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Jeison Cardoso
Mitglied seit 2021
Bronze League
1000 Punkte
Serverless Web Apps using Amazon DynamoDB
Earned Jan 19, 2022 EST
Managing Cloud Infrastructure with Terraform
Earned Dez 20, 2021 EST
Security on AWS
Earned Nov 30, 2021 EST
Databases on AWS for Windows
Earned Nov 23, 2021 EST
SysAdmin on AWS for Windows
Earned Nov 23, 2021 EST
Compute & Networking
Earned Nov 21, 2021 EST
Deployment & Management
Earned Nov 21, 2021 EST
Programming Windows on AWS
Earned Nov 15, 2021 EST
Corporate Apps on AWS for Windows
Earned Nov 15, 2021 EST
Daten für ML-APIs in Google Cloud vorbereiten
Earned Nov 14, 2021 EST
Serverless architectures allow you to build and run applications and services without needing to provision, manage, and scale infrastructure. This quest will show how to design, build, and deploy interactive serverless web applications, using a simple HTML/JavaScript web interface which uses Amazon API Gateway calls to send requests to AWS Lambda backends that query Amazon DynamoDB data.
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In this Quest, the experienced user of Google Cloud will learn how to describe and launch cloud resources with Terraform, an open source tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned. In these nine hands-on labs, you will work with example templates and understand how to launch a range of configurations, from simple servers, through full load-balanced applications.
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This quest is designed to teach you how to apply AWS Identity and Access Management, in concert with several other AWS Services, to address real-world application and service security management scenarios.
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Learn how to deploy and administer databases running on Microsoft Windows Server in Amazon EC2 and Amazon RDS.
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Learn how to use system administration tools in the AWS cloud, including PowerShell, Storage Spaces and Microsoft System Center.
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In this quest, you’ll learn to work with services related to Compute and Networking, including Amazon EC2, Amazon Elastic Load Balancing, and Amazon Virtual Private Cloud (VPC).
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In this quest, you’ll learn to work with services related to Deployment and Management, including AWS Identity and Access Management (IAM), AWS Elastic Beanstalk, AWS CloudFormation, and AWS OpsWorks.
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Learn how to develop applications in Microsoft Visual Studio leveraging AWS services.
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Learn how to deploy Microsoft Windows Server-based applications in the AWS cloud, including Microsoft Exchange, Dynamics CRM and SharePoint.
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Mit dem Skill-Logo zum Kurs Daten für ML-APIs in Google Cloud vorbereiten weisen Sie Grundkenntnisse in folgenden Bereichen nach: Bereinigen von Daten mit Dataprep von Trifacta, Ausführen von Datenpipelines in Dataflow, Erstellen von Clustern und Ausführen von Apache Spark-Jobs in Managed Service for Apache Spark sowie Aufrufen von ML-APIs, einschließlich der Cloud Natural Language API, Cloud Speech-to-Text API und Video Intelligence API.
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