Daily Archives: November 29, 2025

90+ Cloud & DevOps Interview Questions with Hands-On POCs Demos for Job Mastery

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90+ Cloud & DevOps Interview Questions with Hands-On Demos for Job Mastery

Hands-On AWS Mastery for Job Interviews – Demos

1. AWS Load Balancers

  • What are the differences between Application Load Balancer and Network Load Balancer?
  • How would you configure health checks for a load-balanced EC2 setup?
  • How does session stickiness work in AWS ELB?
  • What are the security considerations when exposing a web app via ELB?
  • How do you integrate ELB with Auto Scaling groups?

2. AWS VPC Peering

  • What are the limitations of VPC peering across regions?
  • How do route tables need to be configured for successful peering?
  • Can you peer two VPCs with overlapping CIDR blocks?
  • How would you troubleshoot connectivity issues between peered VPCs?
  • What are the billing implications of VPC peering?

3. Amazon S3 Usage

  • How do you configure lifecycle policies for archival and deletion?
  • What’s the difference between S3 Standard and S3 Intelligent-Tiering?
  • How do you secure S3 buckets against public access?
  • How would you enable versioning and handle object recovery?
  • What are common use cases for S3 event notifications?

4. MongoDB on EC2 with NAT Gateway

  • Why use a NAT Gateway in MongoDB deployment?
  • How do you secure MongoDB access on EC2?
  • What are the steps to install and configure MongoDB on Ubuntu EC2?
  • How do you monitor MongoDB performance in AWS?
  • What backup strategies would you recommend for MongoDB on EC2?

5. WordPress & MariaDB on LAMP

  • How do you configure Apache and PHP for WordPress performance?
  • What are the steps to connect WordPress to MariaDB securely?
  • How do you migrate an existing WordPress site to this stack?
  • What are common security hardening steps for LAMP?
  • How do you enable SSL for WordPress on LAMP?

6. Terraform Demos

  • What is the purpose of terraform init, plan, and apply?
  • How do you manage state files securely in a team?
  • What’s the difference between count and for_each in Terraform?
  • How do you handle environment-specific variables?
  • How would you modularize Terraform code for reuse?

7. Intranet POCs

  • What are key components of a secure intranet architecture?
  • How do you restrict access to internal services in AWS?
  • What role does Route 53 play in intranet DNS resolution?
  • How do you simulate internal-only traffic for testing?
  • What monitoring tools would you use for intranet health?

8. AWS CloudFormation Templates and POCs

  • How do you structure a reusable CloudFormation template?
  • What’s the difference between parameters and mappings?
  • How do you handle rollback scenarios in failed deployments?
  • How do nested stacks improve modularity?
  • What are best practices for tagging resources in templates?

9. Infrastructure as Code (IAC) Design

  • How do you convert manual architecture diagrams into IAC?
  • What tools would you use to validate IAC syntax and logic?
  • How do you ensure idempotency in IAC deployments?
  • What’s the role of CI/CD in IAC workflows?
  • How do you document IAC for team onboarding?

10. On-Premises AD to AWS AD Migration

  • What are the steps to sync users from on-prem AD to AWS Managed AD?
  • How do you handle DNS resolution between on-prem and AWS?
  • What tools assist in AD migration and replication?
  • How do you secure AD traffic over VPN or Direct Connect?
  • What are common pitfalls in AD trust relationships?

11. Docker Demos

  • How do you build and tag Docker images for deployment?
  • What’s the difference between Docker volumes and bind mounts?
  • How do you orchestrate containers using Docker Compose?
  • How do you secure Docker containers in production?
  • What are best practices for Dockerfile optimization?

12. Live Tasks & Screen Operations

  • How do you document live task execution for auditability?
  • What tools help capture screen operations in real time?
  • How do you handle errors during live deployment?
  • What’s your approach to rollback in live environments?
  • How do you ensure accessibility in screen walkthroughs?

13. EBS Volumes Setup and Usage

  • How do you attach and mount EBS volumes to EC2?
  • What’s the difference between gp3 and io2 volume types?
  • How do you resize EBS volumes without downtime?
  • What are snapshot strategies for EBS backups?
  • How do you monitor EBS performance metrics?

14. AWS EBS Volumes Usage

  • How do you encrypt EBS volumes at rest?
  • What’s the lifecycle of an EBS volume from creation to deletion?
  • How do you automate EBS provisioning with IAC?
  • What are common use cases for multi-volume EC2 setups?
  • How do you troubleshoot EBS latency issues?

15. POC Demos

  • What defines a successful cloud POC?
  • How do you scope and document a POC?
  • What metrics do you track during a POC?
  • How do you transition from POC to production?
  • What are common blockers in POC execution?

16. EFS Demos

  • How do you mount EFS across multiple EC2 instances?
  • What’s the difference between EFS and EBS?
  • How do you secure EFS access using IAM and security groups?
  • What are performance modes in EFS?
  • How do you monitor EFS usage and billing?

17. AWS AMI Usage

  • How do you create a custom AMI from an EC2 instance?
  • What are the benefits of using AMIs in Auto Scaling?
  • How do you share AMIs across accounts?
  • What’s the lifecycle of an AMI update?
  • How do you automate AMI creation in CI/CD?

18. AWS Boto3 Solution Demos

  • How do you authenticate Boto3 scripts securely?
  • What are common use cases for Boto3 automation?
  • How do you handle pagination in Boto3 API calls?
  • How do you manage EC2 instances using Boto3?
  • What’s the best way to log and monitor Boto3 scripts?

For the real demos of the above tasks:

https://kqegdo.courses.store/418972?utm_source%3Dother%26utm_medium%3Dtutor-course-referral%26utm_campaign%3Dcourse-overview-webapp

Hands-On AWS Mastery for Job Interviews – Demos

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🌐 Offering: AWS Hands-On Mastery for Job Interviews – Demos

Position yourself with confidence in cloud, DevOps, and infrastructure interviews.
This offering provides a structured library of practical demos, each designed to showcase real-world skills that recruiters and hiring managers value. Every module is QA-locked, scenario-driven, and built for async learning.

🔑 What You’ll Gain

  • Proof-backed skills: Demonstrate mastery in AWS, DevOps, and cloud infrastructure with live demos.
  • Recruiter-grade confidence: Each module aligns with interview scenarios and technical assessments.
  • Accessibility-first design: Short, focused video sets for rapid learning and recall.
  • Modular progression: Move from foundational tasks (S3, Load Balancers) to advanced workflows (Terraform, Docker, AD migration).

📘 Modules Included

  • AWS Load Balancers – 4 videos
  • AWS VPC Peering – 6 videos
  • Amazon S3 Usage – 5 videos
  • MongoDB on EC2 with NAT Gateway – 1 video
  • WordPress & MariaDB on LAMP – 1 video
  • Terraform Demos – 5 videos
  • Intranet Proof-of-Concepts – 2 videos
  • AWS CloudFormation Templates & POCs – 4 videos (two sets)
  • Infrastructure as Code (IAC) Design – 3 videos
  • On-Premises AD Migration to AWS AD – 3 videos
  • Docker Demos – 7 videos
  • Live Tasks & Screen Operations – 1 video
  • EBS Volumes Setup & Usage – 6 videos (two sets)
  • POC Demos – 1 video
  • EFS Demos – 4 videos (two sets)
  • AWS AMI Usage – 2 videos
  • AWS Boto3 Solution Demos – 1 video

🎯 Who This Is For

  • Job seekers preparing for cloud/DevOps interviews
  • Consultants needing recruiter-grade proof assets
  • Learners seeking hands-on mastery in AWS and infrastructure

🏆 Why It Stands Out

This isn’t just a video library. It’s a modular interview accelerator — designed to help you show, not just tell your skills. Recruiters trust proof-backed demos, and this offering equips you with exactly that.

Would you like me to package this into a market-facing brochure text (shorter, punchier, client-ready) or a carousel-style pitch deck with posture-driven bullets and branded signature?

Here’s how we can frame your curated Hands-On Mastery for Job Interviews – Demos library as a professional offering for recruiters, learners, or consulting clients. I’ve written it in a recruiter-grade, market-facing style that emphasizes value, accessibility, and proof-backed mastery:

🌐 Offering: Hands-On Mastery for Job Interviews – Demos

Position yourself with confidence in cloud, DevOps, and infrastructure interviews.
This offering provides a structured library of practical demos, each designed to showcase real-world skills that recruiters and hiring managers value. Every module is QA-locked, scenario-driven, and built for async learning.

🔑 What You’ll Gain

  • Proof-backed skills: Demonstrate mastery in AWS, DevOps, and cloud infrastructure with live demos.
  • Recruiter-grade confidence: Each module aligns with interview scenarios and technical assessments.
  • Accessibility-first design: Short, focused video sets for rapid learning and recall.
  • Modular progression: Move from foundational tasks (S3, Load Balancers) to advanced workflows (Terraform, Docker, AD migration).

📘 Modules Included

  • AWS Load Balancers – 4 videos
  • AWS VPC Peering – 6 videos
  • Amazon S3 Usage – 5 videos
  • MongoDB on EC2 with NAT Gateway – 1 video
  • WordPress & MariaDB on LAMP – 1 video
  • Terraform Demos – 5 videos
  • Intranet Proof-of-Concepts – 2 videos
  • AWS CloudFormation Templates & POCs – 4 videos (two sets)
  • Infrastructure as Code (IAC) Design – 3 videos
  • On-Premises AD Migration to AWS AD – 3 videos
  • Docker Demos – 7 videos
  • Live Tasks & Screen Operations – 1 video
  • EBS Volumes Setup & Usage – 6 videos (two sets)
  • POC Demos – 1 video
  • EFS Demos – 4 videos (two sets)
  • AWS AMI Usage – 2 videos
  • AWS Boto3 Solution Demos – 1 video

🎯 Who This Is For

  • Job seekers preparing for AWS cloud/DevOps interviews
  • Consultants needing recruiter-grade proof assets
  • Learners seeking hands-on mastery in AWS and infrastructure

🏆 Why It Stands Out

This isn’t just a video library. It’s a modular interview accelerator — designed to help you show, not just tell your skills. Recruiters trust proof-backed demos, and this offering equips you with exactly that.

Visit this URL for browsing the live tasks AWS course videos:

Hands-On Mastery for Job Interviews – Demos

https://kqegdo.courses.store/418972?utm_source%3Dother%26utm_medium%3Dtutor-course-referral%26utm_campaign%3Dcourse-overview-webapp

Best Practices for Prompt Engineering (with Business Examples)

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Best Practices for Prompt Engineering (with Business Examples)

This “Best Practices for Prompt Engineering with Examples“, is with 3 business examples for each practice for easy application.

How to get the most accurate, actionable, and high-impact results from AI tools.

Prompt engineering is now a critical skill for professionals, leaders, and creators. Whether you’re drafting reports, analyzing data, writing emails, or designing workflows, the quality of your prompts directly shapes the quality of the AI output.
Here are the 20 best practices for prompt engineering, each paired with three practical business examples you can use immediately.

1. Be Specific

The clearer your request, the better the output. Avoid vague terms like “explain” or “write something.”

Examples:

  1. “Write a 150-word summary of this customer feedback in bullet points.”
  2. “Create a list of 5 KPIs for an e-commerce marketing team.”
  3. “Draft a 10-line WhatsApp-style message announcing a product update.”

2. Define the Role

Give the AI a role so it adopts the right tone and expertise.

Examples:

  1. “Act as a CFO and analyze the financial risks in this plan.”
  2. “Act as an HR expert and rewrite this policy in simple language.”
  3. “Act as a sales coach and rewrite this pitch to improve closing rates.”

3. Give Context

Provide background, goals, constraints, and details.

Examples:

  1. “We are a SaaS startup targeting small clinics; write website copy for them.”
  2. “Summarize this report for a board meeting where members prefer short insights.”
  3. “Rewrite this marketing email for customers who recently abandoned their carts.”

4. State the Format

Tell the AI how you want the answer structured.

Examples:

  1. “Give me a table comparing AWS, GCP, and Azure.”
  2. “Create a 6-step SOP in bullet points.”
  3. “Write a 3-section executive summary (context, insights, recommendations).”

5. Set the Tone

Tone changes the impact of your communication.

Examples:

  1. “Write this investor email in a confident but respectful tone.”
  2. “Write this product description in a friendly, non-technical tone.”
  3. “Write a formal memo to staff about the policy change.”

6. Break Down Tasks

Split complex tasks into smaller tasks for accuracy.

Examples:

  1. “First analyze the problem, then propose solutions, then prioritize them.”
  2. “Step 1: Summarize customer reviews; Step 2: Identify patterns.”
  3. “Write the outline first. After I approve, write the full article.”

7. Show Examples

Provide samples so AI can mirror style, formatting, or tone.

Examples:

  1. “Write a case study in the same style as the sample below.”
  2. “Rewrite this LinkedIn post to match this writing style.”
  3. “Create a sales script similar to this example but shorter.”

8. Use Constraints

Limit length, complexity, or vocabulary.

Examples:

  1. “Explain this concept in under 100 words.”
  2. “Write this in simple English for a 12-year-old reader.”
  3. “Give me only bullet points, no paragraphs.”

9. Ask for Multiple Options

Options help you compare and refine.

Examples:

  1. “Give me 3 versions of this email in different tones.”
  2. “Suggest 5 tagline options for this campaign.”
  3. “Give me 3 alternatives to this process workflow.”

10. Use Iterative Refinement

Ask AI to improve its earlier answers.

Examples:

  1. “Rewrite version 2 with more confidence and fewer words.”
  2. “Improve this SWOT analysis by adding market data points.”
  3. “Enhance this proposal with more clarity and structure.”

11. Ask for Missing Details

Let the AI request clarification.

Examples:

  1. “Before writing, ask me any questions you need for perfection.”
  2. “Ask for missing data before creating the financial forecast.”
  3. “Ask clarifying questions before drafting the contract summary.”

12. Use Step-by-Step Reasoning

Structure thinking → better answers.

Examples:

  1. “Think step-by-step and list the logic behind your recommendation.”
  2. “Break your reasoning into steps before giving the final result.”
  3. “Show your calculation process before giving the projection.”

13. Avoid Ambiguity

Replace vague words with precise instructions.

Examples:

  1. “Instead of ‘improve this’, say ‘make it shorter and more persuasive’.”
  2. “Specify whether ‘report’ means PDF-style, bullet-style, or narrative.”
  3. “Instead of ‘suggest ideas’, say ‘give me 10 marketing ideas for Instagram only’.”

14. Clarify the Audience

Audience determines style, tone, and depth.

Examples:

  1. “Write this for first-time home buyers.”
  2. “Create this training manual for interns.”
  3. “Prepare this strategy note for senior leadership.”

15. Restrict Unwanted Behavior

Tell the AI what not to include.

Examples:

  1. “Avoid jargon and keep explanations simple.”
  2. “Do not add extra assumptions; stick to the data.”
  3. “Avoid motivational language; keep it strictly factual.”

16. Use Rewriting Instructions

Rewrite the same text in different versions.

Examples:

  1. “Rewrite this email in three tones: formal, friendly, and urgent.”
  2. “Shorten this proposal to half its length.”
  3. “Rewrite this blog as a LinkedIn post.”

17. Request Validation

Ask AI to check its own output.

Examples:

  1. “Review this proposal for gaps or inconsistencies.”
  2. “Check this financial summary for errors.”
  3. “Validate this process flow: identify missing or unclear steps.”

18. Use Multi-Step Commands

Tell AI to complete tasks sequentially.

Examples:

  1. “Step 1: Analyze the data; Step 2: Write insights; Step 3: Recommend actions.”
  2. “Read this case study, then summarize, then extract 5 key lessons.”
  3. “Evaluate the risks first, then propose mitigations.”

19. Chain Prompts Together

Use one response as input for the next.

Examples:

  1. “Use the outline you created to now write the full article.”
  2. “Take these marketing ideas and turn them into a quarterly plan.”
  3. “Convert this SWOT analysis into a board-ready presentation.”

20. Clarify the Intent

Explain the purpose so AI produces relevant, aligned output.

Examples:

  1. “This summary is for a C-level meeting — keep it crisp and data-focused.”
  2. “This email aims to re-engage inactive customers — keep it persuasive.”
  3. “I need this report for an investor pitch — highlight growth potential.”

Conclusion

Prompt engineering is not about writing long prompts — it’s about writing clear, structured, intentional prompts.
When you apply these 20 best practices in your business workflows, you get:

✔ Sharper answers
✔ Faster outputs
✔ Highly actionable insights
✔ Consistent quality
✔ Less rework