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Learn Azure compute resources: configure virtual machines with availability and scalability options, data disks, script extensions, template-based deployment, App Service, and Azure Kubernetes and container services.
Deploy and manage Azure virtual networks: configure subnets, NAT and VPN gateways, VNet peering, Network Security Groups, private endpoints, Azure DNS, and Load Balancer backend pools.
Prepare for the Terraform Associate (003) exam: install Terraform, configure providers and variables, build modules, and manage state files, workspaces, and Terraform Cloud.
Prepare for the DP-600 exam: ingest data with Data Factory, build lakehouses and warehouses in Fabric, and implement semantic models with Direct Lake, Power BI and DAX.
Integrate Microsoft Copilot across Power Apps, Power Automate, Power Pages and AI Builder, build solutions in Copilot Studio, and set up security monitoring and compliance configuration.
Build automated cloud flows in Power Automate: use Copilot, approval and recurring flows, Process and Task Mining, AI Builder actions, and Business Process Flows with Process Advisor.
Prepare for the DP-300 exam: deploy SQL Server on Azure VMs and managed instances, configure Azure AD authentication and TDE, monitor performance, and administer with T-SQL.
Build and administer Kubernetes clusters with kubeadm: pods, schedulers, ReplicaSets, ConfigMaps and Secrets, ingress and CNI networking, persistent storage, RBAC, monitoring, backup, and troubleshooting.
Detect AWS security threats with GuardDuty, apply the Shared Responsibility Model to EC2 and IAM users, and implement logging, monitoring, and incident response solutions.
Install and configure Ansible on VMs and cloud, write YAML playbooks and ad-hoc tasks over SSH, and manage variables, loops, handlers, and Vault encryption.
Learn AWS DevOps foundations: high availability and scaling, resource provisioning and configuration management services, serverless application configuration, and monitoring, logging and log auditing.
Prepare for the AIF-C01 exam: build generative AI applications with Amazon Bedrock and RAG, apply prompt engineering and responsible AI practices, and secure solutions with IAM.
Work with AWS storage: use S3 storage classes and object lifecycles, secure buckets with ACLs, policies and encryption, and manage EBS volumes and EFS file systems.
Manage identities in Microsoft Entra ID: configure directory services, application access, protection services, and authentication and authorization for access management in Azure.
Connect Power BI to Excel, CSV, and web sources, then clean, type, merge, and transform data with Power Query using filters, splits, pivots, and unpivots.
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