MB-500 Microsoft Dynamics 365 Finance and Operations Apps Developer

Price
Net €
VAT €

Price
Price on Request

Duration
5 days

For companies and job seekers:
this course is 100% fundable!

Location

Course Language
English

Training Solutions
Online Live

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Digital business models are based on adaptable, stable ERP platforms. The development of customized functions and enhancements forms the basis for efficient workflows and reliable business processes.

Key topics

Extension and customization of business applications.
Development with X++ and object-oriented methods.
Business logic, data models, and integrations.
Security concepts, roles, and authorizations.
Performance, quality assurance, and maintenance.

Prerequisites
Knowledge of software development, object-oriented programming, and a basic understanding of business processes and relational databases.

Target group
Developers, technical consultants, and IT specialists with a focus on ERP, business apps, cloud technologies, and enterprise software.

Technical expertise is combined with modern development practices and clear system architecture. This results in sustainable expertise for sophisticated business solutions in dynamic IT environments.

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Course content

Ecological system

Financial and operational applications and related applications
On-premises and cloud-based financial and operational applications - Financial and operational applications
Development and deployment processes
The user interface
Reporting functions

Architecture

Distinction between cloud and on-premises architecture
Elements, models, and packages
Application components and architecture
Processes for managing metadata
Source code control processes
Code compliance with company policies
Overview of lifecycle services

Design and provision

Identification of relevant business concepts
Evaluation of functional specifications and preparation of technical design documentation
Identifying technical gaps
Design patterns and practices for code deployment
The process for deploying code changes
Frameworks for financial and operational applications

Implementation

Performing support tasks
Provisioning and managing environments
Managing asset libraries
Managing the code update process

Performance and monitoring tools

Diagnosing performance issues with the trace parser
Load testing using the Performance SDK
Performance monitoring with SQL Insights
Creating an SQL trace with SQL Profiler
Monitoring server health metrics in Lifecycle Services

Source code management

Setting up Visual Studio to connect to Azure DevOps
Working in Visual Studio
Managing and performing code reviews

Test frameworks and tools

Unit test framework
Library for acceptance tests
Task recorder
Tool for best practices
Identify different categories and types of errors
Configuring the test environment and preparing data
Execute unit tests
Document and fix problems

Reporting tools

Create and modify report data sources and supporting classes
Implement security requirements for reports
Publishing a report

VHD

Setting up a VHD for first-time use
Setting up and managing a downloadable VHD for development
Upgrading the VHD

Financial and business applications

Creating and building projects
Creating and using label files
Managing metadata with the Application Explorer
Creating deployment packages
Synchronizing data changes with the database
Using the Element Designer to develop elements

Development with X++

Implementation of basic types and operators
Common structured programming constructs of X++
Using X++ to write SQL statements
Using conditional and iterative statements
Handling exceptions
Using constant values
Using X++ runtime functions for common tasks
Calling .NET libraries with X++ code

Object-oriented codes

Getting to know inheritance and abstract classes
Using attributes
Implementing the command chain
Implementing X++ Scoping and access identifiers
Interfaces

Application Lifecycle Management

ALM methodologies
Design and create models
Planning build, test, and quality control processes
Identifying upgrade scenarios and suitable tools
Planning release, change, and risk management processes

Data types and enumerations

Advanced data types and element properties
Basic enums and element properties

Data models

Creating tables and table fields
Filling in table and field properties
Adding fields, field groups, indexes, and relationships
Table methods
Creating, managing, and extending views
Creating, managing, and extending queries
Create, manage, and extend table maps

Forms

Adding a new form to a project and applying a template
Adding a data source to a form
Adding grids, fields, and groups to a form
Methods for forms
Creating and filling menu items
Creating and extending menus
Testing form functionality and data connections
Diagnosing and optimizing client performance
Optimizing form loading and performance

Classes

Adding a class to a project
Adding code and methods to meet business requirements
Data manipulation

Reports

Implementation of business document management
Creating and modifying reports using SSRS
Implementation of query objects and Query Builder
Creating and modifying reports using Power BI
Creating and modifying reports using Excel

Fields of work

Design KPIs
Creating drill-through workspace elements
Creating custom, reusable report functions using RDL
Implementing integrated KPIs, charts, and other report components

Safety

Creating and modifying tasks, privileges, and permissions
Enforcing authorization policies
Extensible framework for data security
Applying security permissions
Microsoft Entra ID and OAuth 2.0 authentication

Performance optimization

Identification and application of caching mechanisms
Optimizing the use of temporary tables
Use of set-based statements and row-based operations
Principles of query optimization
Changing the scope of a variable
Analyzing and optimizing concurrency
Applying parallel processing algorithms
Implementing the Async Framework
Developing Windows PowerShell scripts

Extension framework

Adaptation models
Extension points for frameworks
Developing code to extend a framework
Creating pre-event and post-event handler classes
Implementing the SysOperationSandbox framework

Elements

Adding a table extension to a project
Adding a form extension to a project
Extending menus
Implementing delegates

Business events

Event framework
Creating a new event
Activating events
Consuming events
Extending an existing event
Role-based security for events
Events in Microsoft Power Automate

Workflows

Workflow types for business processes
Creating and setting up workflows
Assigning users to workflow elements
Using the daily journal workflow

Data integration patterns and scenarios

Select integration API
Synchronous and asynchronous patterns
Data integration scenarios

Concepts and solutions

Developing an entity and activating it for data export
Implementing custom services
Making OData endpoints of data entities available
Using external web services
Integrating financial and operational applications with Microsoft Excel
Integrating financial and operational applications with external applications using Power Apps
Download solutions for electronic document exchange
Verifying source and target data for audits
Troubleshooting with JSON web tokens

Data Management Package API

Import and export APIs
Monitor the status of APIs
Manage entity change tracking
Create wrapper classes to use external web services
Creating wrapper classes with C#

Data integration

Setting up a data project and a recurring data job
Implementing permissions to support integration
Monitoring the status and availability of entities
Develop data transformation
Microsoft Dataverse integrations
Dataverse integration using virtual entities
Working with composite data entities
Azure Data Lake and entity storage
Connecting to Azure Data Lake storage
Modifying data in Azure Data Lake
Power Platform convergence

Data for migration

Selecting a data integration strategy (import/export)
Common migration scenarios and tools
Bringing your own database (BYOD)
Testing data migration and validating output

Data sources

Identifying requirements for report data sources for external sources
Create and manage custom data sources
Optimizing data units to achieve better performance

Integration with Microsoft Azure

Develop and integrate with Logic Apps
Development and integration of Microsoft Power Platform
Integration of financial and operational applications with enterprise applications
Automation of EAI, B2B, EDI, and business processes with Logic Apps
Use data from the Azure Machine Learning service
Enabling connectivity with external services
Optimizing data units for better performance

Microsoft Power Platform services

Connect financial and operational application data with Power Automate
Triggers and actions used in Power Automate for financial and operational applications
Connect to financial and operational application data with Power Apps
Financial and operational data on Common Data Model and Microsoft Dataverse

Tools and best practices