Official Google Cloud Certified Professional Cloud Architect Study Guide word 网盘 高速 下载地址大全 免费

Sybex's proven Study Guide format teaches Google Cloud Architect job skills and prepares you for this important new Cloud exam. The Google Cloud Certified Professional Cloud Architect Study Guide is the essential resource for anyone preparing for this highly sought-after, professional-level certification. Clear and accurate chapters cover 100% of exam objectives—helping you gain the knowledge and confidence to succeed on exam day. A pre-book assessment quiz helps you evaluate your skills, while chapter review questions emphasize critical points of learning. Detailed explanations of crucial topics include analyzing and defining technical and business processes, migration planning, and designing storage systems, networks, and compute resources. Written by Dan Sullivan—a well-known author and software architect specializing in analytics, machine learning, and cloud computing—this invaluable study guide includes access to the Sybex interactive online learning environment, which includes complete practice tests, electronic flash cards, a searchable glossary, and more. Providing services suitable for a wide range of applications, particularly in high-growth areas of analytics and machine learning, Google Cloud is rapidly gaining market share in the cloud computing world. Organizations are seeking certified IT professionals with the ability to deploy and operate infrastructure, services, and networks in the Google Cloud. Take your career to the next level by validating your skills and earning certification. Design and plan cloud solution architecture Manage and provision cloud infrastructure Ensure legal compliance and security standards Understand options for implementing hybrid clouds Develop solutions that meet reliability, business, and technical requirements The Google Cloud Certified Professional Cloud Architect Study Guide is a must-have for IT professionals preparing for certification to deploy and manage Google cloud services.

Introduction xxi Assessment Test xxviii Chapter 1 Introduction to the Google Professional Cloud Architect Exam 1 Exam Objectives 2 Analyzing Business Requirements 3 Reducing Operational Expenses 3 Accelerating the Pace of Development 4 Reporting on Service-Level Objectives 4 Reducing Time to Recover from an Incident 5 Improving Compliance with Industry Regulations 6 Analyzing Technical Requirements 7 Functional Requirements 7 Exam Case Studies 10 Summary 18 Exam Essentials 18 Review Questions 20 Chapter 2 Designing for Business Requirements 23 Business Use Cases and Product Strategy 24 Dress4Win Strategy 25 Mountkirk Games Strategy 26 TerramEarth Strategy 27 Application Design and Cost Considerations 28 Managed Services 29 Preemptible Virtual Machines 31 Data Lifecycle Management 32 Systems Integration and Data Management 33 Systems Integration Business Requirements 33 Data Management Business Requirements 35 Compliance and Regulation 36 Privacy Regulations 37 Data Integrity Regulations 38 Security 38 Confidentiality 38 Integrity 39 Availability 39 Success Measures 40 Key Performance Indicators 40 Return on Investment 41 Summary 41 Exam Essentials 42 Review Questions 43 Chapter 3 Designing for Technical Requirements 49 High Availability 50 Compute Availability 52 Storage Availability 54 Network Availability 57 Application Availability 58 Scalability 58 Scaling Compute Resources 59 Scaling Storage Resources 60 Network Design for Scalability 61 Reliability 61 Measuring Reliability 61 Reliability Engineering 62 Summary 62 Exam Essentials 63 Review Questions 64 Chapter 4 Designing Compute Systems 69 Compute Services and Use Cases 70 Compute Engine 71 App Engine 74 Kubernetes Engine 76 Cloud Functions 78 Compute System Provisioning 79 Additional Design Issues 80 Managing State in Distributed Systems 80 Data Flows and Pipelines 82 Monitoring and Alerting 84 Summary 85 Exam Essentials 85 Review Questions 86 Chapter 5 Designing Storage Systems 91 Overview of Storage Services 92 Object Storage with Google Cloud Storage 93 Organizing Objects in a Namespace 93 Cloud Storage FUSE 94 Storage Tiers 94 Cloud Storage Use Cases 95 Network-Attached Storage with Google Cloud Filestore 96 Databases 97 Relational Database Overview 97 Cloud SQL 98 Cloud Spanner 99 Analytics Database: BigQuery 100 NoSQL Databases 101 Caching with Cloud Memorystore 103 Data Retention and Lifecycle Management 104 Networking and Latency 105 Summary 106 Exam Essentials 106 Review Questions 109 Chapter 6 Designing Networks 113 Virtual Private Clouds 114 VPC Subnets 114 Shared VPC 115 VPC Network Peering 115 Firewall Rules 115 IP Addressing and CIDR Blocks 116 Hybrid-Cloud Networking 117 Hybrid-Cloud Design Considerations 117 Hybrid-Cloud Implementation Options 118 Load Balancing 120 Regional Load Balancing 120 Global Load Balancing 121 Summary 122 Exam Essentials 122 Review Questions 124 Chapter 7 Designing for Security and Legal Compliance 127 Identity and Access Management 128 Identities and Groups 128 Resources 129 Permissions 130 Roles 130 Policies 132 IAM Best Practices 133 Data Security 134 Encryption 134 Key Management 136 Security Evaluation 137 Security Design Principles 139 Major Regulations 141 ITIL Framework 143 Summary 144 Exam Essentials 144 Review Questions 147 Chapter 8 Designing for Reliability 151 Improving Reliability with Stackdriver 152 Monitoring with Stackdriver 153 Alerting with Stackdriver 156 Logging with Stackdriver 156 Release Management 157 Continuous Deployment 158 Continuous Integration 162 Systems Reliability Engineering 162 Overload 162 Cascading Failures 165 Testing for Reliability 166 Incident Management and Post-Mortem Analysis 167 Summary 168 Exam Essentials 168 Review Questions 170 Chapter 9 Analyzing and Defining Technical Processes 173 Software Development Lifecycle Plan 174 Analysis 174 Design 176 Continuous Integration/Continuous Development 179 Troubleshooting and Post-Mortem Analysis Culture 180 Incident Post-Mortems 180 Project Post-Mortems 182 IT Enterprise Processes 182 Business Continuity Planning and Disaster Recovery 184 Business Continuity Planning 184 Disaster Recovery 185 Summary 186 Exam Essentials 186 Review Questions 188 Chapter 10 Analyzing and Defining Business Processes 193 Stakeholder Management 194 Interests and Influence 194 Projects, Programs, and Portfolios 195 Stages of Stakeholder Management 196 Change Management 197 Reasons for Change 197 Change Management Methodologies 198 Team Skill Management 199 Customer Success Management 199 Cost Management 200 Summary 201 Exam Essentials 202 Review Questions 203 Chapter 11 Development and Operations 207 Application Development Methodologies 208 Waterfall 208 Spiral 209 Agile 210 Technical Debt 211 API Best Practices 212 Resources and Standard Methods 212 API Security 213 Testing Frameworks 215 Testing Framework Models 215 Automated Testing Tools 216 Data and System Migration Tooling 217 Types of Cloud Migrations 217 Migration Services and Tools 217 GCP SDK Components 219 Summary 219 Exam Essentials 220 Review Questions 222 Chapter 12 Migration Planning 227 Integrating Cloud Services with Existing Systems 228 Migrating Systems and Data 229 Planning for Systems Migrations 229 Planning for Data Migration 231 Licensing Mapping 232 Network and Management Planning 233 Virtual Private Clouds 234 Network Access Controls 235 Scaling 235 Connectivity 235 Summary 236 Exam Essentials 236 Review Questions 238 Appendix Answers to Review Questions 241 Chapter 1: Introduction to the Google Professional Cloud Architect Exam 242 Chapter 2: Designing for Business Requirements 244 Chapter 3: Designing for Technical Requirements 247 Chapter 4: Designing Compute Systems 249 Chapter 5: Designing Storage Systems 252 Chapter 6: Designing Networks 254 Chapter 7: Designing for Security and Legal Compliance 255 Chapter 8: Designing for Reliability 257 Chapter 9: Analyzing and Defining Technical Processes 259 Chapter 10: Analyzing and Defining Business Processes 261 Chapter 11: Development and Operations 262 Chapter 12: Migration Planning 264 Index 267

DAN SULLIVAN is a software architect specializing in big data, machine learning, and cloud computing. A Google Cloud Certified Associate Cloud Engineer and Professional Cloud Architect, he is also an instructor with LinkedIn Learning, where he develops courses on data science, machine learning, and data management. His current project involves real-time analysis of application and system monitoring data.

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