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| Certification Vendor: | |
|---|---|
| Exam Name: | Google Cloud Certified Professional - Cloud Architect Exam |
| Exam Number: | Professional-Cloud-Architect |
| Real Exam Qty: | 50-60 |
| Exam Price: | USD 200 (plus tax where applicable) |
| Related Certifications: | Google Cloud Certified Associate Cloud Engineer Google Cloud Certified Professional Cloud Developer Google Cloud Certified Professional Cloud Network Engineer Google Cloud Certified Professional Cloud Security Engineer |
| Passing Score: | Not officially disclosed |
| Available Languages: | Japanese, English |
| Exam Format: | Multiple choice, Multiple select, Case study-based questions |
| Exam Duration: | 120 minutes |
| Certificate Validity Period: | 2 years |
| Recommended Training: | Google Cloud Professional Cloud Architect Learning Path Google Cloud Architect Exam Guide |
| Exam Registration: | Google Cloud Certification Registration |
| Sample Questions: | Google Professional-Cloud-Architect Sample Questions |
| Exam Way: | Online proctored or onsite proctored at authorized test centers |
| Pre Condition: | No mandatory prerequisites; recommended 3+ years industry experience, including 1+ year designing and managing Google Cloud solutions |
| Official Syllabus URL: | https://cloud.google.com/learn/certification/cloud-architect |
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Google Professional-Cloud-Architect certification exam has been designed to validate the skills of cloud professionals who are interested in designing and developing solutions on Google Cloud Platform. Candidates who pass the exam will have demonstrated their expertise in designing and implementing cloud solutions that are scalable, reliable, and secure. Professional-Cloud-Architect Exam covers a wide range of topics, including cloud architecture, infrastructure, security, and compliance. Candidates are required to demonstrate their knowledge of these topics by answering multiple-choice questions, case studies, and scenarios.
NEW QUESTION # 264
You have an application that makes HTTP requests to Cloud Storage. Occasionally the requests fail with HTTP status codes of 5xx and 429.
How should you handle these types of errors?
Answer: C
Explanation:
an incident.
Reference:
Reference https://cloud.google.com/storage/docs/json_api/v1/status-codes
NEW QUESTION # 265
For this question, refer to the Cymbal Retail case study. Cymbal wants to migrate its diverse database environment to Google Cloud while ensuring high availability and performance for online customers. The company also wants to efficiently store and access large product images These images typically stay In the catalog for more than 90 days and are accessed less and less frequently. You need to select the appropriate Google Cloud services for each database. You also need to design a storage solution for the product images that optimizes cost and performance What should you do?
Answer: C
Explanation:
The Google Cloud database migration path follows a " like-for-like " managed service strategy. Cloud SQL is the recommended destination for MySQL and SQL Server workloads that do not require the massive horizontal scale of Spanner, fitting Cymbal's " Technical Stack Modernization " goals. Memorystore is the managed service for Redis, and Firestore is the native NoSQL replacement for MongoDB.
For the image storage requirement, Cloud Storage Coldline is the mathematically correct choice for data accessed " less and less frequently " with a retention period exceeding 90 days . According to Cloud Storage documentation , Coldline is specifically designed for data accessed at most once a quarter (90 days). Using Object Lifecycle Management to move images from Standard to Coldline allows Cymbal to " reduce costs " while keeping images " immediately accessible " (unlike Archive storage, which may have different trade- offs). Option C is less optimal because Nearline is intended for 30-day access patterns; given the images stay for 90+ days and usage drops significantly, the deeper savings of Coldline are preferred. Option A is over- engineered (Spanner for all) and expensive, while Option B contradicts the requirement to " reduce costs " by increasing operational overhead
NEW QUESTION # 266
For this question, refer to the TerramEarth case study. To be compliant with European GDPR regulation, TerramEarth is required to delete data generated from its European customers after a period of 36 months when it contains personal data. In the new architecture, this data will be stored in both Cloud Storage and BigQuery. What should you do?
Answer: B
NEW QUESTION # 267
For this question, refer to the Helicopter Racing League (HRL) case study. HRL wants better prediction accuracy from their ML prediction models. They want you to use Google's AI Platform so HRL can understand and interpret the predictions. What should you do?
Answer: B
Explanation:
Reference: https://cloud.google.com/ai-platform/prediction/docs/ai-explanations/preparing-metadata
NEW QUESTION # 268
Case Study: 8 - Mountkirk Games, C
Company overview
Mountkirk Games makes online, session-based, multiplayer games for mobile platforms. They have recently started expanding to other platforms after successfully migrating their on-premises environments to Google Cloud.
Their most recent endeavor is to create a retro-style first-person shooter (FPS) game that allows hundreds of simultaneous players to join a geo-specific digital arena from multiple platforms and locations. A real-time digital banner will display a global leaderboard of all the top players across every active arena.
Solution concept
Mountkirk Games is building a new multiplayer game that they expect to be very popular. They plan to deploy the game's backend on Google Kubernetes Engine so they can scale rapidly and use Google's global load balancer to route players to the closest regional game arenas. In order to keep the global leader board in sync, they plan to use a multi-region Spanner cluster.
Existing technical environment
The existing environment was recently migrated to Google Cloud, and five games came across using lift-and-shift virtual machine migrations, with a few minor exceptions. Each new game exists in an isolated Google Cloud project nested below a folder that maintains most of the permissions and network policies. Legacy games with low traffic have been consolidated into a single project.
There are also separate environments for development and testing.
Business requirements
- Support multiple gaming platforms.
- Support multiple regions.
- Support rapid iteration of game features.
- Minimize latency.
- Optimize for dynamic scaling.
- Use managed services and pooled resources.
- Minimize costs.
Technical requirements
- Dynamically scale based on game activity.
- Publish scoring data on a near real-time global leaderboard.
- Store game activity logs in structured files for future analysis.
- Use GPU processing to render graphics server-side for multi-platform support.
- Support eventual migration of legacy games to this new platform.
Executive statement
Our last game was the first time we used Google Cloud, and it was a tremendous success. We were able to analyze player behavior and game telemetry in ways that we never could before.
This success allowed us to bet on a full migration to the cloud and to start building all-new games using cloud-native design principles. Our new game is our most ambitious to date and will open up doors for us to support more gaming platforms beyond mobile. Latency is our top priority, although cost management is the next most important challenge. As with our first cloud-based game, we have grown to expect the cloud to enable advanced analytics capabilities so we can rapidly iterate on our deployments of bug fixes and new functionality.
You need to implement a network ingress for a new game that meets the defined business and technical requirements. Mountkirk Games wants each regional game instance to be located in multiple Google Cloud regions. What should you do?
Answer: C
Explanation:
The game fulfills the business requirements as well as the technical requirements - so it is build upon an architecture that is multi regional.
https://cloud.google.com/kubernetes-engine/docs/concepts/multi-cluster-ingress
NEW QUESTION # 269
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