Ultimate Guide to the Professional-Cloud-Architect – Latest May 29, 2024 Edition Available Now [Q29-Q44]

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Ultimate Guide to the Professional-Cloud-Architect – Latest May 29, 2024 Edition Available Now

2024 Updated Verified Pass Professional-Cloud-Architect Exam – Real Questions and Answers

NO.29 Your company wants you to build a highly reliable web application with a few public APIs as the backend. You don’t expect a lot of user traffic, but traffic could spike occasionally. You want to leverage Cloud Load Balancing, and the solution must be cost-effective for users. What should you do?

Store static content such as HTML and images in Cloud CDN. Host the APIs on App Engine and store the user data in Cloud SQL.

Store static content such as HTML and images in a Cloud Storage bucket. Host the APIs on a zonal Google Kubernetes Engine cluster with worker nodes in multiple zones, and save the user data in Cloud Spanner.

Store static content such as HTML and images in Cloud CDN. Use Cloud Run to host the APIs and save the user data in Cloud SQL.

Store static content such as HTML and images in a Cloud Storage bucket. Use Cloud Functions to host the APIs and save the user data in Firestore.

NO.30 You have an outage in your Compute Engine managed instance group: all instance keep restarting after 5 seconds. You have a health check configured, but autoscaling is disabled. Your colleague, who is a Linux expert, offered to look into the issue. You need to make sure that he can access the VMs. What should you do?

Grant your colleague the IAM role of project Viewer

Perform a rolling restart on the instance group

Disable the health check for the instance group. Add his SSH key to the project-wide SSH keys

Disable autoscaling for the instance group. Add his SSH key to the project-wide SSH Keys

Reference:
https://cloud.google.com/compute/docs/instance-groups/autohealing-instances-in-migs Health checks used for autohealing should be conservative so they don’t preemptively delete and recreate your instances. When an autohealer health check is too aggressive, the autohealer might mistake busy instances for failed instances and unnecessarily restart them, reducing availability

NO.31 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?

Use one Google Container Engine cluster of FTP servers. Save the data to a Multi-Regional bucket. Run the ETL process using data in the bucket.

Use multiple Google Container Engine clusters running FTP servers located in different regions. Save the data to Multi-Regional buckets in us, eu, and asia. Run the ETL process using the data in the bucket.

Directly transfer the files to different Google Cloud Multi-Regional Storage bucket locations in us, eu, and asia using Google APIs over HTTP(S). Run the ETL process using the data in the bucket.

Directly transfer the files to a different Google Cloud Regional Storage bucket location in us, eu, and asia using Google APIs over HTTP(S). Run the ETL process to retrieve the data from each Regional bucket.

https://cloud.google.com/storage/docs/locations
Topic 4, JencoMart
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
o No redundancy
o Backed up every 12 hours
100% uptime service level agreement (SLA)
Authenticates all users
Compute
* 30 machines in US West Coast, each machine has:
o Twin, dual core CPUs
o 32GB of RAM
Twin 250 GB HDD (RAID 1)
* 20 machines in US East Coast, each machine has:
o Single dual-core CPU
o 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.

NO.32 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?

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

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

Create a single G Suite account to manage users with each stage of each application in its own project

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

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.
References: https://cloud.google.com/kms/docs/separation-of-duties
Professional Cloud Architect
Number: GoogleCloudArchitect
Passing Score: 800
Time Limit: 120 min
File Version: 1
Professional Cloud Architect
JencoMart
Testlet 1
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
– 32 GB 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 availability 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 applications 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 policies.
CTO Statement
The challenges of operating data centers prevent 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 to 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 periods and reduce costs.

NO.33 The development team has provided you with a Kubernetes Deployment file. You have no infrastructure yet and need to deploy the application. What should you do?

Use gcloud to create a Kubernetes cluster. Use Deployment Manager to create the deployment.

Use gcloud to create a Kubernetes cluster. Use kubect1 to create the deployment.

Use kubect1 to create a Kubernetes cluster. Use Deployment Manager to create the deployment.

Use kubect1 to create a Kubernetes cluster. Use kubect1 to create the deployment.

Explanation
https://cloud.google.com/kubernetes-engine/docs/how-to/creating-a-cluster

NO.34 For this question, refer to the TerramEarth case study. You need to implement a reliable, scalable GCP solution for the data warehouse for your company, TerramEarth.
Considering the TerramEarth business and technical requirements, what should you do?

Replace the existing data warehouse with BigQuery. Use table partitioning.

Replace the existing data warehouse with a Compute Engine instance with 96 CPUs.

Replace the existing data warehouse with BigQuery. Use federated data sources.

Replace the existing data warehouse with a Compute Engine instance with 96 CPUs. Add an additional Compute Engine preemptible instance with 32 CPUs.

NO.35 For this question, refer to the Mountkirk Games case study. Mountkirk Games wants you to design a way to test the analytics platform’s resilience to changes in mobile network latency. What should you do?

Deploy failure injection software to the game analytics platform that can inject additional latency to mobile client analytics traffic.

Build a test client that can be run from a mobile phone emulator on a Compute Engine virtual machine, and run multiple copies in Google Cloud Platform regions all over the world to generate realistic traffic.

Add the ability to introduce a random amount of delay before beginning to process analytics files uploaded from mobile devices.

Create an opt-in beta of the game that runs on players’ mobile devices and collects response times from analytics endpoints running in Google Cloud Platform regions all over the world.

Topic 8, Mountkrik Games Case 3
Company overview
Mountkirk Games makes online, session-based, multiplayer games for mobile platforms. They have recently started expanding to other platforms after successfully migrating their on-premises environments to Google Cloud.
Their most recent endeavor is to create a retro-style first-person shooter (FPS) game that allows hundreds of simultaneous players to join a geo-specific digital arena from multiple platforms and locations. A real-time digital banner will display a global leaderboard of all the top players across every active arena.
Solution concept
Mountkirk Games is building a new multiplayer game that they expect to be very popular. They plan to deploy the game’s backend on Google Kubernetes Engine so they can scale rapidly and use Google’s global load balancer to route players to the closest regional game arenas. In order to keep the global leader board in sync, they plan to use a multi-region Spanner cluster.
Existing technical environment
The existing environment was recently migrated to Google Cloud, and five games came across using lift-and-shift virtual machine migrations, with a few minor exceptions. Each new game exists in an isolated Google Cloud project nested below a folder that maintains most of the permissions and network policies. Legacy games with low traffic have been consolidated into a single project. There are also separate environments for development and testing.
Business requirements
Support multiple gaming platforms.
Support multiple regions.
Support rapid iteration of game features.
Minimize latency.
Optimize for dynamic scaling.
Use managed services and pooled resources.
Minimize costs.
Technical requirements
Dynamically scale based on game activity.
Publish scoring data on a near real-time global leaderboard.
Store game activity logs in structured files for future analysis.
Use GPU processing to render graphics server-side for multi-platform support.
Support eventual migration of legacy games to this new platform.
Executive statement
Our last game was the first time we used Google Cloud, and it was a tremendous success. We were able to analyze player behavior and game telemetry in ways that we never could before. This success allowed us to bet on a full migration to the cloud and to start building all-new games using cloud-native design principles. Our new game is our most ambitious to date and will open up doors for us to support more gaming platforms beyond mobile. Latency is our top priority, although cost management is the next most important challenge. As with our first cloud-based game, we have grown to expect the cloud to enable advanced analytics capabilities so we can rapidly iterate on our deployments of bug fixes and new functionality.

NO.36 You are building a continuous deployment pipeline for a project stored in a Git source repository and want to ensure that code changes can be verified deploying to production. What should you do?

Use Spinnaker to deploy builds to production using the red/black deployment strategy so that changes can easily be rolled back.

Use Spinnaker to deploy builds to production and run tests on production deployments.

Use Jenkins to build the staging branches and the master branch. Build and deploy changes to production for 10% of users before doing a complete rollout.

Use Jenkins to monitor tags in the repository. Deploy staging tags to a staging environment for testing.
After testing, tag the repository for production and deploy that to the production environment.

Reference: https://github.com/GoogleCloudPlatform/continuous-deployment-on-kubernetes/blob/master/ README.md

NO.37 Your company is moving 75 TB of data into Google Cloud. You want to use Cloud Storage and follow Googlerecommended practices. What should you do?

Move your data onto a Transfer Appliance. Use a Transfer Appliance Rehydrator to decrypt the data into Cloud Storage.

Move your data onto a Transfer Appliance. Use Cloud Dataprep to decrypt the data into Cloud Storage.

Install gsutil on each server that contains data. Use resumable transfers to upload the data into Cloud Storage.

Install gsutil on each server containing data. Use streaming transfers to upload the data into Cloud Storage.

Explanation
https://cloud.google.com/transfer-appliance/docs/2.0/faq

NO.38 To reduce costs, the Director of Engineering has required all developers to move their development infrastructure resources from on-premises virtual machines (VMs) to Google Cloud Platform. These resources go through multiple start/stop events during the day and require state to persist. You have been asked to design the process of running a development environment in Google Cloud while providing cost visibility to the finance department. Which two steps should you take? Choose 2 answers

Use the –no-auto-delete flag on all persistent disks and stop the VM.

Use the -auto-delete flag on all persistent disks and terminate the VM.

Apply VM CPU utilization label and include it in the BigQuery billing export.

Use Google BigQuery billing export and labels to associate cost to groups.

Store all state into local SSD, snapshot the persistent disks, and terminate the VM.

Store all state in Google Cloud Storage, snapshot the persistent disks, and terminate the VM.

Explanation
https://cloud.google.com/billing/docs/how-to/export-data-bigquery
Team or cost center labels: Add labels based on team or cost center to distinguish instances owned by different teams (for example, team:research and team:analytics). You can use this type of label for cost accounting or budgeting.
https://cloud.google.com/resource-manager/docs/creating-managing-labels

NO.39 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?

Use Cloud SQL for time series data, and use Cloud Bigtable for historical data queries.

Use Cloud SQL to replace MySQL, and use Cloud Spanner for historical data queries.

Use Cloud Bigtable to replace MySQL, and use BigQuery for historical data queries.

Use Cloud Bigtable for time series data, use Cloud Spanner for transactional data, and use BigQuery for historical data queries.

Explanation
“Mountkirk Games is building a new game, which they expect to be very popular. They plan to deploy the game’s backend on 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”

NO.40 You need to ensure reliability for your application and operations by supporting reliable task a scheduling for compute on GCP. Leveraging Google best practices, what should you do?

Using the Cron service provided by App Engine, publishing messages directly to a message- processing utility service running on Compute Engine instances.

Using the Cron service provided by App Engine, publish messages to a Cloud Pub/Sub topic.
Subscribe to that topic using a message-processing utility service running on Compute Engine instances.

Using the Cron service provided by Google Kubernetes Engine (GKE), publish messages directly to a message-processing utility service running on Compute Engine instances.

Using the Cron service provided by GKE, publish messages to a Cloud Pub/Sub topic. Subscribe to that topic using a message-processing utility service running on Compute Engine instances.

NO.41 You want to automate the creation of a managed instance group and a startup script to install the OS package dependencies. You want to minimize the startup time for VMs in the instance group.
What should you do?

Use Terraform to create the managed instance group and a startup script to install the OS package dependencies.

Create a custom VM image with all OS package dependencies. Use Deployment Manager to create the managed instance group with the VM image.

Use Puppet to create the managed instance group and install the OS package dependencies.

Use Deployment Manager to create the managed instance group and Ansible to install the OS package dependencies.

Reference:
“Custom images are more deterministic and start more quickly than instances with startup scripts. However, startup scripts are more flexible and let you update the apps and settings in your instances more easily.” https://cloud.google.com/compute/docs/instance-templates/create-instance-templates#using_custom_or_public_images_in_your_instance_templates

NO.42 You have developed an application using Cloud ML Engine that recognizes famous paintings from uploaded images. You want to test the application and allow specific people to upload images for the next 24 hours. Not all users have a Google Account. How should you have users upload images?

Have users upload the images to Cloud Storage. Protect the bucket with a password that expires after 24 hours.

Have users upload the images to Cloud Storage using a signed URL that expires after 24 hours.

Create an App Engine web application where users can upload images. Configure App Engine to disable the application after 24 hours. Authenticate users via Cloud Identity.

Create an App Engine web application where users can upload images for the next 24 hours.Authenticate users via Cloud Identity.

Explanation
https://cloud.google.com/blog/products/storage-data-transfer/uploading-images-directly-to-cloud-storage-by-usin

NO.43 You are deploying a PHP App Engine Standard service with SQL as the backend. You want to minimize the number of queries to the database.
What should you do?

Set the memcache service level to dedicated. Create a key from the hash of the query, and return database values from memcache before issuing a query to Cloud SQL.

Set the memcache service level to dedicated. Create a cron task that runs every minute to populate the cache with keys containing query results.

Set the memcache service level to shared. Create a cron task that runs every minute to save all expected queries to a key called “cached-queries”.

Set the memcache service level to shared. Create a key called “cached-queries”, and return database values from the key before using a query to Cloud SQL.

https://cloud.google.com/appengine/docs/standard/php/memcache/using

NO.44 TerramEarth has a legacy web application that you cannot migrate to cloud. However, you still want to build a cloud-native way to monitor the application. If the application goes down, you want the URL to point to a “Site is unavailable” page as soon as possible. You also want your Ops team to receive a notification for the issue. You need to build a reliable solution for minimum cost What should you do?

Create a scheduled job in Cloud Run to invoke a container every minute. The container will check the application URL If the application is down, switch the URL to the “Site is unavailable” page, and notify the Ops team.

Create a cron job on a Compute Engine VM that runs every minute. The cron job invokes a Python program to check the application URL If the application is down, switch the URL to the “Site is unavailable” page, and notify the Ops team.

Create a Cloud Monitoring uptime check to validate the application URL If it fails, put a message in a Pub/Sub queue that triggers a Cloud Function to switch the URL to the “Site is unavailable” page, and notify the Ops team.

Use Cloud Error Reporting to check the application URL If the application is down, switch the URL to the “Site is unavailable” page, and notify the Ops team.

https://cloud.google.com/blog/products/management-tools/how-to-use-pubsub-as-a-cloud-monitoring-notification-channel

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To become a Google Certified Professional – Cloud Architect (GCP), a candidate must pass the Professional-Cloud-Architect certification exam. Professional-Cloud-Architect exam consists of multiple-choice and scenario-based questions that test the candidate’s ability to design, manage, and secure cloud solutions on GCP. Professional-Cloud-Architect exam is proctored and can be taken online or at a testing center.

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