TIBCO Trivia 2 — Questions and Answers
Question 1: Which file format is native to TIBCO Spotfire for saving analysis files?
- DXP (Correct answer)
- SBDF
- STDF
- SFX
Correct answer: DXP
DXP (Data Exchange Platform) is Spotfire's native analysis file format.
Question 2: What does SBDF stand for in the context of TIBCO Spotfire?
- Spotfire Binary Data Format (Correct answer)
- Structured Binary Data File
- Spotfire Base Data Framework
- Standard Binary Distribution Format
Correct answer: Spotfire Binary Data Format
SBDF stands for Spotfire Binary Data Format, used for efficient storage of data tables.
Question 3: Which Spotfire component is responsible for executing Iron Python scripts on the server side?
- Spotfire Automation Services (Correct answer)
- Spotfire Web Player
- Spotfire Server
- Spotfire Analyst
Correct answer: Spotfire Automation Services
Spotfire Automation Services handles scheduled and server-side execution of IronPython scripts and jobs.
Question 4: In TIBCO Spotfire, what is a 'marking'?
- A subset of data rows selected interactively by the user (Correct answer)
- A color applied to a visualization
- A bookmark saved in the analysis
- A filter applied to a data table
Correct answer: A subset of data rows selected interactively by the user
A marking is a named selection of data rows that persists and can be shared across visualizations.
Question 5: Which Spotfire chart type is best suited for visualizing hierarchical data as nested rectangles?
- Treemap (Correct answer)
- Heat Map
- Box Plot
- Parallel Coordinates Plot
Correct answer: Treemap
A Treemap displays hierarchical data using nested rectangles sized and colored by data values.
Question 6: What is the maximum number of rows that a Spotfire in-memory data table can typically handle before performance degrades significantly?
- Around 100 million rows depending on RAM (Correct answer)
- Exactly 1 million rows
- Exactly 10 million rows
- Unlimited with no performance impact
Correct answer: Around 100 million rows depending on RAM
Spotfire in-memory analytics can handle roughly 100 million rows depending on available RAM and data complexity.
Question 7: Which property controls how a Spotfire visualization responds when a user makes a marking in another visualization?
- Marking connection settings
- Data limiting (Correct answer)
- Data on demand
- Cascade filter
Correct answer: Data limiting
Data limiting controls whether a visualization displays only marked rows from another visualization.
TIBCO Trivia 2
Which file format is native to TIBCO Spotfire for saving analysis files?