55348 Administering Microsoft Endpoint Configuration Manager

This five-day course describes how to use Configuration Manager and its associated site systems to efficiently manage network resources. In this five-day course, you will learn day-to-day management tasks, including how to manage applications, client health, hardware and software inventory, operating system deployment, and software updates by using Configuration Manager. You also will learn how to optimize Endpoint Protection, manage compliance, and create management queries and reports. Although this course and the associated labs are written for Microsoft Endpoint Configuration Manager and Windows 11, the skills taught will also be backwards compatible with previous editions of System Center Configuration Manager and Windows 10.

Course Details

Price:

$2,995.00

Days:

Location:

Virtual

Course Overview

Describe the features Configuration Manager and Intune include, and explain how you can use these features to manage PCs and mobile devices in an enterprise environment. Analyze data by using queries and reports. Prepare a management infrastructure, including configuring boundaries, boundary groups, and resource discovery, and integrating mobile-device management with Intune. Deploy and manage the Configuration Manager client. Configure, manage, and monitor hardware and software inventory, and use Asset Intelligence and software metering. Identify and configure the most appropriate method to distribute and manage content used for deployments. Distribute, deploy, and monitor applications for managed users and systems. Maintain software updates for PCs that Configuration Manager manages. Implement Endpoint Protection for managed PCs. Configure an operating-system deployment strategy by using Configuration Manager. Manage and maintain a Configuration Manager site.

Networking fundamentals, including common networking protocols, topologies, hardware, media, routing, switching, and addressing. Active Directory Domain Services (AD DS) principles and fundamentals of AD DS management. Installation, configuration, and troubleshooting for Windows-based personal computers. Basic concepts of public key infrastructure (PKI) security. Basic understanding of scripting and Windows PowerShell syntax. Basic understanding of Windows Server roles and services. Basic understanding of the configuration options for iOS and Android Mobile device platforms.

1 – Explore Azure data services for modern analytics

Understand the Azure data ecosystem
Explore modern analytics solution architecture

2 – Understand concepts of data analytics

Understand data analytics types
Explore the data analytics process
Understand types of data and data storage

3 – Explore data analytics at scale

Explore data team roles and responsibilities
Review tasks and tools for data analysts
Scale analytics with Azure Synapse Analytics and Power BI
Strategies to scale analytics

4 – Introduction to Microsoft Purview

What is Microsoft Purview?
How Microsoft Purview works
When to use Microsoft Purview

5 – Discover trusted data using Microsoft Purview

Search for assets
Browse assets
Use assets with Power BI
Integrate with Azure Synapse Analytics

6 – Catalog data artifacts by using Microsoft Purview

Register and scan data
Classify and label data
Search the data catalog

7 – Manage Power BI assets by using Microsoft Purview

Register and scan a Power BI tenant
Search and browse Power BI assets
View Power BI metadata and lineage

8 – Integrate Microsoft Purview and Azure Synapse Analytics

Catalog Azure Synapse Analytics data assets in Microsoft Purview
Connect Microsoft Purview to an Azure Synapse Analytics workspace
Search a Purview catalog in Synapse Studio
Track data lineage in pipelines

9 – Introduction to Azure Synapse Analytics

What is Azure Synapse Analytics
How Azure Synapse Analytics works
When to use Azure Synapse Analytics

10 – Use Azure Synapse serverless SQL pool to query files in a data lake

Understand Azure Synapse serverless SQL pool capabilities and use cases
Query files using a serverless SQL pool
Create external database objects

11 – Analyze data with Apache Spark in Azure Synapse Analytics

Get to know Apache Spark
Use Spark in Azure Synapse Analytics
Analyze data with Spark
Visualize data with Spark

12 – Analyze data in a relational data warehouse

Design a data warehouse schema
Create data warehouse tables
Load data warehouse tables
Query a data warehouse

13 – Choose a Power BI model framework

Describe Power BI model fundamentals
Determine when to develop an import model
Determine when to develop a DirectQuery model
Determine when to develop a composite model
Choose a model framework

14 – Understand scalability in Power BI

Describe the significance of scalable models
Implement Power BI data modeling best practices
Configure large datasets

15 – Create and manage scalable Power BI dataflows

Define use cases for dataflows
Create reusable assets
Implement best practices

16 – Create Power BI model relationships

Understand model relationships
Set up relationships
Use DAX relationship functions
Understand relationship evaluation

17 – Use DAX time intelligence functions in Power BI Desktop models

Use DAX time intelligence functions
Additional time intelligence calculations

18 – Create calculation groups

Understand calculation groups
Explore calculation groups features and usage
Create calculation groups in a model

19 – Enforce Power BI model security

Restrict access to Power BI model data
Restrict access to Power BI model objects
Apply good modeling practices

20 – Use tools to optimize Power BI performance

Use Performance analyzer
Troubleshoot DAX performance by using DAX Studio
Optimize a data model by using Best Practice Analyzer

21 – Understand advanced data visualization concepts

Create and import a custom report theme
Enable personalized visuals in a report
Design and configure Power BI reports for accessibility
Create custom visuals with R or Python
Review report performance using Performance Analyzer

22 – Monitor data in real-time with Power BI

Describe Power BI real-time analytics
Set up automatic page refresh
Create real-time dashboards
Set-up auto-refresh paginated reports

23 – Create paginated reports

Get data
Create a paginated report
Work with charts on the report
Publish the report

24 – Provide governance in a Power BI environment

Elements of data governance
Configure tenant settings
Deploy organizational visuals
Manage embed codes
Help and support settings

25 – Monitor and audit usage

Usage metrics for dashboards and reports
Usage metrics for dashboards and reports – new version
Audit logs
Activity log

26 – Broaden the reach of Power BI

REST API custom development
Provision a Power BI embedded capacity
Dataflow introduction
Dataflow explained
Create a Dataflow
Dataflow capabilities on Power BI Premium
Template apps – install packages
Template apps – installed entities
Template app governance

27 – Build reports using Power BI within Azure Synapse Analytics

Describe the Power BI and Synapse workspace integration
Understand Power BI data sources
Describe Power BI optimization options
Visualize data with serverless SQL pools

28 – Design a Power BI application lifecycle management strategy

Define application lifecycle management
Recommend a source control strategy
Design a deployment strategy

29 – Create and manage a Power BI deployment pipeline

Understand the deployment process
Create a deployment pipeline
Assign a workspace
Deploy content
Work with deployment pipelines

30 – Create and manage Power BI assets

Create reusable Power BI assets
Explore Power BI assets using lineage view
Manage a Power BI dataset using XMLA endpoint

Class Dates & Times


03/02/2026 - 03/06/2026 Virtual 09:00:00 to 17:00:00 EST Enroll Now $2,995.00
06/01/2026 - 06/05/2026 Virtual 09:00:00 to 17:00:00 EST Enroll Now $2,995.00
12/08/2025 - 12/12/2025 Virtual 09:00:00 to 17:00:00 EST Enroll Now $2,995.00

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