Google Professional Cloud Developer Exam Practice Test
Google Professional Cloud Developer Exam के लिए अपना आत्मविश्वास बढ़ाएँ। अवधारणाओं का अभ्यास करें, उत्तरों को समझें और हर सवाल के साथ अपना ज्ञान मज़बूत करें।
एक नमूना सवाल आज़माएँपरीक्षा का परिचय और विवरण
The Google Professional Cloud Developer certification validates advanced expertise in designing, building, testing, and deploying scalable and highly available applications on Google Cloud Platform (GCP). This credential demonstrates a developer's proficiency across the full application lifecycle, from selecting appropriate GCP services and leveraging managed platforms to implementing cloud-native patterns, ensuring security and compliance, and automating operations. Certified professionals are recognized for their ability to make architectural decisions that optimize for performance, cost, and reliability using GCP's ecosystem. Earning this certification signals to employers a deep, practical understanding of modern cloud development principles, positioning the holder as a strategic asset capable of driving digital transformation and building robust solutions that leverage Google Cloud's innovative services.
नमूना प्रश्न
अभ्यास कैसे काम करता है, यह जानने के लिए एक उत्तर चुनें और व्याख्या देखें।
A B2B dashboard has one write-heavy order service and three read-heavy views: search results, monthly summaries, and support lookups. Product managers accept that read views can lag writes by 30 seconds. The current design sends every request to the normalized write schema and complex joins are slowing order placement.
A payroll service stores database passwords in Secret Manager. A new policy requires rotation every 60 days with no downtime. The service runs on Cloud Run with min instances set to 3, and the current implementation reads the secret only at process startup. During the last rotation, half the instances kept using the old password until they were manually restarted.
A team deploys a public Cloud Run API from source. The service must not receive unauthenticated requests, but an external HTTPS load balancer with Cloud Armor will expose selected paths. Developers also need the build step to happen in Google-managed CI rather than on laptops.
A regional SaaS application uses Cloud SQL for PostgreSQL in us-east1. The SLA requires surviving a zonal outage automatically, but a regional outage can use a documented manual recovery process with several minutes of data loss. The team wants the least complex database change that satisfies the SLA.
A team has hundreds of slow end-to-end tests and almost no unit tests. Small changes wait two hours for feedback, and failures are hard to diagnose. They still need confidence that checkout works across services before release.
करियर के अवसर और वेतन
जब तक लोकल रेंज न दिखे, ये US मार्केट के आंकड़े हैं।
इस परीक्षा में क्या शामिल है
पढ़ाई की योजना बनाने के लिए प्रकाशित डोमेन भार का उपयोग करें। अभ्यास के परिणाम आपके सर्टिफिकेशन परीक्षा के स्कोर का अनुमान नहीं हैं।
01Section 1: Designing highly scalable, secure, and reliable cloud-native applications
This section focuses on the architecture of cloud-native applications, emphasizing scalability, security, and reliability within the Google Cloud environment. It accounts for 32.0 percent of the exam content and requires mastery of complex design patterns.
02Section 3: Configuring cloud-native applications for deployment
This section addresses the configuration of applications for deployment, ensuring they are ready for production environments on Google Cloud. It makes up 24.0 percent of the exam, focusing on release automation and environment management for cloud-native software.
03Section 2: Building and testing applications
This domain covers the practical aspects of creating and validating applications, including the use of development tools and testing frameworks. It represents 23.0 percent of the exam and focuses on ensuring high-quality code and structured build processes.
04Section 4: Integrating applications with Google Cloud services
This domain focuses on connecting applications to various Google Cloud services, including AI APIs and data storage solutions. It comprises 21.0 percent of the exam, testing your ability to implement service integration and maintain data service connectivity.