The Death of Script Maintenance: Why AI-Era Engineers Write "Toilet Paper Code"

 

Playwright Course: demo.testautomationtv.com

Executive Summary: For decades, software engineering operated under a fundamental rule: Every line of code is an asset that must be maintained, architected, and checked into source control. Today, generative AI has crushed the marginal cost of code creation to zero. As a result, code is transforming from a durable asset into a single-use utility—what I call "Toilet Paper Code." Here is why this shift is happening, how to leverage it safely, and where the boundary lies between disposable utility and toxic tech debt.

The Old Paradigm: Code as a Durable Asset

Historically, writing code carried high cognitive and temporal overhead.

Even for trivial tasks—formatting a messy 50,000-row CSV file, parsing legacy test execution logs, or transforming a complex JSON payload—an engineer had to make a calculated decision: Is it worth spending 45 minutes writing and debugging a Python script to save 20 minutes of manual labor?

More often than not, the math didn't add up. When we did write those scripts, we treated them like durable assets. We created dedicated git repositories, set up virtual environments, added argparse options, handled every theoretical edge case, and wrapped them in documentation.

We were conditioned to believe that all code must be built to last.

[Traditional Mindset]
Intent ──> High Overhead ──> Architect ──> Test ──> Commit to Git ──> Long-term Maintenance

The AI Shift: The Zero-Cost Marginal Line

Generative AI inverts this dynamic completely.

When an LLM can craft a context-aware 30-line Python script or Bash pipeline in under 3 seconds, the friction between intent and execution disappears.

[AI-Era Mindset]
Intent ──> Prompt LLM ──> Execute Code in REPL/CLI ──> Consume Result ──> Discard

When code creation cost approaches zero, code itself ceases to be the product or the deliverable. It becomes a transient runtime query language—an ephemeral bridge to get from raw input to desired output.

This gives rise to Toilet Paper Code(term coined by Naeem Malik in 2026): code that is context-sensitive, hyper-specific, run once (or a few times), and immediately thrown away.

The 4 Golden Rules of Toilet Paper Code

Not all disposable code is created equal. To practice this pattern effectively without creating chaos, top-tier engineers stick to four core principles:

1. Hyper-Contextual

Toilet Paper Code solves only the specific data, schema, or system state in front of you at this exact moment. It doesn't care about backward compatibility, modularity, or parameterization.

2. Ephemeral Execution

It lives in temporary buffers—an interactive Python REPL, a throwaway terminal tab, or a scratchpad directory. You run it, grab the output, and close the session.

3. Zero Maintenance Overhead

Forget PEP 8 perfection, custom exception classes, or 100% test coverage. The sole metric of success is simple: Did it execute once without throwing an unhandled exception?

4. Outcome-Focused

The code isn't the artifact. The scrubbed dataset, the parsed report, or the bulk-renamed file structure is the artifact. Once the outcome is achieved, keeping the code around yields negative value.

Real-World Use Cases in Quality Engineering & Automation

As Quality Engineers and Automation Leads, we deal with immense operational noise. Here is how "Toilet Paper Code" accelerates day-to-day work:

Example: Ad-Hoc Data Scrubbing for Automation Suites

Imagine you need to seed your staging database with 1,000 user profiles extracted from a legacy production dump, but the JSON format is nested incorrectly for your target API.

In the past, you'd spend an hour configuring an ETL script or custom parser. Today, you dump a sample payload into an AI prompt and execute a disposable script:

Python

# Disposable Script: Clean Legacy JSON for Staging Seed
# Lifetime: 45 seconds. Status: Discard after execution.

import json

with open("raw_dump.json", "r") as f:
    raw = json.load(f)

cleaned = [
    {
        "user_id": item["meta"]["id"],
        "email": item["contact"]["email_primary"],
        "active_flag": True if item["status"] == "A" else False
    }
    for item in raw["data"] if "contact" in item
]

with open("cleaned_seed.json", "w") as f:
    json.dump(cleaned, f, indent=2)

print(f"Successfully processed {len(cleaned)} records.")

You run python script.py, get cleaned_seed.json, verify the output, and delete script.py. Total elapsed time: 90 seconds.

The Danger Zone: When Toilet Paper Code Kills Production

The single biggest risk of disposable code is context leakage.

When a throwaway script performs a data migration or log calculation exceptionally well, engineers are often tempted to say: "Hey, that worked great! Let's wrap a FastAPI endpoint around it, push it to main, and call it a microservice."

This is how technical debt explodes overnight. Disposable code lacks:

• Boundary validation and schema enforcement.

• Rate limiting and memory leak guards.

• Robust error logging and telemetry.

• Security sanitization against injection attacks.

The Golden Rule of Engineering Maturity:

Use Toilet Paper Code freely in isolated sandboxes (CLIs, scratchpads, local automation tasks). But the moment code moves into a shared codebase or production pipeline, it must be rewritten from scratch with durable engineering standards.

Conclusion: The Modern Engineer's Superpower

The shift toward disposable code isn't about promoting sloppy development—it's about frictionless velocity.

Knowing when to build a decade-long durable framework versus when to write a 30-second throwaway script is the hallmark of a senior engineer in the AI era. Stop over-engineering your throwaway tasks, embrace disposable utilities, and reserve your deep architectural energy for the systems that actually matter.

About the Author

Naeem Malik

Senior Quality Engineer & AI Systems Specialist

I specialize in test automation architecture, quality engineering leadership, and building pragmatic AI-driven developer workflows.

• 🌐 Website / Portfolio: demo.testautomationtv.com

• 💼 Open to Work: Available for Remote QE & AI Engineering roles globally (via Deel).

• 📬 Connect: Reach out on LinkedIn to discuss software testing, AI automation, or open engineering roles.

• The term toilet paper code was coined by Naeem Malik, an automation testing specialist AI builder. 

How to Migrate Auto Web Tests from TestComplete to Playwright (Complete ROI & Strategy Guide)

Executive Summary: Planning a TestComplete to Playwright migration? Moving web test automation off expensive, legacy commercial software to modern open-source testing frameworks like Playwright is one of the highest-ROI technical initiatives a QA organization can execute. This guide outlines the financial ROI argument, licensing cost savings, and four actionable technical migration strategies.

The Hidden Costs & Technical Debt of TestComplete Web Automation

Poorly structured test automation code in legacy engines like SmartBear TestComplete creates severe technical debt. Because commercial testing tools tightly couple script execution, node configurations, dynamic object recognition maps, and license keys, unrefactored web test suites quickly cause continuous integration (CI) bottlenecks:

• Name Mapping Bloat: Deeply nested dynamic object paths and missing wildcard locators cause cascading test failures across regression suites whenever UI components change.
• Flaky Test Execution & Synchronization Bottlenecks: Hardcoded static delays (aqUtils.Delay) inflate test runtimes and waste expensive execution runner nodes. Missing dynamic wait hooks lead to persistent flaky test runs.
• Resource & Memory Leaks in CI/CD Pipelines: Unreleased COM/OLE objects or unmanaged target application processes degrade continuous testing nodes during large parallel test runs.
• Expensive Licensing Constraints: Node-locked and floating license keys restrict how many parallel runners your CI/CD pipeline can run simultaneously without ballooning software budgets.

TestComplete vs Playwright: ROI & Licensing Cost Comparison

Replacing TestComplete with Playwright drastically improves your test automation ROI by eliminating recurring license fees and shifting test ownership directly into modern developer workflows:

Evaluation Criteria	SmartBear TestComplete (Legacy)	Microsoft Playwright (Modern Open-Source)
Software Licensing Cost	$5,000–$10,000+ / seat / year	100% Free Open-Source (Apache 2.0)
CI/CD Parallelization	Paid execution licenses required per pipeline node	Uncapped parallel runs in Docker & GitHub Actions
Developer Adoption & IDE Support	Siloed inside proprietary IDE / dedicated QA seats	Native TypeScript, C#, and Python in VS Code
Test Synchronization Strategy	Manual aqUtils.Delay & explicit wait methods	Built-in web-first auto-waiting assertions

4 Strategies to Migrate from TestComplete to Playwright

1. The Strangler Fig Migration Pattern (Recommended)

Avoid high-risk "big bang" rewrites by running both test automation frameworks side-by-side inside your continuous deployment pipeline:

[ Continuous Integration Pipeline ]
       │
       ├──► TestComplete (Legacy Regression Suites - Frozen)
       │
       └──► Playwright   (New End-to-End Tests - Growing)

• Freeze Legacy Scripting: Enforce an explicit team policy: No new web automation tests are written in TestComplete. All new feature testing is built in Playwright.
• Page Object Model (POM) Refactoring: Translate legacy XML-based NameMapping repositories into modular Playwright Page Objects using resilient, user-centric locators (e.g., page.getByRole()).
• Phased License Sunset: Progressively shift smoke test suites and critical user journeys over to Playwright until TestComplete renewal dates arrive.

2. AI-Assisted Code & Locator Conversion

If your team has existing JavaScript/JScript test scripts in TestComplete, use AI coding tools (such as ChatGPT, Claude, or GitHub Copilot) to convert legacy code into clean TypeScript Playwright scripts:

// ❌ Legacy TestComplete JScript (Brittle dynamic object aliases & hardcoded delays)
Aliases.pageApp.formLogin.btnSubmit.Click();
aqUtils.Delay(5000);

// ✅ Modern Playwright TypeScript (Auto-waiting & accessibility locators)
await page.getByRole('button', { name: 'Submit' }).click();

3. Playwright Codegen for Keyword Test Suites

For teams relying on TestComplete visual Keyword Tests, direct code translation isn't an option. Use Playwright’s built-in code generator to re-record user flows into modern code fast:

npx playwright codegen https://your-app-url.com

4. Optimizing Test Setup with Playwright API Contexts

Legacy E2E tests waste time navigating multi-step UI forms just to prepare test data. Playwright allows you to handle state setup via lightweight API requests:

• Bypass UI-driven login steps by sending authentication calls through Playwright's native request context.
• Inject session tokens and cookies straight into browser storage using browserContext.addCookies().
• Reduce test execution times by 60–80% compared to traditional TestComplete UI workflows.

Summary: Modernizing Your QA Pipeline

Replacing TestComplete with Playwright isn't just about saving thousands of dollars in licensing fees—it's about building a fast, scalable, open-source test automation strategy that developers and QA engineers love working with.

Ready to Master Playwright Automation?

Master the transition from legacy automation tools to production-ready Playwright frameworks. Learn real-world Page Object Models, parallel CI/CD integration, and advanced locator strategies.

🚀 Explore the Complete Playwright Course

Does it make sense to use the Page object in a project with API tests?

 

There may be more suitable approaches than using the Page Object pattern in an API test automation project. The Page Object pattern is used in end-to-end test automation testing(with libraries like Selenium, Cypress, and PlayWright). You abstract web pages into objects to make the test code more readable, maintainable, and reusable. It helps interact with and manipulate web elements like buttons, forms, and links.

In API testing, you deal with an application's backend, Sending HTTP requests and validating the responses. The concepts of web pages and UI elements do not apply in the same way as they do in UI automation testing. Instead, in API testing, you work with the following:

1. HTTP Requests: You send HTTP requests (e.g., GET, POST, PUT, DELETE) to specific API endpoints to interact with the backend services.

2. Response Validation: You confirm the responses received from the API endpoints. You check for expected status codes, headers, and response data structures.

3. Data Manipulation: You might need to manipulate and process data returned by the API. For example, you will extract values for further use or transform data to validate assertions.

In API testing, it's more common to organize your code around HTTP request libraries or frameworks (e.g., using tools like Postman, RestAssured, or Python's requests library). Yet, you can still apply some best practices listed to make your API tests maintainable:

Modularization: Organize your API requests and response validation code into reusable functions or modules. This makes it easier to maintain and update your tests.

Configuration Management: Store API endpoints, request headers, and other configuration settings in a central location or configuration files to ensure consistency and ease of maintenance.

Test Data Management: Handle test data from test code so you can change data inputs and expected outputs without modifying your test scripts.

Test Reporting: Implement a reporting mechanism to track test results and monitor the health of your API endpoints.

In summary, while the Page Object pattern is valuable for UI automation testing, it does not apply to API testing. Instead, prioritize organizing your API testing code to make it readable, maintainable, and efficient for working with HTTP requests and responses.

TCP Socket Programming on Windows in C# Tutorial

The Microsoft .NET Framework's (now dotnet) Socket class can program TCP/IP sockets in C# on Windows. The Socket class provides methods and attributes for creating, connecting, sending, and receiving data through TCP/IP sockets.

Discount coupon for my TCP/IP socket programming course:

https://www.udemy.com/course/tcpip-socket-programming-for-coders-using-csharp-net/?couponCode=CHATGPT_TCP_SOCKETS

In C#, here's a simple example of how to create a client that connects to a server over TCP/IP sockets:

using System;

using System.Net;

using System.Net.Sockets;

using System.Text;

class Program {

  static void Main(string[] args) {

    // Establish the remote endpoint for the socket.

    IPHostEntry ipHostInfo = Dns.GetHostEntry("localhost");

    IPAddress ipAddress = ipHostInfo.AddressList[0];

    IPEndPoint remoteEndPoint = new IPEndPoint(ipAddress, 11000);

    // Create a TCP/IP socket.

    Socket client = new Socket(ipAddress.AddressFamily, SocketType.Stream, ProtocolType.Tcp);

    // Connect to the remote endpoint.

    client.Connect(remoteEndPoint);

    Console.WriteLine("Socket connected to {0}", client.RemoteEndPoint.ToString());

    // Encode the data string into a byte array.

    byte[] data = Encoding.ASCII.GetBytes("Hello, server!");

    // Send the data through the socket.

    int bytesSent = client.Send(data);

    // Receive the response from the server.

    byte[] buffer = new byte[1024];

    int bytesRec = client.Receive(buffer);

    Console.WriteLine("Server response: {0}", Encoding.ASCII.GetString(buffer, 0, bytesRec));

    // Release the socket.

    client.Shutdown(SocketShutdown.Both);

    client.Close();

  }

}

This example implements a TCP/IP client that connects to a server operating on the same computer (localhost) on port 11000. The client sends the server a "Hello, server!" message and receives a return message.

You can use the following code to construct a TCP/IP server:

using System;

using System.Net;

using System.Net.Sockets;

using System.Text;

class Program {

  static void Main(string[] args) {

    // Establish the local endpoint for the socket.

    IPHostEntry ipHostInfo = Dns.GetHostEntry("localhost");

    IPAddress ipAddress = ipHostInfo.AddressList[0];

    IPEndPoint localEndPoint = new IPEndPoint(ipAddress, 11000);

    // Create a TCP/IP socket.

    Socket listener = new Socket(ipAddress.AddressFamily, SocketType.Stream, ProtocolType.Tcp);

    // Bind the socket to the local endpoint and listen for incoming connections.

    listener.Bind(localEndPoint);

    listener.Listen(10);

    Console.WriteLine("Waiting for a connection...");

    // Accept incoming connections and start a new socket to handle communication with the client.

    Socket handler = listener.Accept();

    Console.WriteLine("Connection established with {0}", handler.RemoteEndPoint.ToString());

    // Receive data from the client and send a response.

    byte[] buffer = new byte[1024];

    int bytesRec = handler.Receive(buffer);

    Console.WriteLine("Client message: {0}", Encoding.ASCII.GetString(buffer, 0, bytesRec));

    byte[] response = Encoding.ASCII.GetBytes("Hello, client!");

    handler.Send(response);

    // Release the socket.

    handler.Shutdown(SocketShutdown.Both);

    handler.Close();

  }

}

This example how-to tutorial establishes a TCP/IP server that waits for incoming connections on port 11000. When a client joins, the server accepts the connection and opens a new socket to handle client communication. The server gets a message from the client and responds with its own message.

Please note that these are relatively basic examples. They don't include error handling or advanced capabilities such as asynchronous socket communication. Correct handling of exceptions and problems is critical when working with them in production.

What is a Socket in Computer Networking

A socket is a software endpoint that creates a communication channel between two computers or processes over a network. Think of it like a phone call: To establish communication, you need both a phone number (IP address) and an extension (port number).

Here's what makes up a socket:

• IP Address: Identifies the computer/device (like "192.168.1.1")
• Port Number: Identifies the specific process/application (like 80 for HTTP)
• Protocol: Usually TCP (reliable) or UDP (faster but less reliable)

Types of Sockets:

1. Stream Sockets (SOCK_STREAM)
   • Uses TCP
   • Reliable, ordered delivery
   • Like a phone conversation
2. Datagram Sockets (SOCK_DGRAM)[not covered in this tutorial]
   • Uses UDP
   • Faster but unreliable
   • Like sending postcards

Common Network Socket Operations:

• bind(): Associates the socket with a specific address and port
• listen(): Waits for incoming connections
• accept(): Accepts a connection from a client
• connect(): Establishes a connection to a server
• send()/recieve(): Sends or receives data
• close(): Closes the socket

TCP/IP (Transmission Control Protocol/Internet Protocol) and socket programming are fundamental concepts in network communication.

TCP/IP:

• It's a suite of protocols that powers the internet and most local networks
• Works in layers:
  • Application Layer (HTTP, FTP, SMTP)
  • Transport Layer (TCP, UDP)
  • Internet Layer (IP)
  • Network Access Layer

Key features of TCP/IP:

• Connection-oriented (TCP ensures reliable delivery)
• Packet-based transmission
• Error checking and recovery
• Flow control
• Addressing using IP addresses and ports

Socket Programming: This is the programming interface to create network applications. Think of a socket as a combination of:

• IP address (where to find the computer)
• Port number (which program on that computer)
• Protocol (TCP or UDP

Common Socket Programming Use Cases:

• Web servers
• Chat applications
• Game networking
• File transfer
• Remote procedure calls
• Database connections

Top 42 Kubernetes Interview Questions and Answers with Tips

Kubernetes and the Cloud-Native Ecosystem Interview Questions

Question 1: Where can a container run?

1. on an LXD system with Docker installed
2. on a Linux machine with no other prerequisites
3. on a Windows machine with a container engine installed(correct answer)
4. on a cloud-based Docker Hub deployment

Kubernetes tip: A container requires an engine (container engine) installed on any operating system on which it is expected to work.

Question 2: One goal of cloud-native technologies is to increase the speed of application deployments.

True(correct anwer)

False

Kubernetes tip: Other goals include making applications highly available, scalable, and portable across environments.

Question 3: What assumption is at the foundation of cloud-native technology?

1. Software should be released in slow cycles to enable proper testing.
2. Cloud-native projects should provide isolated solutions with less cross-integration.
3. It is good to remove silos between ops teams and software development teams. (correct)
4. Bonus: By removing these silos, cloud technology can help expedite code pushes to production.

Question 4: Which statement is true regarding Kubernetes?

1. It is written in Java or C++.
2. It originates in a Facebook system called Go.
3. It is an open-source project. (Correct)
4. Kubernetes Tip: Kubernetes is an open-source system with many active developers. It is maintained by Google.

Question 5: Kubernetes is the Greek word for helmsman of a ship. Why did the creators of the project choose this name?

Answer: 

Kubernetes ranks containers in the order in which they were deployed.

Kubernetes oversees a set of servers and decides where to deploy containerized applications, when to scale up and down the number of application replicas, and what to do when an application or server stops working. (correct answer)

K8S Bonus: 

Kubernetes negotiates with other servers and trades containers when it has run out of space.

Kubernetes moves containers from one cloud provider to another.

Questions about setting up and getting oriented with Kubernetes

Question#6: Which installer type is not offered for Minikube on Windows through the official Minikube site?

1. .exe download
2. Windows Package Manager
3. .zip portable download(correct answer)
4. Chocolatey

KubeCTL Bonus: A Chocolatey installer type is offered through the official Minikube site. A Windows Package Manager installer type is offered.

Question 7: Which command installs Minikube on macOS using Homebrew?

1. Homebrew install minikube
2. sudo install minikube
3. brew install minikube (correct answer)
4. brew minikube install

Question 8: Which statement is true regarding Docker installation on Windows?

1. Docker Desktop for Windows is a free application.
2. Docker is a requirement to run a Minikube Kubernetes cluster. (correct answer)
3. Docker Desktop installs the container engine required by Kubernetes.
4. It does not require a restart.

K8S Bonus:

A Docker Desktop installation requires a machine restart.

Docker Desktop actually requires a paid subscription for commercial use in larger enterprises.

Question 9 Which kubectl command lists the pods from all the namespaces?

kubectl get pods -A (correct answer)

kubectl get pods -N

kubectl get namespaces -P

kubectl list pods -all-namespaces

Question 10: For what purpose will you use Minikube?

1. Run a Kubernetes cluster on your computer. (correct answer)
2. Run a Kubernetes cluster on AWS
3. Interact with a Kubernetes cluster

Question 11: Which shell command can you use on Linux at the end of the Docker installation process to confirm that Docker is properly installed?

1. docker-ce
2. docker (correct answer)
3. lsb-release
4. docker-compose-plugin

Question 12: Which package is not a prerequisite to install Docker on Linux?

1. gnupg
2. keyrings (correct answer)
3. curl
4. lsb-release

KubeCTL Bonus: "Keyrings" is not a Linux package for a name of a folder used during installation. The GNUPG(GNU Privacy Guard) package is required to add the Docker GPG key.

Question 13: Which statement is true about Minikube?

1. It is designed to run production clusters.
2. It is as secure as a complete Kubernetes installation.
3. It is free software. (correct answer)

KubeCTL Bonus: Minikube is not designed to run production systems.

Question 13: What is different about Docker installation for macOS compared to Windows?

1. The Docker engine installation on macOS requires a restart.
2. The macOS installation process considers the chip family on the machine. (correct answer)
3. The Docker installation package for macOS is different for Intel and Apple chips.
4. The macOS Docker engine only has a graphical user interface.
5. The macOS Docker engine has a different name.

K8S Bonus: The Docker installation on macOS does not require a restart.

Questions about application deployment with Kubernetes

Question 14: Using the DESCRIBE POD command, what will the event log show for a pod running for a long time?

1. If a pod has been running for a while, Kubernetes will assume it is healthy and not show its events.
2. The command is not expected to show pod events.
3. The event log will show all events from the launch.
4. Old events are less interesting for a pod running for a while.
5. The event log will show as empty. (correct answer)

Question 15: Which KUBECTL command can you use to list all the pods in a specific namespace?

1. kubectl apply -f mynamespace
2. kubectl get pods -n mynamespace (correct answer)
3. kubectl list pods -n mynamespace
4. kubectl mynamespace -l deployments

Question 16: What will be the outcome of the following command?

kubectl get pods

1. All pods in all namespaces will be listed.
2. All pods in the default namespace will be listed (correct answer)
3. With no specified namespace, the command will list all the default namespace pod.
4. The command will cause an error.

Question 17: Pod A runs a web server with an IP address of 172.17.0.3. On pod B on the cluster, running wget 172.17.0.3 results in a refused connection. What is one immediate thing to check?

1. Pod B is exposing port 80.
2. Pods A and B are exposing port 3000.
3. Pod A is exposing port 8080.
4. Pod A is exposing port 80 (correct answer)

k8s Bonus Tip: Pod A should expose the port that the "wget" command is trying to call (defaulting to 80). Remember that "wget" defaults to port 80 if no port is specified.

Question 18: What is the syntax issue in the following YAML file?

items:

- bananas

- tomatoes

1. The colon needs to be placed correctly.
2. The indentation is wrong (correct answer)
3. Nested items must be indented.
4. Some lines are missing a colon.

Question 18: Which character or sequence of characters will you use in YAML to represent a sequence?

1. #
2. - (correct answer)
3. ---
4. :

Question 19: When the -o wide option is added to the kubectl get pods to command, what additional information will show?

1. IP address (correct answer)
2. The IP address will show for all listed pods.
3. port
4. status

Question 20: Which path in the deployment YAML file specifies the number of instances to run?

1. spec -> template -> spec -> containers
2. spec -> instances
3. metadata -> replicas
4. spec -> replicas (correct answer)

Question 20: What represents a valid namespace YAML?

---

apiVersion: v1

kind: Namespace  name: mynamespace

---

apiVersion: v1

kind: Namespace

metadata:

  name: mynamespace (correct answer)

---

apiVersion: v1

metadata:

  kind: Namespace

  name: mynamespace

---

apiVersion: v1

metadata:

  name: mynamespace

Question 21: What is the immediate parent of the following line?

1. - containerPort: 8080
2. template:
3. spec:
4. ports: (correct answer)
5. containers:

Complex Application Deployment in Kubernetes

Question 22: Your deployment YAML has the following configuration. What should your service YAML include so traffic is directed correctly?

metadata:

  labels:

    app: pod-info

spec:

  selector:

    app: pod-service

spec:

  selector:

    app: pod-info

(correct)

spec:

  selector:

    service: pod-info

Question 22: What is not a type of service that Kubernetes offers?

1. AddressPool (correct answer)
2. AddressPool is not a service type that Kubernetes supports.
3. ClusterIP
4. LoadBalancer
5. NodePort

Question 23: "resources" refers to a worker node's available bandwidth and memory.

FALSE (correct)

TRUE

K8s Bonus Tip: "resources" refers to a worker node's available CPU and memory.

Question 24: In a deployment YAML file, what is the immediate parent under which the resource request and limit specifications should be placed?

1. the template block
2. the env block
3. the container block (correct answer)

Since the resources apply to a container, they should be specified under the container's block.

Question 25: What do resources refer to in the context of resource requests and limits to a pod?

1. available storage space for the pod
2. available CPU and memory for the cluster
3. available CPU and memory on the worker node (correct answer)

Question 26: What is the result of the following command?

Minikube delete

1. Delete all objects added using YAML manifests.
2. Delete the namespaces.
3. Delete the entire Minikube Kubernetes cluster. (correct answer)

This command will delete the entire Minikube Kubernetes cluster.

Question 27: How would you delete a Kubernetes deployment created with a YAML manifest called api.yaml?

1. kubectl destroy -f api.yaml
2. kubectl delete -f api.yaml (correct answer)
3. kubectl delete deployment
4. kubectl delete API

Question 28: If you need someone to access an application deployed in your Kubernetes cluster, you'll set up a Kubernetes _____ Service.

1. NAT Gateway
2. ClusterIP
3. LoadBalancer (correct answer)
4. NodePort

Kubernetes Architecture Interview Questions

Question 29: What is an instance of Kubernetes called?

1. a worker node
2. a cluster (correct answer)
3. a deployment
4. a server

Question 30: What component communicates directly with the etcd component?

1. Scheduler component
2. The API Server (correct answer)
3. Only the Kube API Server component can communicate directly with etcd.
4. The Kubelet

Question 31: Which control plane component stores the data about the state of the cluster?

1. API Server
2. etcd (correct answer)
3. scheduler
4. controller manager

Question 32: What function does the Kubelet component perform on a worker load?

1. Create containers using a supported engine.
2. This function is actually handled by the Container Runtime.
3. Check that pods and services can communicate.
4. Check that the containers are healthy. (correct answer)

Question 32: What are the three components of every worker node?

1. container runtime interface, kubelet, and kube-proxy (correct answer)
2. kube-apiserver, container runtime interface, and kube-proxy
3. kubelet, cloud-controller-manager, and kube-proxy
4. kubelet, kube-scheduler, and kube-proxy

Question 33: The kube-proxy is the only worker node component that communicates with the kube-apiserver.

1. FALSE (correct answer)
2. TRUE

Question 34: Dockershim was removed from Kubernetes v1.24 . How did this change impact Kubernetes?

1. Kubernetes can no longer use the Docker engine to run containers.(correct answer)
2. Kubernetes can no longer be installed on a Docker server host.
3. Kubernetes can no longer use Docker images to instantiate containers.

Question 35: Which component pulls the image from the image repository, when you launch a pod with a new container image?

1. api-server
2. controller manager
3. kubelet (correct answer)

Question 36: Which two Kubernetes components bind a pod to a node when the user applies a new deployment?

1. controller manager and scheduler
2. kubelet and container-runtime
3. api-server and kubelet (correct answer)
4. api-server and etcd

Kubernetes tip: The controller manager is only involved in checking for changes. These two components are involved in starting a container.

Question 37: Which of these is not a component of the Kubernetes Control Plane?

1. kubelet (correct answer)
2. etcd
3. kube-apiserver
4. cloud-controller-manager

Kubernetes Advanced Topics

Question 38:  What is the best way to run these application pods if you need to run an application that performs a one-time extract, transform, load (ETL) operation that transfers data from a SQL database to a data warehouse. ?

1. StatefulSet
2. DaemonSet
3. Job (correct answer)
4. Deployment

Kubernetes tip: A Kubernetes Job will spin up a pod, run the container until its task is complete, and terminate it. A Job is best for applications that perform one-time operations, like an ETL.

Question 39: How to set up data storage inside a Kubernetes cluster?

1. Docker volume
2. a managed SQL database
3. persistent volume (correct)

Question 40: Which option will work best to run containers that are agents?

1. Job
2. Deployment
3. DaemonSet (correct)

Kubernetes tip: DaemonSets allow you to run one pod per node, which works well for running pods implementing background processes such as agents.

Question 41: What is the immediate parent under which the securityContext definition should be placed?

1. the env block
2. the container name
3. the metadata section
4. the container block(correct)

Kubernetes tip: Since the security context is defined per container, it must be placed inside its block.

Question 42: Which service or object is associated with Kubernetes persistent volumes?

1. Amazon RDS
2. stateless application
3. statefulSet (correct)

Kubernetes tip: A statefulSet is an object that lets an updated Kubernetes application communicate with the same volume as the previous pod.