Oversikt over relevante kurs innen IT-kurs i Bjørnemyr

Understand the purpose and key concepts of the Service Level Management Practice, elucidating its significance in defining, negotiating, and managing service levels to meet customer expectations. This eLearning is: Interactive Self-paced   Device-friendly   2-3 hours content   Mobile-optimised   Practical exercises   Exam: 20 questions Multiple choise 30 minutes Closed book Minimum required score to pass: 65% [-]

Understand the purpose and key concepts of Deployment Management, highlighting its importance in managing the deployment of new or changed services into the live environment. This eLearning is: Interactive Self-paced   Device-friendly   2-3 hours of content   Mobile-optimised   Exam: 20 questions Multiple choise 30 minutes Closed book Minimum required score to pass: 65% [-]

Understand the purpose and key concepts of the Service Desk practice, including how it serves as the central point of contact between the service provider and the users, facilitating effective communication. This eLearning is: Interactive Self-paced Device-friendly 2-3 hours content mobil-optimised practical exercises     Exam: 20 questions Multiple Choice 30 minutes Closed book Minimum required score to pass: (65%)   [-]

AZ-1008: Administer Active Directory Domain Services [-]

Understand the purpose and key concepts of Service Configuration Management, including its role in maintaining accurate and reliable information about configuration items (CIs) within the IT infrastructure. This eLearning is: Interactive Self-paced Device-friendly 2-3 hours content Mobile-optimised Practical exercises   Exam: 20 questions Multiple Choice 30 Minutes Closed book Pass Mark: 65% [-]

Understand the purpose and key concepts of the Continual Improvement Practice, elucidating its significance in fostering a culture of ongoing improvement and innovation within the organisation. This eLearning is: Interactive Self-paced   Device-friendly   2-3 hours content   Mobile-optimised   Practical exercises   Exam: 20 questions Multiple choise 30 minutes Closed book Minimum required score to pass: 65% [-]

Understand the key concepts of Relationship Management, Supplier Management, Service Level Management, Continual Improvement, and Information Security Management, elucidating their significance in fostering collaboration, ensuring service quality, driving continual improvement, and maintaining information security. This eLearning is: Interactive Self-paced   Device-friendly   12 hours content   Mobile-optimised   Practical exercises   Exam: 60 questions Multiple choise 90 minutes Closed book Minimum required score to pass: 65% [-]

Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as pods, containers, deployments, and services; as well as networks and application services. This course also covers deploying practical solutions including security and access management, resource management, and resource monitoring. Objectives This course teaches participants the following skills: Understand how software containers work Understand the architecture of Kubernetes Understand the architecture of Google Cloud Platform Understand how pod networking works in Kubernetes Engine Create and manage Kubernetes Engine clusters using the GCP Console and gcloud/kubectl commands Launch, roll back and expose jobs in Kubernetes Manage access control using Kubernetes RBAC and Google Cloud IAM Managing pod security policies and network policies Using Secrets and ConfigMaps to isolate security credentials and configuration artifacts Understand GCP choices for managed storage services Monitor applications running in Kubernetes Engine   Course Outline Module 1: Introduction to Google Cloud Platform Use the Google Cloud Platform Console Use Cloud Shell Define cloud computing Identify GCP’s compute services Understand regions and zones Understand the cloud resource hierarchy Administer your GCP resources Module 2: Containers and Kubernetes in GCP Create a container using Cloud Build Store a container in Container Registry Understand the relationship between Kubernetes and Google Kubernetes Engine (GKE) Understand how to choose among GCP compute platforms Module 3: Kubernetes Architecture Understand the architecture of Kubernetes: pods, namespaces Understand the control-plane components of Kubernetes Create container images using Google Cloud Build Store container images in Google Container Registry Create a Kubernetes Engine cluster Module 4: Kubernetes Operations Work with the kubectl command Inspect the cluster and Pods View a Pod’s console output Sign in to a Pod interactivelty Module 5: Deployment, Jobs, and Scaling Create and use Deployments Create and run Jobs and CronJobs Scale clusters manually and automatically Configure Node and Pod affinity Get software into your cluster with Helm charts and Kubernetes Marketplace Module 6: GKE Networking Create Services to expose applications that are running within Pods Use load balancers to expose Services to external clients Create Ingress resources for HTTP(S) load balancing Leverage container-native load balancing to improve Pod load balancing Define Kubernetes network policies to allow and block traffic to pods Module 7: Persistent Data and Storage Use Secrets to isolate security credentials Use ConfigMaps to isolate configuration artifacts Push out and roll back updates to Secrets and ConfigMaps Configure Persistent Storage Volumes for Kubernetes Pods Use StatefulSets to ensure that claims on persistent storage volumes persist across restarts Module 8: Access Control and Security in Kubernetes and Kubernetes Engine Understand Kubernetes authentication and authorization Define Kubernetes RBAC roles and role bindings for accessing resources in namespaces Define Kubernetes RBAC cluster roles and cluster role bindings for accessing cluster-scoped resources Define Kubernetes pod security policies Understand the structure of GCP IAM Define IAM roles and policies for Kubernetes Engine cluster administration Module 9: Logging and Monitoring Use Stackdriver to monitor and manage availability and performance Locate and inspect Kubernetes logs Create probes for wellness checks on live applications Module 10: Using GCP Managed Storage Services from Kubernetes Applications Understand pros and cons for using a managed storage service versus self-managed containerized storage Enable applications running in GKE to access GCP storage services Understand use cases for Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Bigtable, Cloud Firestore, and BigQuery from within a Kubernetes application [-]

Kursinnhold FINN.RAD() FINN.KOLONNE() XOPPSLAG() – den nye oppslagsfunksjonen. Super funksjonalitet INDEKS() / SAMMENLIGNE() [-]

Her starter vi ganske på begynnelsen, og går ut fra at deltagerne har liten eller ingen erfaring med Excel. Vi starter med de grunnleggende prinsippene, og bygger så videre på dem. I stikkordsform ser innholdet ut slik: Regnearkets oppbygning – grunnprinsipper Tall og tekst – identifisere og korrigere/konvertere Listefunksjonalitet – sortere, filtrere, redigere, skrive ut, etc. Grunnleggende formelbygging – de fire regneartene Kopiering av formler – absolutte og relative referanser Sentrale funksjoner: SUMMER, GJENNOMSNITT, HVIS,   HVISFEIL Modellbyggingsteknikker - sammendrag av data over flere ark Grafiske fremstillinger av numeriske data Identifisere og fjerne duplikatverdier fra en liste Arbeide med tid (dager, klokkeslett, etc.) i Excel [-]

Microsoft Project 365 er et av verdens mest brukte verktøy for planlegging og oppfølging av prosjekter. Dette kurset lærer deg å få kontroll på aktiviteter, ressurser, kostnader og tidsbruk. Du lærer hvordan du kan ta ut fremdriftsplaner, lage flotte rapporter og hvordan du kan gjøre nytte av Project’s automatikk for å løse opp i problemstillinger med overforbruk av tid, ressurser og kostnader.   Kursinstruktør Geir Johan Gylseth Geir Johan Gylseth er utdannet ved Universitetet i Oslo med hovedvekt på Informatikk og har over 30 års erfaring som instruktør. Geir sin styrke ligger innenfor MS Office. Han har lang erfaring med skreddersøm av kurs, kursmanualer og oppgaver. Geir er en entusiastisk og dyktig instruktør som får meget gode evalueringer.   Kursinnhold Skriver du inn start- og sluttdato i tabell-delen og opplever at du ikke klarer å re-planlegge? Får du ikke korrekt antall timer på aktivitetene dine? Er det vanskelig å få kostnadene i Project til å stemme overens med de virkelige? Bruker du andre programmer til å lage skikkelige fremdriftsplaner? Er det vanskelig å lage forståelige rapporter? Er det vanskelig å få korrekte start-dato på aktivitetene dine? Blir hele prosjektet forskjøvet i tid når du bare gjør en liten endring?   Dette er vanlige problemstillinger mange sliter med og som blir borte etter endt kurs! På kun 2 dager vil du mestre de vanligste arbeidsoppgavene i Project. Du lærer gode rutiner og hurtigtastene du trenger for å kunne arbeide rasktog effektivt. Du vil føle deg trygg på at det er du som kontrollerer Project og ikke omvendt! Du vil også få en rekke tips og triks du kan bruke i din arbeidsdag. Alt du lærer får du repetert gjennom aktiv oppgaveløsning slik at du husker det du har lært når du kommer tilbake på jobb. Kursdokumentasjon, lunsj og pausemat er selvsagt inkludert! NB: Ta med egen PC    Dag 1 Dag 1 bruker vi mest tid på aktiviteter og på å sy dem sammen til en god plan. På slutten av dagen ser vi på ressurser og kostnader og hvordan de kan håndteres av Project. Bli kjent med Project Oppstart og avslutning Åpning, lagring og lukking Visninger Nytt prosjekt Kalenderalternativer Aktiviteter Manuell planlegging Registrering av aktiviteter Redigering av aktiviteter Disposisjon Kobling av aktiviteter Tidsforskyvning Tidsbetingelser Ressurser og Kostnader Ressursliste Ressurskostnader Tildeling av ressurser Innsatsdrevet planlegging Aktivitetstyper Ressurskonflikter Faste kostnader Kostnadsinformasjon   Dag 2 Dag 2 begynner vi med repetisjon av dag 1 og deretter tar vi for oss hva som skjer når prosjektet ruller og går: Baseline, oppfølging, rapportering og hvordan få prosjektet på sporet igjen. Vi ser også på tilpasning av Project til den enkeltes behov.   Repetisjonsoppgave Oppfølging Referanseplaner Den kritiske linjen Faktiske opplysninger Sammenligning Framdriftslinje Justering av prosjektplanen Presentasjon Utskrift Rapporter Visuelle rapporter Formatering Tegning Tidslinjeverktøy Hyperkoblinger Kopiere bilder av visninger Tilpasninger Tabeller Sortering og gruppering Filtrering Egendefinerte visninger Delprosjekter WBS-nummerering   Meld deg på Project-kurs allerede i dag og sikre deg plass!   Hilsen fra fornøyde deltagere: "Bra og oversiktlig kurs. Ting som har vært uklart i forhold til "MSP" blir belyst, og man forstår logikken i programmet. Man forstår med andre ord funksjonaliteten i programmet gjennom kurset".Ken Inge Bavda- ENI Norge   "Bra og forståelig gjennomgang av innholdet. Passe fart på læringen. Flink kursinstruktør".Trude Sundblad- EVRY AS   "Kurset var lærerikt og informativt. Kursleder var faglig dyktig og hadde godt humør. Jeg hadde to lærerike dager".Christopher Rustad- Opak AS   "Føler at jeg har et godt utgangspunkt for å komme i gang med å bruke programmet. godt utgangspunkt, fornøyd med kurset, det svarte til mine forventninger".Jane-Britt Berntsen- Norwex Holding AS   [-]

COURSE OVERVIEW Learn how to investigate, respond to, and hunt for threats using Microsoft Azure Sentinel, Azure Defender, and Microsoft 365 Defender. In this course you will learn how to mitigate cyberthreats using these technologies. Specifically, you will configure and use Azure Sentinel as well as utilize Kusto Query Language (KQL) to perform detection, analysis, and reporting. The course was designed for people who work in a Security Operations job role and helps learners prepare for the exam SC-200: Microsoft Security Operations Analyst. TARGET AUDIENCE The Microsoft Security Operations Analyst collaborates with organizational stakeholders to secure information technology systems for the organization. Their goal is to reduce organizational risk by rapidly remediating active attacks in the environment, advising on improvements to threat protection practices, and referring violations of organizational policies to appropriate stakeholders. Responsibilities include threat management, monitoring, and response by using a variety of security solutions across their environment. The role primarily investigates, responds to, and hunts for threats using Microsoft Azure Sentinel, Azure Defender, Microsoft 365 Defender, and third-party security products. Since the Security Operations Analyst consumes the operational output of these tools, they are also a critical stakeholder in the configuration and deployment of these technologies. COURSE OBJECTIVES Explain how Microsoft Defender for Endpoint can remediate risks in your environment Create a Microsoft Defender for Endpoint environment Configure Attack Surface Reduction rules on Windows 10 devices Perform actions on a device using Microsoft Defender for Endpoint Investigate domains and IP addresses in Microsoft Defender for Endpoint Investigate user accounts in Microsoft Defender for Endpoint Configure alert settings in Microsoft Defender for Endpoint Explain how the threat landscape is evolving Conduct advanced hunting in Microsoft 365 Defender Manage incidents in Microsoft 365 Defender Explain how Microsoft Defender for Identity can remediate risks in your environment. Investigate DLP alerts in Microsoft Cloud App Security Explain the types of actions you can take on an insider risk management case. Configure auto-provisioning in Azure Defender Remediate alerts in Azure Defender Construct KQL statements Filter searches based on event time, severity, domain, and other relevant data using KQL Extract data from unstructured string fields using KQL Manage an Azure Sentinel workspace Use KQL to access the watchlist in Azure Sentinel Manage threat indicators in Azure Sentinel Explain the Common Event Format and Syslog connector differences in Azure Sentinel Connect Azure Windows Virtual Machines to Azure Sentinel Configure Log Analytics agent to collect Sysmon events Create new analytics rules and queries using the analytics rule wizard Create a playbook to automate an incident response Use queries to hunt for threats Observe threats over time with livestream COURSE CONTENT Module 1: Mitigate threats using Microsoft Defender for Endpoint Implement the Microsoft Defender for Endpoint platform to detect, investigate, and respond to advanced threats. Learn how Microsoft Defender for Endpoint can help your organization stay secure. Learn how to deploy the Microsoft Defender for Endpoint environment, including onboarding devices and configuring security. Learn how to investigate incidents and alerts using Microsoft Defender for Endpoints. Perform advanced hunting and consult with threat experts. You will also learn how to configure automation in Microsoft Defender for Endpoint by managing environmental settings.. Lastly, you will learn about your environment's weaknesses by using Threat and Vulnerability Management in Microsoft Defender for Endpoint. Lessons M1 Protect against threats with Microsoft Defender for Endpoint Deploy the Microsoft Defender for Endpoint environment Implement Windows 10 security enhancements with Microsoft Defender for Endpoint Manage alerts and incidents in Microsoft Defender for Endpoint Perform device investigations in Microsoft Defender for Endpoint Perform actions on a device using Microsoft Defender for Endpoint Perform evidence and entities investigations using Microsoft Defender for Endpoint Configure and manage automation using Microsoft Defender for Endpoint Configure for alerts and detections in Microsoft Defender for Endpoint Utilize Threat and Vulnerability Management in Microsoft Defender for Endpoint Lab M1: Mitigate threats using Microsoft Defender for Endpoint Deploy Microsoft Defender for Endpoint Mitigate Attacks using Defender for Endpoint After completing module 1, students will be able to: Define the capabilities of Microsoft Defender for Endpoint Configure Microsoft Defender for Endpoint environment settings Configure Attack Surface Reduction rules on Windows 10 devices Investigate alerts in Microsoft Defender for Endpoint Describe device forensics information collected by Microsoft Defender for Endpoint Conduct forensics data collection using Microsoft Defender for Endpoint Investigate user accounts in Microsoft Defender for Endpoint Manage automation settings in Microsoft Defender for Endpoint Manage indicators in Microsoft Defender for Endpoint Describe Threat and Vulnerability Management in Microsoft Defender for Endpoint Module 2: Mitigate threats using Microsoft 365 Defender Analyze threat data across domains and rapidly remediate threats with built-in orchestration and automation in Microsoft 365 Defender. Learn about cybersecurity threats and how the new threat protection tools from Microsoft protect your organization’s users, devices, and data. Use the advanced detection and remediation of identity-based threats to protect your Azure Active Directory identities and applications from compromise. Lessons M2 Introduction to threat protection with Microsoft 365 Mitigate incidents using Microsoft 365 Defender Protect your identities with Azure AD Identity Protection Remediate risks with Microsoft Defender for Office 365 Safeguard your environment with Microsoft Defender for Identity Secure your cloud apps and services with Microsoft Cloud App Security Respond to data loss prevention alerts using Microsoft 365 Manage insider risk in Microsoft 365 Lab M2: Mitigate threats using Microsoft 365 Defender Mitigate Attacks with Microsoft 365 Defender After completing module 2, students will be able to: Explain how the threat landscape is evolving. Manage incidents in Microsoft 365 Defender Conduct advanced hunting in Microsoft 365 Defender Describe the investigation and remediation features of Azure Active Directory Identity Protection. Define the capabilities of Microsoft Defender for Endpoint. Explain how Microsoft Defender for Endpoint can remediate risks in your environment. Define the Cloud App Security framework Explain how Cloud Discovery helps you see what's going on in your organization Module 3: Mitigate threats using Azure Defender Use Azure Defender integrated with Azure Security Center, for Azure, hybrid cloud, and on-premises workload protection and security. Learn the purpose of Azure Defender, Azure Defender's relationship to Azure Security Center, and how to enable Azure Defender. You will also learn about the protections and detections provided by Azure Defender for each cloud workload. Learn how you can add Azure Defender capabilities to your hybrid environment. Lessons M3 Plan for cloud workload protections using Azure Defender Explain cloud workload protections in Azure Defender Connect Azure assets to Azure Defender Connect non-Azure resources to Azure Defender Remediate security alerts using Azure Defender Lab M3: Mitigate threats using Azure Defender Deploy Azure Defender Mitigate Attacks with Azure Defender After completing module 3, students will be able to: Describe Azure Defender features Explain Azure Security Center features Explain which workloads are protected by Azure Defender Explain how Azure Defender protections function Configure auto-provisioning in Azure Defender Describe manual provisioning in Azure Defender Connect non-Azure machines to Azure Defender Describe alerts in Azure Defender Remediate alerts in Azure Defender Automate responses in Azure Defender Module 4: Create queries for Azure Sentinel using Kusto Query Language (KQL) Write Kusto Query Language (KQL) statements to query log data to perform detections, analysis, and reporting in Azure Sentinel. This module will focus on the most used operators. The example KQL statements will showcase security related table queries. KQL is the query language used to perform analysis on data to create analytics, workbooks, and perform hunting in Azure Sentinel. Learn how basic KQL statement structure provides the foundation to build more complex statements. Learn how to summarize and visualize data with a KQL statement provides the foundation to build detections in Azure Sentinel. Learn how to use the Kusto Query Language (KQL) to manipulate string data ingested from log sources. Lessons M4 Construct KQL statements for Azure Sentinel Analyze query results using KQL Build multi-table statements using KQL Work with data in Azure Sentinel using Kusto Query Language Lab M4: Create queries for Azure Sentinel using Kusto Query Language (KQL) Construct Basic KQL Statements Analyze query results using KQL Build multi-table statements using KQL Work with string data using KQL statements After completing module 4, students will be able to: Construct KQL statements Search log files for security events using KQL Filter searches based on event time, severity, domain, and other relevant data using KQL Summarize data using KQL statements Render visualizations using KQL statements Extract data from unstructured string fields using KQL Extract data from structured string data using KQL Create Functions using KQL Module 5: Configure your Azure Sentinel environment Get started with Azure Sentinel by properly configuring the Azure Sentinel workspace. Traditional security information and event management (SIEM) systems typically take a long time to set up and configure. They're also not necessarily designed with cloud workloads in mind. Azure Sentinel enables you to start getting valuable security insights from your cloud and on-premises data quickly. This module helps you get started. Learn about the architecture of Azure Sentinel workspaces to ensure you configure your system to meet your organization's security operations requirements. As a Security Operations Analyst, you must understand the tables, fields, and data ingested in your workspace. Learn how to query the most used data tables in Azure Sentinel. Lessons M5 Introduction to Azure Sentinel Create and manage Azure Sentinel workspaces Query logs in Azure Sentinel Use watchlists in Azure Sentinel Utilize threat intelligence in Azure Sentinel Lab M5 : Configure your Azure Sentinel environment Create an Azure Sentinel Workspace Create a Watchlist Create a Threat Indicator After completing module 5, students will be able to: Identify the various components and functionality of Azure Sentinel. Identify use cases where Azure Sentinel would be a good solution. Describe Azure Sentinel workspace architecture Install Azure Sentinel workspace Manage an Azure Sentinel workspace Create a watchlist in Azure Sentinel Use KQL to access the watchlist in Azure Sentinel Manage threat indicators in Azure Sentinel Use KQL to access threat indicators in Azure Sentinel Module 6: Connect logs to Azure Sentinel Connect data at cloud scale across all users, devices, applications, and infrastructure, both on-premises and in multiple clouds to Azure Sentinel. The primary approach to connect log data is using the Azure Sentinel provided data connectors. This module provides an overview of the available data connectors. You will get to learn about the configuration options and data provided by Azure Sentinel connectors for Microsoft 365 Defender. Lessons M6 Connect data to Azure Sentinel using data connectors Connect Microsoft services to Azure Sentinel Connect Microsoft 365 Defender to Azure Sentinel Connect Windows hosts to Azure Sentinel Connect Common Event Format logs to Azure Sentinel Connect syslog data sources to Azure Sentinel Connect threat indicators to Azure Sentinel Lab M6: Connect logs to Azure Sentinel Connect Microsoft services to Azure Sentinel Connect Windows hosts to Azure Sentinel Connect Linux hosts to Azure Sentinel Connect Threat intelligence to Azure Sentinel After completing module 6, students will be able to: Explain the use of data connectors in Azure Sentinel Explain the Common Event Format and Syslog connector differences in Azure Sentinel Connect Microsoft service connectors Explain how connectors auto-create incidents in Azure Sentinel Activate the Microsoft 365 Defender connector in Azure Sentinel Connect Azure Windows Virtual Machines to Azure Sentinel Connect non-Azure Windows hosts to Azure Sentinel Configure Log Analytics agent to collect Sysmon events Explain the Common Event Format connector deployment options in Azure Sentinel Configure the TAXII connector in Azure Sentinel View threat indicators in Azure Sentinel Module 7: Create detections and perform investigations using Azure Sentinel Detect previously uncovered threats and rapidly remediate threats with built-in orchestration and automation in Azure Sentinel. You will learn how to create Azure Sentinel playbooks to respond to security threats. You'll investigate Azure Sentinel incident management, learn about Azure Sentinel events and entities, and discover ways to resolve incidents. You will also learn how to query, visualize, and monitor data in Azure Sentinel. Lessons M7 Threat detection with Azure Sentinel analytics Threat response with Azure Sentinel playbooks Security incident management in Azure Sentinel Use entity behavior analytics in Azure Sentinel Query, visualize, and monitor data in Azure Sentinel Lab M7: Create detections and perform investigations using Azure Sentinel Create Analytical Rules Model Attacks to Define Rule Logic Mitigate Attacks using Azure Sentinel Create Workbooks in Azure Sentinel After completing module 7, students will be able to: Explain the importance of Azure Sentinel Analytics. Create rules from templates. Manage rules with modifications. Explain Azure Sentinel SOAR capabilities. Create a playbook to automate an incident response. Investigate and manage incident resolution. Explain User and Entity Behavior Analytics in Azure Sentinel Explore entities in Azure Sentinel Visualize security data using Azure Sentinel Workbooks. Module 8: Perform threat hunting in Azure Sentinel In this module, you'll learn to proactively identify threat behaviors by using Azure Sentinel queries. You'll also learn to use bookmarks and livestream to hunt threats. You will also learn how to use notebooks in Azure Sentinel for advanced hunting. Lessons M8 Threat hunting with Azure Sentinel Hunt for threats using notebooks in Azure Sentinel Lab M8 : Threat hunting in Azure Sentinel Threat Hunting in Azure Sentinel Threat Hunting using Notebooks After completing this module, students will be able to: Describe threat hunting concepts for use with Azure Sentinel Define a threat hunting hypothesis for use in Azure Sentinel Use queries to hunt for threats. Observe threats over time with livestream. Explore API libraries for advanced threat hunting in Azure Sentinel Create and use notebooks in Azure Sentinel [-]

COURSE OVERVIEW The course teaches IT Professionals how to implement and manage on-premises and hybrid solutions such as identity, management, compute, networking, and storage in a Windows Server hybrid environment. TARGET AUDIENCE This four-day course is intended for Windows Server Hybrid Administrators who have experience working with Windows Server and want to extend the capabilities of their on-premises environments by combining on-premises and hybrid technologies. Windows Server Hybrid Administrators implement and manage on-premises and hybrid solutions such as identity, management, compute, networking, and storage in a Windows Server hybrid environment. COURSE OBJECTIVES After you complete this course you will be able to: Use administrative techniques and tools in Windows Server. Identify tools used to implement hybrid solutions, including Windows Admin Center and PowerShell. Implement identity services in Windows Server. Implement identity in hybrid scenarios, including Azure AD DS on Azure IaaS and managed AD DS. Integrate Azure AD DS with Azure AD. Manage network infrastructure services. Deploy Azure VMs running Windows Server, and configure networking and storage. Administer and manage Windows Server IaaS Virtual Machine remotely. Manage and maintain Azure VMs running Windows Server. Configure file servers and storage. Implement File Services in hybrid scenarios, using Azure Files and Azure File Sync. COURSE CONTENT Module 1: Identity services in Windows Server This module introduces identity services and describes Active Directory Domain Services (AD DS) in a Windows Server environment. The module describes how to deploy domain controllers in AD DS, as well as Azure Active Directory (AD) and the benefits of integrating Azure AD with AD DS. The module also covers Group Policy basics and how to configure group policy objects (GPOs) in a domain environment. Lessons for module 1 Introduction to AD DS Manage AD DS domain controllers and FSMO roles Implement Group Policy Objects Manage advanced features of AD DS Lab : Implementing identity services and Group Policy Deploying a new domain controller on Server Core Configuring Group Policy After completing module 1, students will be able to: Describe AD DS in a Windows Server environment. Deploy domain controllers in AD DS. Describe Azure AD and benefits of integrating Azure AD with AD DS. Explain Group Policy basics and configure GPOs in a domain environment. Module 2: Implementing identity in hybrid scenarios This module discusses how to configure an Azure environment so that Windows IaaS workloads requiring Active Directory are supported. The module also covers integration of on-premises Active Directory Domain Services (AD DS) environment into Azure. Finally, the module explains how to extend an existing Active Directory environment into Azure by placing IaaS VMs configured as domain controllers onto a specially configured Azure virtual network (VNet) subnet. Lessons for module 2 Implement hybrid identity with Windows Server Deploy and manage Azure IaaS Active Directory domain controllers in Azure Lab : Implementing integration between AD DS and Azure AD Preparing Azure AD for AD DS integration Preparing on-premises AD DS for Azure AD integration Downloading, installing, and configuring Azure AD Connect Verifying integration between AD DS and Azure AD Implementing Azure AD integration features in AD DS After completing module 2, students will be able to: Integrate on-premises Active Directory Domain Services (AD DS) environment into Azure. Install and configure directory synchronization using Azure AD Connect. Implement and configure Azure AD DS. Implement Seamless Single Sign-on (SSO). Implement and configure Azure AD DS. Install a new AD DS forest on an Azure VNet. Module 3: Windows Server administration This module describes how to implement the principle of least privilege through Privileged Access Workstation (PAW) and Just Enough Administration (JEA). The module also highlights several common Windows Server administration tools, such as Windows Admin Center, Server Manager, and PowerShell. This module also describes the post-installation confguration process and tools available to use for this process, such as sconfig and Desired State Configuration (DSC). Lessons for module 3 Perform Windows Server secure administration Describe Windows Server administration tools Perform post-installation configuration of Windows Server Just Enough Administration in Windows Server Lab : Managing Windows Server Implementing and using remote server administration After completing module 3, students will be able to: Explain least privilege administrative models. Decide when to use privileged access workstations. Select the most appropriate Windows Server administration tool for a given situation. Apply different methods to perform post-installation configuration of Windows Server. Constrain privileged administrative operations by using Just Enough Administration (JEA). Module 4: Facilitating hybrid management This module covers tools that facilitate managing Windows IaaS VMs remotely. The module also covers how to use Azure Arc with on-premises server instances, how to deploy Azure policies with Azure Arc, and how to use role-based access control (RBAC) to restrict access to Log Analytics data. Lessons for module 4 Administer and manage Windows Server IaaS virtual machines remotely Manage hybrid workloads with Azure Arc Lab : Using Windows Admin Center in hybrid scenarios Provisioning Azure VMs running Windows Server Implementing hybrid connectivity by using the Azure Network Adapter Deploying Windows Admin Center gateway in Azure Verifying functionality of the Windows Admin Center gateway in Azure After completing module 4, students will be able to: Select appropriate tools and techniques to manage Windows IaaS VMs remotely. Explain how to onboard on-premises Windows Server instances in Azure Arc. Connect hybrid machines to Azure from the Azure portal. Use Azure Arc to manage devices. Restrict access using RBAC. Module 5: Hyper-V virtualization in Windows Server This modules describes how to implement and configure Hyper-V VMs and containers. The module covers key features of Hyper-V in Windows Server, describes VM settings, and how to configure VMs in Hyper-V. The module also covers security technologies used with virtualization, such as shielded VMs, Host Guardian Service, admin-trusted and TPM-trusted attestation, and Key Protection Service (KPS). Finally, this module covers how to run containers and container workloads, and how to orchestrate container workloads on Windows Server using Kubernetes. Lessons for module 5 Configure and manage Hyper-V Configure and manage Hyper-V virtual machines Secure Hyper-V workloads Run containers on Windows Server Orchestrate containers on Windows Server using Kubernetes Lab : Implementing and configuring virtualization in Windows Server Creating and configuring VMs Installing and configuring containers After completing module 5, students will be able to: Install and configure Hyper-V on Windows Server. Configure and manage Hyper-V virtual machines. Use Host Guardian Service to protect virtual machines. Create and deploy shielded virtual machines. Configure and manage container workloads. Orchestrate container workloads using a Kubernetes cluster. Module 6: Deploying and configuring Azure VMs This module describes Azure compute and storage in relation to Azure VMs, and how to deploy Azure VMs by using the Azure portal, Azure CLI, or templates. The module also explains how to create new VMs from generalized images and use Azure Image Builder templates to create and manage images in Azure. Finally, this module describes how to deploy Desired State Configuration (DSC) extensions, implement those extensions to remediate noncompliant servers, and use custom script extensions. Lessons for module 6 Plan and deploy Windows Server IaaS virtual machines Customize Windows Server IaaS virtual machine images Automate the configuration of Windows Server IaaS virtual machines Lab : Deploying and configuring Windows Server on Azure VMs Authoring Azure Resource Manager (ARM) templates for Azure VM deployment Modifying ARM templates to include VM extension-based configuration Deploying Azure VMs running Windows Server by using ARM templates Configuring administrative access to Azure VMs running Windows Server Configuring Windows Server security in Azure VMs After completing module 6, students will be able to: Create a VM from the Azure portal and from Azure Cloud Shell. Deploy Azure VMs by using templates. Automate the configuration of Windows Server IaaS VMs. Detect and remediate noncompliant servers. Create new VMs from generalized images. Use Azure Image Builder templates to create and manage images in Azure. Module 7: Network infrastructure services in Windows Server This module describes how to implement core network infrastructure services in Windows Server, such as DHCP and DNS. This module also covers how to implement IP address managment and how to use Remote Access Services. Lessons for module 7 Deploy and manage DHCP Implement Windows Server DNS Implement IP address management Implement remote access Lab : Implementing and configuring network infrastructure services in Windows Server Deploying and configuring DHCP Deploying and configuring DNS After completing module 7, students will be able to: Implement automatic IP configuration with DHCP in Windows Server. Deploy and configure name resolution with Windows Server DNS. Implement IPAM to manage an organization’s DHCP and DNS servers, and IP address space. Select, use, and manage remote access components. Implement Web Application Proxy (WAP) as a reverse proxy for internal web applications. Module 8: Implementing hybrid networking infrastructure This module describes how to connect an on-premises environment to Azure and how to configure DNS for Windows Server IaaS virtual machines. The module covers how to choose the appropriate DNS solution for your organization’s needs, and run a DNS server in a Windows Server Azure IaaS VM. Finally, this module covers how to manage manage Microsoft Azure virtual networks (VNets) and IP address configuration for Windows Server infrastructure as a service (IaaS) virtual machines. Lessons for module 8 Implement hybrid network infrastructure Implement DNS for Windows Server IaaS VMs Implement Windows Server IaaS VM IP addressing and routing Lab : Implementing Windows Server IaaS VM networking Implementing virtual network routing in Azure Implementing DNS name resolution in Azure After completing module 8, students will be able to: Implement an Azure virtual private network (VPN). Configure DNS for Windows Server IaaS VMs. Run a DNS server in a Windows Server Azure IaaS VM. Create a route-based VPN gateway using the Azure portal. Implement Azure ExpressRoute. Implement an Azure wide area network (WAN). Manage Microsoft Azure virtual networks (VNets). Manage IP address configuration for Windows Server IaaS virtual machines (VMs). Module 9: File servers and storage management in Windows Server This module covers the core functionality and use cases of file server and storage management technologies in Windows Server. The module discusses how to configure and manage the Windows File Server role, and how to use Storage Spaces and Storage Spaces Direct. This module also covers replication of volumes between servers or clusters using Storage Replica. Lessons for module 9 Manage Windows Server file servers Implement Storage Spaces and Storage Spaces Direct Implement Windows Server Data Deduplication Implement Windows Server iSCSI Implement Windows Server Storage Replica Lab : Implementing storage solutions in Windows Server Implementing Data Deduplication Configuring iSCSI storage Configuring redundant Storage Spaces Implementing Storage Spaces Direct After completing module 9, students will be able to: Configure and manage the Windows Server File Server role. Protect data from drive failures using Storage Spaces. Increase scalability and performance of storage management using Storage Spaces Direct. Optimize disk utilization using Data DeDuplication. Configure high availability for iSCSI. Enable replication of volumes between clusters using Storage Replica. Use Storage Replica to provide resiliency for data hosted on Windows Servers volumes. Module 10: Implementing a hybrid file server infrastructure This module introduces Azure file services and how to configure connectivity to Azure Files. The module also covers how to deploy and implement Azure File Sync to cache Azure file shares on an on-premises Windows Server file server. This module also describes how to manage cloud tiering and how to migrate from DFSR to Azure File Sync. Lessons for module 10 Overview of Azure file services Implementing Azure File Sync Lab : Implementing Azure File Sync Implementing DFS Replication in your on-premises environment Creating and configuring a sync group Replacing DFS Replication with File Sync–based replication Verifying replication and enabling cloud tiering Troubleshooting replication issues After completing module 10, students will be able to: Configure Azure file services. Configure connectivity to Azure file services. Implement Azure File Sync. Deploy Azure File Sync Manage cloud tiering. Migrate from DFSR to Azure File Sync.   [-]

Datagrunnlaget Gruppering Formatering Tallformater Visningsalternativer Feltinnstillinger Beregnede felt Bruk av flere pivottabeller i samme arbeidsbok Slicere som virker på flere pivottabeller eller pivotdiagrammer Tabellfunksjonalitet   Analyse av pivotdiagram Bruk av pivotdiagram i andre programmer   et er fordelaktig å ha to skjermer - en til å følge kurset og en til å gjøre det kursholder demonstrerer. Kurset gjennomføres i sanntid med nettundervisning via Teams. Det blir mulighet for å stille spørsmål, ha diskusjoner, demonstrasjoner og øvelser. Du vil motta en invitasjon til Teams fra kursholder.   [-]

Vi går gjennom praktiske øvelser og tips og triks for bruk av bl.a.  Passordløs ssh, scp og sftp ved bruk av nøkler Redigere flere dokumenter samtidig med vim Håndtere av brukere og grupper Navigere og håndtere filsystemer, mapper og filer, inkludert eierskap og tilganger Analyse av loggfiler og andre tabulære data med grep, cut, sort, unic, sed, awk, wc mm. Hente av eksterne filer med wget, og bruke eksterne api'er med curl Installere og konfigurere programvare med apt/yum/dnf og vim Sette opp og administrere brannmur med ufw Sjekke sikkerheten med nmap og ncrack Monitorering med top og htop Håndtere prosesser med ps, pstree, kill, killall, bg og fg Håndtere daemons med systemctl Logg-sjekk med journalctl og logwatch Backup, komprimering og arkivering med tar, rsync, zip, gzip og bzip2 Sette opp jobber i crontab og bruke anacron til å kjøre jobber til fastsatte tider Bruke drop-down terminal-emulatorer som guake og yakuake Bruke tmux/screen for å kjøre flere terminal sessions samtidig, bevare sessions etter utlogging osv. Kryptering og dekryptering med gnupg, inkludert lage nøkkelsett og publisere offentlig nøkkel på nøkkelservere.   [-]