Questions / Amida Technology Solutions 1 Data Quality in ETL Pipelines Written Easy1701× 2 Approach User Research in Design Written Easy452× 3 Dynamic Graph Outlier Detection Written Hard1× 4 Troubleshoot High CPU Low Network Written Medium1× 5 Log Parsing Alert Script Written Medium1× 6 Diagnose Underperforming Graph Queries Written Medium7 Choosing Batch vs Real Time Written Hard178× 8 Define Amida Data Scientist Role Written Easy1× 9 Custom Message Passing in PyG Written Hard1× 10 Troubleshoot Failing Deployments Written Medium1× 11 Low-Latency Stored Procedures Written Hard12 Graph Embeddings and Encoding Written Easy1× Show all 48 questions ↓ Show fewer ↑ 13 Spark and Databricks for Massive Graphs Written Medium1× 14 Audit and Enforce IAM Policies Written Hard1× 15 Gather Requirements from Stakeholders Written Easy1× 16 MS SQL for Reporting Analytics Written Medium17 DGL vs PyTorch Geometric Tradeoffs Written Medium1× 18 Secrets Management in Kubernetes and CI Written Medium1× 19 Fault-Tolerant Web Architecture Written Hard1× 20 Client Data Insights Transformation Written Easy1× 21 Graph Clustering and Communities Written Easy1× 22 CI/CD for Microservices Written Hard1× 23 Optimize Unnecessary Cloud Spend Written Easy1× 24 Modernize Data Governance with Government Stakeholders Written Medium1× 25 Secure Cross-VPC Database Access Written Hard1× 26 Terraform Modules for Scale Written Medium1× 27 Core Graph ML Competencies Written Easy28 SOC 2 Logging and Monitoring Written Medium1× 29 Real-Time Transactions and Reporting Written Hard1× 30 Scalable Dimensionality Reduction Written Hard31 Preventing Production Issues from Anomalies Written Medium1× 32 Python Pipelines and Reconciliation Written Hard1× 33 Temporal Graph Concepts Written Hard34 Critical Defects Before UAT Written Hard1× 35 Data Integrity Across Legacy Sources Written Medium1× 36 GNN for Imbalanced Heterogeneous Graphs Written Hard37 Finding and Closing Compliance Gaps Written Medium1× 38 Graph Partitioning on Distributed Clusters Written Hard1× 39 Outlier and Anomaly Detection Written Easy40 Advocating for a Testing Approach Written Medium1× 41 Graph Modeling for Read/Write Balance Written Hard1× 42 GNN Walkthrough for Imbalanced Graphs Written Hard43 Resolving Compliance vs Development Disputes Written Medium1× 44 Azure Databricks Graph Pipeline Written Hard45 Medicaid Compliance Validation Written Medium1× 46 Neo4j Schema: Connectivity vs Performance Written Hard47 Managing Large Testing Efforts Written Medium1× 48 State-Specific Medicaid Rules Written Easy1×