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How long does it take to pass the Microsoft AZ-305 exam?

According to the AZ-305 exam dumps the passing Score, duration & question for the Microsoft AZ-305 Certification is given below

Duration: 60 Minutes
Languages: English
Passing scores: 70%
No. of questions: 40-60

Do You Have What It Takes To Pass The Microsoft AZ-305 Exam?

The Microsoft AZ-305 exam certifies that a candidate can work with the products found in Azure solutions. The purpose of the Microsoft exam AZ-305 is to test whether implementers of Microsoft Azure Infrastructure Solutions have the skills necessary to design multi-tier services in cloud computing infrastructure. Designing these services will require knowledge and understanding of building systems, management, and operations in large-scale hybrid environments. Recovery and remediation of the infrastructure will also be tested.

Obtaining this certification not only adds to your CV but can help you validate your knowledge regarding designing a modern computing environment into the cloud. Besides this, the certification is a way of validating your skills and competency in Azure technologies. AZ-305 exam dumps could be a great way to achieve this goal. The load of the Microsoft AZ-305 exam is increasing day by day, and if you are working on this technology, it is better to prepare for the Microsoft AZ-305 exam.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/az-305

Microsoft AZ-305 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Design infrastructure solutions	30-35%	- Design application architecture 1. Microservices and event-driven architecture 2. Azure API Management, message queuing (Service Bus, Event Grid) 3. Serverless and decoupled design patterns - Design migrations 1. Migration assessment and planning (Azure Migrate) 2. Lift-and-shift, re-platform, and re-architect strategies 3. Database and application migration tools and processes - Design networking solutions 1. Load balancing (Azure Load Balancer, Application Gateway, Front Door) 2. Network security (NSGs, Azure Firewall, DDoS Protection) 3. Private endpoints, service endpoints, and name resolution (DNS) 4. Virtual networks, subnets, and peering 5. Hybrid connectivity (VPN Gateway, ExpressRoute) - Design compute solutions 1. Azure Kubernetes Service (AKS) and container orchestration 2. Virtual Machines, Virtual Machine Scale Sets 3. Azure App Service, Azure Functions, Azure Container Instances 4. Batch processing and HPC scenarios
Topic 2: Design identity, governance, and monitoring solutions	25-30%	- Design monitoring solutions 1. Azure Monitor, Log Analytics, and Application Insights 2. Network and application monitoring strategies 3. Alerting, diagnostics, and dashboards - Design governance 1. Azure Policy and Azure Blueprints 2. Management groups, subscriptions, and resource groups 3. Naming conventions and organizational standards 4. Cost management and resource tagging - Design identity, access, and security solutions 1. Authorization and access control (RBAC, ABAC) 2. Security solutions for applications and data 3. Key management and encryption strategies 4. Identity and access management using Microsoft Entra ID
Topic 3: Design business continuity solutions	15-20%	- Design backup and disaster recovery 1. RPO/RTO requirements and failover strategies 2. Azure Backup, Azure Site Recovery 3. Geo-redundancy and cross-region replication - Design for high availability 1. Redundancy patterns for compute, storage, and databases 2. Load balancing and traffic management 3. Availability zones, availability sets, and regions - Design for resilience 1. Chaos engineering and fault tolerance 2. Business continuity and disaster recovery (BCDR) planning 3. Transient fault handling and retry patterns
Topic 4: Design data storage solutions	20-25%	- Design non-relational data storage 1. Partitioning, consistency models, and throughput 2. Azure Cosmos DB, Table Storage, Blob Storage 3. Lifecycle management and tiering - Design relational data storage 1. Azure SQL Database, SQL Managed Instance, SQL Server on VM 2. High availability, scalability, and performance tuning 3. Backup, restore, and disaster recovery - Design data integration and processing 1. ETL/ELT pipelines and data movement 2. Azure Synapse Analytics, Data Factory, Databricks 3. Real-time and batch processing architectures