Souf | Java Interview Mentor

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Souf | Java Interview Mentor

Souf | Java Interview Mentor

@SoufJavaMentor

I help Java developers pass technical interviews. 10+ years of real interviews. Real questions, traps & recruiter mindset. Structured Java interview training ↓

Katılım Mart 2023
125 Takip Edilen101 Takipçiler
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Souf | Java Interview Mentor
Souf | Java Interview Mentor@SoufJavaMentor·
I turned 10+ years of real Java interviews into interview-style MCQs focused on reasoning, not syntax. If you’re preparing a Java interview, the structured training is here 👇 (link in bio)
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Souf | Java Interview Mentor
Souf | Java Interview Mentor@SoufJavaMentor·
@e_opore Thank you for this. I like AWS, i find it more intuitive than GCP or Azure. What about you guys ? What Cloud do you prefer and why ?
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Dhanian 🗯️
Dhanian 🗯️@e_opore·
AWS Roadmap 2026: Simplified Learning & Career Path │ ├── 1. Cloud Computing Basics │ ├── Cloud concepts and benefits │ ├── IaaS, PaaS, SaaS │ └── AWS global infrastructure │ ├── 2. Core AWS Services │ ├── Compute │ │ ├── EC2 │ │ ├── Auto Scaling │ │ └── Load Balancers │ ├── Storage │ │ ├── S3 │ │ ├── EBS / EFS │ │ └── Storage classes │ ├── Databases │ │ ├── RDS │ │ ├── DynamoDB │ │ └── Database selection │ └── Networking │ ├── VPC │ ├── Subnets │ └── Routing basics │ ├── 3. Security & Identity │ ├── IAM users, roles, policies │ ├── Security Groups and NACLs │ └── Shared Responsibility Model │ ├── 4. Serverless & Modern AWS │ ├── AWS Lambda │ ├── API Gateway │ ├── SQS, SNS, EventBridge │ └── Event-driven architectures │ ├── 5. Containers on AWS │ ├── Docker fundamentals │ ├── ECS and Fargate │ └── EKS basics │ ├── 6. Infrastructure as Code & CI/CD │ ├── CloudFormation │ ├── AWS CDK │ └── CodePipeline basics │ ├── 7. Monitoring & Optimization │ ├── CloudWatch metrics and logs │ ├── Performance optimization │ └── Cost management basics │ ├── 8. Data & AI on AWS │ ├── Data lakes on S3 │ ├── Analytics basics │ └── Generative AI with Bedrock │ ├── 9. Reliability & Best Practices │ ├── High availability │ ├── Backup and recovery │ └── AWS Well-Architected Framework │ ├── 10. Certifications Path (2026) │ ├── Cloud Practitioner │ ├── Associate certifications │ └── Professional & Specialty │ └── 11. Career & Hands-On Practice ├── Real-world AWS projects ├── Cloud and DevOps roles └── Continuous learning Recommended Ebook → Grab the AWS Developer's Handbook: From Beginner to Cloud Architect → codewithdhanian.gumroad.com/l/tbpasf
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Dhanian 🗯️@e_opore·
SQL query execution plan: From Text to Data.
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Dhanian 🗯️@e_opore·
@SoufJavaMentor Strong references remain (e.g., static field, cache, thread local). Object not GC-eligible → heap grows. Fix: null them or use Weak/SoftReference.
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Souf | Java Interview Mentor
Souf | Java Interview Mentor@SoufJavaMentor·
Java interview trap 👇 Memory in Java ✔️ Objects on heap ✔️ References passed around Candidate: 👉 “GC will clean it up.” Me: 👉 Why is memory still growing? 👉 What’s holding the reference? What would you answer?
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Souf | Java Interview Mentor
Souf | Java Interview Mentor@SoufJavaMentor·
I once gave a candidate an OutOfMemoryError scenario. Asked: “What do you investigate first?” Silence. Not because it’s hard. Because many memorize fixes, not how to think in prod. What would you check first?
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Dhanian 🗯️
Dhanian 🗯️@e_opore·
@SoufJavaMentor You're absolutely right—I've lost a couple of interviews because I went silent while coding. Lesson learned: thinking out loud is a must. Thanks for the reminder! Will make sure to verbalize my thought process next time. Appreciate the advice!
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Souf | Java Interview Mentor
Souf | Java Interview Mentor@SoufJavaMentor·
I once rejected a senior Java dev who solved every problem. Why? He coded in silence. When I asked “why this approach?”, he shrugged. Interviews reward thinking out loud. Silence looks like guessing, not confidence. Have you ever lost an interview you thought you aced?
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Dhanian 🗯️
Dhanian 🗯️@e_opore·
Modern LLM Engineering Interview Concepts to Master ✅ 1. How Large Language Models Work (Transformers, Attention, Tokens) 2. Prompt Engineering vs Fine-Tuning (When to Use Each) 3. Few-Shot, Zero-Shot & In-Context Learning 4. Embeddings: What They Are & How They’re Used 5. Vector Databases & Similarity Search 6. Retrieval-Augmented Generation (RAG) Architecture 7. Chunking Strategies & Context Window Tradeoffs 8. Hallucinations: Causes, Detection & Mitigation 9. LLM Evaluation Metrics (Accuracy, Relevance, Faithfulness) 10. Tool Calling & Function Calling Use Cases 11. Agents vs Simple LLM Pipelines 12. Memory in LLM Systems (Short-Term vs Long-Term) 13. Latency vs Cost Tradeoffs in LLM Apps 14. Scaling LLM Applications for Production 15. Model Selection (Closed vs Open-Source Models) 16. Security Risks (Prompt Injection, Data Leakage) 17. Guardrails & Safety Mechanisms 18. Observability & Monitoring for LLMs 19. Multi-Modal LLM Systems (Text, Vision, Audio) 20. Real-World LLM System Design Questions 📘 Recommended Ebook for LLM Engineering: codewithdhanian.gumroad.com/l/haeit
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Souf | Java Interview Mentor
Souf | Java Interview Mentor@SoufJavaMentor·
@e_opore One nuance interviewers often probe: “fully managed” doesn’t mean “no ops.” You still own capacity planning, rollout strategy, and blast radius decisions—especially with EKS.
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Dhanian 🗯️
Dhanian 🗯️@e_opore·
How AWS Manages Container Services → AWS manages containerized applications using fully managed services that simplify deployment, scaling, and operations. → These services remove the need to manage container hosts manually while providing high availability and security. Core Container Services in AWS → AWS provides two primary container orchestration platforms: → Amazon ECS (Elastic Container Service) → Amazon EKS (Elastic Kubernetes Service) → Both integrate deeply with AWS networking, security, and monitoring services. Amazon ECS (Elastic Container Service) → ECS is a native AWS container orchestration service. → It supports Docker containers without requiring Kubernetes. → AWS manages the control plane, scheduling, and scaling. → ECS can run on: → EC2 for full control over instances → AWS Fargate for serverless container execution AWS Fargate (Serverless Containers) → Fargate removes the need to manage servers or clusters. → You define CPU, memory, and container images. → AWS automatically provisions compute capacity and scales containers. → Ideal for microservices and event-driven workloads. Amazon EKS (Elastic Kubernetes Service) → EKS provides a fully managed Kubernetes control plane. → AWS handles Kubernetes version upgrades, patches, and high availability. → Worker nodes can run on EC2 or Fargate. → Integrated with IAM for authentication and authorization. Container Networking → AWS uses VPC networking for container communication. → Each container or pod can receive its own IP address. → Security Groups and Network ACLs control inbound and outbound traffic. → Load balancers distribute traffic across containers automatically. Container Scaling → AWS supports automatic scaling using: → ECS Service Auto Scaling → Kubernetes Horizontal Pod Autoscaler (HPA) → AWS Auto Scaling integrates with CloudWatch metrics. → Ensures containers scale based on demand. Image Management → AWS provides Amazon ECR (Elastic Container Registry) for storing container images. → Images are encrypted, versioned, and scanned for vulnerabilities. → IAM controls access to image repositories. Security & Isolation → Containers run in isolated environments using Linux namespaces and cgroups. → Fargate provides stronger isolation by running each task in its own environment. → IAM roles control container permissions without embedding credentials. Monitoring & Logging → AWS integrates container services with: → CloudWatch Logs and metrics → AWS X-Ray for tracing → Container Insights for performance visibility → Enables deep observability into container workloads. High Availability & Fault Tolerance → Containers are distributed across multiple Availability Zones. → Failed tasks or pods are automatically restarted. → Load balancers redirect traffic to healthy containers. CI/CD & Automation → AWS integrates containers with: → CodePipeline → CodeBuild → CodeDeploy → Infrastructure as Code tools like CloudFormation and CDK → Enables fully automated container deployments. Tip → AWS manages container services by abstracting infrastructure, automating scaling, and integrating security and networking at every layer. → This allows teams to focus on building and deploying applications instead of managing container platforms. Grab the AWS Handbook: codewithdhanian.gumroad.com/l/cnwwr
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Dhanian 🗯️@e_opore·
@SoufJavaMentor Spot on! Without `volatile`, the reader thread might never see the `running = false` update due to JMM visibility rules. Classic concurrency trap,love it!
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Souf | Java Interview Mentor
Souf | Java Interview Mentor@SoufJavaMentor·
Java interview trap 👇 Threads & memory ✔️ shared heap ✔️ separate stacks Candidate: 👉 “Threads see the same data.” Me: 👉 Then why does this flag never change? 👉 What guarantees visibility between threads? What would you answer?
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Souf | Java Interview Mentor
Souf | Java Interview Mentor@SoufJavaMentor·
@Dating_Dynamics There's no special technics guys. It's all about psychology and also go out there and develop social skills. If you stay at home watching videos nothing is going to happen trust me !
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Dating Dynamics
Dating Dynamics@Dating_Dynamics·
15 Principles Of Texting Women (How To Text a Girl You Like So Good She Can’t Ignore) A Psychology Thread
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Souf | Java Interview Mentor
Souf | Java Interview Mentor@SoufJavaMentor·
@nkamphoa Thank you for this article. I see that you talked about the myth of calling the GC with System.gc() hahaha. A lot of people think it really will trigger the GC. I like your content, let's connect. I help people succeed in real life interviews with daily tweets !
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Noel KAMPHOA
Noel KAMPHOA@nkamphoa·
Curious about how the garbage collector works in Java? Discover its role, benefits, and tips for effective memory management in this article. nkamphoa.com/java-garbage-c…
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