Create a custom practice set
Pick category, difficulty, number of questions, and time limit. Start instantly with your own quiz.
Generate QuizGK Questions
Filter by category, type, and difficulty. Reading is open for everyone.
SOAR platforms automate repetitive security tasks and orchestrate response workflows.
- True
- False
Answer: True
SOAR (Security Orchestration, Automation, and Response) automates playbooks: alert triage, enrichment, containment actions. Reduces analyst workload and response time. Critical for SOC efficiency.
Which framework standardizes incident response phases: preparation, detection, containment, eradication, recovery?
- NIST SP 800-61
- ISO 27035
- Both A and B
- Neither
Answer: Both A and B
NIST SP 800-61 and ISO 27035 provide structured incident response methodologies. Critical for consistent, effective handling of security incidents in enterprises.
The process of actively searching for threats that evade automated detection is called Threat ________.
Answer: Hunting
Threat hunting uses hypotheses, analytics, and analyst expertise to find hidden adversaries. Complements automated detection. Critical for advanced persistent threat (APT) defense.
Threat intelligence feeds provide indicators of compromise (IOCs) for proactive defense.
- True
- False
Answer: True
Threat intelligence (commercial, open-source, ISACs) provides IOCs: malicious IPs, domains, hashes, TTPs. Enables proactive blocking and hunting. Critical for mature security operations.
Which SOC component correlates alerts from multiple sources to identify advanced threats?
- SIEM
- SOAR
- EDR
- All of these
Answer: SIEM
SIEM (Security Information and Event Management) aggregates logs, correlates events, and detects anomalies across network, endpoint, and application sources. Foundation for modern SOC operations.
The technique that trains models on multiple tasks simultaneously to improve generalization is called ________ Learning.
Answer: Multi-Task
Multi-task learning shares representations across related tasks, improving sample efficiency and generalization. Critical for building versatile AI systems with limited labeled data per task.
Which platform component manages ML model deployment and serving at scale?
- Feature Store
- Model Registry
- Serving Infrastructure
- All of these
Answer: All of these
MLOps platforms integrate: feature stores for consistent data, model registries for versioning, serving infrastructure for scalable inference. Critical for production ML system reliability.
Quantization reduces LLM model size and inference latency by using lower-precision numbers.
- True
- False
Answer: True
Quantization (INT8, INT4) reduces model size 2-4x with minimal accuracy loss, enabling deployment on edge devices and reducing cloud inference costs. Critical for scalable LLM serving.
Which technique enables LLMs to execute code or use external tools for complex tasks?
- Function Calling
- Tool Use
- Both A and B
- Neither
Answer: Both A and B
Function calling/tool use enables LLMs to invoke APIs, run code, query databases for tasks beyond text generation. Critical for building agentic AI systems that interact with real-world systems.
The practice of versioning datasets, models, and code for reproducibility is called ________ Management.
Answer: Artifact / Model Registry
Artifact management (MLflow, DVC) tracks datasets, model versions, hyperparameters, and code commits. Enables reproducibility, auditability, and rollback in ML workflows. Critical for enterprise MLOps.
Which practice ensures ML models are continuously monitored and retrained in production?
- CI/CD
- Model Drift Detection
- A/B Testing
- All of these
Answer: All of these
MLOps combines: CI/CD for automated deployment, drift detection for performance monitoring, A/B testing for validation. Critical for maintaining ML system reliability and business value over time.
Parameter-Efficient Fine-Tuning (PEFT) methods like LoRA reduce compute costs for adapting large models.
- True
- False
Answer: True
PEFT methods (LoRA, Adapter, Prefix-tuning) update small subset of parameters or add lightweight modules, reducing compute/memory vs full fine-tuning. Critical for resource-constrained LLM adaptation.
Which method reduces LLM hallucinations by grounding responses in retrieved external knowledge?
- Fine-tuning
- RAG
- Prompt Engineering
- All of these
Answer: RAG
Retrieval-Augmented Generation (RAG) combines LLMs with external knowledge retrieval, reducing hallucinations by grounding responses in verified sources. Critical for factual accuracy in enterprise AI applications.
The technique that enables LLMs to reason step-by-step by generating intermediate thoughts is called Chain-of-________.
Answer: Thought
Chain-of-Thought prompting encourages LLMs to generate reasoning steps before final answer, improving performance on complex reasoning tasks. Critical for enhancing LLM reliability in high-stakes applications.
Fine-tuning adapts pre-trained LLMs to specific tasks with smaller datasets.
- True
- False
Answer: True
Fine-tuning updates pre-trained model weights on task-specific data, enabling adaptation to domains like healthcare, legal, or customer service with limited labeled examples. Critical for practical LLM deployment.
Which architecture forms the foundation of modern Large Language Models like GPT and LLaMA?
- CNN
- RNN
- Transformer
- LSTM
Answer: Transformer
Transformer architecture (Vaswani et al., 2017) uses self-attention mechanisms to process sequences in parallel, enabling scaling to billions of parameters. Foundation for GPT, BERT, LLaMA, and other LLMs. Critical for understanding modern AI systems.
Which of the following is NOT a function of an operating system?
- Memory Management
- File System Management
- Compiling Source Code
- Process Scheduling
Answer: Compiling Source Code
Compiling source code is performed by compiler software (like GCC, javac), not the OS. OS functions include: process management, memory management, file system management, device management, security, and user interface. Compilers are application/system software that run ON the OS.
The feature that allows UPI users to pay by scanning a code displayed at merchant outlets is called ________ Code.
Answer: QR
QR (Quick Response) Code is a two-dimensional barcode that stores payment information. UPI apps can scan merchant QR codes to initiate payments instantly without entering account details. NPCI's Bharat QR is interoperable across banks and payment apps, promoting cashless transactions at small merchants.
Which technology enables computers to interpret and make decisions based on visual inputs like images and videos?
- NLP
- Computer Vision
- Speech Recognition
- Robotics
Answer: Computer Vision
Computer Vision enables machines to interpret and understand visual information from the world using cameras and AI algorithms. Applications include facial recognition, medical imaging analysis, autonomous vehicles, quality inspection, and augmented reality. Combines deep learning, image processing, and pattern recognition.
WWW and Internet are synonymous terms referring to the same technology.
- True
- False
Answer: False
Internet is the global network of interconnected computers using TCP/IP protocols. WWW (World Wide Web) is a service that runs on the internet, using HTTP/HTTPS to access interlinked hypertext documents. Other internet services include email, FTP, VoIP. Web is a subset of internet.