Google Professional Cloud Architect & Data Engineer Pack
找相似
商品已停售

Google Professional Cloud Architect & Data Engineer Pack

Udemy(舊)
Udemy(舊)

Udemy(舊)

※注意事項: 1.需透過LINE購物前往並在同一瀏覽器於24小時內結帳才享有回饋,點數將於廠商出貨後,隔天起算之90個日曆天陸續確認發送。 2.國際商家之商品金額及回饋點數依據將以商品未稅價格為準。 3.國際商家之商品金額可能受匯率影響而有微幅差異。 4.若於商家App下單,不符合LINE購物導購資格。

商品描述

Google Professional Cloud Architect & Data Engineer Pack course is an integral part of your preparation for the Google Cloud Professional Cloud Architect (PCA) and Professional Data Engineer (PDE) certifications. This course is meticulously designed to help learners assess their knowledge and readiness for the actual exams. The course includes numerous practice exams that closely mirror the real certification tests. Each exam is designed to simulate the conditions and nature of questions that learners will encounter when sitting for the actual PCA and PDE exams, encompassing a broad spectrum of topics, including Google Cloud Platform's (GCP) architectural principles, services, data processing technologies, and best data engineering practices. The questions featured in these mock exams cover practical scenarios that Cloud Architects and Data Engineers may face in their daily work. This design helps learners in understanding not only the theoretical aspects of the GCP, but also how to apply them in real-world contexts. These exams will challenge learners' knowledge and understanding of key concepts, allowing them to identify any areas that need additional study or practice. In addition to providing an accurate gauge of your exam readiness, the course also offers detailed explanations for each question. This feature is a valuable resource for gaining insights into the rationale behind each answer, reinforcing your understanding of the subject matter. By completing these mock exams, learners will gain confidence in their ability to pass the PCA and PDE exams and will be better equipped to succeed in their Google Cloud career pursuits. Google Cloud Platform - Unleash the Potential of Cloud Innovation! Google Cloud Platform (GCP) is a suite of cloud computing services offered by Google, providing a robust and scalable infrastructure for building, deploying, and managing applications and services. It offers a wide range of cloud-based services, including computing, storage, networking, databases, machine learning, and analytics. With Google Cloud Platform, businesses and developers can leverage the power of Google's global infrastructure to build and run applications with high performance, reliability, and security. GCP provides a flexible and pay-as-you-go pricing model, enabling organizations to scale their resources up or down based on demand, optimizing cost efficiency. GCP offers a comprehensive set of tools and services to support various application development and deployment needs. It provides infrastructure services like virtual machines, containers, and serverless computing, allowing developers to choose the most suitable environment for their applications. Additionally, Google Cloud Platform incorporates advanced technologies such as BigQuery for big data analytics, AI and machine learning services through TensorFlow and AutoML, and extensive APIs for integrating with other Google services. GCP also provides tools for monitoring, logging, and managing applications, ensuring operational efficiency and reliability. Furthermore, GCP emphasizes security and compliance, implementing robust measures to protect data and ensure regulatory compliance. It offers advanced security features, data encryption, identity management, and fine-grained access controls. Overall, Google Cloud Platform empowers organizations to build scalable and innovative applications, leverage advanced data analytics and machine learning capabilities, and benefit from the reliable and secure infrastructure of Google's global network.[GOOGLE PROFESSIONAL CLOUD ARCHITECT]A Google Cloud Certified Professional Cloud Architect enables organizations to leverage Google Cloud technologies. Through an understanding of cloud architecture and Google technology, this individual designs, develops, and manages robust, secure, scalable, highly available, and dynamic solutions to drive business objectives. The Cloud Architect should be proficient in all aspects of enterprise cloud strategy, solution design, and architectural best practices. The Cloud Architect should also be experienced in software development methodologies and approaches including multi-tiered distributed applications which span multicloud or hybrid environments. The Professional Cloud Architect certification exam assesses your ability to: Design and plan a cloud architectureManage and provision the cloud solution infrastructureDesign for security and complianceAnalyze and optimize technical and business processesManage implementations of cloud architectureEnsure solution and operations reliabilityAbout the Google Professional Cloud Architect exam: Length: 2 hoursRegistration fee: $200 (plus tax where applicable)Languages: English, JapaneseFormat: Multiple choice and multiple select, taken remotely or in person at a test center. Case studies: Each exam includes 2 case studies that describe fictitious business and solution concepts. Case study questions make up 20-30% of the exam and assess your ability to apply your knowledge to a realistic business situation. Recommended experience: 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud. Case studiesDuring the exam for the Cloud Architect Certification, some of the questions may refer you to a case study that describes a fictitious business. These case studies are intended to provide additional context to help you choose your answer(s). Review the case studies that may be used in the exam (Google website). EHR HealthcareHelicopter Racing LeagueMountkirk GamesTerramEarthExam guide: Designing and planning a cloud solution architectureDesigning a solution infrastructure that meets business requirementsDesigning a solution infrastructure that meets technical requirementsDesigning network, storage, and compute resourcesCreating a migration plan (i. e., documents and architectural diagrams)Envisioning future solution improvements Managing and provisioning a solution infrastructureConfiguring network topologiesConfiguring individual storage systemsConfiguring compute systemsDesigning for security and complianceDesigning for securityDesigning for complianceAnalyzing and optimizing technical and business processesAnalyzing and defining technical processesAnalyzing and defining business processesDeveloping procedures to ensure reliability of solutions in production (e. g., chaos engineering, penetration testing)Managing implementationAdvising development/operation teams to ensure successful deployment of the solutionInteracting with Google Cloud programmaticallyEnsuring solution and operations reliabilityMonitoring/logging/profiling/alerting solutionDeployment and release managementAssisting with the support of deployed solutionsEvaluating quality control measures[GOOGLE PROFESSIONAL DATA ENGINEER]Professional Data Engineers enable data-driven decision making by collecting, transforming, and publishing data. A Data Engineer should be able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and efficiency; reliability and fidelity; and flexibility and portability. A Data Engineer should also be able to leverage, deploy, and continuously train pre-existing machine learning models. About the Google Cloud Professional Data Engineer exam: Length: 2 hoursRegistration fee: $200 (plus tax where applicable)Languages: English, JapaneseFormat: 50-60 multiple choice and multiple select questionsRecommended experience: 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud. Exam Delivery Method: the online-proctored exam from a remote location or the onsite-proctored exam at a testing centerThe Professional Data Engineer exam assesses your ability to: Designing data processing systemsBuilding and operationalizing data processing systemsOperationalizing machine learning modelsEnsuring solution qualityExam guide: Designing data processing systemsSelecting the appropriate storage technologiesDesigning data pipelines. Designing a data processing solutionMigrating data warehousing and data processingBuilding and operationalizing data processing systemsBuilding and operationalizing storage systemsBuilding and operationalizing pipelinesBuilding and operationalizing processing infrastructureOperationalizing machine learning modelsLeveraging pre-built ML models as a serviceDeploying an ML pipelineChoosing the appropriate training and serving infrastructureMeasuring, monitoring, and troubleshooting machine learning models. Ensuring solution qualityDesigning for security and complianceEnsuring scalability and efficiencyEnsuring reliability and fidelityEnsuring flexibility and portability[Q & A]Can I take the practice test more than once?You can take each practical test multiple times. After completing the practice test, your final result will be published. Each time you take the test, the order of questions and answers is randomized. Do I have a time limit for practice tests?Each test has a time limit - 120 seconds per question. This gives a total of 15 hours for questions in this course. What result is required?The required grade for each practice test is 70% correct answers. Are the questions multiple choice?In order to reflect the form of the interview as much as possible and to raise the level of difficulty, the questions are single and multiple choice. Can I see my answers?You can review all submitted responses and see which were correct and which were not. Are the questions updated on a regular basis?Yes. Notes! I strongly encourage you to repeat these exams until you consistently achieve a score of 90% or higher on each exam. Do not hesitate and take the challenge today. Good luck!

加入購物車

分享

商品已停售