Computer Architecture and Kubernetes Quiz
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Questions and Answers

Which of the following describes Random Access Memory (RAM)?

  • A type of non-volatile memory used for long-term data storage.
  • A storage medium used for archival purposes.
  • A type of volatile memory used to store actively processed data. (correct)
  • A memory type with slower access speeds compared to hard drives.
  • What role does the Address Register play in relation to RAM?

  • It holds the address of the memory location to be accessed. (correct)
  • It controls the overall memory management operations.
  • It determines the speed of data retrieval.
  • It stores the data that is being processed.
  • Which scheduling algorithm processes tasks in the order they arrive?

  • Shortest Job First
  • Round-Robin Scheduling
  • Priority Scheduling
  • First Come First Serve (FCFS) (correct)
  • What is virtual memory primarily used for?

    <p>To enable processes to run without being fully loaded in physical memory. (C)</p> Signup and view all the answers

    Which of the following best describes CPU utilization as a performance metric?

    <p>The effectiveness of keeping the CPU as busy as possible. (A)</p> Signup and view all the answers

    What is the primary purpose of Apache Kafka?

    <p>To provide a platform for real-time data processing (A)</p> Signup and view all the answers

    Which of the following describes a function of Kubernetes?

    <p>It automates the deployment of microservices (C)</p> Signup and view all the answers

    What is a key benefit of running Kafka on Kubernetes?

    <p>Simplified deployment and management of Kafka clusters (B)</p> Signup and view all the answers

    In Kafka, what role do producers play?

    <p>They send messages to Kafka topics (D)</p> Signup and view all the answers

    What is the main function of partitions in Kafka topics?

    <p>To enable parallel processing (B)</p> Signup and view all the answers

    What is the primary responsibility of the kubelet in a Kubernetes cluster?

    <p>Managing the containers running on a node (C)</p> Signup and view all the answers

    Which Kubernetes service type allows external traffic to access a service on a specific port?

    <p>NodePort (C)</p> Signup and view all the answers

    What is the function of a CronJob in Kubernetes?

    <p>To run scheduled tasks at specified intervals (C)</p> Signup and view all the answers

    What mechanism ensures that applications in Kubernetes are functioning correctly?

    <p>Health Checks (A)</p> Signup and view all the answers

    What describes the role of the Kubernetes scheduler?

    <p>It assigns workloads to worker nodes based on resource availability. (C)</p> Signup and view all the answers

    What is the primary advantage of hyperthreading in a CPU?

    <p>It allows multiple threads to run concurrently, improving CPU efficiency. (C)</p> Signup and view all the answers

    Which of these is NOT a common mechanism of Inter-Process Communication (IPC)?

    <p>Packet switching (D)</p> Signup and view all the answers

    What distinguishes multithreading from multitasking?

    <p>Multithreading involves multiple threads within a program, while multitasking is process-based. (B)</p> Signup and view all the answers

    Which technique is used to avoid race conditions in multithreading?

    <p>Semaphore (C)</p> Signup and view all the answers

    In a multiprocessor system, what is a key benefit?

    <p>Higher performance through increased throughput and reliability. (A)</p> Signup and view all the answers

    Flashcards

    What is RAM?

    RAM is a type of temporary memory used by the computer to store data that is actively being used. It allows for quick access to data.

    How is RAM organized?

    Each location in RAM has a unique address, like a house number, allowing the computer to find data quickly.

    What is a process?

    A process is an instance of a program running on the computer, like a word document or a web browser.

    How are processes managed?

    The operating system (OS) uses scheduling algorithms to decide which processes to execute and for how long.

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    What is virtual memory?

    The OS can extend memory virtually, allowing computer to run programs larger than the physical memory available.

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    Apache Kafka

    A distributed event streaming platform built for high-throughput, fault-tolerant data processing. Widely used for building real-time data pipelines and streaming applications.

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    Kubernetes

    A container orchestration platform that automates the deployment, scaling, and management of containerized applications. Provides a robust framework for managing microservices and distributed systems.

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    Kafka on Kubernetes

    A scalable and efficient way to run Kafka on a Kubernetes cluster. Enables automatic updates, health checks, resource allocation, and other features for seamless management.

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    Kafka Brokers

    The central components of a Kafka system responsible for storing and retrieving messages. They act as servers that handle data flow.

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    Kafka Topics

    Categories in Kafka where messages are published, each with multiple partitions to enhance scalability. Used to organize and manage data based on type or purpose.

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    What are Secrets in Kubernetes?

    A Kubernetes object that stores sensitive information, such as passwords or API tokens, securely within a cluster. It ensures that sensitive data is securely stored and managed.

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    What is NodePort service type?

    A service type in Kubernetes that exposes a service on a static port on each worker node's IP address, allowing external traffic to access the service. It allows for direct external access.

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    What is a ConfigMap in Kubernetes?

    A Kubernetes object that stores configuration data separate from container images, allowing applications to be portable. It avoids hardcoding settings in your application code.

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    What are the responsibilities of the Scheduler in Kubernetes?

    A control plane component in Kubernetes that manages the distribution of workloads (Pods) to worker nodes, considering available resources and other constraints. It determines where to run your applications.

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    What is a Kubelet in Kubernetes?

    An agent that runs on each worker node in the Kubernetes cluster, managing the containers running on that node. It communicates with the Kubernetes API server and ensures containers are running as expected.

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    Hyperthreading

    Intel's technology that allows a single CPU core to handle multiple tasks simultaneously by switching between them rapidly

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    Inter-Process Communication (IPC)

    Methods that let different programs running on a computer communicate and share data, enabling them to work together.

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    Synchronization

    A technique that ensures multiple programs accessing a shared resource don't interfere with each other, preventing data corruption.

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    Multitasking

    A program-based approach to running multiple tasks, where each task is a separate program

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    Multithreading

    A thread-based approach to running multiple tasks within the same program, allowing better resource utilization

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    Study Notes

    Operating Systems

    • Definition: Software that manages hardware resources and services for computer programs.
    • Functions: Memory management, process scheduling, and handling input/output operations.
    • Types: Single-user, multi-user, real-time, and distributed.

    Containerization

    • Containers: Lightweight, portable units packaging applications and dependencies for consistent environments across systems.
    • Container Runtime: Software for executing and managing containers (e.g., Docker).
    • Images: Read-only templates used to create containers, including application code and dependencies.

    Virtualization

    • Hypervisor: Software layer allowing multiple virtual machines (VMs) to run on a single physical machine. It manages VMs and allocates resources.
    • Virtual Machines (VMs): Emulated computers running an OS and applications as if physical.

    Distributed Systems

    • Definition: System components located on networked computers communicating and coordinating.
    • Key Concepts: Scalability, reliability, and resource management.
    • Microservices: Architectural style structuring applications as collections of loosely coupled, independently deployable services.

    Infrastructure

    • Definition: Underlying physical and virtual resources supporting applications and services (e.g., servers, storage, networking).
    • Management: Overseeing deployment, scaling, and maintenance of infrastructure components.

    Automation and Scripting

    • Importance: Automation tools and scripting languages (e.g., shell scripting) streamline processes, manage configurations, and deploy applications.

    Networking

    • Protocols: Rules governing data communication over networks (essential for distributed systems and cloud computing).

    Difficult Terms

    • Containerization: A method of virtualization where applications run in isolated environments, sharing the same OS kernel.
    • Hypervisor: Software that runs virtual machines and manages resource distribution.
    • Orchestration: Automated arrangement, coordination, and management of complex computer systems and services.
    • Scalability: Ability to handle increased workload efficiently.
    • Microservices: Architecture with small, independent services communicating over a network.
    • CLI (Command-Line Interface): Text-based interface for interacting with software and operating systems.
    • Docker: Platform automating deployment of applications in lightweight containers.
    • Asciinema: Tool to record and share terminal sessions as text-based videos.

    Operating Systems and Linux

    • Definition of Operating Systems (OS)
    • Types of Operating Systems.
    • Core Components (Kernel, Shell, Utilities).
    • Random Access Memory (RAM)
      • Definition
      • Addressing
      • Address Register
    • Process Management
      • Processes
      • Job, Thread, Task
      • Scheduling Algorithms (FCFS)

    Networking Protocols

    • TCP/IP Model (Layers: Application, Transport, Network, Data Link, Physical).
    • Application, Transport, Network, Data Link, Physical Layer definitions and function
    • Protocols: HTTP, FTP, DNS, TCP, UDP
    • Data Link Layer: MAC Addresses, Switches, Error Detection/Correction.
    • Physical Layer (cables, coding techniques)
    • Routing and Addressing
    • Network Configuration
    • Analogy of Postal Systems
    • Key Technologies and Protocols (VLANs, NAT, DHCP)

    Networking Protocols

    • WebRTC (Web Real-Time Communication)
      • Key Protocols (RTP, RTCP)
    • Video on Demand Protocols (HLS, DASH, RTMP)
    • Data Processing Methodologies (batch, stream)

    Apache Kafka

    • Distributed event streaming platform for high-throughput, fault-tolerant data processing.
    • Wide use in real-time data pipelines and streaming applications.
    • Key features of Kafka on Kubernetes (Automatic Updates, Health Checks, Resource Allocation, Node Management, Access Control).
    • Key Components (Producers, Consumers, Kafka Brokers, Topics, Partitions).
    • Messaging pattern (Publish-Subscribe).
    • Replication and Fault Tolerance
    • CAP Theorem
    • Consumer Offsets
    • Performance Metrics, Integration and Ecosystem

    Kubernetes (Container Orchestration Platform)

    • Overview of Kubernetes
    • Kubernetes Architecture
      • Control Plane: API server, scheduler, controller manager
      • Worker Plane: Nodes running applications (kubelet, kube-proxy)
      • Kubernetes Objects
      • Deployment
      • Services
      • ConfigMaps
      • Secrets
      • Automation and Scaling (autoscaling, cronjobs)
      • Health Checks
      • Networking
      • Persistent Storage
      • Deployment Strategies

    File Systems

    • File Systems Overview (Types, Physical vs. Logical)
    • Data Management (Inodes, Metadata)
    • Storage Devices (HDDs, SSDs, mounting/unmounting)
    • Performance and Optimization (fragmentation, caching, self-healing)
    • Backup and Recovery, redundancy
    • Emerging Technologies (NVMe, ZFS, Btrfs)
    • Directories and File Organization (directory structures, hard and symbolic links)
    • Sectors and Blocks

    Security, Safety and Performance

    • Resist Attacks, Authenticate actors, React to attacks, Revoke Access, Recover from Attacks, Audit
    • Unsafe State Detection, Sanity Check, Containment, Redundancy, Replication, Limit Consequences, Masking, Recovery, Rollback.
    • Control Resource Demand, Limit Event Response, Remove Computational Overhead, Manage Resources.

    Important Concepts

    • Hyperthreading: Allows a single processor to appear as multiple logical processors.
    • Concurrency vs. Parallelism: Concurrency manages multiple tasks concurrently, while parallelism executes tasks simultaneously.
    • Multithreading: Multiple threads within a single program improve CPU usage.
    • Multitasking: Process-based operation handled by the OS.
    • Multiprocessing: Operating systems that use multiple processors to execute multiple tasks at once.
    • Inter-Process Communication (IPC): Methods for allowing programs to communicate.

    Difficult Terms

    • Cache Hit/Miss, Volatile/Non-volatile Memory, Eviction Policy,
    • Mutex, Race Condition

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    Description

    Test your knowledge of Computer Architecture and Kubernetes with this quiz. Answer questions regarding RAM, CPU utilization, as well as the functionalities of Apache Kafka and Kubernetes components. Perfect for students and professionals looking to assess their understanding of these technologies.

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