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WorksheetsAIoT API
Total questions: 49
Worksheet time: 25mins
In an IoT-based smart security system, which Vision API feature is used to detect human faces from CCTV footage?
Object Detection
Face Detection
Text Detection
Landmark Detection
Emotion recognition in IoT healthcare monitoring mainly helps in:
Measuring temperature
Identifying stress and mental state
Tracking device location
Managing network traffic
Which Vision API capability allows an IoT camera to identify facial landmarks like eyes and nose?
Label Detection
Logo Detection
Face Landmark Detection
OCR
A smart classroom IoT system uses Emotion API primarily to:
Control lighting
Detect student engagement
Manage attendance
Translate speech
Vision API in IoT agriculture is commonly used for:
Soil pH analysis
Crop disease detection using images
Sensor calibration
Weather forecasting
Which input type is mandatory for Vision API in IoT applications?
Audio signal
Image or video frame
Text file
Sensor logs
Emotion API analyzes which facial attributes?
Color and texture
Emotions such as happiness, sadness, and anger
Background scene categories
Device hardware specifications
Smart retail IoT systems use Face API mainly to:
Count products
Identify customer demographics
Manage inventory
Track shipments
Speech Recognition API in IoT converts:
Text to image
Audio to text
Image to text
Text to speech
A voice-controlled IoT home assistant relies mainly on:
Vision API
Speech Recognition API
Knowledge API
Search API
Speech Translation API is useful in IoT devices deployed across:
Multiple power sources
Multiple languages
Multiple sensors
Multiple networks
Search Speech API is commonly used for:
Keyword spotting
Voice-based search queries
Face recognition
Emotion detection
Which IoT application benefits MOST from speech translation?
Smart traffic lights
Smart healthcare assistants
Industrial robots
Smart meters
In an IoT car infotainment system, speech recognition helps in:
Engine control
Voice navigation commands
Fuel monitoring
Airbag deployment
Which data format is primarily processed by Speech APIs?
JSON images
Audio streams
Video frames
Sensor metadata
Speech APIs improve IoT accessibility for:
Network engineers
Elderly and disabled users
Database admins
System testers
Language API is mainly used in IoT to process:
Images
Audio
Natural language text
Sensor signals
Sentiment analysis in IoT feedback systems uses:
Vision API
Language API
Speech API
Knowledge API
A smart customer support chatbot in IoT uses Language API for:
Speech recording
Understanding user intent
Image classification
Network routing
Language detection helps IoT systems to:
Identify device errors
Identify input language
Detect faces
Measure signal strength
Entity recognition in Language API helps IoT systems to identify:
Hardware faults
Important words like names and places
Image colors
Sensor frequency
Language API improves IoT automation by enabling:
Manual configuration
Natural language commands
Hardware tuning
Power optimization
Which IoT domain benefits MOST from text analysis?
Smart farming logs
Industrial maintenance reports
Customer feedback systems
Battery monitoring
Language API output is typically in the form of:
Image files
Audio waves
Structured text insights
Electrical signals
Knowledge API in IoT is mainly used to:
Detect emotions
Provide factual answers
Translate speech
Recognize faces
A smart assistant answering “Who is the CEO of Tesla?” uses:
Vision API
Speech API
Knowledge API
Emotion API
Knowledge API retrieves information from:
Sensor nodes
Structured knowledge bases
Images only
Audio logs
Which IoT application uses Knowledge API the MOST?
Smart assistants
Smart lighting
Smart meters
Smart irrigation
Knowledge Graphs help IoT systems by:
Improving battery life
Connecting related information
Compressing images
Reducing network delay
Knowledge API responses are typically:
Raw signals
Unstructured noise
Structured factual data
Video frames
Search API in IoT is mainly used to:
Query real-time information
Detect objects
Translate languages
Analyze emotions
A smart assistant fetching weather updates uses:
Language API
Knowledge API
Search API
Vision API
Search API enables IoT devices to access:
Local sensor memory
Internet-based data
Firmware files
Hardware registers
Which IoT system uses Search API MOST frequently?
Smart speakers
Smart bulbs
Smart plugs
Smart thermostats
Search API differs from Knowledge API because Search API:
Only works offline
Retrieves real-time web data
Detects faces
Translates speech
Voice-based search in IoT uses a combination of:
Vision + Language APIs
Speech + Search APIs
Knowledge + Vision APIs
Emotion + Search APIs
Search API results are usually:
Images only
Ranked web results
Audio signals
An IoT dashboard showing live news updates uses:
Language API
Knowledge API
Search API
Vision API
A smart assistant that hears a question, understands it, and answers it uses:
Speech + Language + Knowledge/Search APIs
Vision API only
Emotion API only
Search API only
Which combination is MOST suitable for a multilingual smart IoT assistant?
Vision + Emotion APIs
Speech Recognition + Translation + Language APIs
Knowledge API only
Search API only
In a smart airport IoT system, Vision API helps in:
Detecting network errors
Passenger facial verification
Speech translation
Traffic prediction
Emotion API combined with Vision API is useful in IoT for:
Battery optimization
Human behavior analysis
Device encryption
Sensor calibration
Speech API is critical in smart factories for:
Manual reporting
Hands-free machine control
Image labeling
Data encryption
Speech Translation in IoT helps emergency services by:
Increasing latency
Supporting multilingual communication
Reducing bandwidth
Detecting faces
Language API is useful in smart emails and alerts for:
Image compression
Text summarization
Face recognition
Audio mixing
Intent detection in Language API helps IoT systems to:
Identify hardware failures
Understand user commands
Optimize power
Detect objects
Knowledge API differs from Search API because it provides:
Random results
Factual structured answers
Only images
Only audio
Search API helps IoT assistants stay updated by:
Using static data
Accessing live web content
Reducing sensors
Storing images
Search API combined with Speech API enables:
Image recognition
Voice-based information retrieval
Emotion detection
Device encryption
