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Penke Jhansi

Member since 2024

Bronze League

10579 points
Build Global and Regional Load Balancing Solutions Earned Jun 30, 2026 EDT
Arcade Base Camp June 2026 Earned Jun 30, 2026 EDT
在 Compute Engine 導入 Cloud Load Balancing Earned Jun 29, 2026 EDT
在 Google Cloud 實作 Sensitive Data Protection Earned Jun 29, 2026 EDT
Arcade Trail: Data Engineering and Information Protection Earned Jun 29, 2026 EDT
在 Google Cloud 為機器學習 API 準備資料 Earned Jun 29, 2026 EDT
透過 Google Cloud Observability 監控及記錄系統狀態 Earned Jun 28, 2026 EDT
Arcade Adventure: App Dev and Cloud Observability Earned Jun 28, 2026 EDT
在 Google Cloud 設定應用程式開發環境 Earned Jun 27, 2026 EDT
使用預訓練 API 實現語音和語言解決方案 Earned Jun 27, 2026 EDT
Arcade Voyage: Identity Management and Pre-trained AI APIs Earned Jun 27, 2026 EDT
為 Google Cloud 設定服務帳戶和 IAM 角色 Earned Jun 26, 2026 EDT
在 Looker 建構 LookML 物件 Earned Jun 23, 2026 EDT
Logic Log Earned Jun 23, 2026 EDT
Looker 資料模型管理 Earned Jun 22, 2026 EDT
使用 Apps Script 整合 BigQuery 資料與 Google Workspace Earned Jun 19, 2026 EDT
Work Meets Play: Cloud Canvas Earned Jun 19, 2026 EDT
實現雲端協作與生產力工作流 Earned Jun 5, 2026 EDT
建立 Google Cloud 網路 Earned May 30, 2026 EDT
在 Google Cloud 部署 Kubernetes 應用程式 Earned May 30, 2026 EDT
Work Meets Play: Expressive Efficiency Earned May 30, 2026 EDT
在 Google Cloud 實作 DevOps 工作流程 Earned May 30, 2026 EDT
在 Google Cloud 實作 Cloud 安全防護措施:基礎知識 Earned May 30, 2026 EDT
Arcade Trail: Cloud Security and DevOps Foundations Earned May 30, 2026 EDT
Google Cloud Compute 基本操作 Earned May 29, 2026 EDT
Arcade Base Camp May 2026 Earned May 29, 2026 EDT
透過 Google Cloud 建構網站 Earned May 27, 2026 EDT
在 Google App Engine 上部署及管理應用程式 Earned May 27, 2026 EDT
Arcade Adventure: Modern App Deployment Earned May 27, 2026 EDT
使用 Firebase 開發無伺服器應用程式 Earned May 18, 2026 EDT
使用 Knowledge Catalog 建構資料網格 Earned May 18, 2026 EDT
Arcade Voyage: Data Governance and Firebase Foundations Earned May 18, 2026 EDT
在 Google Cloud 使用機器學習 API Earned May 9, 2026 EDT
設定 Google Cloud 網路 Earned May 8, 2026 EDT
Skill Up Summer Earned May 8, 2026 EDT
綜合應用:為 Cloud 資料分析師工作做準備 Earned Oct 29, 2025 EDT
資料敘事的強大力量:如何在 Cloud 以圖表呈現資料 Earned Oct 28, 2025 EDT
在 Cloud 管理與儲存資料 Earned Oct 28, 2025 EDT
在 Cloud 轉換資料 Earned Oct 19, 2025 EDT
Google Cloud 資料分析功能簡介 Earned Oct 18, 2025 EDT

Complete the intermediate Build Global and Regional Load Balancing Solutions skill badge course to demonstrate skills in the following: deploy and utilize an internal client VM within the same VPC network and test traffic distribution, backend infrastructure suitable for a global external application Load Balancer, and backend VM instances and load balancer components using startup scripts and network tags to host a web application service.

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Welcome to Base Camp, where you’ll develop key Google Cloud skills (available in Spanish and Portuguese too!) and earn an exclusive credential that will open doors to the cloud for you. No prior experience is required!

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完成「在 Compute Engine 導入 Cloud Load Balancing」技能徽章入門課程,即可證明您具備下列技能: 在 Compute Engine 建立及部署虛擬機器, 以及設定網路和應用程式負載平衡器。

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完成 在 Google Cloud 實作 Sensitive Data Protection 技能徽章入門課程,證明您具備下列技能:使用 Sensitive Data Protection 服務 (包括 Cloud Data Loss Prevention API) 來檢查、遮蓋及去識別化 Google Cloud 中的機密資料。

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Raw data is only useful if it is clean, structured, and secure. In this track, you’ll start by processing and preparing data using Dataprep, Dataflow templates, and Apache Spark. You'll learn how to clean up datasets so they are ready for machine learning models. From there, you'll focus on security by working with tools that find and mask sensitive information like personal IDs and credentials. You'll practice redacting critical details and creating safe, de-identified copies of your data in Cloud Storage. By finishing the hands-on challenge labs, you’ll show you can handle big data workflows while keeping confidential information completely safe.

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完成 在 Google Cloud 為機器學習 API 準備資料 技能徽章入門課程,即可證明您具備下列技能: 使用 Dataprep by Trifacta 清理資料、在 Dataflow 執行資料管道、在 Managed Service for Apache Spark 建立叢集和執行 Apache Spark 工作,以及呼叫機器學習 API,包含 Cloud Natural Language API、Google Cloud Speech-to-Text API 和 Video Intelligence API。

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完成 透過 Google Cloud Observability 監控及記錄系統狀態 技能徽章入門課程, 即可證明您具備下列技能:監控 Compute Engine 中的虛擬機器、 運用 Cloud Monitoring 監管多項專案、在 Cloud Functions 延伸應用監控和記錄功能、 建立和傳送自訂應用程式指標,以及根據自訂指標設定 Cloud Monitoring 快訊。

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Writing code is just the first step; you also need to know how to deploy it smoothly and keep it running at its best. In this adventure, you’ll get started with serverless setups by running code on Cloud Run Functions and connecting your services using Google Cloud Pub/Sub. From there, you'll work on the operations side—building out clean development environments, keeping tabs on multiple projects at once, and setting up smart alerts so you can spot and fix issues early. With a couple of challenge labs thrown into the mix, you’ll walk away with the skills needed to build, monitor, and scale apps on Google Cloud.

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只要修完「在 Google Cloud 設定應用程式開發環境」課程,就能獲得技能徽章。 在本課程中,您將學會如何使用以下技術的基本功能,建構和連結以儲存空間為中心的雲端基礎架構:Cloud Storage、Identity and Access Management、Cloud Functions 和 Pub/Sub。

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完成使用預訓練 API 實現語音和語言解決方案課程以獲得技能徽章,了解如何使用與語音相關的 API 工具來合成和轉錄語音。

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Keeping your cloud resources secure and making your apps smarter are two essential skills for any cloud developer. In this voyage, you’ll start with the security fundamentals, learning how to configure service accounts, manage IAM permissions using gcloud, and set up custom roles. Once you've secured your environment, you'll work with Google Cloud's pre-trained AI tools—converting text to synthetic speech, translating languages on the fly, and transcribing audio files into text. Complete with two practical challenge labs to test your skills, you'll walk away knowing how to safely manage access to your cloud project while adding powerful language and speech features to your applications.

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完成「為 Google Cloud 設定服務帳戶和 IAM 角色」課程,即可獲得入門級技能徽章。這門課程會介紹服務帳戶、自訂角色,以及如何使用 gcloud 設定權限。

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完成「在 Looker 建構 LookML 物件」技能徽章入門課程, 即可證明您具備下列技能: 建立新的維度和測量指標、檢視畫面和衍生資料表;根據需求設定測量指標篩選器和類型; 更新維度和測量指標; 建構及調整「探索」;將檢視表彙整至現有「探索」;以及配合業務需求決定要建立哪些 LookML 物件。

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Building a reliable platform for data analysis requires structured data modeling and clean, maintainable code. In this challenge, you’ll start with the building blocks of LookML, creating custom dimensions, measures, and derived tables to shape your data exactly how you need it. From there, you'll work on making your platform faster and easier to use by setting up caching, defining datagroups, and modularizing your code using extends. By following these development best practices, you'll walk away knowing how to build efficient, scalable data models that your team can easily rely on.

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完成 Looker 資料模型管理技能徽章中階課程,即可證明您具備下列技能:維護 LookML 專案的健全性、運用 SQL Runner 驗證資料、採用 LookML 最佳做法、改良查詢及 報表,並執行永久衍生資料表和快取政策。

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完成「使用 Apps Script 整合 BigQuery 資料與 Google Workspace」技能徽章入門課程,即可證明您瞭解如何透過 AppSheet 將 Workspace 產品連結至 BigQuery。

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Great ideas come to life when creativity meets the right tools. Inspired by how Adobe connects its creative universe with Google Workspace to boost collaboration, this challenge shows you how to build seamless, efficient workflows. You’ll start with the basics of setting up shared spaces in Google Drive, managing communications in Gmail, and building no-code apps with AppSheet. From there, you'll connect your workspace to powerful data tools—using Apps Script to automate tasks across Sheets and Maps, analyzing massive datasets with Connected Sheets, and sending that data directly into slide presentations. By the end, you'll know how to bridge the gap between data and design to keep your projects running smoothly.

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完成「實現雲端協作與生產力工作流」課程,即可獲得入門級技能徽章。本課程將介紹 Google 的協作平台, 帶您瞭解如何使用 Gmail、日曆、Meet、雲端硬碟、試算表和 AppSheet。

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完成 建立 Google Cloud 網路 課程即可獲得技能徽章。這個課程將說明 部署及監控應用程式的多種方法,包括查看 IAM 角色及新增/移除 專案存取權、建立虛擬私有雲網路、部署及監控 Compute Engine VM、編寫 SQL 查詢、在 Compute Engine 部署及監控 VM,以及 使用 Kubernetes 透過多種方法部署應用程式。

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完成 在 Google Cloud 部署 Kubernetes 應用程式 技能徽章中階課程,即可證明您具備下列技能: 設定及建構 Docker 容器映像檔、建立及管理 Google Kubernetes Engine (GKE) 叢集、運用 kubectl 有效 管理叢集,以及運用強大的持續推送軟體更新做法來部署 Kubernetes 應用程式。

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As platforms grow, maintaining speed, reliability, and seamless user experiences becomes critical. Inspired by Bobble AI and its journey to support millions of real-time interactions, this challenge explores how cloud-native systems are designed for efficiency at scale. You’ll work with Docker and Kubernetes to run and orchestrate applications, while also using IAM, Cloud Storage, and Monitoring to manage access, data, and performance. The result: a clearer view of how the right mix of containers, automation, and observability keeps modern applications fast, resilient, and efficient.

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完成 在 Google Cloud 實作 DevOps 工作流程 技能徽章中階課程, 即可證明您具備下列技能:建立與管理 Git 存放區、 在 Google Kubernetes Engine (GKE) 發布、管理和調度 Deployment, 以及建立 CI/CD 管道,自動建構容器映像檔與執行 GKE 部署作業。

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完成 在 Google Cloud 實作 Cloud 安全防護措施:基礎知識 技能徽章中階課程, 即可證明您具備下列技能:運用 Identity and Access Management (IAM) 建立及指派角色、 建立及管理服務帳戶、啟用虛擬私有雲 (VPC) 網路中的私人連線、 運用 Identity-Aware Proxy 限制應用程式存取權、 運用 Cloud Key Management Service (KMS) 管理金鑰和已加密資料,以及建立私人 Kubernetes 叢集。

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Securing applications and streamlining delivery go hand in hand in modern cloud environments. In this trail, you’ll work with tools like Cloud KMS, Identity-Aware Proxy, and service accounts to manage access and protect resources. You’ll also explore private Kubernetes clusters, artifact management, and build CI/CD pipelines with Cloud Build—bringing together the essentials of cloud security and DevOps in practice.

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完成「Google Cloud Compute 基本操作」任務, 學習如何在 Compute Engine 中使用虛擬機器 (VM)、永久磁碟 和網路伺服器,即可獲得技能徽章。

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Welcome to Base Camp, where you’ll develop key Google Cloud skills (available in Spanish and Portuguese too!) and earn an exclusive credential that will open doors to the cloud for you. No prior experience is required!

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完成透過 Google Cloud 建構網站技能徽章課程,即可獲得入門級技能徽章。 本課程以 Get Cooking in Cloud 系列影片為基礎, 涵蓋以下主題:在 Cloud Run 部署網站在 Compute Engine 託管網頁應用程式在 Google Kubernetes Engine 建立、 部署及擴充網站使用 Cloud Build 將單體式應用程式遷移至微服務架構

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完成「在 Google App Engine 上部署及管理應用程式」課程,即可獲得技能徽章。本課程將說明如何搭配 Python、Go 和 PHP 使用 App Engine。

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Building and running applications on Google Cloud can take many forms—and this adventure brings them together. Get hands-on with App Engine, Cloud Run, Kubernetes Engine, and Compute Engine as you deploy applications, manage scaling, and explore modern architectures, including the shift from monolithic to microservices.

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完成 使用 Firebase 開發無伺服器應用程式 技能徽章中階課程, 即可證明您具備下列技能:使用 Firebase 架構及建構無伺服器的網頁應用程式、 運用 Firestore 管理資料庫、使用 Cloud Build 自動部署內容, 以及將 Google 助理功能整合至應用程式。

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完成「使用 Knowledge Catalog 建構資料網格」技能徽章入門課程,即可證明您具備下列技能:使用 Knowledge Catalog 建構資料網格, 以利在 Google Cloud 維護資料安全性,並協助治理和探索資料。您將練習並測試自己的技能,包括在 Knowledge Catalog 為資產加上標記、指派 IAM 角色,以及評估資料品質。

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Working with data and applications requires the right balance of governance and agility. In this voyage, you’ll use Dataplex to organize, secure, and assess data quality while exploring concepts like data mesh. Alongside, you’ll get hands-on with Firebase—building serverless apps, working with Firestore, and managing data in real time—bringing together modern data management and application development.

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完成「在 Google Cloud 使用機器學習 API」課程,即可獲得進階技能徽章。本課程說明以下機器學習和 AI 技術的基本功能: Cloud Vision API、Cloud Translation API 和 Cloud Natural Language API。

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完成「設定 Google Cloud 網路」課程,即可獲得技能徽章。 您將瞭解如何在 Google Cloud Platform 執行基本的網路工作,包括建立自訂網路、新增子網路防火牆規則,還有建立 VM 並測試 VM 之間的通訊延遲。

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A season to build, experiment, and grow—one skill at a time. You’ll start with the fundamentals of networking, creating the foundation that connects everything together. From there, you’ll step into automation and application development using Cloud Scheduler, App Engine, and machine learning APIs. By the end, you’ll have a more confident, hands-on understanding of how modern applications are built, connected, and run on the cloud.

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這是 Google Cloud Data Analytics 專業證書五堂課程中的第五堂。在本課程中,您將結合第一到第四堂課程的基礎知識和技能,並活用所學,透過專題實作呈現完整的資料生命週期。您將練習使用雲端式工具,有效率地取得、儲存、處理、分析資料,並以圖表呈現及傳達資料洞察結果。本課程結束後,您將完成一項專案,證明自己精通於有效整理多個來源的資料、向不同相關人士說明解決方案,以及運用雲端式軟體將資料洞察結果以圖表呈現。此外,您還會更新履歷,並練習面試技巧,為應徵和面試做好準備。

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這是 Google Cloud Data Analytics 專業證書五堂課程中的第四堂。本課程著重於培養雲端資料圖表製作的技能,共分五個主要階段:敘事、規劃、探索資料、建立圖表,以及與他人分享資料。您還會實際使用 UI/UX 技能,繪製具說服力的雲端原生圖表線框稿,並運用雲端原生資料圖表工具探索資料集、建立報表和資訊主頁,推動決策並促進協作。

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這是 Google Cloud 資料分析專業證書五堂課程中的第二堂。本課程將帶您瞭解資料的結構化和組織方式。您將透過實作,瞭解資料湖倉架構和 BigQuery、Google Cloud Storage 與 DataProc 等雲端元件,有效率地儲存、分析及處理大型資料集。

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Google Cloud 資料分析專業證書課程共有五堂課程,這是第三堂。本課程會先簡要說明資料歷程,從最初的資料收集,一直到最後的洞察分析。接著,您將依序學習如何使用 SQL 將原始資料轉換為可用的格式、怎麼透過資料管道轉換大量資料。最後,您將練習如何將轉換策略應用於實際資料集,滿足業務需求。

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這是 Google Cloud 資料分析專業證書五堂課程中的第一堂。在本課程中,您將瞭解雲端資料分析領域的定義,並說明雲端資料分析師在資料擷取、儲存、處理和視覺化方面的角色與職責。您將瞭解 BigQuery 和 Cloud Storage 等 Google Cloud 工具的架構,以及如何運用這些工具有效組織、呈現及彙整資料。

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