Rejoindre Se connecter

Juan Luis Rodriguez Cardenas

Date d'abonnement : 2023

Ligue d'Argent

4789 points
Build a Certification Study Guide: PCA Exam Prep Earned sept. 26, 2026 EDT
Set Up an App Dev Environment on Google Cloud Earned sept. 6, 2025 EDT
Google Cloud Fundamentals: Core Infrastructure Earned août 23, 2025 EDT
Implementing Cloud Load Balancing for Compute Engine Earned juil. 21, 2025 EDT
DEPRECATED BigQuery Basics for Data Analysts Earned avr. 6, 2023 EDT

Learn how to use Gemini Notebook to create a personalized study guide for the Professional Cloud Architect certification exam. You'll review Gemini Notebook features, create a notebook in Gemini Notebook, and learn how to use a study guide to practice for a certification exam.

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Earn a skill badge by completing the Set Up an App Dev Environment on Google Cloud skill badge course, where you learn how to build and connect storage-centric cloud infrastructure using the basic capabilities of the following technologies: Cloud Storage, Identity and Access Management, Cloud Functions, and Pub/Sub.

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Google Cloud Fundamentals: Core Infrastructure introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.

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Complete the introductory Implementing Cloud Load Balancing for Compute Engine skill badge to demonstrate skills in the following: creating and deploying virtual machines in Compute Engine and configuring network and application load balancers.

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Want to scale your data analysis efforts without managing database hardware? Learn the best practices for querying and getting insights from your data warehouse with this interactive series of BigQuery labs. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.

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