Which type of neural network architecture is particularly effective for sequence-to-sequence tasks, such as language translation?
- Autoencoders
- Convolutional Neural Networks (CNNs)
- Generative Adversarial Networks (GANs)
- Recurrent Neural Networks (RNNs)
Recurrent Neural Networks (RNNs) are particularly effective for 'sequence-to-sequence' tasks. They are widely used in tasks like language translation and speech recognition. The ability to maintain context from previous time steps allows RNNs to generate meaningful sequences, making them suitable for these tasks.
In which switching method is the entire frame stored before it is forwarded to its destination?
- Circuit Switching
- Message Switching
- Packet Switching
- Store-and-Forward
Store-and-Forward switching is a method where the entire data frame is received and stored before being forwarded to its destination. This method allows for error checking and can help prevent network congestion.
Which method in NLP helps in reducing the dimensionality of word vectors while retaining most of the important information?
- Dimensionality Reduction
- Latent Semantic Analysis (LSA)
- Neural Networks
- Word Embedding
'Latent Semantic Analysis (LSA)' is a technique in NLP that reduces the dimensionality of word vectors while preserving important semantic information. It's a method used for semantic analysis and text retrieval.
What is the primary purpose of an ORM (Object-Relational Mapping) in application development?
- Displaying graphics
- Managing user accounts
- Mapping objects to databases
- Playing audio
The primary purpose of an ORM is to map objects in your application to the tables and records in a relational database. It simplifies database interactions and allows you to work with data in an object-oriented manner.
A company wants to analyze customer reviews to improve product features. Which NLP technique would be most appropriate to extract specific product features mentioned in the reviews?
- Document Classification
- Named Entity Recognition (NER)
- Sentiment Analysis
- Tokenization
Named Entity Recognition (NER) is a technique in Natural Language Processing (NLP) that identifies and extracts specific entities such as product names, locations, and more. It's ideal for extracting product features from text data.
In the context of intrusion detection, what does "false positive" refer to?
- Inactive System
- Legitimate Activity
- Successful Intrusion
- System Patched
A 'false positive' in intrusion detection occurs when the system incorrectly identifies legitimate activity as a security threat or intrusion attempt. It can lead to unnecessary alerts.
In cryptography, the process of disguising plaintext to hide its content is called _______.
- Compression
- Decryption
- Encryption
- Steganography
The blank should be filled with "Steganography." Steganography is the practice of concealing data within other data, making it appear as if the hidden information doesn't exist, enhancing security and confidentiality.
The practice of using technology to innovate business practices, customer experiences, and culture is known as _______ transformation.
- Cultural
- Digital
- Innovation
- Technological
Digital transformation involves using technology to fundamentally change and improve business processes, customer interactions, and organizational culture. It's about leveraging digital tools to drive innovation and stay competitive.
The section of the operating system that chooses which task will be performed by the system at any given time is known as the _______.
- Compiler
- File System
- Kernel
- Scheduler
The 'scheduler' is a crucial part of the operating system that determines the order and priority in which tasks are executed, ensuring efficient resource allocation.
In ERP systems, the module that handles the production, shipping, and delivery of products is commonly referred to as _______.
- Customer Relationship Module
- Finance Module
- HR Module
- Supply Chain Module
In ERP systems, the module responsible for managing the production, shipping, and delivery of products is often called the 'Supply Chain Module.' It streamlines these processes for efficiency.