Question 1 of 72Communications system
The basic building-block chain of a communication system is:
AReceiver β Channel β Transmitter β Source
BSource β Transmitter β Channel β Receiver β Destination
CChannel β Source β Destination
DDestination β Source β Channel
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Question 2 of 72Communications system
Compared to analog systems, digital communication systems offer the key advantage of:
ASimpler transmitter design only
BNoise immunity through signal regeneration
CZero bandwidth requirement
DInability to be encrypted
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Question 3 of 72Communications system
Signal-to-Noise Ratio (SNR) is defined as:
ANoise power divided by signal power
BSignal power divided by noise power
CThe sum of signal and noise power
DThe carrier frequency divided by bandwidth
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Question 4 of 72Communications system
Thermal noise in a receiver is best classified as:
AAn external channel disturbance only
BAn internal noise source arising from the receiver's own components
CA type of modulation
DA digital coding technique
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Question 5 of 72Communications system
A digital communication system converts the message into:
AA continuously varying analog waveform only
BDiscrete symbols/bits before transmission
CPure noise
DAn unmodulated carrier
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Question 6 of 72Communications system
Regeneration in a digital communication system refers to:
AAmplifying analog noise along with the signal
BDetecting and re-transmitting clean pulses at intermediate repeater points
CRemoving the need for a receiver
DConverting digital signals back to pure noise
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Question 7 of 72Communications system
The transmitter in a communication system is primarily responsible for:
ARecovering the original message
BConverting the message into a form suitable for the channel (e.g. via modulation/coding)
CGenerating random noise
DStoring the message permanently
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Question 8 of 72Communications system
Analog communication systems are generally more susceptible than digital systems to:
AEncryption failures only
BNoise accumulation along the transmission path
CBeing demodulated at all
DHaving no transmitter
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Question 9 of 72Communications system
The receiver's primary role in a communication system is to:
AIntroduce noise into the channel
BReverse the transmitter's processing to recover the original message
CGenerate the carrier signal only
DReplace the destination
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Question 10 of 72Communications system
Noise entering a communication system primarily corrupts the signal at the:
AInformation source
BChannel
CDestination only
DIt never corrupts the signal
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Question 11 of 72Representation of signals and systems in communication
A low pass signal is characterized by significant frequency content:
AConcentrated around a high, non-zero center frequency
BConcentrated around DC (0 Hz) up to some cutoff
COnly at a single discrete frequency
DUniformly across all frequencies to infinity
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Question 12 of 72Representation of signals and systems in communication
A band pass signal is characterized by significant frequency content:
AConcentrated around DC only
BConcentrated around some non-zero center frequency, within a band
CZero at all frequencies
DPresent at negative frequencies only
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Question 13 of 72Representation of signals and systems in communication
For distortionless transmission, the system output must satisfy:
Ay(t) = x(t)Β²
By(t) = KΒ·x(tβtβ)
Cy(t) = x(t) + noise only
Dy(t) is unrelated to x(t)
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Question 14 of 72Representation of signals and systems in communication
Distortionless transmission requires the system's magnitude response to be:
AHighly variable across frequency
BConstant (flat) across the signal's bandwidth
CZero everywhere
DIncreasing linearly with frequency
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Question 15 of 72Representation of signals and systems in communication
Distortionless transmission requires the system's phase response to be:
ARandom with frequency
BLinear with frequency (constant group delay)
CExactly zero at all frequencies
DQuadratic with frequency
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Question 16 of 72Representation of signals and systems in communication
A non-flat magnitude response in a transmission system causes:
ADelay (phase) distortion only
BAmplitude distortion
CNo distortion at all
DOnly frequency shifting
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Question 17 of 72Representation of signals and systems in communication
The Hilbert transform of a signal shifts each frequency component by:
A180Β°
B90Β°
C0Β° (no change)
D45Β° only for positive frequencies
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Question 18 of 72Representation of signals and systems in communication
The Hilbert transform is commonly used in generating:
AAM signals only
BSingle-Sideband (SSB) modulated signals
CDigital logic circuits
DPower system fault currents
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Question 19 of 72Representation of signals and systems in communication
The bandwidth of a system determines primarily:
AIts physical size
BThe maximum data rate/information content it can support
CIts cost only
DIts color/appearance
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Question 20 of 72Representation of signals and systems in communication
An analytic signal, constructed using the Hilbert transform, is used to define:
AOnly the DC value of a signal
BInstantaneous amplitude, phase, and frequency
CThe physical bandwidth of a cable
DThe noise figure of a receiver
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Question 21 of 72Modulation
In Amplitude Modulation, the carrier's amplitude is varied in proportion to:
AThe carrier frequency
BThe message signal
CRandom noise
DThe sampling rate
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Question 22 of 72Modulation
In Frequency Modulation, the carrier's frequency spectrum consists of:
AOnly a single carrier line with no sidebands
BAn infinite number of sidebands described by Bessel functions
CExactly two sidebands only
DNo spectral content at all
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Question 23 of 72Modulation
Conventional (full) AM, compared to DSB-SC, transmits:
ANo carrier at all
BThe carrier plus both sidebands
COnly one sideband
DOnly the carrier, with no sidebands
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Question 24 of 72Modulation
Synchronous (coherent) detection is required for demodulating:
AConventional AM only
BDSB-SC and SSB-SC signals
CFM signals exclusively
DDigital ASK signals only
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Question 25 of 72Modulation
Carson's rule is used to estimate the bandwidth of:
AAM signals
BFM signals
CASK signals
DPCM signals
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Question 26 of 72Modulation
Among ASK, FSK, and PSK, which generally offers the best noise resistance?
AASK
BFSK
CPSK
DAll are identical
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Question 27 of 72Modulation
Phase Shift Keying (PSK) represents digital data by varying the carrier's:
AAmplitude
BFrequency
CPhase
DBandwidth
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Question 28 of 72Modulation
M-ary data communication systems encode how many bits per symbol?
A1 bit always
BlogβM bits
CM bits always
DNo bits; it is analog only
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Question 29 of 72Modulation
Increasing M in an M-ary modulation scheme generally:
AReduces bandwidth efficiency
BImproves bandwidth efficiency but requires higher SNR for the same error rate
CHas no effect on system performance
DEliminates the need for a carrier
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Question 30 of 72Modulation
Narrowband FM (NBFM) is characterized by a modulation index Ξ² that is:
AMuch greater than 1
BMuch less than 1
CExactly equal to infinity
DNegative
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Question 31 of 72Digital communication systems
The standard analog-to-digital communication process follows the order:
AEncoding β Sampling β Quantization
BSampling β Quantization β Encoding
CQuantization β Encoding β Sampling
DEncoding β Quantization β Sampling
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Question 32 of 72Digital communication systems
Source coding is applied primarily to:
AAdd redundancy for error correction
BRemove redundancy and reduce the number of bits required
CModulate the carrier frequency
DFilter channel noise
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Question 33 of 72Digital communication systems
Pulse Code Modulation (PCM) represents sampled and quantized values as:
AAnalog waveforms
BBinary codewords
CPure sine waves
DRandom noise
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Question 34 of 72Digital communication systems
Non-uniform quantization (via companding) is used primarily to:
AWorsen SNR for weak signals
BImprove SNR for low-amplitude signals by using smaller step sizes there
CEliminate quantization noise completely
DIncrease the sampling rate
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Question 35 of 72Digital communication systems
For a uniform quantizer, the maximum quantization error is:
AEqual to the step size
BHalf the step size
CTwice the step size
DZero
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Question 36 of 72Digital communication systems
The Shannon-Hartley theorem gives channel capacity as:
AC = B logβ(1+S/N)
BC = B/N
CC = S Γ N
DC = 2B
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Question 37 of 72Digital communication systems
Increasing the signal-to-noise ratio (S/N), according to Shannon-Hartley, generally:
ADecreases channel capacity
BIncreases the maximum achievable channel capacity
CHas no effect on capacity
DMakes the channel unusable
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Question 38 of 72Digital communication systems
Time Division Multiplexing (TDM) shares a channel among signals by dividing it in:
AFrequency
BTime
CWavelength
DAmplitude
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Question 39 of 72Digital communication systems
Frequency Division Multiplexing (FDM) is most commonly associated with:
ADigital PCM telephony exclusively
BAnalog systems, assigning each signal a distinct frequency band
COptical fiber wavelength sharing
DError correction coding
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Question 40 of 72Digital communication systems
Pulse Amplitude Modulation (PAM) varies the:
APulse frequency in proportion to the message
BPulse amplitude in proportion to the sampled message value
CPulse phase only
DBit error rate
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Question 41 of 72Baseband and band pass data communication systems
The self-information of an event with probability p is given by:
AI = pΒ²
BI = logβ(1/p) bits
CI = 1/pΒ²
DI = pΓlogβ(p)
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Question 42 of 72Baseband and band pass data communication systems
Entropy of a source represents:
AThe maximum possible bit rate of any channel
BThe average information per symbol, and the theoretical minimum bits needed to represent it
CThe carrier frequency
DThe quantization step size
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Question 43 of 72Baseband and band pass data communication systems
Unipolar NRZ line coding is characterized by having:
ANo DC component and self-clocking
BA DC component and no self-clocking
CZero bandwidth requirement
DOnly negative pulses
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Question 44 of 72Baseband and band pass data communication systems
Bipolar (AMI) line coding alternates the polarity of successive:
A0 bits
B1 bits
CAll bits equally
DOnly the first bit
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Question 45 of 72Baseband and band pass data communication systems
Manchester coding guarantees a signal transition:
AOnly at the start of a frame
BEvery bit interval, providing self-clocking
CNever, since it uses NRZ
DOnly for 0 bits
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Question 46 of 72Baseband and band pass data communication systems
Inter-Symbol Interference (ISI) refers to:
ANoise generated purely by the receiver
BOverlapping of adjacent symbol pulses causing detection errors
CA type of line coding
DThe channel capacity theorem
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Question 47 of 72Baseband and band pass data communication systems
The raised-cosine pulse shape is designed to achieve:
AMaximum ISI
BZero ISI at the correct sampling instants (Nyquist criterion)
CInfinite bandwidth
DNo relationship to bandwidth at all
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Question 48 of 72Baseband and band pass data communication systems
Which of the following is an example of a block error control code?
AConvolutional code
BHamming code
CManchester code
DRaised-cosine pulse
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Question 49 of 72Baseband and band pass data communication systems
Convolutional codes are typically decoded using:
AThe Viterbi algorithm
BHuffman coding
CThe Fourier transform
DCompanding
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Question 50 of 72Baseband and band pass data communication systems
Line coding is applied primarily to:
AIncrease the noise power in a channel
BRepresent digital data as electrical pulses suitable for transmission over a physical channel
CEliminate the need for a receiver
DPerform analog modulation only
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Question 51 of 72Random signals and noise in communication system
A random signal (stochastic process) is best described by:
AA single deterministic formula
BStatistical properties such as mean, variance, and correlation
CZero information content
DOnly its peak amplitude
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Question 52 of 72Random signals and noise in communication system
A wide-sense stationary (WSS) process has:
AA time-varying mean and arbitrary autocorrelation
BA constant mean, with autocorrelation depending only on the time difference between samples
CNo autocorrelation at all
DInfinite variance always
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Question 53 of 72Random signals and noise in communication system
A process is called ergodic if:
AIts time averages differ completely from ensemble averages
BIts time averages (from one sample function) equal its ensemble averages
CIt has zero mean always
DIt cannot be measured practically
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Question 54 of 72Random signals and noise in communication system
White noise is characterized by having:
AA power spectral density that varies strongly with frequency
BA constant (flat) power spectral density across all frequencies
CZero power at all frequencies
DPower concentrated only at DC
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Question 55 of 72Random signals and noise in communication system
Thermal noise in a receiver is well-approximated, over practical bandwidths, as:
APerfectly periodic noise
BWhite noise
CA deterministic sine wave
DHaving zero power
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Question 56 of 72Random signals and noise in communication system
Bandlimited white noise differs from ideal white noise in that bandlimited white noise has:
AInfinite total power
BFinite total power, due to being passed through a filter
CZero power spectral density
DNo relation to white noise at all
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Question 57 of 72Random signals and noise in communication system
The power spectral density (PSD) of a random process describes:
AHow power is distributed across time only
BHow average power is distributed across frequency
CThe exact instantaneous value of the signal
DThe bit error rate
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Question 58 of 72Random signals and noise in communication system
The autocorrelation function R(Ο) of a WSS process measures:
AThe signal's peak amplitude
BHow similar the process is to a time-shifted version of itself
CThe channel's bandwidth
DThe quantization error
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Question 59 of 72Random signals and noise in communication system
The Wiener-Khinchin theorem relates power spectral density to:
AThe Hilbert transform of the signal
BThe Fourier transform of the autocorrelation function
CThe channel capacity theorem
DThe quantization step size
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Question 60 of 72Random signals and noise in communication system
For ideal white noise, the autocorrelation function is:
AConstant for all Ο
BAn impulse at Ο = 0, indicating samples are uncorrelated for any nonzero separation
CZero everywhere, including at Ο=0
DA pure sinusoid
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Question 61 of 72Operating Systems & DBMS
Which entity has its own memory space, program counter, and code segment?
AProcess
BThread
CCoroutine
DInterrupt handler
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Question 62 of 72Operating Systems & DBMS
An OS that groups similar jobs together for batch execution is a:
AReal-time OS
BTime-sharing OS
CBatch Processing OS
DDistributed OS
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Question 63 of 72Operating Systems & DBMS
In DBMS, which component is responsible for maintaining concurrency control?
ATransaction Manager
BBuffer Manager
CDisk Manager
DCatalog Manager
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Question 64 of 72Operating Systems & DBMS
Which DBMS component estimates and minimises the cost of query execution?
AParser
BQuery Optimizer
CBuffer Manager
DCatalog
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Question 65 of 72Operating Systems & DBMS
A semaphore in OS represents:
AA synchronisation mechanism for shared resources
BA type of scheduling algorithm
CA memory management unit
DA file system structure
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Question 66 of 72Operating Systems & DBMS
BFS (Breadth-First Search) uses which data structure?
AStack
BQueue
CPriority Queue
DHeap
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Question 67 of 72Operating Systems & DBMS
DFS (Depth-First Search) uses which data structure (or property)?
AQueue (FIFO)
BStack (LIFO)
CPriority Queue
DHash Table
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Question 68 of 72Operating Systems & DBMS
For an AVL tree with 7 nodes, what is the maximum possible height?
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Question 69 of 72Operating Systems & DBMS
Which array correctly represents a min-heap?
A[4, 3, 2, 1]
B[1, 3, 2, 4]
C[3, 1, 2, 4]
D[2, 4, 1, 3]
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Question 70 of 72Operating Systems & DBMS
The time complexity of the enqueue operation in a queue implemented with a linked list is:
AO(1)
BO(n)
CO(log n)
DO(nΒ²)
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Question 71 of 72Operating Systems & DBMS
The average time complexity of sequential (linear) search is:
AO(1)
BO(n)
CO(log n)
DO(nΒ²)
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Question 72 of 72Operating Systems & DBMS
The basic classification of computer memory is:
AVolatile (RAM) and Non-volatile (ROM/Flash)
BPrimary and Secondary
CCache and Main memory
DStatic and Dynamic
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