InterviewSolution
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InterviewSolution
This section includes InterviewSolutions, each offering curated multiple-choice questions to sharpen your knowledge and support exam preparation. Choose a topic below to get started.
| 1. |
Non-biological entities exhibiting complex, goal-oriented behavior is called __________. |
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Answer» Non-biological ENTITIES exhibiting complex, goal-oriented BEHAVIOR is called __________. |
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| 2. |
The key feature(s) of Ignio include(s) __________ |
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Answer» The key FEATURE(s) of Ignio INCLUDE(s) __________ |
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| 3. |
Which of the following is/are AI based product(s)? |
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Answer» Which of the FOLLOWING is/are AI based product(s)? |
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| 4. |
Which of the following programming language(s) help in developing AI solutions? |
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Answer» Which of the following PROGRAMMING language(s) help in developing AI SOLUTIONS? |
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| 5. |
_______' intelligence refers to a state where a machine's cognizance supersedes that of human beings. |
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Answer» _______' intelligence refers to a state where a machine's cognizance supersedes that of human beings. |
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| 6. |
Which among the following is NOT a stage in the CRISP DM model? |
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Answer» Which among the following is NOT a stage in the CRISP DM MODEL? |
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| 7. |
Classification problems aid in predicting __________ outputs. |
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Answer» Classification problems AID in predicting __________ outputs. |
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| 8. |
Unsupervised learning refers to algorithms that are provided with labeled data. |
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Answer» Unsupervised LEARNING REFERS to algorithms that are PROVIDED with labeled data. |
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| 9. |
The skill(s) required to master Data Science is/are __________. |
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Answer» The skill(s) REQUIRED to master Data Science is/are __________. |
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| 10. |
A part of Machine Learning where an agent learns to behave optimally, by performing actions that will either be rewarded or punished. |
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Answer» A PART of Machine Learning where an agent learns to behave OPTIMALLY, by PERFORMING ACTIONS that will either be rewarded or punished. |
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| 11. |
The __________ stage of the CRISP-DM process focuses on understanding the objectives |
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Answer» The __________ STAGE of the CRISP-DM process FOCUSES on UNDERSTANDING the objectives |
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| 12. |
Machine Learning is a subset of Deep Learning. |
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Answer» Machine Learning is a SUBSET of DEEP Learning. |
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| 13. |
Machine Learning is a subset of __________. |
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Answer» Machine LEARNING is a subset of __________. |
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| 14. |
______ is the overall management of the availability, usability, integrity, and security of data used in an enterprise |
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Answer» __________ is the overall management of the availability, usability, integrity, and security of data used in an enterprise. |
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| 15. |
__________ involves analyzing a large amount of data to extract knowledge and insight, |
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Answer» __________ involves ANALYZING a large AMOUNT of data to EXTRACT knowledge and insight, leading to actionable decisions. |
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| 16. |
Which is the Response variable in this scenario? |
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Answer» Which is the RESPONSE VARIABLE in this scenario?" |
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| 17. |
Why is AI gaining importance currently? |
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Answer» Why is AI gaining importance currently? |
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| 18. |
Benefits of MFDM include: |
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Answer» Benefits of MFDM INCLUDE: |
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| 19. |
In Machine Learning, the output variable that is to be predicted is also called a |
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Answer» In Machine Learning, the output variable that is to be predicted is also called a |
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| 20. |
__________ is a Digital Merchandising suite. |
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Answer» __________ is a Digital Merchandising suite. |
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| 21. |
Training data is used in model evaluation. |
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Answer» Training data is used in model evaluation. |
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| 22. |
The MFDM Execution Model life cycle has __________ phases. |
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Answer» The MFDM EXECUTION Model LIFE cycle has __________ phases. |
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| 23. |
A Python package used in text analysis and natural language processing. |
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Answer» A Python package USED in text analysis and natural LANGUAGE processing. |
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| 24. |
What data is used in model building? |
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Answer» What DATA is used in model BUILDING? |
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| 25. |
The __________ process of NLP normalizes words into base or root form. |
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Answer» The __________ process of NLP normalizes words into BASE or root form. |
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