MCQs

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1. What is the primary purpose of a GPU in a server system?
   a. To handle CPU-intensive tasks
   b. To process and render graphics for display
   c. To manage system boot processes
   d. To schedule network traffic
   Answer: b. To process and render graphics for displayt4tutorials
2. Which architecture best describes a modern GPU?
   a. Single-core for sequential execution
   b. Multi-core optimized for parallel processing
   c. General-purpose single-threaded processor
   d. CPU-like, focused only on logical operations
   Answer: b. Multi-core optimized for parallel processingt4tutorials
3. What is CUDA in the context of GPUs?
   a. A CPU programming language
   b. Lets developers program NVIDIA GPUs using C/C++
   c. A graphics rendering engine only
   d. A GPU hardware feature
   Answer: b. Lets developers program NVIDIA GPUs using C/C++t4tutorials
4. What type of memory is most commonly found in modern GPUs?
   a. SRAM
   b. DRAM
   c. VRAM (Video RAM)
   d. Flash memory
   Answer: c. VRAM (Video RAM)t4tutorials
5. What is a major reason for using GPUs in machine learning tasks?
   a. Lower energy use than CPUs
   b. Higher throughput from parallel processing
   c. Easier programming
   d. Exclusively for single-threaded jobs
   Answer: b. Higher throughput from parallel processingt4tutorials
6. Which is a typical application of GPU computing?
   a. Text editing
   b. Video rendering and editing
   c. Accounting
   d. Email
   Answer: b. Video rendering and editingt4tutorials
7. What is the job of shaders in the GPU?
   a. Handle memory allocation
   b. Perform calculations on graphics data
   c. Manage CPU tasks
   d. Compress files
   Answer: b. Perform calculations on graphics datat4tutorials
8. Ray tracing is best defined as:
   a. Creating 2D images
   b. Simulating light paths for rendering
   c. Optimizing CPU performance
   d. Enhancing memory speed
   Answer: b. Simulating light paths for renderingt4tutorials
9. Which statement about integrated versus dedicated GPUs is correct?
   a. Integrated GPUs are more powerful
   b. Dedicated GPUs have their own memory and are for high-performance tasks
   c. Integrated GPUs can’t run graphics
   d. Dedicated GPUs are always less expensive
   Answer: b. Dedicated GPUs have their own memory and are for high-performance taskst4tutorials
10. Which API is commonly used for general-purpose GPU programming?
    a. OpenCL
    b. SQL
    c. HTML
    d. Python
    Answer: a. OpenCLt4tutorials
11. GPU acceleration refers to:
    a. Overclocking a GPU
    b. Enhancing speed of CPU-bound tasks using GPUs
    c. Only using GPUs for graphics
    d. Reducing CPU workload to zero
    Answer: b. Enhancing speed of CPU-bound tasks using GPUst4tutorials
12. In GPU computing, a kernel is:
    a. The OS component
    b. A function running on the GPU
    c. The CPU chip
    d. A memory type
    Answer: b. A function running on the GPUt4tutorials
13. An advantage of GPUs for deep learning is:
    a. No parallelism
    b. Faster training via computational power
    c. More power draw without benefit
    d. Algorithm simplicity
    Answer: b. Faster training via computational powert4tutorials
14. Multi-GPU setups mainly provide:
    a. More compatible software
    b. Better parallel workload performance
    c. Simplified systems
    d. Lower energy costs
    Answer: b. Better parallel workload performancet4tutorials
15. What is GPGPU?
    a. GPU for graphics only
    b. Using GPUs for non-graphics computations
    c. Low-level graphics programming
    d. GPU type for gaming
    Answer: b. Using GPUs for non-graphics computationst4tutorials
16. The Graphics Memory Controller in a GPU manages:
    a. Peripheral input
    b. Data transfer between GPU and system memory
    c. Graphical calculations
    d. Graphics data compression
    Answer: b. Data transfer between GPU and system memoryt4tutorials
17. In GPU architecture, memory bandwidth refers to:
    a. Memory size
    b. Speed of data read/write
    c. Number of memory chips
    d. Latency only
    Answer: b. Speed of data read/writet4tutorials
18. What is the role of texture mapping?
    a. Increases GPU speed
    b. Adds detail to models by applying images
    c. Manages memory resources
    d. Calculates lighting
    Answer: b. Adds detail to models by applying imagest4tutorials
19. What feature distinguishes modern GPUs?
    a. Limited parallel processing
    b. High core counts for simultaneous computation
    c. Gaming-only focus
    d. Slower than CPUs
    Answer: b. High core counts for simultaneous computationt4tutorials
20. What does GPU overclocking aim for?
    a. Lower power usage
    b. Higher performance via higher clock speed
    c. Reduced heat output
    d. System configuration simplification
    Answer: b. Higher performance via higher clock speedt4tutorials
21. Which is a typical use for GPUs in scientific computing?
    a. Simple calculations
    b. Complex simulations and modeling
    c. Word processing
    d. Email
    Answer: b. Complex simulations and modelingt4tutorials
22. What is the framebuffer’s purpose in GPU architecture?
    a. Store completed frames before display
    b. Handle CPU operations
    c. Manage allocation
    d. Sound processing
    Answer: a. Store completed frames before displayt4tutorials
23. Pick the GPU-accelerated application:
    a. Web browsing
    b. Video editing software using GPU
    c. Typing
    d. Data entry
    Answer: b. Video editing software using GPUt4tutorials
24. What does rasterization mean in rendering?
    a. Compute lighting
    b. Convert vector to raster image
    c. Manage memory
    d. Compress images
    Answer: b. Convert vector to raster imaget4tutorials
25. GPU performance is critical in VR because:
    a. No impact
    b. Required for smooth immersive experience
    c. Only for sound
    d. Simplifies development
    Answer: b. Required for smooth immersive experiencet4tutorials
26. What do compute units on a GPU do?
    a. Manage memory
    b. Execute parallel processing tasks
    c. Handle I/O
    d. Only graphics
    Answer: b. Execute parallel processing taskst4tutorials
27. What is the Z-buffer used for?
    a. Texture compression
    b. Manage depth for 3D rendering
    c. Enhance sound
    d. Optimize CPU
    Answer: b. Manage depth for 3D renderingt4tutorials
28. The main goal of hardware-accelerated video decoding is:
    a. Enhance CPU
    b. Move video processing from CPU to GPU
    c. Lower power use
    d. Simplify software
    Answer: b. Move video processing from CPU to GPUt4tutorials
29. What does latency mean for GPU performance?
    a. Memory speed
    b. Delay between command and response
    c. Total power
    d. Core count
    Answer: b. Delay between command and responset4tutorials
30. Why use GPUs for cryptography?
    a. Simpler encryption
    b. Faster crypto processing due to parallelism
    c. Lower security risk
    d. Only graphical
    Answer: b. Faster crypto processing due to parallelismt4tutorials
31. Shader programming enables developers to:
    a. Write machine code
    b. Create custom rendering effects
    c. Manage CPU
    d. Use more memory
    Answer: b. Create custom rendering effectst4tutorials
32. AMD’s RDNA architecture stands out because of:
    a. High power usage
    b. Enhanced performance per watt
    c. Old technology only
    d. No support for modern APIs
    Answer: b. Enhanced performance per wattt4tutorials
33. What is “thermal throttling” in GPU use?
    a. Increases performance
    b. Reduces performance to prevent overheating
    c. Raises power
    d. Enhances memory
    Answer: b. Reduces performance to prevent overheatingt4tutorials
34. PCIe in GPU architecture is to:
    a. Manage CPU tasks
    b. Connect GPU to motherboard for data transfer
    c. Improve sound
    d. Power management
    Answer: b. Connect GPU to motherboard for data transfert4tutorials
35. What is a warp in CUDA-enabled NVIDIA GPUs?
    a. A type of memory
    b. A group of 32 threads executing the same instruction
    c. A CPU instruction
    d. A power protocol
    Answer: b. A group of 32 threads executing the same instructionclimbtheladder
36. What is warp divergence?
    a. GPU memory overflow
    b. Threads in a warp following different execution paths
    c. Core frequency drop
    d. Idle GPU clocks
    Answer: b. Threads in a warp following different execution pathsclimbtheladder
37. CUDA cores in NVIDIA GPUs primarily increase:
    a. Sound processing speed
    b. Parallel computation performance
    c. CPU clock speed
    d. Network throughput
    Answer: b. Parallel computation performanceclimbtheladder
38. What is the function of registers in a GPU?
    a. Store user data
    b. Hold temporary data during computation
    c. Manage network traffic
    d. Power management
    Answer: b. Hold temporary data during computationleasepacket
39. The streaming multiprocessor (SM) in a GPU:
    a. Synchronizes system clocks
    b. Executes batches of threads in parallel
    c. Switches monitors
    d. Controls fans
    Answer: b. Executes batches of threads in parallelleasepacket
40. “Memory hierarchy” in GPU refers to:
    a. Ranking GPU vendors
    b. Organization of register, shared, and global memory
    c. Stack order for CPU instructions
    d. Power draw reporting
    Answer: b. Organization of register, shared, and global memoryleasepacket
41. Which is typical of GPU programming models?
    a. CUDA and OpenCL
    b. HTML and SQL
    c. XML and CSS
    d. C# and JavaScript
    Answer: a. CUDA and OpenCLleasepacket
42. The main role of memory coalescing in GPUs:
    a. Saving power
    b. Minimize memory access latency
    c. Improving keyboard input
    d. Boosting ethernet throughput
    Answer: b. Minimize memory access latencyleasepacket
43. What is a key reason for multi-GPU servers in data centers?
    a. Storage redundancy
    b. Accelerating parallel compute workloads
    c. Simplified power supply
    d. Lowered network costs
    Answer: b. Accelerating parallel compute workloadsfibermall
44. GPUS are particularly efficient at:
    a. Sequential single-thread workloads
    b. Massively parallel workloads
    c. Disk defragmentation
    d. Keyboard polling
    Answer: b. Massively parallel workloadsfibermall
45. Servers with both CPUs and GPUs provide:
    a. No significant computing advantage
    b. Specialized acceleration by distributing workloads
    c. Always slower processing
    d. Higher storage failure
    Answer: b. Specialized acceleration by distributing workloadsfibermall
46. In a GPU server, which task is typically offloaded from the CPU to the GPU?
    a. Temperature control
    b. Graphics rendering and general parallel processing
    c. System BIOS loading
    d. IP routing
    Answer: b. Graphics rendering and general parallel processingfibermall
47. What does “general-purpose computing on GPU” (GPGPU) mean?
    a. Graphics only
    b. Non-graphics computation using the GPU
    c. Network switching using GPU
    d. Disk formatting
    Answer: b. Non-graphics computation using the GPUfibermall
48. The CPU in a GPU server handles:
    a. All rendering and no logic
    b. General-purpose processing; GPU accelerates specialized parallel workloads
    c. Nothing; GPU replaces CPU
    d. Only network switching
    Answer: b. General-purpose processing; GPU accelerates specialized parallel workloadsfibermall
49. Which is a major application area for GPU servers?
    a. Email automation
    b. Deep learning model training
    c. ASCII art generation
    d. Text processing
    Answer: b. Deep learning model trainingfibermall
50. The main benefit of using NVIDIA GPUs in modern servers is:
    a. Higher fan speed
    b. Unmatched computational capacity and efficiency for intensive workloads
    c. Exclusive software compatibility
    d. Only useful for 2D gaming
    Answer: b. Unmatched computational capacity and efficiency for intensive workloadsfibermall

1. https://t4tutorials.com/gpu-architecture-and-usage-mcqs/
2. https://climbtheladder.com/gpu-architecture-interview-questions/
3. https://leasepacket.com/gpu-server-applications/
4. https://www.fibermall.com/blog/gpu-server.htm
5. https://testbook.com/objective-questions/mcq-on-graphics-systems–5eea6a0939140f30f369da53
6. https://www.studocu.com/in/document/srm-institute-of-science-and-technology/gpu-computing/unit-1-gpu-computing-200-mcq-practice-bank-for-easy-mastery/136158846
7. https://www.sanfoundry.com/1000-computer-graphics-questions-answers/
8. https://mcqslearn.com/cs/ca/gpu-computing.php
9. https://mentorcruise.com/questions/nvidia/
10. https://testbook.com/objective-questions/mcq-on-computer-hardware-and-networking–5eea6a1339140f30f369eed2
11. https://www.watelectronics.com/mcq/embedded-systems/
12. https://interviewprep.org/gpu-graphics-processing-unit-interview-questions/
13. https://www.hpe.com/in/en/what-is/gpu-server.html
14. https://www.scribd.com/document/853445590/TCS-PRA-MCQ-Question-Paper
15. https://www.geeksforgeeks.org/interview-experiences/nvidia-interview-questions-and-answers-for-technical-profiles/
16. https://hydrahost.com/post/what-is-gpu-server-comprehensive-guide-beginners/
17. https://gkaim.com/computer/super-computers-mcqs-part-1/
18. https://www.withoutbook.com/InterviewQuestionList.php?tech=153&s=Computer+Graphics+Interview+Questions+and+Answers
19. https://cloudminister.com/blog/gpu-servers-for-developers-startups-businesses-a-practical-guide/
20. https://mcqslearn.com/cs/ca/gpu-architecture-issues.php