Free Google Professional-Cloud-Architect Exam Questions

Become Google Certified with updated Professional-Cloud-Architect exam questions and correct answers

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Total 907 Questions | Updated On: Feb 19, 2025
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Question 1

As a cloud architect, you set up the optimal combination of CPU and memory resources for nodes in a Kubernetes cluster. You want to be notified whenever CPU utilization exceeds 80% for 5 minutes or when memory utilization exceeds 90% for 1 minute. What do you need to specify to receive such notifications?


Answer: B
Question 2

You are a cloud architect working for a large e-commerce company. The company is generating massive amounts of clickstream data from its online platform and wants to implement an efficient and scalable solution for storing and analyzing this data. The primary goal is to gain insights into user behavior and improve the overall user experience. Which of the following approaches would be the most suitable for storing and analyzing the clickstream data in this complex scenario?


Answer: C
Question 3

A digital media company lately shifted its infrastructure from On-Site to Google Cloud. There are multiple instances that are under the Global HTTPS load balancer. DDoS attacks were reported a few days ago for applications and infrastructure. Now they are searching for a service that could provide a DDoS protection mechanism. Which service should they use for this purpose?



Answer: D
Question 4

Your organization stores sensitive customer data in Cloud Storage. You have been asked to design a solution that both prevents unauthorized data access and ensures regulatory compliance. Which of the following approaches would be the most appropriate?


Answer: D
Question 5

Introductory Info 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. Question For this question, refer to the TerramEarth case study. You are migrating a Linux-based application from your private data center to Google Cloud. The

TerramEarth security team sent you several recent Linux vulnerabilities published by Common Vulnerabilities and Exposures (CVE). You need assistance in understanding how these vulnerabilities could impact your migration. What should you do? (Choose two.)


Answer: A,D
Page:    1 / 182      
Total 907 Questions | Updated On: Feb 19, 2025
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