An organization is aiming to develop a chatbot that can generate human-like responses based on the context of the conversation. Which deep learning architecture would be appropriate?
- Long Short-Term Memory (LSTM)
- Residual Neural Network (ResNet)
- Restricted Boltzmann Machine (RBM)
- Self-Organizing Map (SOM)
To develop a chatbot that generates human-like responses based on context, a 'Long Short-Term Memory (LSTM)' network is suitable. LSTMs are capable of modeling sequences and are widely used for natural language processing tasks, including chatbot development, due to their ability to capture context in conversations.
In mobile app development, the _______ is a tool used for designing and testing the user interface of an app.
- API (Application Programming Interface)
- IDE (Integrated Development Environment)
- ORM (Object-Relational Mapping)
- SDK (Software Development Kit)
In mobile app development, an 'IDE' (Integrated Development Environment) is a comprehensive tool that helps developers design, code, and test the user interface and functionality of their apps.
What is the primary purpose of the training phase in machine learning?
- Data prediction and classification
- Feature extraction and selection
- Model evaluation and testing
- Model parameter adjustment
The primary purpose of the training phase in machine learning is 'Model parameter adjustment.' During training, the model adjusts its parameters to fit the data, aiming to minimize the error between predicted and actual values.
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.
In the context of digital transformation, which term refers to the redesign of business processes, often involving the integration of advanced digital technologies?
- Agile Transformation
- Business Process Reengineering (BPR)
- DevOps (Development and Operations)
- Waterfall Methodology
'Business Process Reengineering (BPR)' refers to the significant redesign of business processes to achieve improvements in efficiency, effectiveness, and often involves integrating advanced digital technologies to streamline and enhance operations.
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.