pages or documents3. Buttons are used to execute scripts or actions4. References: 1: Details on Property Control - TIBCO Software1, 2: Bookmarks - TIBCO Software2, 3: Hyperlinks - TIBCO Software3, 4: Buttons - TIBCO Software4

質問 # 30
Transforming an underlying Data Table from Short/Wide to Tall/Skinny format is known as

• A. Calculation
• B. Pivot
• C. Renaming Columns
• D. Unpivot
• E. Normalization

正解：D

解説：
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

質問 # 31
Which dynamic item cannot be displayed in a graphical table?

• A. Icon
• B. Bullet graph
• C. Histogram
• D. Sparklines
• E. Calculated value

正解：C

解説：
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

質問 # 32
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. Correlation similarity
• B. Time warping
• C. Euclidean distance
• D. Hamming distance

正解：A

解説：
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

質問 # 33
Which visualization type can display dynamic items such as sparklines or calculated columns?

• A. Graphical table
• B. KPI chart
• C. Data table
• D. Summary table
• E. Cross table

正解：A

解説：
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

質問 # 34
Which two are not permission levels for a Spotfire Library folder?
Choose 2 answers

• A. Modify
• B. Browse
• C. Browse + Access + Modify
• D. Access
• E. Browse + Access

正解：A、D

解説：
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

質問 # 35
Which of the following is not a statistical function?

• A. CountBig()
• B. CountSmall()
• C. StdDev()
• D. LAV ()

正解：B

解説：
CountSmall() is not a valid statistical function in TIBCO Spotfire. It is not listed among the statistical functions that can be used in expressions or data functions. The other options are valid statistical functions that can perform calculations such as counting non-empty values, computing the lower adjacent value, or calculating the standard deviation. References: Statistical Functions - TIBCO Software

質問 # 36
What is a "tag" in Spotfire?

• A. A text box that can be added on top of visualization
• B. Captured knowledge from one or many data sources
• C. Snapshot of the state of an analysis
• D. Annotations attached to marked rows

正解：D

解説：
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

質問 # 37
What is the purpose of importing Spotfire modules in IronPython code?

• A. To load more data into the analysis
• B. To create scripts in Spotfire
• C. To use the Spotfire APIs and related objects
• D. To write scripts in a specific language

正解：C

解説：
Importing Spotfire modules in IronPython code is done to use the Spotfire APIs and related objects. The Spotfire APIs provide access to various features and functionalities of the Spotfire platform, such as data tables, visualizations, filters, markings, document properties, etc. By importing the relevant modules, such as Spotfire.Dxp.Application, Spotfire.Dxp.Data, Spotfire.Dxp.Framework, etc., the IronPython code can manipulate and interact with these objects12. The other options are not the purpose of importing Spotfire modules in IronPython code. To load more data into the analysis,the data import methods can be used, such as AddFile, AddDatabase, AddOdbcDataSource, etc.3 To create scripts in Spotfire, the script editor can be used, which allows writing IronPython code without importing any modules. To write scripts in a specific language, the language option can be selected from the script editor, such as IronPython or R.
References: 1: Using the Spotfire API - TIBCO Software1, 2: IronPython Scripting in TIBCO Spotfire® - TIBCO Software2, 3: Data Import Methods - TIBCO Software3, : Creating and Running Scripts - TIBCO Software

質問 # 38
What is TIBCO Streaming?

• A. An analytics platform for real-time applications
• B. A component of TIBCO Spotfire Statistics Services
• C. SaaS platform for streaming application development
• D. A combination of Streambase Server, Statistica Studio and LiveView Server

正解：A

解説：
TIBCO Streaming is an enterprise-grade, cloud-ready streaming analytics platform for quickly building real-time applications at a fraction of the cost and risk of alternatives1. TIBCO Streaming enables you to analyze, continuously query, and act on IoT and other streaming data at lightning fast speeds2. TIBCO Streaming is an assembly of TIBCO software technologies in a single licensable collection, which includes TIBCO StreamBase, TIBCO LiveView, TIBCO LiveView Web, TIBCO LiveView Desktop, and TIBCO Artifact Management Server3. TIBCO Streaming provides a full-featured Eclipse-based IDE, a visual programming language, and development tools that support a full development cycle4. References: TIBCO Streaming, TIBCO Streaming Trial - Windows, What is TIBCO Streaming?, TIBCO Streaming Software - Runtime Overview

質問 # 39
Which of the following join operators is not available in the Information Designer?

• A. Inner Join
• B. Unique Join
• C. Right Outer join
• D. Right Single Match Join
• E. Left Outer Join

正解：B

解説：
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

質問 # 40
In Spotfire's IronPython langauge, what does the <code>Document.Pages</code> object represent?

• A. The system pagefile
• B. A collection of the web pages where the analysis is published
• C. A collection of documents accessing sub-objects in the tree of the model
• D. A collection of the pages in the current document

正解：D

解説：
The <code>Document.Pages</code> 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 <code>Document.Pages</code> 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®

質問 # 41
Which one of the following can be inserted into a text area?

• A. Calculated column
• B. Custom expression
• C. Data table
• D. Dynamic item
• E. Visualizations

正解：D

解説：
A text area is a component that can be added to a page in Spotfire to provide text, images, links, buttons, property controls, filters, and dynamic items1. A dynamic item is a small visualization that can display an aggregated view of some data, such as a calculated value, asparkline, an icon, or a bullet graph2. A dynamic item can be inserted into a text area by using the Insert Dynamic Item option in the text area toolbar3. The other options are not valid items that can be inserted into a text area. A calculated column, a data table, and a custom expression are data-related concepts that can be used in Spotfire to create or manipulate data tables and columns4. A visualization is a graphical representation of data that can be added to a page as a separate component5. References: How to Use the Text Area, Dynamic Items - TIBCO Software, How to Insert a Dynamic Item, Data in Analysis - TIBCO Software, Visualizations - TIBCO Software

質問 # 42
Which namespace contains classes used to interact with visualizations in a document?

• A. Spotfire.Dxp.Application.AnalyticItems
• B. Spotfire.Dxp.Application.VisualCollection
• C. Spotfire.Dxp.Application.Tools
• D. Spotfire.Dxp.Application.Visuals
• E. Spotfire.Dxp.Application.Visualizations

正解：D

解説：
The Spotfire.Dxp.Application.Visuals namespace contains classes used to configure visualizations and text areas in a page1. These classes include the abstract base class Visualization, which represents a common base for all visualizations, and its derived classes, such as BarChart, BoxPlot, MapChart, ScatterPlot, etc. Each visualization class exposes properties and methods to access and modify the settings and data of the visualization, such as axes, colors, shapes, filters, markings, etc. The Spotfire.Dxp.Application.Visuals namespace also contains classes for text areas, which are used to display text, images, or HTML content on a page, and classes for various components of visualizations, such as axes, legends, reference lines, etc.
References:
* Spotfire.Dxp.Application.Visuals Namespace
* Visualization Class
* Spotfire® Document Model Framework API Overview

質問 # 43
Which of the following is not a filter type in Spotfire?

• A. ItemFilter
• B. Radio Button Filter
• C. Toggle Filter
• D. Range Filter

正解：C

解説：
A toggle filter is not a filter type in Spotfire, but a way to switch between two filter settings for a column. A toggle filter can be created from the right-click menu of a filter, and it will appear as a button in the filters panel. The filter types in Spotfire are determined by the data type of the column, and they can be changed by right-clicking the filter and selecting Filter type. The available filter types are: Item Filter, Range Filter, Radio Button Filter, Check Box Filter, List Box Filter, Slider Filter, Text Filter, Date Filter, Time Filter, and Expression Filter. References: Changing filter type, Filtering Data, Filtering Schemes

質問 # 44
Which one of the following statements does not refer to TIBCO Enterprise Runtime for R (TERR)?

• A. Many limitations in R are resolved by TERR
• B. Extends the reach of R
• C. A high-performance statistical engine
• D. Enterprise-grade analytical engine compatible with R
• E. A proprietary multi-paradigm programming language and numeric computing environment

正解：E

解説：
TIBCO Enterprise Runtime for R (TERR) is an enterprise-grade analytic engine that is fully compatible with the R language and embedded in Spotfire1. It extends the reach of R by allowing users to deploy their R code on a commercially supported and robust platform withoutthe need to rewrite their code2. It also resolves many limitations in R, such as memory management, performance, and scalability3. It is not a proprietary multi-paradigm programming language and numeric computing environment, but rather a reimplementation of the R language using C++4. The statement that describes TERR as such is incorrect and does not refer to TERR. References: Spotfire® Enterprise Runtime for R - TIBCO Software, What is TERR? How to get started with TERR in Spotfire. - TIBCO Software, TIBCO® Enterprise Runtime for R FAQ - TIBCO Software, TIBCO® Enterprise Runtime for R (TERR) - TIBCO Software

質問 # 45
Which two of the following actions can make visualization mods accessible to other users?
Choose 2 answers

• A. Save the mod as a file to disk
• B. Embed the mod in the analysis
• C. Select "New mod when possible" when saving the analysis
• D. Save the mod to the Spotfire Library

正解：B、D

解説：
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

質問 # 46
Which two of the following are can be passed lo a script via a parameter?
Choose 2 answers

• A. Filtering Schemes
• B. Pages
• C. Visualizations
• D. Markings

正解：B、C

解説：
According to the documentation, you can define script parameters for IronPython scripts in action controls and JavaScript parameters when you edit HTML of a text area. The type of parameter can be a simple data type such as a text string, an integer, etc., or it can be a visualization, page or data table in the current analysis.
Therefore, visualizations and pages are two valid types of parameters that can be passed to a script. Markings and filtering schemes are not listed as possible parameter types. References: Details on Add/Edit Script Parameter, Using Scripts in the Text Area

質問 # 47
Which of the following statements about parallel coordinate plot is NOT true?

• A. Parallel coordinate plots can be limited by one or morefiltering
• B. The values in parallel coordinate plot are always normalized
• C. A parallel coordinate plot maps each row in the data table as a bar
• D. Each column in a parallel coordinate plot uses a different scale

正解：C

解説：
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?

質問 # 48
Which three normalization options are available when a data table is added and a normalization transformation step is applied?
Choose 3 answers

• A. Normalize by standard deviation
• B. Normalize by mode
• C. Z-score calculation
• D. Normalize by mean
• E. Normalize by median

正解：A、C、D

解説：
Normalization is a transformation that adjusts the values in one or more columns of a data table to a common scale, such as between 0 and 1, or with a mean of 0 and a standard deviation of 1. Normalization can be useful for comparing data from different sources, removing outliers, or preparing data for further analysis. Spotfire provides several methods for normalizing data, which are briefly described below1:
* Z-score calculation: This method transforms the values in each column by subtracting the mean and dividing by the standard deviation. The resulting values have a mean of 0 and a standard deviation of 1, and are also known as standard scores or z-scores. This method is useful for comparing data that have different units or scales, or for identifying outliers that deviate from the mean by more than a certain number of standard deviations.
* Normalize by standard deviation: This method transforms the values in each column by dividing by the standard deviation. The resulting values have a standard deviation of 1, but the mean is not changed.
This method is useful for comparing the variability or dispersion of data across columns, or for reducing the effect of outliers on the mean.
* Normalize by mean: This method transforms the values in each column by dividing by the mean. The resulting values have a mean of 1, but the standard deviation is not changed. This method is useful for comparing the relative magnitude or proportion of data across columns, or for scaling the data to a common unit.
* Normalize by mode: This method transforms the values in each column by dividing by the mode, which is the most frequent value. The resulting values have a mode of 1, but the mean and standard deviation are not changed. This method is useful for comparing the frequency or popularity of data across columns, or for scaling the data to a common unit.
* Normalize by median: This method transforms the values in each column by dividing by the median, which is the middle value when the data are sorted. The resulting values have a median of 1, but the mean and standard deviation are not changed. This method is useful for comparing the central tendency or location of data across columns, or for scaling the data to a common unit.
To add a normalization transformation to a data table, either when loading a new data table or after the data is already in Spotfire, follow the steps described in the references23. References:
* Details on Normalization
* Spotfire Tips & Tricks: Normalize/Standardize your data with Spotfire
* How to Use the Map Chart

質問 # 49
Which of the following are layers in a map chart?
Choose 3 answers

• A. Icon
• B. Image
• C. Data
• D. Feature
• E. Marker

正解：B、D、E

解説：
A map chart visualization consists of one or more layers that display different types of information on a map. The following are the types of layers that can be added to a map chart1:
* Marker layer: This layer displays data points as markers or pies on the map, based on coordinates (usually latitude and longitude) or geocoding (matching data values togeographic locations). Markers can be colored, sized, and shaped by data columns, and can show tooltips and details on demand. Pies can show the distribution of multiple categories within each data point.
* Feature layer: This layer displays geographic features such as countries, regions, states, or custom shapes on the map, based on shapefiles or WKT (well-known text) format. Features can be colored by data columns, and can show tooltips and details on demand. Features can also be used for spatial calculations such as aggregating data by area or finding nearest neighbors.
* Image layer: This layer displays a custom image on the map, such as a floor plan, a stadium, or a conference venue. The image can be aligned and scaled to fit the map coordinates, and can be used as a background for other layers.
* Map layer: This layer displays the background map that provides the geographic context for the map chart. The map layer can be selected from a list of predefined maps, or customized by adding TMS (tiled map service) or WMS (web map service) layers from external sources.
* WMS layer: This layer displays a dynamic image from a web map service (WMS) on the map, such as weather, traffic, or satellite imagery. The WMS layer can be configured by specifying the URL, the layer name, and the style of the web service.
The icon and data options are not valid types of layers in a map chart. References:
* How to Use the Map Chart
* Map Chart Properties - Layers
* GeoAnalytics Resources - WMS and TMS Layers
* How To Get Started With Spotfire Map Charts
* Creating a map chart

質問 # 50
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 action control's actions
• D. in an axis 'n a visualization
• E. Register R scripts as data functions

正解：A、E

解説：
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

質問 # 51
The definition of the R language is...

• A. A language and environment for statistical computing and graphics
• B. A programming language that conforms to the ECMAScript specification
• C. A standard mark-up language for documents designed to be displayed in a web browser
• D. An interpreted, high-level, general-purpose programming language

正解：A

解説：
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

質問 # 52
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