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| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Google Cloud Certified Professional Cloud Architect Exam |
| Exam Number: | Professional Cloud Architect |
| Exam Format: | Case study-based questions, Multiple choice, Multiple select |
| Exam Duration: | 120 minutes |
| Related Certifications: | Google Cloud Professional Data Engineer Google Cloud Digital Leader Google Cloud Professional Cloud Network Engineer Google Cloud Professional Cloud Security Engineer Google Cloud Associate Cloud Engineer Google Cloud Professional Cloud Developer |
| Passing Score: | Not publicly disclosed (scaled score; commonly reported passing threshold ~70%) |
| Real Exam Qty: | Approximately 50–60 questions |
| Available Languages: | Japanese, Spanish, French, English, Portuguese |
| Certificate Validity Period: | 2 years |
| Exam Price: | $200 USD |
| Recommended Training: | Google Cloud Skills Boost - Cloud Architect Learning Path Coursera Google Cloud Professional Cloud Architect Training |
| Exam Registration: | Google Cloud Certification Portal Professional Cloud Architect Exam Page |
| Sample Questions: | Google Professional-Cloud-Architect Sample Questions |
| Exam Way: | Online proctored or onsite test center exam |
| Pre Condition: | No formal prerequisites required, but Google recommends prior experience with Google Cloud and cloud architecture design. |
| Official Syllabus URL: | https://cloud.google.com/learn/certification/cloud-architect |
>> Professional-Cloud-Architect Valid Test Questions <<
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The Google Certified Professional - Cloud Architect (GCP) certification exam covers a range of topics, including designing and planning a cloud solution architecture, managing and provisioning a cloud solution infrastructure, optimizing and securing a cloud solution environment, and analyzing and optimizing technical and business processes. Professional-Cloud-Architect Exam is designed to evaluate the candidate's ability to design and deploy scalable, reliable, and cost-effective cloud solutions that meet the needs of their organization.
NEW QUESTION # 217
TerramEarth plans to connect all 20 million vehicles in the field to the cloud. This increases the volume to
20 million 600 byte records a second for 40 TB an hour.
How should you design the data ingestion?
Answer: D
NEW QUESTION # 218
Case Study: 7 - Mountkirk Games
Company Overview
Mountkirk Games makes online, session-based, multiplayer games for mobile platforms. They build all of their games using some server-side integration. Historically, they have used cloud providers to lease physical servers.
Due to the unexpected popularity of some of their games, they have had problems scaling their global audience, application servers, MySQL databases, and analytics tools.
Their current model is to write game statistics to files and send them through an ETL tool that loads them into a centralized MySQL database for reporting.
Solution Concept
Mountkirk Games is building a new game, which they expect to be very popular. They plan to deploy the game's backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics, and take advantage of its autoscaling server environment and integrate with a managed NoSQL database.
Business Requirements
Increase to a global footprint.
* Improve uptime - downtime is loss of players.
* Increase efficiency of the cloud resources we use.
* Reduce latency to all customers.
* Technical Requirements
Requirements for Game Backend Platform
Dynamically scale up or down based on game activity.
* Connect to a transactional database service to manage user profiles and game state.
* Store game activity in a timeseries database service for future analysis.
* As the system scales, ensure that data is not lost due to processing backlogs.
* Run hardened Linux distro.
* Requirements for Game Analytics Platform
Dynamically scale up or down based on game activity
* Process incoming data on the fly directly from the game servers
* Process data that arrives late because of slow mobile networks
* Allow queries to access at least 10 TB of historical data
* Process files that are regularly uploaded by users' mobile devices
* Executive Statement
Our last successful game did not scale well with our previous cloud provider, resulting in lower user adoption and affecting the game's reputation. Our investors want more key performance indicators (KPIs) to evaluate the speed and stability of the game, as well as other metrics that provide deeper insight into usage patterns so we can adapt the game to target users.
Additionally, our current technology stack cannot provide the scale we need, so we want to replace MySQL and move to an environment that provides autoscaling, low latency load balancing, and frees us up from managing physical servers.
For this question, refer to the Mountkirk Games case study. You need to analyze and define the technical architecture for the database workloads for your company, Mountkirk Games.
Considering the business and technical requirements, what should you do?
Answer: C
NEW QUESTION # 219
For this question, refer to the TerramEarth case study.
To speed up data retrieval, more vehicles will be upgraded to cellular connections and be able to transmit data to the ETL process. The current FTP process is error-prone and restarts the data transfer from the start of the file when connections fail, which happens often. You want to improve the reliability of the solution and minimize data transfer time on the cellular connections. What should you do?
Answer: B
Explanation:
Explanation
From scenario: They currently have over 500 dealers and service centers in 100 countries.
Multi-Regional Storage is appropriate for storing data that is frequently accessed ("hot" objects), such as serving website content, interactive workloads, or data supporting mobile and gaming applications.
Multi-Regional Storage data has the most availability compared to other storage classes.
Multi-Regional Storage is geo-redundant, which means Cloud Storage stores your data redundantly in at least two geographic places separated by at least 100 miles within the multi-regional location of the bucket.
Geo-redundancy occurs asynchronously, but Multi-Regional Storage data is redundant within at least one geographic place as soon as you upload it. Like all Cloud Storage data, it is also immediately accessible worldwide.
References: https://cloud.google.com/storage/docs/storage-classes#multi-regional
NEW QUESTION # 220
A development team at your company has created a dockerized HTTPS web application. You need to deploy the application on Google Kubernetes Engine (GKE) and make sure that the application scales automatically.
How should you deploy to GKE?
Answer: C
Explanation:
Explanation
https://cloud.google.com/kubernetes-engine/docs/tutorials/http-balancer
https://cloud.google.com/kubernetes-engine/docs/concepts/network-overview#ext-lb
NEW QUESTION # 221
You are responsible for the architecture of a critical ecommerce application. The application ' s web frontends run on Compute Engine instances deployed across multiple zones within a single region. The architecture must be highly available and self-healing. If a zone becomes unavailable, the system must automatically recreate the lost capacity in the available zones. To maximize efficiency, you need to ensure that all provisioned compute resources actively serve traffic during normal operations, and user traffic is au tomatically and seamlessly directed away from any failed instance or zone. What should you do?
Answer: A
Explanation:
The Google Cloud Architecture Framework: Reliability section states that Regional Managed Instance Groups (MIGs) are the optimal choice for high availability within a region.
A Regional MIG automatically distributes instances across multiple zones. If a zone fails, the MIG's auto- healing feature detects the loss and automatically recreates the instances in the remaining healthy zones, satisfying the self-healing requirement. By placing a Regional External Application Load Balancer in front of the MIG and using health checks , the system ensures that traffic is only sent to healthy instances. This is an Active-Active configuration, meaning all instances are serving traffic during normal operations, maximizing efficiency. Option B is an Active-Passive (failover) setup which is less efficient, and Option A (unmanaged groups) lacks the auto-scaling and auto-healing capabilities required for modern ecommerce applications.
NEW QUESTION # 222
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