Oversikt over relevante kurs innen IT-kurs i Nøtterøy

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 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% [-]

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

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% [-]

. Students will also learn how to design and architect solutions using zero trust principles and specify security requirements for cloud infrastructure in different service models (SaaS, PaaS, IaaS). TARGET AUDIENCE IT professionals with advanced experience and knowledge in a wide range of security engineering areas, including identity and access, platform protection, security operations, securing data, and securing applications. They should also have experience with hybrid and cloud implementations. COURSE OBJECTIVES Design a Zero Trust strategy and architecture Evaluate Governance Risk Compliance (GRC) technical strategies and security operations strategies Design security for infrastructure Design a strategy for data and applications COURSE CONTENT Module 1: Build an overall security strategy and architecture Learn how to build an overall security strategy and architecture. Lessons M1 Introduction Zero Trust overview Develop Integration points in an architecture Develop security requirements based on business goals Translate security requirements into technical capabilities Design security for a resiliency strategy Design a security strategy for hybrid and multi-tenant environments Design technical and governance strategies for traffic filtering and segmentation Understand security for protocols Exercise: Build an overall security strategy and architecture Knowledge check Summary After completing module 1, students will be able to: Develop Integration points in an architecture Develop security requirements based on business goals Translate security requirements into technical capabilities Design security for a resiliency strategy Design security strategy for hybrid and multi-tenant environments Design technical and governance strategies for traffic filtering and segmentation Module 2: Design a security operations strategy Learn how to design a security operations strategy. Lessons M2 Introduction Understand security operations frameworks, processes, and procedures Design a logging and auditing security strategy Develop security operations for hybrid and multi-cloud environments Design a strategy for Security Information and Event Management (SIEM) and Security Orchestration, Evaluate security workflows Review security strategies for incident management Evaluate security operations strategy for sharing technical threat intelligence Monitor sources for insights on threats and mitigations After completing module 2, students will be able to: Design a logging and auditing security strategy Develop security operations for hybrid and multi-cloud environments. Design a strategy for Security Information and Event Management (SIEM) and Security Orchestration, A Evaluate security workflows. Review security strategies for incident management. Evaluate security operations for technical threat intelligence. Monitor sources for insights on threats and mitigations. Module 3: Design an identity security strategy Learn how to design an identity security strategy. Lessons M3 Introduction Secure access to cloud resources Recommend an identity store for security Recommend secure authentication and security authorization strategies Secure conditional access Design a strategy for role assignment and delegation Define Identity governance for access reviews and entitlement management Design a security strategy for privileged role access to infrastructure Design a security strategy for privileged activities Understand security for protocols After completing module 3, students will be able to: Recommend an identity store for security. Recommend secure authentication and security authorization strategies. Secure conditional access. Design a strategy for role assignment and delegation. Define Identity governance for access reviews and entitlement management. Design a security strategy for privileged role access to infrastructure. Design a security strategy for privileged access. Module 4: Evaluate a regulatory compliance strategy Learn how to evaluate a regulatory compliance strategy. Lessons M4 Introduction Interpret compliance requirements and their technical capabilities Evaluate infrastructure compliance by using Microsoft Defender for Cloud Interpret compliance scores and recommend actions to resolve issues or improve security Design and validate implementation of Azure Policy Design for data residency Requirements Translate privacy requirements into requirements for security solutions After completing module 4, students will be able to: Interpret compliance requirements and their technical capabilities Evaluate infrastructure compliance by using Microsoft Defender for Cloud Interpret compliance scores and recommend actions to resolve issues or improve security Design and validate implementation of Azure Policy Design for data residency requirements Translate privacy requirements into requirements for security solutions Module 5: Evaluate security posture and recommend technical strategies to manage risk Learn how to evaluate security posture and recommend technical strategies to manage risk. Lessons M5 Introduction Evaluate security postures by using benchmarks Evaluate security postures by using Microsoft Defender for Cloud Evaluate security postures by using Secure Scores Evaluate security hygiene of Cloud Workloads Design security for an Azure Landing Zone Interpret technical threat intelligence and recommend risk mitigations Recommend security capabilities or controls to mitigate identified risks After completing module 5, students will be able to: Evaluate security postures by using benchmarks Evaluate security postures by using Microsoft Defender for Cloud Evaluate security postures by using Secure Scores Evaluate security hygiene of Cloud Workloads Design security for an Azure Landing Zone Interpret technical threat intelligence and recommend risk mitigations Recommend security capabilities or controls to mitigate identified risks Module 6: Understand architecture best practices and how they are changing with the Cloud Learn about architecture best practices and how they are changing with the Cloud. Lessons M6 Introduction Plan and implement a security strategy across teams Establish a strategy and process for proactive and continuous evolution of a security strategy Understand network protocols and best practices for network segmentation and traffic filtering After completing module 6, students will be able to: Describe best practices for network segmentation and traffic filtering. Plan and implement a security strategy across teams. Establish a strategy and process for proactive and continuous evaluation of security strategy. Module 7: Design a strategy for securing server and client endpoints Learn how to design a strategy for securing server and client endpoints. Lessons M7 Introduction Specify security baselines for server and client endpoints Specify security requirements for servers Specify security requirements for mobile devices and clients Specify requirements for securing Active Directory Domain Services Design a strategy to manage secrets, keys, and certificates Design a strategy for secure remote access Understand security operations frameworks, processes, and procedures Understand deep forensics procedures by resource type After completing module 7, students will be able to: Specify security baselines for server and client endpoints Specify security requirements for servers Specify security requirements for mobile devices and clients Specify requirements for securing Active Directory Domain Services Design a strategy to manage secrets, keys, and certificates Design a strategy for secure remote access Understand security operations frameworks, processes, and procedures Understand deep forensics procedures by resource type Module 8: Design a strategy for securing PaaS, IaaS, and SaaS services Learn how to design a strategy for securing PaaS, IaaS, and SaaS services. Lessons M8 Introduction Specify security baselines for PaaS services Specify security baselines for IaaS services Specify security baselines for SaaS services Specify security requirements for IoT workloads Specify security requirements for data workloads Specify security requirements for web workloads Specify security requirements for storage workloads Specify security requirements for containers Specify security requirements for container orchestration After completing module 8, students will be able to: Specify security baselines for PaaS, SaaS and IaaS services Specify security requirements for IoT, data, storage, and web workloads Specify security requirements for containers and container orchestration Module 9: Specify security requirements for applications Learn how to specify security requirements for applications. Lessons M9 Introduction Understand application threat modeling Specify priorities for mitigating threats to applications Specify a security standard for onboarding a new application Specify a security strategy for applications and APIs After completing module 9, students will be able to: Specify priorities for mitigating threats to applications Specify a security standard for onboarding a new application Specify a security strategy for applications and APIs Module 10: Design a strategy for securing data Learn how to design a strategy for securing data. Lessons M10 Introduction Prioritize mitigating threats to data Design a strategy to identify and protect sensitive data Specify an encryption standard for data at rest and in motion After completing module 10, students will be able to: Prioritize mitigating threats to data Design a strategy to identify and protect sensitive data Specify an encryption standard for data at rest and in motion [-]

Through a combination of presentations, demos, and hands-on labs, participants get an overview of the Google Cloud platform and a detailed view of the data processing and machine learning capabilities. This course showcases the ease, flexibility, and power of big data solutions on Google Cloud Platform. Learning Objectives This course teaches participants the following skills: Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform Use Cloud SQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform Employ BigQuery and Cloud Datalab to carry out interactive data analysis Train and use a neural network using TensorFlow Employ ML APIs Choose between different data processing products on the Google Cloud Platform Course Outline Module 1: Introducing Google Cloud Platform -Google Platform Fundamentals Overview-Google Cloud Platform Big Data Products Module 2: Compute and Storage Fundamentals -CPUs on demand (Compute Engine)-A global filesystem (Cloud Storage)-CloudShell-Lab: Set up an Ingest-Transform-Publish data processing pipeline Module 3: Data Analytics on the Cloud -Stepping-stones to the cloud-CloudSQL: your SQL database on the cloud-Lab: Importing data into CloudSQL and running queries-Spark on Dataproc-Lab: Machine Learning Recommendations with Spark on Dataproc Module 4: Scaling Data Analysis -Fast random access-Datalab-BigQuery-Lab: Build machine learning dataset Module 5: Machine Learning -Machine Learning with TensorFlow-Lab: Carry out ML with TensorFlow-Pre-built models for common needs-Lab: Employ ML APIs Module 6: Data Processing Architectures -Message-oriented architectures with Pub/Sub-Creating pipelines with Dataflow-Reference architecture for real-time and batch data processing Module 7: Summary -Why GCP?-Where to go from here-Additional Resources [-]

Implementing REST Services using Web API [-]

I dette kurset vil Espen Faugstad lære deg hvordan du oppretter, tilpasser og bruker stiler i Adobe InDesign. Dette er teknikker som er velkjente blant profesjonelle InDesign-brukere og kan gjøre deg til en mer effektiv bruker av programmet, samtidig som de sparer deg for verdifull tid. Kurset er delt inn i flere kapitler som dekker ulike aspekter av stilarbeid i InDesign: Kapittel 1: Introduksjon Kapittel 2: Grunnleggende Kapittel 3: Viderekommen Kapittel 4: Avansert Kapittel 5: List styles Kapittel 6: Object styles Kapittel 7: Table styles Kapittel 8: Avslutning I Kapittel 1 lærer du å tilpasse arbeidsområdet i InDesign for optimalt arbeid med stiler. Kapittel 2 gir deg en forståelse av forskjellen mellom "Character Styles" og "Paragraph Styles" samt hvordan du oppretter, tilpasser og bruker tekststiler. I Kapittel 3 lærer du å importere tekststiler fra InDesign-dokumenter og Word-dokumenter, samt hvordan du kopierer tekst og stiler og bruker "Quick Apply". Kapittel 4 tar deg med inn i avanserte tekststiler, inkludert "Nested Stiles," "New Line Style" og "GREP Style." I Kapittel 5 lærer du å arbeide med "List styles," inkludert oppretting av punktliste, nummerliste og flernivåsliste. Kapittel 6 fokuserer på "Object Styles," og Kapittel 7 dekker "Table Styles" og "Cell Styles." Dette kurset gir deg den nødvendige kunnskapen og ferdighetene til å jobbe effektivt med stiler i Adobe InDesign, noe som er avgjørende for å produsere profesjonelt layoutet innhold.   Varighet: 2 timer og 58 minutter   Om Utdannet.no: Utdannet.no tilbyr noen av landets beste digitale nettkurs. Vår tjeneste fungerer på samme måte som strømmetjenester for musikk eller TV-serier, der våre kunder betaler en fast månedspris for tilgang til alle kursene vi har tilgjengelig. Vi har opplevd betydelig vekst de siste årene, med over 30 000 registrerte brukere og 1,5 millioner videoavspillinger. Vårt mål er å gjøre kompetanseutvikling engasjerende, spennende og tilgjengelig for alle, og vi har støtte fra Innovasjon Norge og Forskningsrådet. [-]

Objectives This course teaches participants the following skills: Identify the purpose and value of each of the Google Cloud Platform products and services Interact with Google Cloud Platform services Describe ways in which customers have used Google Cloud Platform Choose among and use application deployment environments on Google Cloud Platform: Google App Engine, Google Kubernetes Engine, and Google Compute Engine Choose among and use Google Cloud Platform storage options: Google Cloud Storage, Google Cloud SQL, Google Cloud Bigtable, and Google Cloud Datastore Make basic use of BigQuery, Google’s managed data warehouse for analytics Make basic use of Cloud Deployment Manager, Google’s tool for creating and managing cloud resources through templates Make basic use of Google Stackdriver, Google’s monitoring, logging, and diagnostics system All courses will be delivered in partnership with ROI Training, Google Cloud Premier Partner, using a Google Authorized Trainer. Course Outline Module 1: Introducing Google Cloud Platform -Explain the advantages of Google Cloud Platform-Define the components of Google's network infrastructure, including: Points of presence, data centers, regions, and zones-Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) Module 2: Getting Started with Google Cloud Platform -Identify the purpose of projects on Google Cloud Platform-Understand the purpose of and use cases for Identity and Access Management-List the methods of interacting with Google Cloud Platform-Lab: Getting Started with Google Cloud Platform Module 3: Virtual Machines and Networks in the Cloud -Identify the purpose of and use cases for Google Compute Engine.-Understand the various Google Cloud Platform networking and operational tools and services.-Lab: Compute Engine Module 4: Storage in the Cloud -Understand the purpose of and use cases for: Google Cloud Storage, Google Cloud SQL, Google Cloud Bigtable, and Google Cloud Datastore.-Learn how to choose between the various storage options on Google Cloud Platform.-Lab: Cloud Storage and Cloud SQL Module 5: Containers in the Cloud -Define the concept of a container and identify uses for containers.-Identify the purpose of and use cases for Google Kubernetes Engine and Kubernetes.-Lab: Kubernetes Engine Module 6: Applications in the Cloud -Understand the purpose of and use cases for Google App Engine.-Contrast the App Engine Standard environment with the App Engine Flexible environment.-Understand the purpose of and use cases for Google Cloud Endpoints.-Lab: App Engine Module 7: Developing, Deploying, and Monitoring in the Cloud -Understand options for software developers to host their source code.-Understand the purpose of template-based creation and management of resources.-Understand the purpose of integrated monitoring, alerting, and debugging.-Lab: Deployment Manager and Stackdriver Module 8: Big Data and Machine Learning in the Cloud -Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms.-Lab: BigQuery [-]

  Studieår: 2013-2014   Gjennomføring: Høst og vår Antall studiepoeng: 5.0 Forutsetninger: IT Introduksjon eller tilsvarende. Innleveringer: Øvinger: 8 må være godkjent.  Personlig veileder: ja Vurderingsform: Skriftlig eksamen, 3 timer Ansvarlig: Tore Mallaug Eksamensdato: 09.12.13 / 08.05.14         Læremål: Etter å ha gjennomført emnet skal studenten ha følgende samlede læringsutbytte: KUNNSKAPER:Kandidaten skal:- kjenne sentrale begreper innen databaser og datamodellering, og kan gjøre rede for disse- forstå hvordan en relasjonsdatabase er bygd opp ved å se på relasjonene (tabellene) og tilhørende nøkler- forstå (tolke) et (E)ER-diagram modellert i fagets gjeldende notasjon, og vite hvordan dette kan oversettes til relasjonsmodellen- gjøre rede for hvordan databaser kan fungere i en klient/tjener-arkitektur. FERDIGHETER:Kandidaten skal kunne:- tegne sitt eget (E)ER-diagram for å oppnå en god databasestruktur- lage sin egen normaliserte relasjonsdatabase med nøkler og referanseintegritet, og opprette databasen i et valgt databaseverktøy (databasesystem)- utføre SQL-spørringer mot en gitt database- lage en relasjonsdatabase som støtter opp om funksjonaliteten til et gitt grafisk brukergrensesnitt GENERELL KOMPETANSEKandidaten- viser en bevisst holdning til strukturell lagring og representasjon av data i et informasjonssystem- viser en bevisst holdning til databasedesign for å unngå unødvendig dobbeltlagring av data i en database Innhold:Innføring i datamodellering med EER og UML-notasjon. Design av relasjonsdatabase inkl. bruk av nøkler, referanseintegritet og enkel normalisering. Databasedefinisjon (DDL) og datamanipulering (DML) i SQL. Bruk av et valgt databaseverktøy (MySQL), se sammenhengen mellom datamodell, databaseverktøy og applikasjon / web-grensesnitt (klient/tjener -arkitektur).Les mer om faget herDemo: Her er en introduksjonsvideo for faget Påmeldingsfrist: 25.08.13 / 25.01.14         Velg semester:  Høst 2013    Vår 2014     Fag Databaser 4980,-         Semesteravgift og eksamenskostnader kommer i tillegg.  [-]

TOGAF® EA Training Foundation [-]

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.   [-]

Mange har blitt mer og mer oppmerksomme på de rettighetene de har når det kommer til hvordan opplysninger om dem behandles. Enten du er ansatt, kunde, pasient eller en som surfer på internett, så ønsker du at dine personopplysninger skal bli behandlet med respekt og fortrolighet. Datatilsynet har sett at det å ha en person med kunnskap om og fokus på personvern i en virksomhet kan gjøre en stor forskjell. Våre instruktører har mange års erfaring innen databehandling og it-systemer sin håndtering av personopplysninger. Kurset vil derfor gi deg innsikt i hvordan personopplysningsloven med GDPR får en praktisk anvendelse i din virksomhet. Lover og regler blir grundig forklart og eksemplifisert. Det blir oppgaveløsning med praktiske caser og faktiske hendelser, for eksempel lovlig bruk av samtykke, brudd på personopplysningssikkerheten, mv. Følgende emner blir blant annet gjennomgått:– Saklig og geografisk virkeområde for GDPR– Forskjellen på behandlingsansvarlig og databehandler– De grunnleggende prinsippene som loven bygger på– Lovlige hjemler som behandlingsgrunnlag– Respekt for personers rettigheter– Vurdering av personvernkonsekvenser (DPIA)– Utarbeidelse av behandlingsprotokoll– Krav til databehandleravtaler– Personvernombudets oppgaver– Personopplysningssikkerheten og risikovurdering – Overføring av data (utenfor EU/EØS) [-]

Dette kurset er innrettet mot dem som jobber med økonomisk oppfølging i bedriften. Vi går inn på prosessene fra innhenting av data, bearbeidelse av dataene, sammendrag og analyse av dataene, og til sist rapportering av dataene til bedriftens beslutningstagere. Vi bruker en god del tid på Pivot og Power Pivot her, men vi går ikke fullt så langt som i spesialkurset om Pivottabeller. Kurset forutsetter at man er godt kjent i Excel, og vant til å jobbe med litt kompliserte problemstillinger i Excel. Kontroll/gjennomgang av en del sentral funksjonalitet – bl.a. absolutte, relative og blandede referanser. Sammendrag av data fra flere ark i samme eller flere arbeidsbøker, bl.a. gjennomgående summering og tabulering v.hj.a. INDIREKTE-funksjonen. Betingende sammendrag v.hj.a. matriseformler og funksjoner Sentrale funksjoner, bl.a. HVIS, HVISFEIL, FINN.RAD, FINN.KOLONNE, ANTALL.HVIS, etc. Sammendrag av data med Pivottabell Power Pivot Formler Rapportering av data Statiske rapporter Rapporter med interaktivitet, forskjellige teknikker Visualisering av tallene Dashboard Aktuelle teknikker for å lage dashboards Avstemming av to eller flere lister mot hverandre, f.ex. bank Lister – verktøy i Excel som er aktuelle når vi jobber med lister Makroer/VBA – introduksjon til automatisering [-]

TOGAF® EA Course Combined [-]