English — متاح للجميع بدون تسجيل دخول
September Exam
عدد الأسئلة
33 سؤال
الدرجة الكلية
65 درجة
مدة الامتحان
60 دقيقة
مدة الامتحان للعرض فقط — لا يوجد عد تنازلي في الامتحان العام. يمكنك البدء بالحل مباشرة بالأسفل.
تنبيه مهم
يمكنك حل الامتحان بشكل طبيعي ثم إنهاؤه بالضغط على «انهاء الامتحان»، وبعد إنهائه يمكنك كشف الإجابات. لن يتم حفظ الإجابات المكشوفة؛ ستظل ظاهرة لك فقط أثناء بقائك في هذه الصفحة، وإذا غادرت الصفحة أو أعدت تحميلها ستختفي الإجابات. بعد كشف الإجابات لن تتمكن من حل الامتحان أو كشف الإجابات مرة أخرى حتى انتهاء مدة الانتظار المحددة: 24 ساعة. (الانتظار يبدأ فقط بعد كشف الإجابات — مجرد فتح الامتحان أو قراءته لا يبدأه.)September Exam
تمت الإجابة على
0
من أصل 33 سؤال
Choose
15 questions · 15 points
1
1 pts
What is the technology that processes data on the device itself, instantly, instead of sending it to the cloud to avoid delays in decision-making?
2
1 pts
What underlying hardware technology powered the birth of early computers like the ENIAC during the 1940s–1960s?
3
1 pts
What are the basic components of an Artificial Neural Network used to learn complex patterns from data?
4
1 pts
When Generative AI produces text that sounds plausible but is factually incorrect, this phenomenon is called:
5
1 pts
Which industrial sector is associated with the task of "optimization of delivery routes"?
6
1 pts
What term expresses the loss of clarity about how an AI reached its judgment?
7
1 pts
What distinguishes a "qubit" from a "classical bit" in quantum computing?
8
1 pts
From the following options (A–D), choose the one that is NOT an appropriate description of an emerging technology.
9
1 pts
A system that predicts preferences from past behavior data and displays recommendations on platforms like YouTube and Amazon is called:
10
1 pts
What is the primary benefit of the speed provided by Generative AI for students when preparing reports?
11
1 pts
According to the lesson, which of the following are examples of intelligent human behaviors that AI aims to reproduce or perform on a computer?
12
1 pts
Most current AI systems are designed to perform:
13
1 pts
A computer system modeled after the nerve cells of the human brain, whose weights change during training, is:
14
1 pts
Which of the following represents the main task of AI in agriculture?
15
1 pts
Which abbreviation stands for technologies that reproduce or perform intelligent human behavior on a computer?
True or False
7 questions · 7 points
16
1 pts
E-commerce (EC) refers to purchasing goods at physical stores using cash.
17
1 pts
The broad field of AI includes increasingly specialized technologies as a series of nested categories.
18
1 pts
A neural network is a system that teaches the nerve cells (neurons) of the human brain how to process digital data.
19
1 pts
AI is a type of machine learning, and generative AI is a type of AI.
20
1 pts
Generating content that differs from facts is known as the black-box problem and requires caution when using AI.
21
1 pts
Speech synthesis is an application closely related to machine learning.
22
1 pts
Because AI can bare responsibility so it can call for the final decision.
Essay
11 questions · 43 points
23
2 pts
Explain the development of Information Technology during the period from the 1940s to the 1960s, indicating its primary use during that era.
24
3 pts
Explain what is meant by "Moore's Law" and whether it is a fixed physical law. Explain your answer.
25
5 pts
How has the spread of cloud computing from the 2010s onward changed the way Information Technology resources are delivered?
26
5 pts
Define the concept of Artificial Intelligence (AI), explaining in three points the difference between machine learning, deep learning, and generative AI.
27
2 pts
Spam filters and product recommendations are both examples of machine learning, but the tasks they perform are completely different. From the perspective of how AI works, explain what these two applications have in common.
28
5 pts
Suppose a farmer wants to use an AI system to distinguish between healthy and diseased crop images. Explain what type of data the system needs for training, and identify one reason its prediction might be wrong.
29
5 pts
Deep learning needs large-scale data to learn. Why might an AI struggle with something it has rarely seen in its data?
30
4 pts
List four basic AI services in daily life and state the role of AI in each service.
31
3 pts
State three cautions or precautions when using AI.
32
4 pts
List four major industrial sectors where AI technologies are introduced, briefly stating the role in each sector.
33
5 pts
Explain how recommendation systems are used in daily life, giving practical examples such as YouTube and Amazon.