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.
In intrusion detection, a set of rules used to detect typical intrusive activity is referred to as _______.
- Encryption
- Firewall
- Honeypot
- Signature
In intrusion detection systems, a 'Signature' is a set of rules used to detect typical intrusive activity. These rules help identify known patterns of attacks or breaches.
What is the main purpose of version control systems in software engineering?
- Automated testing
- Code obfuscation
- Code optimization
- Collaboration and code management
Version control systems are used primarily for 'collaboration and code management.' They enable teams of developers to work together, track changes, manage versions, and maintain a history of the codebase.
For tasks like question-answering in NLP, which pre-trained model has gained significant attention due to its capabilities?
- GPT-3
- LSTM
- Naive Bayes
- SVM
The pre-trained model 'GPT-3' (Generative Pre-trained Transformer 3) has gained remarkable attention in the field of Natural Language Processing (NLP) due to its extensive language understanding and generation capabilities.
Which component of IT risk management focuses on identifying and analyzing potential events that may negatively impact the organization?
- Disaster Recovery
- Hardware Maintenance
- Risk Assessment
- Risk Mitigation
'Risk Assessment' is a key element in IT risk management. It involves identifying and analyzing potential risks, vulnerabilities, and threats that could have adverse effects on an organization's IT infrastructure and operations.
A company wants to ensure the integrity and authenticity of its software downloads. What cryptographic technique should it use to allow users to verify that the software has not been tampered with?
- Code Obfuscation
- Digital Signatures
- Firewalls
- Hash Functions
To ensure the integrity and authenticity of software downloads, 'Digital Signatures' are used. Digital signatures provide a way for users to verify that the software has not been tampered with, as they are unique cryptographic stamps applied to the software package.
In advanced IoT architectures, _______ computing allows for processing data closer to the data source rather than in a centralized cloud.
- Centralized
- Edge
- Fog
- Quantum
In advanced IoT systems, 'Edge' computing is a concept that enables data processing closer to the data source, reducing latency and dependence on centralized cloud services.
An e-commerce app is experiencing slow query times due to large datasets. What database indexing technique might be implemented to optimize search performance?
- B-Tree Indexing
- Bitmap Indexing
- Full-Text Indexing
- Hash Indexing
To optimize search performance with large datasets, 'B-Tree indexing' is commonly used. B-Tree structures provide efficient range queries and are well-suited for scenarios like e-commerce apps that need to search large datasets efficiently.