BONUS!!! Fast2test Professional-Cloud-Architect 시험 문제집 전체 버전을 무료로 다운로드하세요: https://drive.google.com/open?id=1kY_t_2A-Bhmxow-VHy8G5wcVV18cAQhB
Fast2test는IT업계전문가들이 그들의 노하우와 몇 년간의 경험 등으로 자료의 정확도를 높여 응시자들의 요구를 만족시켜 드립니다. 우리는 꼭 한번에Google Professional-Cloud-Architect시험을 패스할 수 있도록 도와드릴 것입니다. 여러분은Google Professional-Cloud-Architect시험자료 구매로 제일 정확하고 또 최신시험버전의 문제와 답을 사용할 수 있습니다. Pass4Tes의 인증시험적중 율은 아주 높습니다. 때문에 많은 IT인증시험준비중인분들에세 많은 편리를 드릴수 있습니다.100%정확도 100%신뢰.여러분은 마음편히 응시하시면 됩니다.
| Section | Objectives |
|---|---|
| Topic 1: Analyze and optimize technical and business processes | - Optimize cost and resource usage - Monitor, log, and optimize system performance |
| Topic 2: Design and plan a cloud solution architecture | - Design Google Cloud solutions based on business requirements - Plan security and compliance requirements - Design for reliability, scalability, and availability |
| Topic 3: Manage and provision the solution infrastructure | - Provision compute, storage, and network resources - Automate infrastructure deployment |
| Topic 4: Design for security and compliance | - Implement identity and access management (IAM) - Configure data protection and encryption |
| Topic 5: Manage implementations of cloud architecture | - Manage deployment and production systems - Ensure solution reliability and operational excellence |
>> Professional-Cloud-Architect합격보장 가능 인증덤프 <<
아직도 Google인증Professional-Cloud-Architect시험준비를 어떻게 해야 할지 망설이고 계시나요? 고객님의 IT인증시험준비길에는 언제나 Fast2test가 곁을 지켜주고 있습니다. Fast2test시험공부자료를 선택하시면 자격증취득의 소원이 이루어집니다. Google인증Professional-Cloud-Architect시험덤프는Fast2test가 최고의 선택입니다.
질문 # 53
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. As part of its development of fully autonomous driving vehicles. KnightMotives wants to analyze all vehicle sensor data during test drives. The analysis will enable KnightMotives to improve its software based on insights from this data.
- Different event types, such as parking, overtaking and navigating,
need to be analyzed. Each test vehicle and event type has an ID.
- Different categories of sensors, such as cameras, radars, and
ultrasonic beams, also need to be analyzed. During each autonomously-
initiated event, data from multiple sensors will be captured and sent
to Google Cloud where the data will be stored in Bigtable.
During data analysis, you want to be able to retrieve all sensor data of occurrences of the same event type for a specific vehicle within a specific interval of time. You need to design a Bigtable schema that is optimized for read performance. What should you do?
정답：C
설명：
Bigtable reads are optimized when the row key matches the most common access pattern, because rows with the same prefix are stored contiguously. Using vehicle ID followed by event ID groups all occurrences of the same event type for a given vehicle together, and appending the timestamp enables efficient range scans for a specific time interval. Storing data by sensor category in column families and individual sensors as qualifiers keeps related sensor data organized while supporting fast retrieval for each matching row range.
질문 # 54
You are implementing Firestore for Mountkirk Games. Mountkirk Games wants to give a new game programmatic access to a legacy game's Firestore database. Access should be as restricted as possible. What should you do?
정답：B
질문 # 55
You are designing a large distributed application with 30 microservices. Each of your distributed microservices needs to connect to a database back-end. You want to store the credentials securely. Where should you store the credentials?
정답：D
설명：
A is not correct because storing credentials in source code and source control is discoverable, in plain text, by anyone with access to the source code. This also introduces the requirement to update code and do a deployment each time the credentials are rotated.
B is not correct because consistently populating environment variables would require the credentials to be available, in plain text, when the session is started.
C is correct because key management systems generate, use, rotate, encrypt, and destroy cryptographic keys and manage permissions to those keys.
D is not correct because instead of managing access to the config file and updating manually as keys are rotated, it would be better to leverage a key management system. Additionally, there is increased risk if the config file contains the credentials in plain text.
https://cloud.google.com/kms/
질문 # 56
You are helping the QA team to roll out a new load-testing tool to test the scalability of your primary cloud services that run on Google Compute Engine with Cloud Bigtable.
Which three requirements should they include? Choose 3 answers
정답：A,C,E
설명：
A (Correct answer) - Ensure that the load tests validate the performance of Cloud Bigtable.
At first thought, it seems Bigtable is managed service seamlessly scaling, there is no need to load test it. But you probably already know, there are many factors impacting the Bigtable performance. The common one of them, poorly designed table structure.
With poorly performed BigTable, the cluster would continue to scale, add more and more nodes, as the load increasing, cost more and more. Not matter how good is the cluster managed, this is exact situation that needs to prevent. In fact, tests validate the performance of Cloud Bigtable is one of the most important testing goals for BigTable performance.
B (Correct answer) - Create a separate Google Cloud project to use for the load-testing environment.
This is a good practice for least privileges and separation of responsibilities.
C - Schedule the load-testing tool to regularly run against the production environment.
You should not do load testing RGULARLY against production environment; In fact, somebody has suggested Load test in production should avoid entirely.
D - Ensure all third-party systems your services used are capable of handling high load This is out of scope - it's beyond your control. You may test them, but you cannot control them. If you have doubts the third-party dependencies causing the overall performance issue, you may use integration test to identify and isolate them. This should not be your focus.
E - Instrument the production services to record every transaction for replay by the load-testing tool.
This would be way too much: not only the detailed instrumentation may impact the production performance, it's also possible the instrumentation itself distorts the test results - remember, Bigtable is for multiple terabyte or even petabyte NoSQL database for high throughput with low latency read and write.
F (Correct answer) - Instrument the load-testing tool and the target services with detailed logging and metrics collection.
This is normal requirement and practice for load testing to collect testing results with detailed measurable metric and historical logs otherwise load testing would be meaningless More Resource Understanding Cloud Bigtable Performance
https://cloud.google.com/bigtable/docs/performance
질문 # 57
For this question, refer to the JencoMart case study
A few days after JencoMart migrates the user credentials database to Google Cloud Platform and shuts down the old server, the new database server stops responding to SSH connections. It is still serving database requests to the application servers correctly. What three steps should you take to diagnose the problem? Choose 3 answers
정답：A,C,F
설명：
https://cloud.google.com/compute/docs/troubleshooting/troubleshooting-ssh D: Handling "Unable to connect on port 22" error message Possible causes include:
There is no firewall rule allowing SSH access on the port. SSH access on port 22 is enabled on all Compute Engine instances by default. If you have disabled access, SSH from the Browser will not work. If you run sshd on a port other than 22, you need to enable the access to that port with a custom firewall rule.
The firewall rule allowing SSH access is enabled, but is not configured to allow connections from GCP Console services. Source IP addresses for browser-based SSH sessions are dynamically allocated by GCP Console and can vary from session to session.
References:
https://cloud.google.com/compute/docs/ssh-in-browser
https://cloud.google.com/compute/docs/ssh-in-browser
질문 # 58
......
Fast2test사이트에서 제공해드리는 Google Professional-Cloud-Architect덤프는 실러버스의 갱신에 따라 업데이트되기에 고객님께서 구매한Google Professional-Cloud-Architect덤프가 시중에서 가장 최신버전임을 장담해드립니다. Google Professional-Cloud-Architect덤프의 문제와 답을 모두 기억하시면Google Professional-Cloud-Architect시험에서 한방에 패스할수 있습니다.시험에서 불합격 받으시면 결제를 취소해드립니다.
Professional-Cloud-Architect유효한 공부자료: https://kr.fast2test.com/Professional-Cloud-Architect-premium-file.html
참고: Fast2test에서 Google Drive로 공유하는 무료, 최신 Professional-Cloud-Architect 시험 문제집이 있습니다: https://drive.google.com/open?id=1kY_t_2A-Bhmxow-VHy8G5wcVV18cAQhB