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LS Koh

회원 가입일: 2020

실버 리그

11000포인트
Build a Data Warehouse with BigQuery 배지 Build a Data Warehouse with BigQuery Earned 4월 16, 2022 EDT
Getting Started with Go on Google Cloud 배지 Getting Started with Go on Google Cloud Earned 4월 4, 2021 EDT
Implement DevOps Workflows in Google Cloud 배지 Implement DevOps Workflows in Google Cloud Earned 4월 3, 2021 EDT
Build a Website on Google Cloud 배지 Build a Website on Google Cloud Earned 4월 3, 2021 EDT
Develop Serverless Apps with Firebase 배지 Develop Serverless Apps with Firebase Earned 4월 3, 2021 EDT
Optimize Costs for Google Kubernetes Engine 배지 Optimize Costs for Google Kubernetes Engine Earned 4월 3, 2021 EDT
Monitor and Log with Google Cloud Observability 배지 Monitor and Log with Google Cloud Observability Earned 4월 2, 2021 EDT
Deploy to Kubernetes in Google Cloud 배지 Deploy to Kubernetes in Google Cloud Earned 4월 1, 2021 EDT
Build a Secure Google Cloud Network 배지 Build a Secure Google Cloud Network Earned 3월 31, 2021 EDT
Set up and Configure a Cloud Environment in Google Cloud 배지 Set up and Configure a Cloud Environment in Google Cloud Earned 3월 30, 2021 EDT
Perform Foundational Infrastructure Tasks in Google Cloud 배지 Perform Foundational Infrastructure Tasks in Google Cloud Earned 3월 30, 2021 EDT
Implement Cloud Security Fundamentals on Google Cloud 배지 Implement Cloud Security Fundamentals on Google Cloud Earned 3월 30, 2021 EDT
Implement Load Balancing on Compute Engine 배지 Implement Load Balancing on Compute Engine Earned 3월 30, 2021 EDT
Derive Insights from BigQuery Data 배지 Derive Insights from BigQuery Data Earned 10월 11, 2020 EDT
Data Catalog Fundamentals 배지 Data Catalog Fundamentals Earned 10월 10, 2020 EDT
Perform Foundational Data, ML, and AI Tasks in Google Cloud 배지 Perform Foundational Data, ML, and AI Tasks in Google Cloud Earned 10월 10, 2020 EDT
BigQuery for Data Warehousing 배지 BigQuery for Data Warehousing Earned 10월 10, 2020 EDT
Use Machine Learning APIs on Google Cloud 배지 Use Machine Learning APIs on Google Cloud Earned 10월 10, 2020 EDT
BigQuery for Machine Learning 배지 BigQuery for Machine Learning Earned 10월 10, 2020 EDT
Advanced ML: ML Infrastructure 배지 Advanced ML: ML Infrastructure Earned 10월 10, 2020 EDT
DEPRECATED Explore Machine Learning Models with Explainable AI 배지 DEPRECATED Explore Machine Learning Models with Explainable AI Earned 10월 9, 2020 EDT
Google Cloud Solutions II: Data and Machine Learning 배지 Google Cloud Solutions II: Data and Machine Learning Earned 10월 9, 2020 EDT
Intermediate ML: TensorFlow on Google Cloud 배지 Intermediate ML: TensorFlow on Google Cloud Earned 10월 9, 2020 EDT
Intro to ML: Language Processing 배지 Intro to ML: Language Processing Earned 10월 9, 2020 EDT
Intro to ML: Image Processing 배지 Intro to ML: Image Processing Earned 10월 9, 2020 EDT

Complete the intermediate Build a Data Warehouse with BigQuery skill badge to demonstrate skills in the following: joining data to create new tables, troubleshooting joins, appending data with unions, creating date-partitioned tables, and working with JSON, arrays, and structs in BigQuery. 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 the skill badge course, and final assessment challenge lab, to receive a digital badge that you can share with your network. For practice with BigQuery fundamentals (including working with the console and command line), complete the course titled BigQuery Basics for Data Analysts.

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Get started with Go (Golang) by reviewing Go code, and then creating and deploying simple Go apps on Google Cloud. Go is an open source programming language that makes it easy to build fast, reliable, and efficient software at scale. Go runs native on Google Cloud, and is fully supported on Google Kubernetes Engine, Compute Engine, App Engine, Cloud Run, and Cloud Functions. Go is a compiled language and is faster and more efficient than interpreted languages. As a result, Go requires no installed runtime like Node, Python, or JDK to execute.

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Complete the intermediate Implement DevOps Workflows in Google Cloud skill badge to demonstrate skills in the following: creating git repositories with Cloud Source Repositories, launching, managing, and scaling deployments on Google Kubernetes Engine (GKE), and architecting CI/CD pipelines that automate container image builds and deployments to GKE. 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 course and the final assessment challenge lab to receive a skill badge that you can share with your network.

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Earn the introductory skill badge by completing the Build a Website on Google Cloud course. This course is based on the series Get Cooking in Cloud, where you learn how to: Deploy a website on Cloud Run; Host a web app on Compute Engine; Create, deploy, and scale your website on Google Kubernetes Engine; Migrate from a monolithic application to a microservices architecture using Cloud Build. 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 the skill badge, and final assessment challenge lab, to receive a digital badge that you can share with your network.

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Complete the intermediate Develop Serverless Apps with Firebase skill badge to demonstrate skills in the following: architecting and building serverless web applications with Firebase, utilizing Firestore for database management, automating deployment processes using Cloud Build, and integrating Google Assistant functionality into your applications. 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 course and the final assessment challenge lab to receive a skill badge that you can share with your network.

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Complete the intermediate Optimize Costs for Google Kubernetes Engine skill badge to demonstrate skills in the following: creating and managing multi-tenant clusters, monitoring resource usage by namespace, configuring cluster and pod autoscaling for efficiency, setting up load balancing for optimal resource distribution, and implementing liveness and readiness probes to ensure application health and cost-effectiveness. 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 course and the final assessment challenge lab to receive a skill badge that you can share with your network.

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Complete the introductory Monitor and Log with Google Cloud Observability skill badge to demonstrate skills in the following: monitoring virtual machines in Compute Engine, utilizing Cloud Monitoring for multi-project oversight, extending monitoring and logging capabilities to Cloud Functions, creating and sending custom application metrics, and configuring Cloud Monitoring alerts based on custom metrics. 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 course and the final assessment challenge lab to receive a skill badge that you can share with your network.

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Kubernetes는 가장 인기 있는 컨테이너 조정 시스템이며, Google Kubernetes 엔진은 특히 Google Cloud에서 관리 Kubernetes 배포를 지원할 수 있게 설계되었습니다. 이 고급 수준 퀘스트에서는 Docker 이미지, 컨테이너를 구성하고 완전한 Kubernetes 엔진 애플리케이션을 실제로 배포하는 연습을 하게 됩니다. 이 퀘스트를 통해 자체 워크플로에 컨테이너 조정을 통합할 때 필요한 실용적인 기술을 익힐 수 있습니다. 마지막에 제시되는 챌린지 실습을 포함해 이 퀘스트를 완료하면 특별한 Google Cloud 디지털 배지가 주어집니다. 챌린지 실습에서는 명확한 단계별 안내가 제공되지 않습니다. 대신 최소한으로 주어진 안내를 길잡이로 삼아 솔루션을 개발해야 합니다. Google Cloud 기술에 관한 여러분의 실력을 시험해 보세요.

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Earn a skill badge by completing the Build and Secure Networks in Google Cloud course, where you will learn about multiple networking-related resources to build, scale, and secure your applications on Google Cloud. 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 the skill badge, and final assessment challenge lab, to receive a digital badge that you can share with your network.

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이 기본 수준의 퀘스트는 다른 Qwiklab 퀘스트 중에서도 특별합니다. IT 전문가가 Google Cloud 공인 어소시에이트 클라우드 엔지니어 자격증에 나오는 주제 및 서비스를 직접 실습해 볼 수 있도록 선별된 실습이 제공됩니다. 이 퀘스트는 IAM, 네트워킹, Kubernetes 엔진 배포 등 Google Cloud에 관한 지식을 시험하기 위한 실습으로 구성되어 있습니다. 마지막에 제시되는 챌린지 실습을 포함해 이 퀘스트를 완료하면 특별한 Google Cloud 디지털 배지가 주어집니다. 실습을 통한 연습으로 기술과 능력이 증진되겠지만, 시험 가이드 및 제공되는 다른 준비용 리소스도 검토하는 것이 좋습니다.

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‘시작하기 - 클라우드 리소스 만들기 및 관리하기’ 후에 완료할 실습을 찾고 있는 초보 클라우드 개발자라면 이 퀘스트가 안성맞춤입니다. Cloud Storage 및 Stackdriver와 Cloud Functions와 같은 핵심 애플리케이션 서비스를 자세히 살펴보는 실습을 통해 실무 경험을 쌓게 됩니다. 이 퀘스트를 완료하고 나면 어떤 Google Cloud 이니셔티브에도 적용할 수 있는 유용한 기술을 얻을 수 있습니다. 마지막에 제시되는 챌린지 실습을 포함해 이 퀘스트를 완료하면 특별한 Google Cloud 디지털 배지가 주어집니다. 1분 정도의 동영상을 통해 실습의 주요 개념을 알아볼 수 있습니다.

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Complete the intermediate Implement Cloud Security Fundamentals on Google Cloud skill badge to demonstrate skills in the following: creating and assigning roles with Identity and Access Management (IAM); creating and managing service accounts; enabling private connectivity across virtual private cloud (VPC) networks; restricting application access using Identity-Aware Proxy; managing keys and encrypted data using Cloud Key Management Service (KMS); and creating a private Kubernetes cluster. 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 the skill badge course, and final assessment challenge lab, to receive a digital badge that you can share with your network.

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Complete the introductory Implement Load Balancing on Compute Engine skill badge to demonstrate skills in the following: writing gcloud commands and using Cloud Shell, creating and deploying virtual machines in Compute Engine, and configuring network and HTTP load balancers. 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 skill badge that you can share with your network.

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Complete the introductory Derive Insights from BigQuery Data skill badge to demonstrate skills in the following: write SQL queries, query public tables, load sample data into BigQuery, troubleshoot common syntax errors with the query validator in BigQuery, and create reports in Looker Studio by connecting to BigQuery data. 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 course, and the final assessment challenge lab, to receive a skill badge that you can share with your network.

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Data Catalog is a fully managed and scalable metadata management service that empowers organizations to quickly discover, understand, and manage all of their data. In this quest you will start small by learning how to search and tag data assets and metadata with Data Catalog. After learning how to build your own tag templates that map to BigQuery table data, you will learn how to build MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors.

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이 퀘스트를 완료하고 나면 어떤 Google Cloud 이니셔티브에도 적용할 수 있는 유용한 기술을 얻을 수 있습니다. 마지막에 제시되는 챌린지 실습을 포함해 이 퀘스트를 완료하면 특별한 Google Cloud 디지털 배지가 주어집니다. 1분 정도의 동영상을 통해 실습의 주요 개념을 알아볼 수 있습니다.

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Looking to build or optimize your data warehouse? Learn best practices to Extract, Transform, and Load your data into Google Cloud with BigQuery. In this series of interactive labs you will create and optimize your own data warehouse using a variety of large-scale BigQuery public datasets. 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. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.

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Earn the advanced skill badge by completing the Use Machine Learning APIs on Google Cloud course, where you learn the basic features for the following machine learning and AI technologies: Cloud Vision API, Cloud Cloud Translation API, and Cloud Natural Language API. 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 course, and the final assessment challenge lab, to receive a skill badge that you can share with your network.

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Want to build ML models in minutes instead of hours using just SQL? BigQuery ML democratizes machine learning by letting data analysts create, train, evaluate, and predict with machine learning models using existing SQL tools and skills. In this series of labs, you will experiment with different model types and learn what makes a good model. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.

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Machine Learning is one of the most innovative fields in technology, and the Google Cloud Platform has been instrumental in furthering its development. With a host of APIs, GCP has a tool for just about any machine learning job. In this advanced-level quest, you will get hands-on practice with machine learning at scale and how to employ the advanced ML infrastructure available on GCP.

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Earn a skill badge by completing the Explore Machine Learning Models with Explainable AI quest, where you will learn how to do the following using Explainable AI: build and deploy a model to an AI platform for serving (prediction), use the What-If Tool with an image recognition model, identify bias in mortgage data using the What-If Tool, and compare models using the What-If Tool to identify potential bias. 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 quest and the final assessment challenge lab to receive a skill badge that you can share with your network.

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In this advanced-level quest, you will learn how to harness serious Google Cloud computing power to run big data and machine learning jobs. The hands-on labs will give you use cases, and you will be tasked with implementing big data and machine learning practices utilized by Google’s very own Solutions Architecture team. From running Big Query analytics on tens of thousands of basketball games, to training TensorFlow image classifiers, you will quickly see why Google Cloud is the go-to platform for running big data and machine learning jobs.

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TensorFlow is an open source software library for high performance numerical computation that's great for writing models that can train and run on platforms ranging from your laptop to a fleet of servers in the Cloud to an edge device. This quest takes you beyond the basics of using predefined models and teaches you how to build, train and deploy your own on Google Cloud.

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It’s no secret that machine learning is one of the fastest growing fields in tech, and the Google Cloud Platform has been instrumental in furthering its development. With a host of APIs, GCP has a tool for just about any machine learning job. In this introductory quest, you will get hands-on practice with machine learning as it applies to language processing by taking labs that will enable you to extract entities from text, and perform sentiment and syntactic analysis as well as use the Speech to Text API for transcription.

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Using large scale computing power to recognize patterns and "read" images is one of the foundational technologies in AI, from self-driving cars to facial recognition. The Google Cloud Platform provides world class speed and accuracy via systems that can utilized by simply calling APIs. With these and a host of other APIs, GCP has a tool for just about any machine learning job. In this introductory quest, you will get hands-on practice with machine learning as it applies to image processing by taking labs that will enable you to label images, detect faces and landmarks, as well as extract, analyze, and translate text from within images.

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