Overview

Are you preparing for a career-defining Azure Data Engineer interview in 2025? This course delivers a rigorously curated and exam-ready bank of 600+ scenario-based questions built on Microsoft's latest architecture standards, Fabric ecosystem, and DP-700 expectations.You'll go beyond shallow MCQs and dive into real-world practical case studies, long-form scenarios, and nuanced trade-offs across the modern data stack.Designed for working professionals, job switchers, and MNC interview candidates, this course blends cloud-native thinking with hands-on data engineering strategy-ideal for mastering interviews at Big tech companiesEach question includes:Clear scenario narrative with a realistic enterprise use caseFour carefully balanced answer options with exam-like depthDetailed explanations breaking down concepts, context, and why the correct option works best What You'll LearnBy the end of this course, you'll confidently handle:Microsoft Fabric interview questions (DP-700 oriented)Azure Synapse, Data Factory, and OneLake integrationsDatabricks, Spark, Delta Lake, and Serverless SQL performance decisionsCI/CD pipelines, infrastructure as code (IaC), and governance policiesMonitoring, observability, and FinOps trade-offs across modern Azure deployments Course Syllabus - Topics Covered1 · Cloud & Data Engineering FoundationsAzure Resource Groups, Virtual Networks, ARM vs BicepSQL query design, Python for ETL, Docker & Git for pipelinesData architecture principles: ACID, BASE, Lambda, KappaTransitioning from classic Synapse to Fabric-first OneLake analytics2 · Storage & Data Management on AzureAzure Data Lake Storage Gen2, lifecycle policiesAzure SQL tiers, In-Memory OLTP, Synapse Dedicated PoolsCosmos DB APIs and global consistency decisionsFabric Lakehouse and Warehouse automation strategies3 · Ingestion, Integration & OrchestrationAzure Data Factory vs Synapse Pipelines: Best use casesReal-time data ingestion using Event Hubs, IoT HubChange Data Capture via SQL CDC and Debezium on AKSTrigger-based automation with Data Activator and Dataflows Gen 2Migrating from SSIS to Azure-native orchestration4 · Processing & Analytics EnginesDatabricks Spark internals, Photon engine, Unity CatalogServerless SQL tuning and cost optimizationFabric Notebooks and Copilot-based analytics workflowsReal-time streaming with Azure Stream Analytics and Power BIDeep dive into query performance, Z-ordering, caching, and indexing5 · Governance, Security & ComplianceAzure AD-based RBAC, Managed Identities, and Defender for CloudEncryption layers: in-transit, at-rest, ADE, TDEMicrosoft Purview for scanning, classifying, labeling sensitive dataNetwork architecture: private endpoints, firewalls, VNet integrationAutomating GDPR/PCI-DSS compliance via Azure Policy & Purview6 · Observability, Optimization & DataOpsAzure Monitor, Log Analytics, and Fabric-specific monitoring viewsSpot pricing, workload isolation, and capacity tuning in FabricTesting frameworks: Great Expectations, SQL unit testsTerraform, Bicep, GitHub Actions: Real-world IaC and CI/CD strategiesIncident management, alerting workflows, and automated remediation

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