Nvidia Tegra is a series of system-on-chip (SoC) processors developed by Nvidia, designed for mobile, embedded, and automotive applications. First introduced in 2008, Tegra integrates a central processing unit (CPU), graphics processing unit (GPU), and other components into a single chip, enabling efficient performance in power-constrained environments.
Key features include advanced GPU capabilities for high-definition graphics, support for machine learning and AI acceleration, and energy-efficient architectures that optimize battery life. Early models like Tegra 2 and Tegra 3 focused on mobile devices, while later generations, such as Tegra K1, X1, and X2, introduced enhanced computing power for 4K video, virtual reality, and autonomous driving systems.
Tegra has been pivotal in various sectors: it’s used in smartphones and tablets for seamless multimedia experiences, in gaming consoles like the Nintendo Switch for portable high-performance gaming, and in automotive applications for infotainment, driver assistance, and self-driving technology. Its evolution continues with ongoing innovations in AI and edge computing, solidifying Nvidia’s role in mobile and intelligent devices.
Table of Contents
- Part 1: Best AI Quiz Making Software for Creating A Nvidia Tegra Quiz
- Part 2: 20 Nvidia Tegra Quiz Questions & Answers
- Part 3: OnlineExamMaker AI Question Generator: Generate Questions for Any Topic
Part 1: Best AI Quiz Making Software for Creating A Nvidia Tegra Quiz
OnlineExamMaker is a powerful AI-powered assessment platform to create auto-grading Nvidia Tegra skills assessments. It’s designed for educators, trainers, businesses, and anyone looking to generate engaging quizzes without spending hours crafting questions manually. The AI Question Generator feature allows you to input a topic or specific details, and it generates a variety of question types automatically.
Top features for assessment organizers:
● Combines AI webcam monitoring to capture cheating activities during online exam.
● Enhances assessments with interactive experience by embedding video, audio, image into quizzes and multimedia feedback.
● Once the exam ends, the exam scores, question reports, ranking and other analytics data can be exported to your device in Excel file format.
● API and SSO help trainers integrate OnlineExamMaker with Google Classroom, Microsoft Teams, CRM and more.
Automatically generate questions using AI
Part 2: 20 Nvidia Tegra Quiz Questions & Answers
or
1. Question: What is Nvidia Tegra primarily designed for?
A) Desktop computers
B) Mobile devices and embedded systems
C) Server infrastructure
D) Gaming consoles only
Answer: B
Explanation: Nvidia Tegra is a series of system-on-chip (SoC) processors optimized for mobile devices, automotive systems, and other embedded applications due to its energy-efficient design.
2. Question: Which generation of Nvidia Tegra introduced support for 4K video playback?
A) Tegra 2
B) Tegra 3
C) Tegra 4
D) Tegra X1
Answer: D
Explanation: The Tegra X1 processor added advanced capabilities like 4K video decoding, making it suitable for high-resolution displays in devices like the Nintendo Switch.
3. Question: What type of GPU architecture is used in the Nvidia Tegra X1?
A) Kepler
B) Maxwell
C) Pascal
D) Turing
Answer: B
Explanation: The Tegra X1 utilizes Nvidia’s Maxwell GPU architecture, which provides improved performance and efficiency for graphics-intensive tasks in mobile environments.
4. Question: Which Nvidia Tegra variant is commonly used in autonomous vehicles?
A) Tegra 2
B) Tegra K1
C) Tegra Xavier
D) Tegra 3
Answer: C
Explanation: The Tegra Xavier is designed for AI and autonomous driving applications, featuring deep learning accelerators for real-time processing in vehicles.
5. Question: How many CPU cores does the Nvidia Tegra X1 have?
A) 4
B) 8
C) 6
D) 2
Answer: B
Explanation: The Tegra X1 includes an 8-core CPU configuration (4 ARM Cortex-A57 and 4 ARM Cortex-A53 cores) for balanced performance and power efficiency.
6. Question: What is a key feature of the Nvidia Tegra 4 processor?
A) Ray tracing support
B) 72 custom cores for graphics
C) Integrated 5G modem
D) AI tensor cores
Answer: B
Explanation: The Tegra 4 features 72 custom GPU cores, which significantly enhanced mobile graphics performance compared to earlier generations.
7. Question: In which year was the first Nvidia Tegra processor released?
A) 2005
B) 2008
C) 2010
D) 2012
Answer: B
Explanation: The original Tegra APX 2500 was released in 2008, marking Nvidia’s entry into the mobile processor market.
8. Question: Which device popularized the Nvidia Tegra 3 processor?
A) Samsung Galaxy series
B) Google Nexus 7 (2012)
C) Apple iPad
D) Microsoft Surface
Answer: B
Explanation: The Google Nexus 7 tablet from 2012 used the Tegra 3, highlighting its capabilities in the tablet market.
9. Question: What technology does Nvidia Tegra use for variable frequency scaling?
A) Dynamic Voltage Frequency Scaling (DVFS)
B) Hyper-Threading
C) Overclocking
D) Thermal throttling only
Answer: A
Explanation: DVFS is a core technology in Tegra processors that adjusts CPU and GPU frequencies dynamically to optimize power consumption and performance.
10. Question: Which Nvidia Tegra model supports Nvidia’s Deep Learning Accelerator (NVDLA)?
A) Tegra 2
B) Tegra K1
C) Tegra Xavier
D) Tegra 4
Answer: C
Explanation: The Tegra Xavier includes NVDLA, enabling efficient AI inference for applications like computer vision and machine learning.
11. Question: What is the maximum RAM support for the Nvidia Tegra X1?
A) 2 GB
B) 4 GB
C) 8 GB
D) 16 GB
Answer: C
Explanation: The Tegra X1 supports up to 8 GB of RAM, allowing it to handle demanding tasks in gaming and multimedia.
12. Question: Which Nvidia Tegra processor was used in the Nvidia Shield Tablet?
A) Tegra 3
B) Tegra 4
C) Tegra K1
D) Tegra X1
Answer: C
Explanation: The Nvidia Shield Tablet featured the Tegra K1, which provided strong gaming performance through its Kepler-based GPU.
13. Question: What makes the Nvidia Tegra suitable for drones and robotics?
A) High clock speeds only
B) Integrated sensors and real-time processing
C) Large storage capacity
D) Bluetooth connectivity
Answer: B
Explanation: Tegra processors include integrated sensors, AI capabilities, and real-time processing, making them ideal for drones and robotics applications.
14. Question: Which Nvidia Tegra generation introduced the Denver CPU cores?
A) Tegra 3
B) Tegra K1
C) Tegra X1
D) Tegra 4
Answer: C
Explanation: The Tegra X1 introduced custom Denver CPU cores, which are based on ARM architecture but optimized by Nvidia for better performance.
15. Question: What is the primary GPU in the Nvidia Tegra 2?
A) GeForce ULP
B) Maxwell
C) Pascal
D) Volta
Answer: A
Explanation: The Tegra 2 used the GeForce ULP (Ultra Low Power) GPU, which was one of the first mobile GPUs from Nvidia for efficient graphics rendering.
16. Question: In automotive systems, what role does Nvidia Tegra play?
A) Entertainment systems only
B) Drive assistance and infotainment
C) Engine control
D) Battery management
Answer: B
Explanation: Tegra processors, like those in Drive platforms, handle advanced driver assistance systems (ADAS) and in-car infotainment for safer and smarter vehicles.
17. Question: How does the Nvidia Tegra X1 compare to previous generations in terms of efficiency?
A) Less efficient
B) Similar efficiency
C) Improved by 50% or more
D) No change
Answer: C
Explanation: The Tegra X1 offers over 50% better power efficiency than earlier models, thanks to advancements in architecture and manufacturing processes.
18. Question: Which Nvidia Tegra processor supports 8K video encoding?
A) Tegra 4
B) Tegra K1
C) Tegra Xavier
D) Tegra X1
Answer: C
Explanation: The Tegra Xavier supports 8K video encoding and decoding, catering to future-proof applications in AI and high-resolution media.
19. Question: What programming interface is commonly used with Nvidia Tegra for graphics?
A) CUDA
B) OpenGL
C) DirectX
D) Vulkan
Answer: B
Explanation: OpenGL is widely used with Tegra processors for rendering graphics in mobile and embedded systems, though CUDA is also available for compute tasks.
20. Question: Why is Nvidia Tegra popular in the gaming industry?
A) Low cost
B) High-performance graphics and multi-core processing
C) Wireless charging
D) Expandable memory
Answer: B
Explanation: Tegra’s powerful GPU and multi-core CPU enable smooth gaming experiences, as seen in devices like the Nintendo Switch and Nvidia Shield.
or
Part 3: OnlineExamMaker AI Question Generator: Generate Questions for Any Topic
Automatically generate questions using AI