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WorksheetsSoft Computing Quiz
Total questions: 40
Worksheet time: 25mins
Who teaches Soft Computing Techniques?
Chayan Bhattacharjee
VenuGopala Iyer
MutuSwami VenuGopala Iyer
Prabhakarna SriPalaWardhana Atapattu JayaSuriya Laxman SivramKrishna ShivaVenkata RajShekhara Sriniwasana Trichipalli YekyaParampeel Parambatur ChinnaSwami MutuSwami VenuGopala Iyer
ChinnaSwami MutuSwami VenuGopala Iyer
What is the primary focus of hard computing?
Flexibility
Precision and accuracy
Approximate reasoning
Fault tolerance
Soft computing primarily handles problems that are based on:
Deterministic
Linear
Stochastic or approximate
Machine-dependent
Which field is soft computing more closely associated with?
Hardware architecture
Rule-based systems
Software prediction and learning models
Digital signal processing
The methodology of hard computing is derived from:
Software approximations
Fuzzy logic
Hardware engineering principles
Genetic programming
Which of the following best reflects the nature of soft computing?
Binary logic
Neural determinism
Probabilistic and fuzzy systems
Arithmetic circuits
Facts, figures, and calculations are essential components of:
Soft computing
Hard computing
Fuzzy logic
Genetic algorithms
Soft computing embraces:
Precise computation only
Hardware-dependent logic
Tolerance for imprecision and uncertainty
Boolean algebra
Which soft computing method mimics brain behavior?
Boolean logic
Linear programming
Artificial Neural Networks
Data hashing
The concept of 'prediction' in computing is most directly tied to:
Classical mechanics
Algebra
Statistics
Calculus
Hard computing systems are typically:
Rule-less
Approximate
Rigid and precise
Non-deterministic
Hardware-based systems primarily use:
Binary and deterministic models
Probabilistic predictions
Feedback learning
Emotionally adaptive logic
In soft computing, fuzzy logic is best described as:
A numerical method
A form of rigid calculation
A method for dealing with vagueness
A logic gate
Hard computing is least suitable for which of the following tasks?
Matrix operations
Sorting algorithms
Human emotion recognition
Arithmetic calculations
Which of the following statements is TRUE?
Soft computing eliminates the need for hardware
Hard computing is based on statistics
Soft computing supports imprecise computation
Hard computing is adaptable to uncertainty
Soft computing is especially useful when:
The problem is well-defined and deterministic
High-speed arithmetic is needed
The problem involves noise or incomplete data
Hardware acceleration is required
Hybrid systems in computing often combine:
Only hard computing principles
Analog signals and voltmeters
Soft computing and hard computing
Binary search and bubble sort
One major advantage of soft computing over hard computing is:
Slower processing
Higher cost
Better handling of real-world uncertainty
Limited application
Which computing paradigm is most suitable for language translation and NLP?
Hard computing
Binary logic
Soft computing
ASIC design
Which of the following fields heavily relies on soft computing?
Compilers
Digital signal routing
Image recognition
Floating-point arithmetic
A hospital uses a system that estimates the possibility of cancer based on vague symptoms like "frequent tiredness," "mild pain," and "irregular appetite." Is soft computing used?
Yes, it uses fuzzy logic
No, it uses binary diagnosis
No, only statistical averages are used
Yes, because hardware circuits are involved
An AI chess engine calculates millions of future move possibilities using deterministic algorithms and Minimax pruning. Is soft computing used?
Yes, soft computing predicts all moves
No, it's a hard computing method
Yes, it uses neural networks
No, it is based on fuzzy rule sets
A self-driving car uses data from sensors to adaptively adjust speed based on uncertain road conditions like fog and rain. Is soft computing used?
No, it's pure physics
Yes, it uses neural networks and fuzzy logic
No, it only uses maps
No, it's rule-based automation
An ATM dispenses money based on exact matching of card, pin, and balance using logic circuits. Is soft computing used?
Yes, it uses machine learning
No, it's a clear logic-based transaction
Yes, due to cash prediction
Yes, fuzzy logic is involved
An agricultural robot determines when to water plants based on soil moisture, sunlight intensity, and fuzzy rules like "soil is slightly dry" or "weather is moderately hot." Is soft computing used?
No, it uses weather sensors
Yes, fuzzy logic handles imprecision
No, it's just a timer
No, it's hardware-driven
A chatbot is trained on millions of customer conversations to handle questions adaptively without predefined logic. Is soft computing used?
Yes, it uses neural networks and learning algorithms
Yes, only scripts are used
No, it's based on memory
No, it doesn't predict
A factory machine stops automatically when a specific temperature threshold is exceeded, using a thermostat with fixed settings. Is soft computing used?
Yes, fuzzy control is applied
No, it's hard threshold logic
Yes, it adapts to heat patterns
Yes, it uses AI
An online recommender system suggests movies based on user behavior, historical data, and similarity scores. Is soft computing used?
No, just ratings are counted
Yes, uses prediction algorithms and machine learning
No, it uses binary logic
Yes, it uses rule-based expert systems
A biometric security system allows access based on fingerprint match with >95% similarity, allowing slight variations. Is soft computing used?
Yes, uses fuzzy matching
No, exact match required
No, only encryption used
No, it uses analog circuits
A math software solves equations using symbolic and numerical differentiation with strict accuracy. Is soft computing used?
Yes, it uses heuristics
No, it's hard computing
Yes, because it's a software
Yes, predictions are made
A financial forecasting system predicts stock trends using neural networks trained on historical patterns and live data. Is soft computing used?
No, only stats are used
Yes, neural learning is a soft computing technique
No, it's just arithmetic
No, it uses random selection
A music recommendation app adapts to the user's emotional state using facial expression and voice tone detection. Is soft computing used?
Yes, it combines neural networks and fuzzy logic
No, it uses face maps
No, emotions can't be detected
No, songs are listed alphabetically
A mobile phone alarm rings exactly at 6:00 AM every day, regardless of conditions. Is soft computing used?
Yes, fuzzy time logic
No, it's hard-set timing
Yes, uses AI
Yes, adaptive alarm
A robot vacuum learns room layout over time and avoids obstacles using adaptive pathfinding. Is soft computing used?
Yes, soft computing with learning and adaptation
No, preprogrammed path
No, only sensors used
No, random movement
A system evaluates employee performance based on exact KPIs like attendance, number of tasks completed, etc. Is soft computing used?
Yes, it's predictive
No, rule-based decision
Yes, fuzzy logic used
Yes, feedback loops involved
An autonomous drone adjusts its flight based on wind pressure, temperature changes, and proximity to obstacles using inference and learning. Is soft computing used?
Yes, adaptive learning and fuzzy logic
No, it uses GPS
No, all fixed
No, just physics
A student grading software assigns grades based on a 100% match with a model answer. Is soft computing used?
Yes, NLP is used
No, strict evaluation
Yes, uses fuzzy grading
Yes, AI checks style
An e-commerce site changes prices dynamically based on demand, customer behavior, and competitor pricing using ML algorithms. Is soft computing used?
Yes, price optimization via prediction
No, fixed pricing
No, uses coupons
No, just offers
A train track switching system changes track only when a sensor detects the train at a predefined location. Is soft computing used?
Yes, soft decision based on proximity
No, deterministic trigger logic
Yes, based on passenger load
No, fuzzy timing
A virtual assistant (like Alexa) understands and responds to user commands, even with accent or incomplete grammar. Is soft computing used?
Yes, natural language processing and AI
No, keyword-based only
No, uses timers
No, based on binary matching
