1,53,919 listings across Topmate

Complete 6 Month detailed Roadmap topic wise (as shown in the video)

Struggling to secure referrals for your ideal role or company? You're not alone—but there's a solution! Introducing the LinkedIn Referral Request Template—professionally tried, tested, and tailored to help you stand out. Hi, I’m Pooja Kanodia, a specialist in LinkedIn strategy and Resume Optimization. I’m here to empower professionals like you to achieve career success. 🔑 Why Choose This Template? Clear Communication: Precisely articulate your request. Professional Tone: Maintain courtesy while being assertive. Proven Effectiveness: Boost your response rate with a refined approach. Imagine sending a polished, ready-to-use referral request that increases your chances of getting noticed and endorsed by industry professionals. 🚀 ✅ Real Results: Users of this template have reported a significant uptick in positive responses, making their job applications stronger and more effective. Let’s simplify your journey to career success. Are you ready? 💡 Important Note: The services I provide via Topmate are independent and separate from my current company’s views or policies. My professional role remains distinct from the personal support I offer here.

If you wish to discuss your work, career plans, startups, capital markets, philosophy, study abroad plans, I am happy to get on a call. ✅ Please be specific during the call ❌ Do not come unprepared ❌ Do not try and sell me digital marketing, videos, leads etc.

Ask away anything related to my expertise. I will try my best to help you out 🙂

Ask away anything related to my expertise. I will try my best to help you out

The best way to ace an interview is to do Mock Interviews with me. In this call, I will help you in your interview preparation for your next job/internship through a Mock Session. This session will be structured in line with the industry and role you are looking for and help you get a feel of how it really feels to be in an interview. Stable Internet WIFI Connection is Mandatory for this call. Watch Sample Playlists how we conduct Mock Interviews: https://www.youtube.com/watch?v=C9ZOCL0CUkk&list=PLTGn8a4YcF3xwMlFvrg9YAE8jrubJI1MA Please share your CV at so we can review your CV and help you accordingly. Also it would be uploaded on YT Channel

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Download the source code to build Netflix clone website using React JS, Firebase and the movie database API

This E-Book is a comprehensive guide to everything PLAB 2!!! THIS BOOK COVERS : 1)Things to keep in mind while choosing Accommodation. 2)Do you need an academy? 3)The reality of Academy Mocks 4)Study stratergy 5)Do you need a study partner? 6)Criteria's you're judged on 7)How to take a 4/4 History 8)Management skills 9)The ever so dreaded Inter-personal skills 10)How to pass academy mocks 11)Interpret results of mocks 12)The D-Day! I HOPE YOU FIND VALUE IN IT! <3

Top 100 SQL Interview Questions Asked by Top Product-Based Companies

Giving Back to Community on Women's Day. Sharing Testing Interview Questions asked to one of my subscriber for FREE!! Download it for Free and don't forget to give rating & drop a positive Testimonial.

🎓 Delhi University FREE Political Science, History and Geography Preference List Confused about how to rank colleges in your preference list? This guide helps you build the perfect preference. ADVICE While ranking colleges in your preference list, consider factors like placements, campus environment, exposure, location, active societies, distance from home, fees, and your personal goals. Feel free to edit as needed. All the best! 🎥 Bonus: A must-watch! How to make a personalized preference list- because you shouldn’t copy anyone else's list, This video is included for complete clarity: https://youtu.be/pzJBzybzsN4?feature=shared All the best, see you in DU :)

Resume template that got me and my students shortlisted in Fortune 500 companies and startups This free ATS Resume Template is designed to be: ATS-friendly (clean layout, scannable sections) Recruiter-readable (clear headings and spacing) Easy to edit (plug-and-play for freshers + experienced)

This CSS Cheatsheet is your go-to reference for everything related to styling web pages. It includes all essential CSS properties, selectors, flexbox, grid, animations, transitions, pseudo-classes, and responsive design tips - neatly organized for quick access. Perfect for beginners learning CSS or developers who want a handy reference while coding. 1. Introduction to CSS What is CSS? Syntax and Structure Types of CSS: Inline, Internal, and External 2. CSS Selectors Overview Selectors Element Selectors Class Selectors ID Selectors Universal Selector (*) Attribute Selectors Pseudo-class Selectors (:hover, :active, etc.) Pseudo-element Selectors (::before, ::after, etc.) Grouping Selectors 3. Colors Named Colors Hexadecimal Colors RGB and RGBA HSL and HSLA CSS Color Functions (e.g., rgb(), rgba(), hsl(), hsla()) 4. Font Family Font Size Font Weight and Style Text Alignment and Decoration Text Transform (uppercase, lowercase) Line Height Letter Spacing Word Spacing Text Shadow Vertical Alignment 5. Box Model Understanding the Box Model Margin, Padding, and Border Box Sizing (content-box, border-box) Display Property (block, inline, inline-block) Overflow Property (visible, hidden, auto) 6. Positioning Static Positioning Relative Positioning Absolute Positioning Fixed Positioning Sticky Positioning Z-Index 7. Flexbox Introduction to Flexbox Flex Container Flex Items Justify Content Align Items Align Self Flex Direction Flex Wrap Flex Grow, Shrink, and Basis Ordering Items 8. Grid Layout Introduction to CSS Grid Grid Container and Items Grid Template Columns and Rows Grid Gaps Grid Areas Justify Items, Align Items, and Place Items Grid Template Areas Auto-placement in Grid 9. Responsive Design Media Queries Viewport Units (vw, vh, vmin, vmax) Flexbox in Responsive Design CSS Grid in Responsive Design Mobile-first Design 10. Transitions and Animations CSS Transitions Transition Properties (transition-duration, transition-timing-function) CSS Animations (keyframes, animation-name, animation-duration) Animation Timing Functions (ease, linear, etc.) 11. Backgrounds and Borders Background Images and Gradients Background Position and Size Border Styles and Radius Box Shadows 12. Lists and Tables Styling Lists (unordered, ordered) Table Styling (border, padding, etc.) Table Layout and Borders Styling Table Cells and Headers 13. Typography Web Fonts (e.g., Google Fonts) Font-Weight and Font-Family Usage Text Decoration (underline, strikethrough) Font Sizing (rem, em, px, etc.) Line Height and Letter Spacing Adjustments 14. CSS Variables Introduction to CSS Variables (Custom Properties) Declaring and Using Variables Scoped Variables Benefits of Using Variables 15. Advanced CSS CSS Shapes Clip-path Property CSS Filters Object Fit and Object Position CSS Transforms (rotate, scale, translate, etc.) 16. CSS Best Practices Naming Conventions (BEM, OOCSS) Using CSS Preprocessors (Sass, LESS) Modular and Scalable CSS Architecture Performance Considerations 17. CSS Frameworks and Libraries Overview of Popular CSS Frameworks (Bootstrap, Tailwind CSS, etc.) When and How to Use Frameworks 18. CSS in Practice Building Layouts (Header, Footer, Sidebar) Navigation Menus Forms and Input Elements Styling Buttons and Icons 19. Tools and Resources CSS Validators and Tools CSS Code Generators Useful CSS Libraries and Plugins 20. Appendix Quick Reference for Common CSS Properties Browser Compatibility Information Resources for Further Learning (Books, Courses, Websites)

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Most Azure Data Engineer candidates know Azure Data Factory. Very few know how to answer Azure Data Factory interview questions the way interviewers expect. That's exactly why talented professionals get rejected despite having project experience. After mentoring hundreds of Azure Data Engineering aspirants and analyzing real interview feedback from candidates placed in top MNCs, I compiled this Azure Data Factory Interview Mastery Kit to help professionals prepare smarter, not harder. This isn't another collection of copied interview questions from the internet. Every question inside this kit has been gathered from actual Azure Data Engineer interviews conducted by leading companies and is accompanied by detailed, interview-ready answers that help you explain concepts with confidence. Every question is designed to help you answer confidently in real interviews ranging from 3–10 years of experience and salary packages between 15–40 LPA. What You'll Learn - 1️⃣ Azure Data Factory Core Concepts • Pipelines, Activities, Datasets, Linked Services • Integration Runtime (Azure IR, Self-Hosted IR, Azure SSIS IR) • Triggers (Schedule, Event-Based, Tumbling Window) • Parameters, Variables, Control Flow Activities • Lookup, Get Metadata, Web Activity, ForEach, If Condition 2️⃣ Real-Time Azure Data Factory Scenarios • Metadata-Driven Framework Design • Dynamic Pipeline Development • Incremental Load Implementation • Watermark Table & Watermark Column Concepts • Copying Hundreds of Tables Dynamically • Processing Millions of Files Efficiently • Master Pipeline Architecture • Nested ForEach and Conditional Logic 3️⃣ Performance Optimization • Parallel Copy Activities • Partitioning Strategies • Pipeline Performance Tuning • SLA Breach Troubleshooting • Large Volume Data Migration • Data Ingestion Optimization 4️⃣ Security & Governance • Azure Key Vault Integration • Managed Identity • Service Principal vs SAS Token • RBAC & ACLs • Data Encryption • Data Masking Techniques 5️⃣ Azure Data Lake & Azure SQL Interview Questions • ADLS Gen2 Architecture • Blob vs ADLS • Hierarchical Namespace • Storage Optimization • Disaster Recovery • Azure SQL Security • High Availability • Database Optimization 6️⃣ Advanced Scenario-Based Questions • CDC-Based Incremental Loading • SCD Type 2 Implementation • Late Arriving Dimensions • Metadata-Driven Frameworks • Schema Drift Handling • Error Handling & Retry Mechanisms • CI/CD with Azure DevOps • Real Production Support Scenarios Who Is This For? ✅ Azure Data Engineers preparing for interviews ✅ Data Engineers planning a job switch ✅ ETL Developers transitioning to Azure ✅ Azure Data Factory Developers with 2–10 years of experience ✅ Professionals targeting salary packages between 10–40+ LPA ✅ Candidates preparing for Deloitte, EY, PwC, Accenture, Cognizant, Capgemini, Infosys, IBM, LTIMindtree, Tredence, Tiger Analytics, and similar companies ✅ Professionals struggling with scenario-based Azure Data Factory questions ✅ Learners who know Azure Data Factory but find it difficult to explain concepts confidently during interviews ✅ Candidates looking for real interview questions instead of random YouTube content and outdated blog questions Why Professionals Love This Kit ✅ Saves hundreds of hours of random interview preparation ✅ Helps you understand what interviewers actually ask ✅ Provides interview-ready answers instead of textbook explanations ✅ Covers both beginner and advanced scenarios ✅ Builds confidence for technical, managerial, and scenario-based rounds ✅ Useful for both job switchers and experienced Azure Data Engineers Results You Can Expect After completing this kit, you'll be able to - ✅ Answer Azure Data Factory questions confidently ✅ Explain real-world implementations instead of textbook definitions ✅ Handle scenario-based interview rounds ✅ Discuss production architecture and design decisions ✅ Improve your chances of clearing Azure Data Engineer interviews ✅ Stand out from candidates who only know theoretical concepts Social Proof More than 800 Azure Data Engineering learners have already enrolled in my interview preparation resources and used them to prepare for interviews at leading MNCs. Many learners have shared interview success stories after preparing using the frameworks, scenarios, and interview-focused approach covered in these guides. Instant Access Get immediate access after purchase and start preparing today. Your next Azure Data Engineer opportunity may depend on how well you answer the interview questions that are already waiting inside this guide.

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Have your agenda ready. We shall focus on what questions you have related to DS career, or anything around data science. This call is NOT for resume review, and I will not be able to discuss resume, there is different service for resume review. This is more focused on quick interaction with some of your top of mind questions or concerns.

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