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| Certification Vendor: | |
|---|---|
| Exam Name: | Google Certified Professional - Cloud Architect |
| Exam Number: | Professional-Cloud-Architect |
| Related Certifications: | Google Cloud Certified - Professional Cloud Architect |
| Certificate Validity Period: | 2 years |
| Exam Price: | $200 USD |
| Real Exam Qty: | 50-60 |
| Exam Format: | Multiple Choice, Multiple Select |
| Passing Score: | Not publicly disclosed |
| Exam Duration: | 120 minutes |
| Available Languages: | Portuguese, German, Indonesian, Japanese, Spanish, English, French |
| Sample Questions: | Google Professional-Cloud-Architect Sample Questions |
| Exam Way: | Online (proctored) or at a test center |
| Pre Condition: | No mandatory prerequisite, but recommended to have 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud |
| Official Syllabus URL: | https://cloud.google.com/learn/certification/cloud-architect |
>> Professional-Cloud-Architect Prüfungs-Guide <<
Das Zertifikat von Google Professional-Cloud-Architect kann Ihnen sehr viel helfen. Mit dem Zertifikat können Sie befördert werden. Und Ihr Lebensniveau wird sich sicher verbessern. Das Google Professional-Cloud-Architect Zertifikat bedeutet für Sie einen großen Reichtum. Die Google Professional-Cloud-Architect (Google Certified Professional - Cloud Architect (GCP)) Zertifizierungsprüfung ist ein Test für die IT-Fachleute. Die Prüfungsmaterialien zur Google Professional-Cloud-Architect Zertifizierungsprüfung sind die besten und umfassendsten. Nun stellt DeutschPrüfung Ihnen die besten und optimalen Prüfungsmaterialien zur Professional-Cloud-Architect Zertifizierungsprüfung zur Verfügung, die Prüfungsfragen und Antworten enthalten.
Die Prüfung besteht aus Fragen mit Mehrfachauswahl und Szenariobasierten Fragen und ist darauf ausgelegt, das Wissen und die Fähigkeiten des Kandidaten in verschiedenen Bereichen zu testen, wie zum Beispiel: Design und Planung einer Cloud-Lösungsarchitektur, Verwaltung und Bereitstellung einer Cloud-Infrastruktur, Optimierung von Cloud-Lösungen für Kosten und Leistung sowie Sicherheit und Compliance von Cloud-Lösungen.
Google Professional-Cloud-Architect (Google Certified Professional-Cloud Architect (GCP)) Zertifizierungsprüfung ist eine weltweit anerkannte professionelle Zertifizierung, die die Fähigkeit einer Person validiert, robuste, skalierbare und sichere Cloud-Architekturlösungen mithilfe von Google Cloud-Plattform zu entwerfen, zu entwickeln und zu verwalten (GCP). Diese Zertifizierung ist ideal für Cloud -Architekten, Cloud -Ingenieure, Lösungsarchitekten und IT -Fachleute, die für die Gestaltung und Verwaltung von Cloud -Infrastruktur und -anwendungen verantwortlich sind.
Die Google Professional-Cloud-Architect-Zertifizierungsprüfung testet Kandidaten für ihre Fähigkeit, Cloud-Lösung-Architekturen zu entwerfen und zu planen, die Infrastruktur, sicherzustellen, sicherzustellen, die Leistung und Skalierbarkeit zu optimieren und Probleme zu beheben und zu beheben. Die Prüfung deckt eine Reihe von Themen wie Cloud -Architektur, Infrastruktur, Sicherheit, Datenspeicherung, Netzwerk und Anwendungsentwicklung ab.
210. Frage
You need to upload files from your on-premises environment to Cloud Storage. You want the files to be encrypted on Cloud Storage using customer-supplied encryption keys. What should you do?
Antwort: B
Begründung:
Reference:
https://cloud.google.com/storage/docs/encryption/customer-supplied-keys#gsutil
211. Frage
You deploy your custom Java application to Google App Engine. It fails to deploy and gives you the following stack trace.
What should you do?
Antwort: B
212. Frage
Case Study: 11 - TerramEarth
Company overview
TerramEarth manufactures heavy equipment for the mining and agricultural industries. They currently have over 500 dealers and service centers in 100 countries.
Their mission is to build products that make their customers more productive.
Solution concept
There are 2 million TerramEarth vehicles in operation currently, and we see 20% yearly growth.
Vehicles collect telemetry data from many sensors during operation. A small subset of critical data is transmitted from the vehicles in real time to facilitate fleet management. The rest of the sensor data is collected, compressed, and uploaded daily when the vehicles return to home base.
Each vehicle usually generates 200 to 500 megabytes of data per day.
Existing technical environment
TerramEarth's vehicle data aggregation and analysis infrastructure resides in Google Cloud and serves clients from all around the world. A growing amount of sensor data is captured from their two main manufacturing plants and sent to private data centers that contain their legacy inventory and logistics management systems. The private data centers have multiple network interconnects configured to Google Cloud. The web frontend for dealers and customers is running in Google Cloud and allows access to stock management and analytics.
Business requirements
- Predict and detect vehicle malfunction and rapidly ship parts to dealerships for just-in-time repair where possible.
- Decrease cloud operational costs and adapt to seasonality.
- Increase speed and reliability of development workflow.
- Allow remote developers to be productive without compromising code or data security.
- Create a flexible and scalable platform for developers to create custom API services for dealers and partners.
Technical requirements
- Create a new abstraction layer for HTTP API access to their legacy systems to enable a gradual move into the cloud without disrupting operations.
- Modernize all CI/CD pipelines to allow developers to deploy container-based workloads in highly scalable environments.
- Allow developers to run experiments without compromising security and governance requirements.
- Create a self-service portal for internal and partner developers to create new projects, request resources for data analytics jobs, and centrally manage access to the API endpoints.
- Use cloud-native solutions for keys and secrets management and optimize for identity-based access.
- Improve and standardize tools necessary for application and network monitoring and troubleshooting.
Executive statement
Our competitive advantage has always been our focus on the customer, with our ability to provide excellent customer service and minimize vehicle downtimes.
After moving multiple systems into Google Cloud, we are seeking new ways to provide best-in- class online fleet management services to our customers and improve operations of our dealerships. Our 5-year strategic plan is to create a partner ecosystem of new products by enabling access to our data, increasing autonomous operation capabilities of our vehicles, and creating a path to move the remaining legacy systems to the cloud.
For this question, refer to the Terram Earth case study. Terram Earth receives daily data in the Cloud using network interconnects with private on-premises data centers.A subset of the data is transmitted and processed in real time and the rest daily, when the vehicles return to home base.
You have been asked to prepare a complete solution for the ingestion and management of this data, which must be both fully stored and aggregated for analytics with Bigquery. Which of the following actions do you think is the best solution (pick 2)?
Antwort: A,B
213. Frage
Your architecture calls for the centralized collection of all admin activity and VM system logs within your
project.
How should you collect these logs from both VMs and services?
Antwort: D
Begründung:
Explanation/Reference:
Reference https://cloud.google.com/logging/docs/agent/
214. Frage
Case Study: 13 - KnightMotives Automotive
Company Overview
KnightMotives is a car manufacturer specializing in autonomous, self-driving vehicles, including Battery Electric Vehicles (BEVs), hybrids and traditional internal combustion engine (ICE) vehicles. While KnightMotives has made strides with the in-vehicle experience in their BEV fleet, the hybrid and ICE vehicles have yet to implement these new systems and are viewed poorly by critics and drivers. The lack of modern in-vehicle technology in hybrid and ICE vehicles has resulted in declining sales and customer satisfaction.
KnightMotives wants to modernize the consumer experience across all vehicles within five years Artificial Intelligence offers a unique opportunity to revolutionize the in-vehicle experience, as well as the shopping buying and service/maintenance experience. Investment in this new technology will require a shift in financial priorities on a global scale.
KnightMotives also wants to improve their online ordering system, which is unreliable. Systems for customers to build their vehicle online for acquisition through a dealer are not delivering the data or reliability that dealers need, causing. A strain in the relationship between KnightMotives and dealers. Service technicians and sales staff need better tooling to enhance dealer successes, including built-to-order vehicles.
Solution Concept
KnightMotives wants to shift from manufacturing cars to creating a complete and compelling
"automotive experience." Then strategy prioritizes delivering a consistent experience across all models, developing AI-powered features, generating new revenue from data monetization, adopting a digital focus to differentiate their brand from competitors, and developing better tools for mechanics and salespeople.
Existing Technical Environment
KnightMotives's IT is largely on-premises with some applications on major cloud platforms. Their supply chain runs on an outdated mainframe, and Enterprise Resource Planning (ERP) is also outdated, making new promotions and dealer discounts difficult to implement. Dealers have no budget for new equipment. There is fragmentation across vehicles with multiple code bases, and significant technical debt from supporting backwards compatibility. Network connectivity to manufacturing plants and vehicle connectivity in rural areas are challenges.
Business Requirements
Key business requirements include fostering a personalized relationship with the driver and delivering a cohesive experience across all models. Creating a better build-to-order model will reduce time on the lot and provide transparency for both dealers and customers. Additionally, KnightMotives seeks to monetize corporate data to finance new technology investments, as their current AI infrastructure is obsolete and corporate data remains siloed. Security is a paramount concern due to past data breaches Adherence to European Union (EU) data protection regulations, especially for emerging autonomous platforms, is critical.
KnightMotives plans to make significant investments in fully autonomous driving capabilities, with initial implementation targeting regions with favorable regulatory environments. Prioritizing employee upskilling, attracting top-tier talent, and fostering better communication between business and technical teams are also critical objectives.
Technical Requirements
- Modernizing the in-vehicle experience includes developing a consistent user experience (UX)
that seamlessly integrates AI-powered features across all models, updating in-vehicle hardware and software in legacy models to support new UX features and AI capabilities, and ensuring reliable network connectivity, especially in rural areas, to support real-time AI features and data transmission.
- Network upgrades are necessary to support increased data traffic and improve connectivity
between plants and headquarters.
- IT infrastructure modernization requires adopting a hybrid cloud strategy to leverage the
benefits of both on-premises and cloud infrastructure, and gradually modernizing or replacing legacy systems to improve efficiency and agility.
- Autonomous vehicle development and testing requires investing in cutting-edge AI and machine
learning technologies, building a robust simulation environment, and ensuring compliance with evolving regulations related to autonomous vehicles.
- Data monetization and insights requires implementing a robust data management platform,
strict data security and privacy measures, and a scalable AI/ML infrastructure.
- Increased focus on security and risk management involves implementing a comprehensive
security framework to protect against cyber threats and data breaches, developing an incident response plan, and providing security awareness training to employees.
- Providing a delightful experience for dealers and customers requires improving the online build-
to-order system; developing modern dealer tools to streamline dealer operations, including sales, service, and inventory management; and implementing a comprehensive Customer Relationship Management (CRM) system to track customer interactions personalize experiences, and improve customer satisfaction.
Executive Statement
KnightMotives is committed to enhancing safety and saving lives by leveraging an extensive body of data - encompassing driving, road conditions, behavioral studies, and crash safety statistics - to create compelling digital experiences for drivers. Our AI consistently outperforms national safety statistics, ensuring the unique and coveted KnightMotives experience is aligned across all our vehicle models.
Michael Knight, KnightMotives CEO
For this question, refer to the KnightMotives Automotive case study. KnightMotives has established a dedicated Google Cloud Interconnect with 99.99% availability between its headquarters and two different metropolitan areas corresponding to the us-central1 and us-east1 Google Cloud regions. To minimize cost and latency between these workloads, you want to ensure all workloads in Google Cloud are deployed in these two regions as the VLAN attachment for the Cloud Interconnect. What should you do?
Antwort: D
Begründung:
Resource Location Restriction (an Organization Policy constraint) enforces where supported Google Cloud resources are allowed to be created. By configuring it at the organization level to allow only us-central1 and us-east1, you prevent teams and tools from deploying workloads in any other regions, ensuring compliance automatically without relying on monitoring, conventions, or network design.
215. Frage
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