Which concept in IT governance emphasizes the importance of decision rights and accountability to encourage desirable behavior in the use of IT?
- API (Application Programming Interface)
- COBIT (Control Objectives for Information and Related Technologies)
- ITIL (Information Technology Infrastructure Library)
- SIEM (Security Information and Event Management)
In IT governance, 'COBIT' (Control Objectives for Information and Related Technologies) is a framework that emphasizes decision rights, accountability, and governance to ensure that IT is used in a way that aligns with business objectives and encourages desirable behavior.
Which protocol is often used for lightweight communication in IoT devices due to its low power consumption?
- FTP (File Transfer Protocol)
- HTTP (Hypertext Transfer Protocol)
- MQTT (Message Queuing Telemetry Transport)
- TCP (Transmission Control Protocol)
MQTT is widely used in IoT because it's designed for low-power, efficient communication. MQTT's publish-subscribe model minimizes overhead and is well-suited for resource-constrained devices.
Which of the following best describes the term "risk appetite" in IT risk management?
- A measure of potential profit
- A tolerance for loss
- Likelihood of an incident
- Willingness to accept risk
"Risk appetite" in IT risk management refers to an organization's 'willingness to accept risk.' It signifies how much risk an organization is prepared to undertake in pursuit of its objectives, balancing potential rewards and uncertainties.
Which layer of the OSI model deals with the logical addressing of devices and routing?
- Data link layer
- Network layer
- Physical layer
- Transport layer
The 'Network layer' in the OSI model is responsible for logical addressing of devices and routing. This layer handles tasks like IP addressing and determining the best path for data to travel.
Which type of database is designed to store data in key-value pairs?
- Columnar Database
- Graph Database
- NoSQL Database
- Relational Database
NoSQL databases are designed to store data in various formats, including key-value pairs. They are suitable for handling unstructured or semi-structured data and are often used in modern web and big data applications.
Web pages that can change content dynamically without requiring the page to be fully reloaded are often referred to as _______.
- AJAX pages
- Cookies
- Dynamic pages
- Static pages
Web pages that can change content dynamically without a full page reload are often referred to as 'AJAX pages.' AJAX stands for Asynchronous JavaScript and XML, and it allows for seamless, dynamic content updates in web applications.
In wireless networking, the method used to spread communication signals across available bandwidths to enhance data throughput is called _______.
- Encryption
- Latency Reduction
- Modulation
- Multiplexing
Multiplexing is the technique of spreading multiple communication signals across available bandwidth to increase data throughput and efficiency in wireless networks.
Company wants to analyze images to detect defects in products on an assembly line. Which type of neural network would be most suitable for this task?
- Convolutional Neural Network (CNN)
- Deep Q-Network (DQN)
- Generative Adversarial Network (GAN)
- Recurrent Neural Network (RNN)
For image analysis and object detection tasks, a 'Convolutional Neural Network (CNN)' is the most suitable choice. CNNs are designed to effectively process grid-like data, making them ideal for tasks like defect detection in images. They excel at identifying patterns and features in images.
In cloud environments, the service that automatically distributes incoming traffic across multiple targets is termed _______.
- DNS
- Firewall
- Load Balancer
- Proxy Server
A 'Load Balancer' is a crucial service in cloud environments that evenly distributes incoming network traffic across multiple targets, enhancing performance, availability, and reliability.
Which optimization algorithm is commonly used to adjust weights in neural networks based on the gradient of the loss function?
- Gradient Descent
- K-Means Clustering
- Principal Component Analysis
- Random Forest
The commonly used optimization algorithm for adjusting weights in neural networks based on the gradient of the loss function is 'Gradient Descent.' It iteratively updates weights to minimize the loss.