Knime MCQ Questions And Answers - Machine Learning Libraries
Knime MCQs : This section focuses on "basics" of Knime. These Multiple Choice Questions (MCQ) should be practiced to improve the Knime skills required for various interviews (campus interviews, walk-in interviews, company interviews), placements, entrance exams and other competitive examinations.
1. KNIME stands for?
A. Kostanz Information MinEr
B. KoNstanz Information MinEr
C. KoNstanz Informative MinEr
D. KoNstanz Information MaxEr
View Answer
Ans : B
Explanation: KNIME stands for KoNstanz Information MinEr
2. When you open the nodes repository you may view the nodes that are broadly classified under ____________ categories.
A. 1
B. 2
C. 3
D. 4
View Answer
Ans : C
Explanation: The nodes repository consists of different types of nodes required to build a workflow. When you open the nodes repository you may view the nodes that are broadly classified under three categories: IO, Views, Analytics
3. KNIME provides a GUI to build Machine Learning models easily.
A. TRUE
B. FALSE
C. Can be true or false
D. Can not say
View Answer
Ans : A
Explanation: True, KNIME provides a GUI to build Machine Learning models easily.
4. When different nodes are connected to each other to perform a specific task is defined as the ?
A. KNIME workspace
B. KNIME workbench
C. KNIME workstation
D. KNIME workflow
View Answer
Ans : D
Explanation: When different nodes are connected to each other to perform a specific task is defined as the Workflow.
5. A _________ in KNIME is defined as a single unit dedicated to performing a specific task in a workflow.
A. File
B. Node
C. Module
D. None of the above
View Answer
Ans : B
Explanation: A Node in KNIME is defined as a single unit dedicated to performing a specific task in a workflow.
6. Each node consists of an?
A. Entry point
B. Output point
C. Both A and B
D. None of the above
View Answer
Ans : C
Explanation: Each node consists of an entry point and an output point. Nodes can be broadly defined as the building blocks of any workflow.
7. Is KNIME an ETL tool?
A. Yes
B. No
C. Can be yes or no
D. Can not say
View Answer
Ans : A
Explanation: Yes, KNIME an ETL tool. KNIME is capable of Extracting data of connecting with a source then performing certain specific tasks on it to bring it into some specific format and in the end load for further querying.
8. Which view provides a view of the various console messages while executing your workflow?
A. Outline View
B. Description View
C. Console View
D. Workspace View
View Answer
Ans : C
Explanation: As the name indicates, the Console view provides a view of the various console messages while executing your workflow.
9. ETL is an abbreviated form of?
A. Exact, Transform and Load
B. Extract, Toggle and Load
C. Extract, Transform and List
D. Extract, Transform and Load
View Answer
Ans : D
Explanation: ETL is an abbreviated form of Extract, Transform and Load.
10. Which are the views that can be seen when you open a KNIME workbench?
A. Nodes Repository
B. KNIME Explorer
C. Console
D. All of the above
View Answer
Ans : D
Explanation: The following are the views that can be seen when you open a KNIME workbench: Workspace, Outline, Nodes Repository, KNIME Explorer, Console and Description
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