MCQs

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Overall MCQs for Reference

Which of the following is NOT a real-world application of machine learning?
a. Spam filtering
b. Image recognition
c. Compiling source code
d. Fraud detection
Answer: c. Compiling source codeinterviewkickstart+1
What is a key application of machine learning in e-commerce?
a. Sorting user reviews
b. Product recommendation
c. Static page rendering
d. Manual inventory updates
Answer: b. Product recommendationfutureskillsacademy
In banking, machine learning is primarily used for:
a. Determining currency exchange rates
b. Fraud detection
c. ATM cash withdrawal limits
d. Vault security
Answer: b. Fraud detectioninterviewkickstart+1
One common use of machine learning in healthcare is:
a. Predicting diagnoses from symptoms
b. Scheduling patient appointments
c. Organizing medical records
d. Building hospital infrastructure
Answer: a. Predicting diagnoses from symptomsgyansetu+1
How is machine learning used in social media?
a. Enabling basic account sign-ups
b. Image and video recommendation
c. Managing privacy policies
d. Displaying static advertisements
Answer: b. Image and video recommendationplacementpreparation+1
Which is a real-world application of clustering in ML?
a. Grouping customers by buying habits
b. Predicting stock prices
c. Text translation
d. Weather forecasting
Answer: a. Grouping customers by buying habitsgyansetu+1
What type of machine learning is used for personalized news feed generation?
a. Reinforcement learning
b. Supervised learning
c. Unsupervised learning
d. All of the above
Answer: d. All of the aboveinterviewkickstart
Which application area uses ML for speech recognition?
a. Online banking
b. Virtual assistants
c. Assembly manufacturing
d. Home gardening
Answer: b. Virtual assistantsfutureskillsacademy+1
In smart cities, ML is leveraged for:
a. Infrastructure design
b. Traffic prediction
c. Road construction
d. Manual speed limits
Answer: b. Traffic predictionfutureskillsacademy+1
What is a prime example of ML in natural language processing?
a. Grammar correction in word processors
b. Real-time language translation
c. Filling out forms
d. Designing fonts
Answer: b. Real-time language translationplacementpreparation+1
In finance, ML is used for:
a. Predicting stock prices
b. Loan approval document printing
c. Manual balance checks
d. Securing office premises
Answer: a. Predicting stock pricesplacementpreparation
Which field uses ML for anomaly detection?
a. Cybersecurity
b. Gardening
c. Construction
d. Painting
Answer: a. Cybersecurityfutureskillsacademy
Autonomous vehicles rely on ML to:
a. Analyze weather reports
b. Navigate routes and avoid obstacles
c. Display speedometer
d. Open car doors
Answer: b. Navigate routes and avoid obstaclesinterviewkickstart+1
Which ML approach is frequently used in recommendation systems?
a. Clustering
b. Regression
c. Collaborative filtering
d. Dimensionality reduction
Answer: c. Collaborative filteringinterviewkickstart+1
Machine learning enhances e-mail platforms primarily by:
a. Customizing inbox colors
b. Filtering spam
c. Increasing storage capacity
d. Sorting emails alphabetically
Answer: b. Filtering spamgyansetu+1
Which application leverages ML for defect detection?
a. Manufacturing quality control
b. Library management
c. Curriculum design
d. Event planning
Answer: a. Manufacturing quality controlplacementpreparation
ML models support energy management systems by:
a. Predicting energy usage
b. Changing light bulbs
c. Printing energy bills
d. Fixing wiring issues
Answer: a. Predicting energy usagefutureskillsacademy
Which is a classic ML application in agriculture?
a. Crop disease identification
b. Ordering fertilizers
c. Assigning field workers
d. Sending invoices
Answer: a. Crop disease identificationfutureskillsacademy
Face recognition in smartphones is powered by:
a. Manual password input
b. Image classification algorithms
c. Button presses
d. Hardware reset
Answer: b. Image classification algorithmsfutureskillsacademy
Which insurance sector task is automated by ML?
a. Claim prediction and fraud detection
b. Meeting scheduling
c. Office decoration
d. Manual paperwork
Answer: a. Claim prediction and fraud detectionplacementpreparation+1
Machine learning in supply chain management enables:
a. Real-time demand forecasting
b. Warehouse construction
c. Fixed labor schedules
d. Manual record keeping
Answer: a. Real-time demand forecastingplacementpreparation+1
How does ML power chatbots?
a. By recognizing text patterns and providing responses
b. By storing documents
c. By enabling audio playback
d. By encrypting messages
Answer: a. By recognizing text patterns and providing responsesinterviewkickstart+1
Which ML method is often used for credit scoring?
a. Decision trees
b. Clustering
c. Principal Component Analysis
d. k-means
Answer: a. Decision treesinterviewkickstart+1
An important ML application in entertainment platforms is:
a. Movie recommendation
b. Movie production
c. Ticket booking
d. Set design
Answer: a. Movie recommendationplacementpreparation+1
ML is used for medical imaging to:
a. Detect tumors in scans
b. Schedule medical staff
c. Assign patient IDs
d. Maintain equipment
Answer: a. Detect tumors in scansplacementpreparation+1
Which ML technology helps reduce credit card fraud?
a. Anomaly detection algorithms
b. Data sorting
c. Layout management
d. File compression
Answer: a. Anomaly detection algorithmsinterviewkickstart+1
Which is NOT an application of ML in telecommunications?
a. Predictive maintenance
b. Churn prediction
c. Manual call switching
d. Network optimization
Answer: c. Manual call switchingfutureskillsacademy+1
In retail, ML is mostly used for:
a. Personalized marketing
b. Generating store receipts
c. Printing brochures
d. Cleaning floors
Answer: a. Personalized marketingplacementpreparation+1
Which application involves ML in the travel industry?
a. Dynamic pricing
b. Airport construction
c. Manual ticket check
d. Luggage handling
Answer: a. Dynamic pricinginterviewkickstart+1
What is an ML-based solution in environmental monitoring?
a. Air quality prediction
b. Map drawing
c. Event ticketing
d. Water bottle recycling
Answer: a. Air quality predictionfutureskillsacademy
In robotics, reinforcement learning is used for:
a. Teaching robots to walk
b. Coloring parts
c. Tightening screws
d. Labeling boxes
Answer: a. Teaching robots to walkstudocu+1
Which ML application uses text sentiment analysis?
a. Social media monitoring
b. Weather mapping
c. Visual art creation
d. Traffic light management
Answer: a. Social media monitoringgyansetu+1
ML enhances cybersecurity by:
a. Detecting intrusions in network traffic
b. Printing audit reports
c. Scheduling meetings
d. Locking doors
Answer: a. Detecting intrusions in network trafficfutureskillsacademy
What is an ML-based approach to medical research?
a. Drug discovery using pattern recognition
b. Manual sample collection
c. Setting up databases
d. Hiring laboratory staff
Answer: a. Drug discovery using pattern recognitionplacementpreparation+1
In real estate, ML can be used for:
a. Price trend prediction
b. Painting houses
c. Physical inspections
d. Building design
Answer: a. Price trend predictionfutureskillsacademy
ML application for personalized advertisements is implemented by:
a. Targeting users using behavior models
b. Static ad display
c. Rotating billboards
d. Window posters
Answer: a. Targeting users using behavior modelsinterviewkickstart+1
How is ML used in logistics?
a. Vehicle route optimization
b. Fuel tank cleaning
c. Tire replacement
d. Manual ticketing
Answer: a. Vehicle route optimizationplacementpreparation+1
In education, ML-powered systems are used for:
a. Personalized learning recommendations
b. Printing diplomas
c. Assigning classroom
d. Locking doors
Answer: a. Personalized learning recommendationsplacementpreparation+1
Which ML approach is used for spam message filtering?
a. Supervised classification
b. Clustering
c. Regression
d. Dimensionality reduction
Answer: a. Supervised classificationstudocu+2
Which field benefits from ML in customer segmentation?
a. Marketing
b. Plumbing
c. Carpentry
d. Painting
Answer: a. Marketingfutureskillsacademy+1
ML is used in weather forecasting by:
a. Analyzing big data sets
b. Painting instruments
c. Building radars
d. Gluing charts
Answer: a. Analyzing big data setsgyansetu+1
In document digitization, ML is used for:
a. Optical character recognition (OCR)
b. Manual typing
c. Stapling papers
d. Color printing
Answer: a. Optical character recognition (OCR)placementpreparation
Which ML technique aids in disease outbreak prediction?
a. Time series analysis
b. Regression algorithm
c. Clustering
d. Monte Carlo method
Answer: a. Time series analysisgyansetu+1
ML enhances online shopping by:
a. Recommending similar products
b. Increasing discount rates
c. Ensuring product delivery
d. Creating website pages
Answer: a. Recommending similar productsinterviewkickstart+1
Which transport sector uses ML for predictive maintenance?
a. Railways
b. E-commerce
c. Office cleaning
d. School buses
Answer: a. Railwaysfutureskillsacademy+1
In the legal domain, ML is used for:
a. Predicting case outcomes
b. Writing laws
c. Building courthouses
d. Jury selection
Answer: a. Predicting case outcomesfutureskillsacademy
Which ML-based system assists emergency services?
a. Incident detection and response routing
b. Back-office paperwork
c. Fuel delivery
d. Meeting scheduling
Answer: a. Incident detection and response routingfutureskillsacademy
ML helps in alumni donation prediction for:
a. Universities
b. Retailers
c. Mechanic shops
d. Taxi services
Answer: a. Universitiesplacementpreparation+1
Which is NOT a machine learning application?
a. Smart traffic lights
b. Manual light switch
c. Face unlocking
d. Email spam filters
Answer: b. Manual light switchinterviewkickstart+1
ML is used for language modeling in:
a. Speech-to-text applications
b. Cooking
c. Driving
d. Building bridges
Answer: a. Speech-to-text applicationsplacementpreparation+1

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