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The content of this exam was updated on July 21, 2020. Please obtain the exam skills outline below to see what changed.

Migrate SAP Workloads to Azure (10-15%)

Design an Azure solution to support SAP Workloads (20-25%)

Build and deploy Azure for SAP Workloads (35-40%)

Validate Azure infrastructure for SAP Workloads (10-15%)

Operationalize Azure SAP architecture (10-15%)



Migrate SAP Workloads to Azure (10-15%)

Create an inventory of existing SAP landscapes

 network inventory

 security inventory

 computing inventory

 operations system inventory

 resiliency and availability inventory

 SAP Database Inventory

 SAP Landscape architecture

 SAP workload performance SLA and metrics

 migration considerations

Design a migration strategy

 certified and support SAP Hana hardware directory

 design criteria for Tailored Datacenter Integration (TDI) v4 and v5 solutions

 databox with import and export

 HANA System Replication (HSR)

 ASR for SAP

 backup and restore methods and solutions

 infrastructure optimization for migration

Design an Azure Solution to Support SAP Workloads (20-25%)

Design a core infrastructure solution in Azure to support SAP workloads

 network topology requirements

 security requirements

 virtual or bare metal

 compute

 operating system requirements

 support SAP version

 storage requirements

 proximity placement group

 infrastructure requirements

Design Azure infrastructure services to support SAP workloads

 backup and restoration requirements

 SLA/High Availability

 data protection (EFS, LRS/GRS, Availability Zones)

 compliance

 monitoring

 licensing

 application interfaces

 dependencies

Design a resilient Azure solution to support SAP workloads

 HA models supported in HANA (N+N, N+0 and N+1)

 application servers

 SAP Central services

 availability sets

 availability zones

 Disaster Recovery (DR) with Hero Regions

 Database HA

Build and Deploy Azure for SAP Workloads (35-40%)

Automate deployment of Virtual Machines (VMs)

 Azure Resource Manager (ARM) template

 automated configuration of VM

 scripting with automation tools, including script development, script modification, and deployment dependencies

Implement and manage virtual networking

 IDS/IPS for Azure

 routing fundamentals

 subnetting strategy

 isolation and segmentation for SAP landscape

Manage access and authentication on Azure

 custom domains

 Azure AD Identity Protection

 Azure AD join

 enterprise state roaming

 conditional access policies

 Role-based access control (RBAC)

 service principal

 Just in time access

Implement and manage identities

 Azure AD Connect

 AD Federation and single sign-on

 LDAP/Kerberos/SSH

 Linux VMs Active Directory domain membership mechanism

Monitor SAP workloads on Azure

 Azure Enhanced Monitoring Extension for SAP workloads

 Azure Monitors

 workspaces & metrics

Build & Deploy HA/DR infrastructure for SAP products

 ASCS/SCS deployments on Linux & Windows using either of the 4 supported

methodologies (SOFS with S2D, NetApp, Azure Files Premium, 3rd Party products that present a device as iSCS to OS)

 HA/DR scenarios for SAP HANA

 HA/DR scenarios for other RDBMS platforms

 HA for non-NetWeaver Products like IdM, SBOP BI/DS

 Where to use load balances & troubleshooting connectivity

Validate Azure Infrastructure for SAP Workloads (10-15%)

Perform infrastructure validation check

 JMeter, Avalanche for Mobility Services, Load Runner

 test implementation for SAP workloads

 verify network performance and throughput

 verify storage

 HWCCT (HANA)

 FIO and/or DD (AnyDB)

Perform operational readiness check

 backup and restore

 High Availability checks

 failover test

 DR test

 print test

Operationalize Azure SAP Architecture (10-15%)

Optimize performance

 SAP workloads on Azure using ABAPmeter

 storage structure

 SAP workloads on Azure support pre-requisites

 scheduled maintenance for planned outages

 recovery plan for unplanned outages

 SAP application and infrastructure housekeeping (i.e. snapshots on OS volumes)

 bandwidth adjustment for ExpressRoute

 IPtables and GlobalReach for HANA Large Instances (HLI)

Migrate SAP workloads to Azure

 migration strategy

 Azure Site Recovery (ASR)

 private and public IP addresses, network routes, network interface, subnets, and virtual network

 storage configuration

 source and target environments preparation

 backup and restore of data

Migrate SAP Workloads to Azure (10-15%)

Create an inventory of existing SAP landscapes

 network inventory

 security inventory

 computing inventory

 operations system inventory

 resiliency and availability inventory

 SAP Database Inventory

 SAP Landscape architecture

 SAP workload performance SLA and metrics

 migration considerations

Design a migration strategy

 certified and support SAP Hana hardware directory

 design criteria for Tailored Datacenter Integration (TDI) v4 and v5 solutions

 databox with import and export

 HANA System Replication (HSR)

 ASR for SAP

 backup and restore methods and solutions

 infrastructure optimization for migration

Design an Azure Solution to Support SAP Workloads (20-25%)

Design a core infrastructure solution in Azure to support SAP workloads

 network topology requirements

 security requirements

 virtual or bare metal

 compute

 operating system requirements

 support SAP version

 storage requirements

 proximity placement group

 infrastructure requirements

Design Azure infrastructure services to support SAP workloads

 backup and restoration requirements

 SLA/High Availability

 data protection (EFS, LRS/GRS, Availability Zones)

 compliance

 monitoring

 licensing

 application interfaces

 dependencies

Design a resilient Azure solution to support SAP workloads

 HA models supported in HANA (N+N, N+0 and N+1)

 application servers

 SAP Central services

 availability sets

 availability zones

 Disaster Recovery (DR) with Hero Regions

 Database HA

Build and Deploy Azure for SAP Workloads (35-40%)

Automate deployment of Virtual Machines (VMs)

 Azure Resource Manager (ARM) template

 automated configuration of VM

 scripting with automation tools, including script development, script modification, and deployment dependencies

Implement and manage virtual networking

 IDS/IPS for Azure

 routing fundamentals

 subnetting strategy

 isolation and segmentation for SAP landscape

Manage access and authentication on Azure

 custom domains

 Azure AD Identity Protection

 Azure AD join

 enterprise state roaming

 conditional access policies

 Role-based access control (RBAC)

 service principal

 just in time access

Implement and manage identities

 Azure AD Connect

 AD Federation and single sign-on

 LDAP/Kerberos/SSH

 Linux VMs Active Directory domain membership mechanism

Monitor SAP workloads on Azure

 Azure Enhanced Monitoring Extension for SAP workloads

 Azure Monitors

 workspaces & metrics

Validate Azure Infrastructure for SAP Workloads (10-15%)

Perform infrastructure validation check

 JMeter, AvalanchAvalanche for Mobility Services, Load Runner

 test implementation for SAP workloads

 verify network performance and throughput

 verify storage

 HWCCT (HanaHANA)

 FIO and/or DD (AnyDB)

Perform operational readiness check

 backup and restore

 high availability checks

 failover test

 DR test

 print test

Operationalize Azure SAP Architecture (10-15%)

Optimize performance

 SAP workloads on Azure using ABAPmeter

 storage structure

 SAP workloads on Azure support pre-requisites

 scheduled maintenance for planned outages

 recovery plan for unplanned outages

 SAP application and infrastructure housekeeping (i.e. snapshots on OS volumes)

 bandwidth adjustment for ExpressRoute

 IPtables and GlobalReach for HANA Large Instances (HLI)

Migrate SAP workloads to Azure

 migration strategy

 Azure Site Recovery (ASR)

 private and public IP addresses, network routes, network interface, subnets, and virtual

network

 storage configuration

 source and target environments preparation

 backup and restore of data