Amazon
Avaya
Checkpoint
Cisco®
CompTIA
CrowdStrike
EC-Council
EXIN
Fortinet
Google
ISC
ISC2
ITIL®
Juniper
Microsoft
MuleSoft
Okta
Oracle
Palo Alto Networks
Salesforce
All Vendors
  1. Home
  2. Google
  3. Google Cloud Architect Professional

Google Google Cloud Architect Professional Exam (page: 4)
Google Cloud Certified - Professional Cloud Architect
Updated on: 25-Aug-2025

Viewing Page 4 of 57
Google Cloud Architect Professional PDF 279 Questions

Company Overview
TerramEarth manufactures heavy equipment for the mining and agricultural industries: About 80% of their business is from mining and 20% from agriculture. They currently have over 500 dealers and service centers in 100 countries. Their mission is to build products that make their customers more productive.

Company Background
TerramEarth formed in 1946, when several small, family owned companies combined to retool after World War II. The company cares about their employees and customers and considers them to be extended members of their family.
TerramEarth is proud of their ability to innovate on their core products and find new markets as their customers' needs change. For the past 20 years trends in the industry have been largely toward increasing productivity by using larger vehicles with a human operator.

Solution Concept
There are 20 million TerramEarth vehicles in operation that collect 120 fields of data per second. Data is stored locally on the vehicle and can be accessed for analysis when a vehicle is serviced. The data is downloaded via a maintenance port. This same port can be used to adjust operational parameters, allowing the vehicles to be upgraded in the field with new computing modules. Approximately 200,000 vehicles are connected to a cellular network, allowing TerramEarth to collect data directly. At a rate of 120 fields of data per second, with 22 hours of operation per day. TerramEarth collects a total of about 9 TB/day from these connected vehicles.

Existing Technical Environment



TerramEarth's existing architecture is composed of Linux-based systems that reside in a data center. These systems gzip CSV files from the field and upload via FTP, transform and aggregate them, and place the data in their data warehouse. Because this process takes time, aggregated reports are based on data that is 3 weeks old.
With this data, TerramEarth has been able to preemptively stock replacement parts and reduce unplanned downtime of their vehicles by 60%. However, because the data is stale, some customers are without their vehicles for up to 4 weeks while they wait for replacement parts.

Business Requirements
· Decrease unplanned vehicle downtime to less than 1 week, without increasing the cost of carrying surplus inventory
· Support the dealer network with more data on how their customers use their equipment IP better position new products and services.
· Have the ability to partner with different companies-especially with seed and fertilizer suppliers in the fast-growing agricultural business-to create compelling joint offerings for their customers

CEO Statement
We have been successful in capitalizing on the trend toward larger vehicles to increase the productivity of our customers. Technological change is occurring rapidly and TerramEarth has taken advantage of connected devices technology to provide our customers with better services, such as our intelligent farming equipment. With this technology, we have been able to increase farmers' yields by 25%, by using past trends to adjust how our vehicles operate. These advances have led to the rapid growth of our agricultural product line, which we expect will generate 50% of our revenues by 2020.

CTO Statement
Our competitive advantage has always been in the manufacturing process with our ability to build better vehicles for tower cost than our competitors. However, new products with different approaches are constantly being developed, and I'm concerned that we lack the skills to undergo the next wave of transformations in our industry. Unfortunately, our CEO doesn't take technology obsolescence seriously and he considers the many new companies in our industry to be niche players. My goals are to build our skills while addressing immediate market needs through incremental innovations.

For this question refer to the TerramEarth case study

Operational parameters such as oil pressure are adjustable on each of TerramEarth's vehicles to increase their efficiency, depending on their environmental conditions. Your primary goal is to increase the operating efficiency of all 20 million cellular and unconnected vehicles in the field How can you accomplish this goal?

  1. Have your engineers inspect the data for patterns, and then create an algorithm with rules that make operational adjustments automatically.
  2. Capture all operating data, train machine learning models that identify ideal operations, and run locally to make operational adjustments automatically.
  3. Implement a Google Cloud Dataflow streaming job with a sliding window, and use Google Cloud Messaging (GCM) to make operational adjustments automatically.
  4. Capture all operating data, train machine learning models that identify ideal operations, and host in Google Cloud Machine Learning (ML) Platform to make operational adjustments automatically.

Answer(s): B




Company Overview
TerramEarth manufactures heavy equipment for the mining and agricultural industries: About 80% of their business is from mining and 20% from agriculture. They currently have over 500 dealers and service centers in 100 countries. Their mission is to build products that make their customers more productive.

Company Background
TerramEarth formed in 1946, when several small, family owned companies combined to retool after World War II. The company cares about their employees and customers and considers them to be extended members of their family.
TerramEarth is proud of their ability to innovate on their core products and find new markets as their customers' needs change. For the past 20 years trends in the industry have been largely toward increasing productivity by using larger vehicles with a human operator.

Solution Concept
There are 20 million TerramEarth vehicles in operation that collect 120 fields of data per second. Data is stored locally on the vehicle and can be accessed for analysis when a vehicle is serviced. The data is downloaded via a maintenance port. This same port can be used to adjust operational parameters, allowing the vehicles to be upgraded in the field with new computing modules. Approximately 200,000 vehicles are connected to a cellular network, allowing TerramEarth to collect data directly. At a rate of 120 fields of data per second, with 22 hours of operation per day. TerramEarth collects a total of about 9 TB/day from these connected vehicles.

Existing Technical Environment



TerramEarth's existing architecture is composed of Linux-based systems that reside in a data center. These systems gzip CSV files from the field and upload via FTP, transform and aggregate them, and place the data in their data warehouse. Because this process takes time, aggregated reports are based on data that is 3 weeks old.
With this data, TerramEarth has been able to preemptively stock replacement parts and reduce unplanned downtime of their vehicles by 60%. However, because the data is stale, some customers are without their vehicles for up to 4 weeks while they wait for replacement parts.

Business Requirements
· Decrease unplanned vehicle downtime to less than 1 week, without increasing the cost of carrying surplus inventory
· Support the dealer network with more data on how their customers use their equipment IP better position new products and services.
· Have the ability to partner with different companies-especially with seed and fertilizer suppliers in the fast-growing agricultural business-to create compelling joint offerings for their customers

CEO Statement
We have been successful in capitalizing on the trend toward larger vehicles to increase the productivity of our customers. Technological change is occurring rapidly and TerramEarth has taken advantage of connected devices technology to provide our customers with better services, such as our intelligent farming equipment. With this technology, we have been able to increase farmers' yields by 25%, by using past trends to adjust how our vehicles operate. These advances have led to the rapid growth of our agricultural product line, which we expect will generate 50% of our revenues by 2020.

CTO Statement
Our competitive advantage has always been in the manufacturing process with our ability to build better vehicles for tower cost than our competitors. However, new products with different approaches are constantly being developed, and I'm concerned that we lack the skills to undergo the next wave of transformations in our industry. Unfortunately, our CEO doesn't take technology obsolescence seriously and he considers the many new companies in our industry to be niche players. My goals are to build our skills while addressing immediate market needs through incremental innovations.

Your agricultural division is experimenting with fully autonomous vehicles. You want your architecture to promote strong security during vehicle operation.
Which two architecture should you consider?
Choose 2 answers:

  1. Treat every micro service call between modules on the vehicle as untrusted.
  2. Require IPv6 for connectivity to ensure a secure address space.
  3. Use a trusted platform module (TPM) and verify firmware and binaries on boot.
  4. Use a functional programming language to isolate code execution cycles.
  5. Use multiple connectivity subsystems for redundancy.
  6. Enclose the vehicle's drive electronics in a Faraday cage to isolate chips.

Answer(s): A,C

Explanation:




Company Overview
JencoMart is a global retailer with over 10,000 stores in 16 countries. The stores carry a range of goods, such as groceries, tires, and jewelry. One of the company's core values is excellent customer service. In addition, they recently introduced an environmental policy to reduce their carbon output by 50% over the next 5 years.

Company Background

JencoMart started as a general store in 1931, and has grown into one of the world's leading brands known for great value and customer service. Over time, the company transitioned from only physical stores to a stores and online hybrid model, with 25% of sales online. Currently, JencoMart has little presence in Asia, but considers that market key for future growth.

Solution Concept
JencoMart wants to migrate several critical applications to the cloud but has not completed a technical review to determine their suitability for the cloud and the engineering required for migration. They currently host all of these applications on infrastructure that is at its end of life and is no longer supported.

Existing Technical Environment
JencoMart hosts all of its applications in 4 data centers: 3 in North American and 1 in Europe, most applications are dual-homed.
JencoMart understands the dependencies and resource usage metrics of their on-premises architecture.

Application Customer loyalty portal
LAMP (Linux, Apache, MySQL and PHP) application served from the two JencoMart-owned U.S. data centers.

Database
· Oracle Database stores user profiles
20 TB
Complex table structure
Well maintained, clean data
Strong backup strategy
· PostgreSQL database stores user credentials
Single-homed in US West
No redundancy
Backed up every 12 hours
100% uptime service level agreement (SLA)
Authenticates all users

Compute
· 30 machines in US West Coast, each machine has:
Twin, dual core CPUs
32GB of RAM
Twin 250 GB HDD (RAID 1)
· 20 machines in US East Coast, each machine has:
Single dual-core CPU
24 GB of RAM
Twin 250 GB HDD (RAID 1)
Storage
· Access to shared 100 TB SAN in each location
· Tape backup every week

Business Requirements

· Optimize for capacity during peak periods and value during off-peak periods
· Guarantee service availably and support
· Reduce on-premises footprint and associated financial and environmental impact.
· Move to outsourcing model to avoid large upfront costs associated with infrastructure purchase
· Expand services into Asia.

Technical Requirements
· Assess key application for cloud suitability.
· Modify application for the cloud.
· Move applications to a new infrastructure.
· Leverage managed services wherever feasible
· Sunset 20% of capacity in existing data centers
· Decrease latency in Asia

CEO Statement
JencoMart will continue to develop personal relationships with our customers as more people access the web. The future of our retail business is in the global market and the connection between online and in-store experiences. As a large global company, we also have a responsibility to the environment through `green' initiatives and polices.

CTO Statement
The challenges of operating data centers prevents focus on key technologies critical to our long-term success. Migrating our data services to a public cloud infrastructure will allow us to focus on big data and machine learning to improve our service customers.

CFO Statement
Since its founding JencoMart has invested heavily in our data services infrastructure. However, because of changing market trends, we need to outsource our infrastructure to ensure our long-term success. This model will allow us to respond to increasing customer demand during peak and reduce costs.

For this question, refer to the JencoMart case study.

The JencoMart security team requires that all Google Cloud Platform infrastructure is deployed using a least privilege model with separation of duties for administration between production and development resources.
What Google domain and project structure should you recommend?

  1. Create two G Suite accounts to manage users: one for development/test/staging and one for production. Each account should contain one project for every application.
  2. Create two G Suite accounts to manage users: one with a single project for all development applications and one with a single project for all production applications.
  3. Create a single G Suite account to manage users with each stage of each application in its own project.
  4. Create a single G Suite account to manage users with one project for the development/test/staging environment and one project for the production environment.

Answer(s): C

Explanation:

Least privilege means tightly scoping access — per project, per environment.
Separation of duties means devs shouldn’t have access to production resources, and this is easier to manage when environments are isolated at the project level.
Using one G Suite (now Google Workspace) account for identity is standard and avoids unnecessary complexity.
Assign IAM roles per project based on the user's role and environment (e.g., devs get access only to dev/test/staging projects).

Note: The principle of least privilege and separation of duties are concepts that, although semantically different, are intrinsically related from the standpoint of security. The intent behind both is to prevent people from having higher privilege levels than they actually need

Principle of Least Privilege: Users should only have the least amount of privileges required to perform their job and no more. This reduces authorization exploitation by limiting access to resources such as targets, jobs, or monitoring templates for which they are not authorized.

Separation of Duties: Beyond limiting user privilege level, you also limit user duties, or the specific jobs they can perform. No user should be given responsibility for more than one related function. This limits the ability of a user to perform a malicious action and then cover up that action.


Reference:

https://cloud.google.com/kms/docs/separation-of-duties




Company Overview
JencoMart is a global retailer with over 10,000 stores in 16 countries. The stores carry a range of goods, such as groceries, tires, and jewelry. One of the company's core values is excellent customer service. In addition, they recently introduced an environmental policy to reduce their carbon output by 50% over the next 5 years.

Company Background

JencoMart started as a general store in 1931, and has grown into one of the world's leading brands known for great value and customer service. Over time, the company transitioned from only physical stores to a stores and online hybrid model, with 25% of sales online. Currently, JencoMart has little presence in Asia, but considers that market key for future growth.

Solution Concept
JencoMart wants to migrate several critical applications to the cloud but has not completed a technical review to determine their suitability for the cloud and the engineering required for migration. They currently host all of these applications on infrastructure that is at its end of life and is no longer supported.

Existing Technical Environment
JencoMart hosts all of its applications in 4 data centers: 3 in North American and 1 in Europe, most applications are dual-homed.
JencoMart understands the dependencies and resource usage metrics of their on-premises architecture.

Application Customer loyalty portal
LAMP (Linux, Apache, MySQL and PHP) application served from the two JencoMart-owned U.S. data centers.

Database
· Oracle Database stores user profiles
20 TB
Complex table structure
Well maintained, clean data
Strong backup strategy
· PostgreSQL database stores user credentials
Single-homed in US West
No redundancy
Backed up every 12 hours
100% uptime service level agreement (SLA)
Authenticates all users

Compute
· 30 machines in US West Coast, each machine has:
Twin, dual core CPUs
32GB of RAM
Twin 250 GB HDD (RAID 1)
· 20 machines in US East Coast, each machine has:
Single dual-core CPU
24 GB of RAM
Twin 250 GB HDD (RAID 1)
Storage
· Access to shared 100 TB SAN in each location
· Tape backup every week

Business Requirements

· Optimize for capacity during peak periods and value during off-peak periods
· Guarantee service availably and support
· Reduce on-premises footprint and associated financial and environmental impact.
· Move to outsourcing model to avoid large upfront costs associated with infrastructure purchase
· Expand services into Asia.

Technical Requirements
· Assess key application for cloud suitability.
· Modify application for the cloud.
· Move applications to a new infrastructure.
· Leverage managed services wherever feasible
· Sunset 20% of capacity in existing data centers
· Decrease latency in Asia

CEO Statement
JencoMart will continue to develop personal relationships with our customers as more people access the web. The future of our retail business is in the global market and the connection between online and in-store experiences. As a large global company, we also have a responsibility to the environment through `green' initiatives and polices.

CTO Statement
The challenges of operating data centers prevents focus on key technologies critical to our long-term success. Migrating our data services to a public cloud infrastructure will allow us to focus on big data and machine learning to improve our service customers.

CFO Statement
Since its founding JencoMart has invested heavily in our data services infrastructure. However, because of changing market trends, we need to outsource our infrastructure to ensure our long-term success. This model will allow us to respond to increasing customer demand during peak and reduce costs.

For this question, refer to the JencoMart case study.

The migration of JencoMart's application to Google Cloud Platform (GCP) is progressing too slowly. The infrastructure is shown in the diagram. You want to maximize throughput.
What are three potential bottlenecks? (Choose 3 answers.)

  1. A single VPN tunnel, which limits throughput
  2. A tier of Google Cloud Storage that is not suited for this task
  3. A copy command that is not suited to operate over long distances
  4. Fewer virtual machines (VMs) in GCP than on-premises machines
  5. A separate storage layer outside the VMs, which is not suited for this task
  6. Complicated internet connectivity between the on-premises infrastructure and GCP

Answer(s): A,D,F




Company Overview
JencoMart is a global retailer with over 10,000 stores in 16 countries. The stores carry a range of goods, such as groceries, tires, and jewelry. One of the company's core values is excellent customer service. In addition, they recently introduced an environmental policy to reduce their carbon output by 50% over the next 5 years.

Company Background

JencoMart started as a general store in 1931, and has grown into one of the world's leading brands known for great value and customer service. Over time, the company transitioned from only physical stores to a stores and online hybrid model, with 25% of sales online. Currently, JencoMart has little presence in Asia, but considers that market key for future growth.

Solution Concept
JencoMart wants to migrate several critical applications to the cloud but has not completed a technical review to determine their suitability for the cloud and the engineering required for migration. They currently host all of these applications on infrastructure that is at its end of life and is no longer supported.

Existing Technical Environment
JencoMart hosts all of its applications in 4 data centers: 3 in North American and 1 in Europe, most applications are dual-homed.
JencoMart understands the dependencies and resource usage metrics of their on-premises architecture.

Application Customer loyalty portal
LAMP (Linux, Apache, MySQL and PHP) application served from the two JencoMart-owned U.S. data centers.

Database
· Oracle Database stores user profiles
20 TB
Complex table structure
Well maintained, clean data
Strong backup strategy
· PostgreSQL database stores user credentials
Single-homed in US West
No redundancy
Backed up every 12 hours
100% uptime service level agreement (SLA)
Authenticates all users

Compute
· 30 machines in US West Coast, each machine has:
Twin, dual core CPUs
32GB of RAM
Twin 250 GB HDD (RAID 1)
· 20 machines in US East Coast, each machine has:
Single dual-core CPU
24 GB of RAM
Twin 250 GB HDD (RAID 1)
Storage
· Access to shared 100 TB SAN in each location
· Tape backup every week

Business Requirements

· Optimize for capacity during peak periods and value during off-peak periods
· Guarantee service availably and support
· Reduce on-premises footprint and associated financial and environmental impact.
· Move to outsourcing model to avoid large upfront costs associated with infrastructure purchase
· Expand services into Asia.

Technical Requirements
· Assess key application for cloud suitability.
· Modify application for the cloud.
· Move applications to a new infrastructure.
· Leverage managed services wherever feasible
· Sunset 20% of capacity in existing data centers
· Decrease latency in Asia

CEO Statement
JencoMart will continue to develop personal relationships with our customers as more people access the web. The future of our retail business is in the global market and the connection between online and in-store experiences. As a large global company, we also have a responsibility to the environment through `green' initiatives and polices.

CTO Statement
The challenges of operating data centers prevents focus on key technologies critical to our long-term success. Migrating our data services to a public cloud infrastructure will allow us to focus on big data and machine learning to improve our service customers.

CFO Statement
Since its founding JencoMart has invested heavily in our data services infrastructure. However, because of changing market trends, we need to outsource our infrastructure to ensure our long-term success. This model will allow us to respond to increasing customer demand during peak and reduce costs.

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

  1. Delete the virtual machine (VM) and disks and create a new one.
  2. Delete the instance, attach the disk to a new VM, and investigate.
  3. Take a snapshot of the disk and connect to a new machine to investigate.
  4. Check inbound firewall rules for the network the machine is connected to.
  5. Connect the machine to another network with very simple firewall rules and investigate.
  6. Print the Serial Console output for the instance for troubleshooting, activate the interactive console, and investigate.

Answer(s): C,D,F

Explanation:

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.


Reference:

https://cloud.google.com/compute/docs/ssh-in-browser https://cloud.google.com/compute/docs/ssh-in-browser



Viewing Page 4 of 57



Share your comments for Google Google Cloud Architect Professional exam with other users:

John 9/16/2023 9:37:00 PM

q6 exam topic: terramearth, c: correct answer: copy 1petabyte to encrypted usb device ???
GERMANY