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A self-paced data engineering program from foundations to job-ready skills: SQL, Python, ETL, Airflow and projects.
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150+ frequently asked microservices interview questions with explanations, hands-on examples and mock interviews.
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A 52-page print-friendly guide to the Spring Boot annotations you actually use, with copyable code and interview questions.
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A complete DevOps learning resource with coded examples, command sheets and an 80+ title book bundle across AWS, Azure and GCP.
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Concise handwritten DSA notes with flowcharts and diagrams, built for product-company interview prep and quick revision.
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500+ curated Spring Boot interview questions by difficulty, with detailed answers, coding challenges and cheat sheets.
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100 Java Collections Framework interview questions with detailed answers, code examples and performance tips.
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The essential 1% of Python that makes 99% of the impact in data engineering: notes, assignments, an e-book and real use cases.
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“This collection of questions is incredibly helpful! All are real, commonly asked interview questions that you'll likely face in an actual interview”
“Many think java is no longer relevant in this age of artificial intelligence, but java was the first language which introduced flexibility in coding. Learning java makes it easier for you to master other object oriented, web languages.”
“Greate content for preparation of java interview. It also provides some dsa resources which is quaite popular and good”
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39 Spring AI interview questions with direct answers and code for Spring AI 2.0: ChatClient, advisors, chat memory, structured output, RAG, tool calling and MCP.
Read articleBuild a Spring Boot 4 RAG service with Spring AI 2.0 and pgvector: ingest PDFs and Markdown, answer with cited sources, run on OpenAI or local Ollama, and test it.
Read articleBuild a real MCP server in Java with Spring AI 2.0 and @McpTool: stdio vs Streamable HTTP, testing with curl and the Inspector, connecting Claude, a Spring AI client and security.
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