Azure Blob Test

This skill involves a deep dive into security mechanisms in Azure Blob, including managing access permissions using Azure Active Directory (AAD), Shared Access Signatures (SAS), and Role-Based Access Control (RBAC). Candidates are tested on their ability to set up and use firewalls, virtual networks (VNETs), and secure data transfers via HTTPS and encryption. Advanced topics include best practices for controlling access with policies and configuring multi-layer security at enterprise scale, ensuring data integrity and confidentiality.

This skill examines how to manage data retention, lifecycle policies, versioning, and automating data tiering for efficiency. Candidates should configure policies to automatically move data between Hot, Cool, and Archive tiers based on usage. More advanced questions explore soft-delete features, blob immutability for legal compliance, and how to efficiently manage large datasets over time. This skill is vital for maintaining data accessibility while optimizing storage costs.

This skill focuses on techniques to minimize storage costs, including understanding pricing models for different tiers (Hot, Cool, Archive) and optimizing data storage strategies based on usage patterns. Candidates should assess trade-offs between different redundancy options (LRS, ZRS, GRS), monitor storage costs via cost management tools, and implement compression and tiering policies to reduce costs without sacrificing performance. This is essential for maximizing organizational resources.

This skill tests knowledge of optimizing the performance of Azure Blob storage for different workloads. Candidates should understand how to improve data access speeds, implement content delivery network (CDN) integration for faster content distribution, and use chunking to manage large file transfers. Advanced questions focus on monitoring performance metrics, reducing latency, and utilizing storage access patterns to enhance performance for enterprise-level applications.

This skill focuses on securely transferring and migrating data to and from Azure Blob. Candidates should understand how to integrate Azure Data Box for bulk data migrations, leverage Data Factory for data pipeline configurations, and securely transfer data between on-premise environments and Azure. Topics also cover best practices for managing large-scale data movements and handling scenarios that involve hybrid cloud setups, ensuring seamless and secure data transitions.

This skill tests understanding of how Azure Blob integrates with Azure’s networking services, such as Virtual Network (VNET), service endpoints, and Private Link, to create secure and optimized connectivity between storage and applications. This topic explores configuring firewalls and private access to storage accounts, setting up secure cross-region transfers, and integrating Azure BLOB with external services for enterprise-grade solutions, ensuring robust and efficient network architecture.

This skill examines the ability to set up Azure Monitor, Log Analytics, and other diagnostic tools to track BLOB performance, security, and operational health. Candidates should know how to configure alerts for performance degradation, storage limits, and unauthorized access attempts. Advanced questions test expertise in troubleshooting storage issues, analyzing logs, and leveraging metrics for proactive monitoring of large storage environments, ensuring continuous operational efficiency.

This skill assesses knowledge of designing and implementing high-availability (HA) and disaster recovery (DR) solutions for Azure Blob. Candidates should understand the concepts of geo-redundancy (GRS, ZRS), automated failover, and replication. Advanced questions will cover creating multi-region failover strategies, backup policies, and ensuring business continuity through effective DR planning and testing in compliance with enterprise SLAs, safeguarding data against unexpected disruptions.

This skill focuses on the integration of Azure Blob storage with serverless architectures (Azure Functions, Logic Apps) and event-driven solutions (Event Grid). Candidates should be able to automate storage operations using Infrastructure as Code (ARM templates, Terraform) and event-based triggers. The advanced portion covers optimizing automated workflows, orchestrating complex multi-service pipelines, and achieving efficiency in data processing via serverless functions, enhancing organizational agility and innovation.