22EC2024 MCQ2

Which of the following best describes the role of GPU in machine learning and artificial intelligence?

• GPU is primarily used for memory storage management

• GPU accelerates computations, especially parallel processing tasks like matrix multiplications

• GPU is used to improve network bandwidth for cloud services

• GPU is designed for managing databases and file systems

Which of the following is a key feature of Cognitive IoT systems?

• They rely solely on human intervention to interpret sensor data

• They use artificial intelligence and machine learning to enable autonomous decision-making

• They primarily focus on data collection and transmission without analytics

• They are limited to sensor networks without integrating with cloud or edge computing

Which of the following is a characteristic of a serverless architecture in cloud computing?

• It requires the user to manage the underlying infrastructure explicitly

• It charges users based on the number of servers deployed

• It abstracts away infrastructure management, allowing users to focus on code execution

• It is typically not scalable and works best for small applications

Which of the following best describes the Edge Computing paradigm in relation to Cloud Computing?

• Edge computing relies exclusively on centralized data centers in the cloud

• Edge computing has no significant role in IoT systems

• Edge computing is focused on large-scale data storage solutions

• Edge computing processes data locally on the device or near the source of data generation to reduce latency

In Cognitive IoT, which of the following technologies is commonly employed to improve real-time decision-making and automation?

• Natural Language Processing (NLP)

• Blockchain

• Predictive analytics and machine learning algorithms

• Quantum computing

How does a Digital Twin improve operational efficiency in predictive maintenance?

• By creating a virtual model of assets, it can simulate failure scenarios and predict maintenance needs before they occur

• By storing large amounts of historical maintenance data for analysis

• By reducing the number of IoT sensors required on physical assets

• By removing the need for manual inspections entirely

Which of the following is most closely associated with the "Variety" dimension in the context of Big Data?

• The need for real-time data processing and high-speed analytics

• The scalability of the infrastructure to handle increasing data volumes

• The security and privacy concerns of large datasets

• The ability to handle data in different formats, such as structured, unstructured, and semi-structured data

In the context of Big Data, Veracity refers to which of the following?

• The high volume of data generated from multiple sources

• The uncertainty and reliability of data, especially when dealing with incomplete, noisy, or inconsistent data

• The ability to process data in real-time

• The diversity of data formats and sources

Which of the following best describes Network Slicing in 5G networks?

• A method for splitting physical network infrastructure into isolated virtual networks, each optimized for different use cases or services

• A technique for allocating bandwidth based on geographic location of users

• A mechanism for ensuring the privacy of user data across all network layers

• A method of transmitting data in separate time slots to avoid congestion in the network

In a Man-in-the-Middle (MITM) attack, which of the following best describes the attacker's role?

• The attacker directly accesses and modifies data within the target's database

• The attacker deploys malware on the target's system to gain control of sensitive files

• The attacker encrypts all communication channels to prevent unauthorized access

• The attacker intercepts and potentially alters communications between two parties without their knowledge