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Sebastián Osorio

Mitglied seit 2022

Silver League

8410 Punkte
DEPRECATED Build Google Cloud Infrastructure for Azure Professionals Earned Jun 7, 2024 EDT
Google Cloud Storage and Containers for Azure Professionals Earned Jun 6, 2024 EDT
Deploy and Monitor in Google Cloud for Azure Professionals Earned Jun 6, 2024 EDT
Google Cloud Compute and Scalability for Azure Professionals Earned Jun 6, 2024 EDT
Google Cloud IAM and Networking for Azure Professionals Earned Jun 6, 2024 EDT
Google Cloud-Netzwerk entwickeln Earned Okt 9, 2022 EDT
Cloud Load Balancing in der Compute Engine implementieren Earned Okt 9, 2022 EDT
Umgebung für die Anwendungsentwicklung in Google Cloud einrichten Earned Okt 8, 2022 EDT

Earn a skill badge by completing the Build Google Cloud Infrastructure for Azure Professionals course, where you learn how to configure IAM permission, orchestrate workloads using Kubernetes, host a web application using compute engine, and configure load balancing. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this Skill Badge, and the final assessment challenge lab, to receive a digital badge that you can share with your network.

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This is the third course of a four-course series for cloud architects and engineers with existing Azure knowledge. It compares Google Cloud and Azure solutions and guides professionals on their use. This course focuses on storage options and containers in Google Cloud. The learners apply the knowledge of storage and containers in Azure to explore how they differ from Google Cloud. Learners get hands-on practice building and managing Google Cloud resources.

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This is the fourth course of a four-course series for cloud architects and engineers with existing Azure knowledge. It compares Google Cloud and Azure solutions and guides professionals on their use. This course focuses on deploying and monitoring applications in Google Cloud. The learners apply the knowledge of monitoring and application deployment process in Azure to explore the differences with Google Cloud. Learners get hands-on practice building and managing Google Cloud resources.

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This is the second course of a four-course series for cloud architects and engineers with existing Azure knowledge. It aims to compare Google Cloud and Azure solutions and guide professionals on their use. This course focuses on compute resources and load balancing in Google Cloud. The learner will apply the knowledge of using virtual machines and load balancers in Azure to explore the similarities and differences with configuring and managing compute resources and load balancers in Google Cloud. Learners will get hands-on practice building and managing Google Cloud resources.

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This is the first course of a four-course series for cloud architects and engineers with existing Azure knowledge, and it compares Google Cloud and Azure solutions and guides professionals on their use. This course focuses on Identity and Access Management (IAM) and networking in Google Cloud. The learners apply the knowledge of access management and networking in Azure to explore the similarities and differences with access management and networking in Google Cloud. Learners get hands-on practice building and managing Google Cloud resources.

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Erhalten Sie ein Skill-Logo, indem Sie den Kurs Google Cloud-Netzwerk entwickeln abschließen. Dabei wird anhand verschiedener Aufgaben behandelt, wie Sie Anwendungen bereitstellen und beobachten, darunter: IAM-Rollen prüfen, den Zugriff auf Projekte ermöglichen/entfernen, VPC-Netzwerke erstellen, Compute Engine-VMs bereitstellen und beobachten, SQL-Abfragen schreiben, VMs in der Compute Engine bereitstellen und beobachten sowie Anwendungen mithilfe von Kubernetes und mehreren Deploymentmodellen bereitstellen.

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Mit dem Skill-Logo zum Kurs Cloud Load Balancing in der Compute Engine implementieren weisen Sie Kenntnisse in folgenden Bereichen nach: virtuelle Maschinen in der Compute Engine erstellen und bereitstellen und Netzwerk- und Application Load Balancer konfigurieren.

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Erhalten Sie ein Skill-Logo, indem Sie den Kurs „Umgebung für die Anwendungsentwicklung in Google Cloud einrichten“ abschließen. Dabei lernen Sie, wie Sie eine speicherorientierte Cloud-Infrastruktur mithilfe der grundlegenden Funktionen der folgenden Technologien erstellen und verbinden: Cloud Storage, Identity and Access Management, Cloud Functions und Pub/Sub.

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