Professional-Cloud-Architect Dumps By Pros - 1st Attempt Guaranteed Success [Q146-Q169]

July 14, 2025 Professional-Cloud-Architect, Google 0 Comments

Professional-Cloud-Architect Dumps By Pros – 1st Attempt Guaranteed Success [Q146-Q169]

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Professional-Cloud-Architect Dumps By Pros – 1st Attempt Guaranteed Success

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The Google Professional Cloud Architect certification exam equips the individuals with the skills required to help enterprises apply Google Cloud technologies.

Google Professional-Cloud-Architect certification exam is a challenging exam that requires a deep understanding of cloud computing and the ability to design and manage complex cloud solutions. However, achieving this certification can help professionals advance their careers, increase their earning potential, and demonstrate their expertise in cloud computing. With the increasing demand for cloud computing professionals, the Google Professional-Cloud-Architect certification is becoming an essential credential for professionals looking to advance their careers in this field.

NEW QUESTION 146
Your web application must comply with the requirements of the European Union’s General Data Protection Regulation (GDPR). You are responsible for the technical architecture of your web application. What should you do?

Ensure that your web application only uses native features and services of Google Cloud Platform, because Google already has various certifications and provides “pass-on” compliance when you use native features.

Enable the relevant GDPR compliance setting within the GCPConsole for each of the services in use within your application.

Ensure that Cloud Security Scanner is part of your test planning strategy in order to pick up any compliance gaps.

Define a design for the security of data in your web application that meets GDPR requirements.

NEW QUESTION 147
Your company’s user-feedback portal comprises a standard LAMP stack replicated across two zones. It is deployed in the us-central1 region and uses autoscaled managed instance groups on all layers, except the database. Currently, only a small group of select customers have access to the portal. The portal meets a 99,99% availability SLA under these conditions. However next quarter, your company will be making the portal available to all users, including unauthenticated users. You need to develop a resiliency testing strategy to ensure the system maintains the SLA once they introduce additional user load.
What should you do?

Capture existing users input, and replay captured user load until autoscale is triggered on all layers. At the same time, terminate all resources in one of the zones

Create synthetic random user input, replay synthetic load until autoscale logic is triggered on at least one layer, and introduce “chaos” to the system by terminating random resources on both zones

Expose the new system to a larger group of users, and increase group size each day until autoscale logic is triggered on all layers. At the same time, terminate random resources on both zones

Capture existing users input, and replay captured user load until resource utilization crosses 80%.
Also, derive estimated number of users based on existing user’s usage of the app, and deploy enough resources to handle 200% of expected load

NEW QUESTION 148
A lead engineer wrote a custom tool that deploys virtual machines in the legacy data center. He wants to migrate the custom tool to the new cloud environment You want to advocate for the adoption of Google Cloud Deployment Manager What are two business risks of migrating to Cloud Deployment Manager? Choose 2 answers

Cloud Deployment Manager uses Python.

Cloud Deployment Manager APIs could be deprecated in the future.

Cloud Deployment Manager is unfamiliar to the company’s engineers.

Cloud Deployment Manager requires a Google APIs service account to run.

Cloud Deployment Manager can be used to permanently delete cloud resources.

Cloud Deployment Manager only supports automation of Google Cloud resources.

NEW QUESTION 149
Your company is planning to migrate their Windows Server 2022 from their on-premises data center to Google Cloud. You need to bring the licenses that are currently in use in on-premises virtual machines into the target cloud environment. What should you do?

1. Create an image of the on-premises virtual machines and upload into Cloud Storage.
2. Import the image as a virtual disk on Compute Engine.

1. Create standard instances on Compute Engine.
2. Select as the OS the same Microsoft Windows version that is currently in use in the on-premises environment.

1. Create an image of the on-premises virtual machine.
2. Import the image as a virtual disk on Compute Engine.
3. Create a standard instance on Compute Engine, selecting as the OS the same Microsoft Windows version that is currently in use in the on-premises environment.
4. Attach a data disk that includes data that matches the created image.

1. Create an image of the on-premises virtual machines.
2. Import the image as a virtual disk on Compute Engine using –os=windows-2022-dc-v.
3. Create a sole-tenancy instance on Compute Engine that uses the imported disk as a boot disk.

NEW QUESTION 150
You need to design a solution for global load balancing based on the URL path being requested. You need to ensure operations reliability and end-to-end in-transit encryption based on Google best practices.
What should you do?

Create a cross-region load balancer with URL Maps.

Create an HTTPS load balancer with URL maps.

Create appropriate instance groups and instances. Configure SSL proxy load balancing.

Create a global forwarding rule. Configure SSL proxy balancing.

NEW QUESTION 151
For this question, refer to the TerramEarth case study. You are asked to design a new architecture for the ingestion of the data of the 200,000 vehicles that are connected to a cellular network. You want to follow Google-recommended practices.
Considering the technical requirements, which components should you use for the ingestion of the data?

Google Kubernetes Engine with an SSL Ingress

Cloud IoT Core with public/private key pairs

Compute Engine with project-wide SSH keys

Compute Engine with specific SSH keys

NEW QUESTION 152
For this question, refer to the JencoMart case study.
JencoMart has built a version of their application on Google Cloud Platform that serves traffic to Asia. You want to measure success against their business and technical goals. Which metrics should you track?

Error rates for requests from Asia

Latency difference between US and Asia

Total visits, error rates, and latency from Asia

Total visits and average latency for users in Asia

The number of character sets present in the database

NEW QUESTION 153
Your company and one of its partners each nave a Google Cloud protect in separate organizations. Your company s protect (prj-a) runs in Virtual Private Cloud (vpc-a). The partner’s project (prj-b) runs in vpc-b.
There are two instances running on vpc-a and one instance running on vpc-b Subnets denned in both VPCs are not overlapping. You need to ensure that all instances communicate with each other via internal IPs minimizing latency and maximizing throughput. What should you do?

Set up a network peering between vpc-a and vpc-b

Set up a VPN between vpc-a and vpc-b using Cloud VPN

Configure IAP TCP forwarding on the instance in vpc b and then launch the following gcloud command from one of the instance in vpc-gcloud:

1. Create an additional instance in vpc-a
2. Create an additional instance n vpc-b
3. Instal OpenVPN in newly created instances
4. Configure a VPN tunnel between vpc-a and vpc-b with the help of OpenVPN

NEW QUESTION 154
Your company wants to start using Google Cloud resources but wants to retain their on-premises Active Directory domain controller for identity management. What should you do?

Use the Admin Directory API to authenticate against the Active Directory domain controller.

Use Google Cloud Directory Sync to synchronize Active Directory usernames with cloud identities and configure SAML SSO.

Use Cloud Identity-Aware Proxy configured to use the on-premises Active Directory domain controller as an identity provider.

Use Compute Engine to create an Active Directory (AD) domain controller that is a replica of the onpremises AD domain controller using Google Cloud Directory Sync.

NEW QUESTION 155
Your solution is producing performance bugs in production that you did not see in staging and test environments. You want to adjust your test and deployment procedures to avoid this problem in the future. What should you do?

Deploy fewer changes to production.

Deploy smaller changes to production.

Increase the load on your test and staging environments.

Deploy changes to a small subset of users before rolling out to production.

NEW QUESTION 156
You have an application that runs in Google Kubernetes Engine (GKE). Over the last 2 weeks, customers have reported that a specific part of the application returns errors very frequently. You currently have no logging or monitoring solution enabled on your GKE cluster. You want to diagnose the problem, but you have not been able to replicate the issue. You want to cause minimal disruption to the application. What should you do?

1. Update your GKE cluster to use Cloud Operations for GKE.
2. Use the GKE Monitoring dashboard to investigate logs from affected Pods.

1. Create a new GKE cluster with Cloud Operations for GKE enabled.
2.Migrate the affected Pods to the new cluster, and redirect traffic for those Pods to the new cluster.
3.Use the GKE Monitoring dashboard to investigate logs from affected Pods.

1. Update your GKE cluster to use Cloud Operations for GKE, and deploy Prometheus.
2. Set an alert to trigger whenever the application returns an error.

1. Create a new GKE cluster with Cloud Operations for GKE enabled, and deploy Prometheus.
2.Migrate the affected Pods to the new cluster, and redirect traffic for those Pods to the new cluster.
3.Set an alert to trigger whenever the application returns an error.

NEW QUESTION 157
Your company has a project in Google Cloud with three Virtual Private Clouds (VPCs). There is a Compute Engine instance on each VPC. Network subnets do not overlap and must remain separated. The network configuration is shown below.

Instance #1 is an exception and must communicate directly with both Instance #2 and Instance #3 via internal IPs. How should you accomplish this?

Create a cloud router to advertise subnet #2 and subnet #3 to subnet #1.

Add two additional NICs to Instance #1 with the following configuration:
*NIC1
VPC: VPC #2
SUBNETWORK: subnet #2
*NIC2
VPC: VPC #3
SUBNETWORK: subnet #3
Update firewall rules to enable traffic between instances.

Create two VPN tunnels via CloudVPN:
*1 between VPC #1 and VPC #2.
*1 between VPC #2 and VPC #3.
Update firewall rules to enable traffic between the instances.

Peer all three VPCs:
*Peer VPC #1 with VPC #2.
*Peer VPC #2 with VPC #3.
Update firewall rules to enable traffic between the instances.

NEW QUESTION 158
For this question, refer to the TerramEarth case study. Considering the technical requirements, how should you reduce the unplanned vehicle downtime in GCP?

Use BigQuery as the data warehouse. Connect all vehicles to the network and stream data into BigQuery using Cloud Pub/Sub and Cloud Dataflow. Use Google Data Studio for analysis and reporting.

Use BigQuery as the data warehouse. Connect all vehicles to the network and upload gzip files to a Multi-Regional Cloud Storage bucket using gcloud. Use Google Data Studio for analysis and reporting.

Use Cloud Dataproc Hive as the data warehouse. Upload gzip files to a MultiRegional Cloud Storage bucket. Upload this data into BigQuery using gcloud. Use Google data Studio for analysis and reporting.

Use Cloud Dataproc Hive as the data warehouse. Directly stream data into prtitioned Hive tables. Use Pig scripts to analyze data.

NEW QUESTION 159
Your BigQuery project has several users. For audit purposes, you need to see how many queries each user ran in the last month. What should you do?

Connect Google Data Studio to BigQuery. Create a dimension for the users and a metric for the amount of queries per user.

In the BigQuery interface, execute a query on the JOBS table to get the required information.

Use ‘bq show’ to list all jobs. Per job, use ‘bq Is’ to list job information and get the required information.

Use Cloud Audit Logging to view Cloud Audit Logs, and create a filter on the query operation to get the required information.

NEW QUESTION 160
You are designing an application for use only during business hours. For the minimum viable product release, you’d like to use a managed product that automatically “scales to zero” so you don’t incur costs when there is no activity.
Which primary compute resource should you choose?

Cloud Functions

Compute Engine

Google Kubernetes Engine

AppEngine flexible environment

NEW QUESTION 161
You have an application that makes HTTP requests to Cloud Storage. Occasionally the requests fail with
HTTP status codes of 5xx and 429.
How should you handle these types of errors?

Use gRPC instead of HTTP for better performance.

Implement retry logic using a truncated exponential backoff strategy.

Make sure the Cloud Storage bucket is multi-regional for geo-redundancy.

Monitor https://status.cloud.google.com/feed.atom and only make requests if Cloud Storage is not
reporting an incident.

NEW QUESTION 162
For this question, refer to the Dress4Win case study. You want to ensure that your on-premises architecture meets business requirements before you migrate your solution.
What change in the on-premises architecture should you make?

Replace RabbitMQ with Google Pub/Sub.

Downgrade MySQL to v5.7, which is supported by Cloud SQL for MySQL.

Resize compute resources to match predefined Compute Engine machine types.

Containerize the micro-services and host them in Google Kubernetes Engine.

NEW QUESTION 163
Your company captures all web traffic data in Google Analytics 260 and stores it in BigQuery.
Each country has its own dataset. Each dataset has multiple tables. You want analysts from each country to be able to see and query only the data for their respective countries.
How should you configure the access rights?

Create a group per country. Add analysts to their respective country-groups. Create a single group
`all_analysts’, and add all country-groups as members. Grant the `all-analysis’ group the IAM role of BigQuery jobUser. Share the appropriate dataset with view access with each respective analyst country-group.

Create a group per country. Add analysts to their respective country-groups. Create a single group
`all_analysts’, and add all country-groups as members. Grant the `all-analysis’ group the IAM role of BigQuery jobUser. Share the appropriate tables with view access with each respective analyst country- group.

Create a group per country. Add analysts to their respective country-groups. Create a single group
`all_analysts’, and add all country-groups as members. Grant the `all-analysis’ group the IAM role of BigQuery dataViewer. Share the appropriate dataset with view access with each respective analyst country-group.

Create a group per country. Add analysts to their respective country-groups. Create a single group
`all_analysts’, and add all country-groups as members. Grant the `all-analysis’ group the IAM role of BigQuery dataViewer. Share the appropriate table with view access with each respective analyst country-group.

NEW QUESTION 164
For this question, refer to the Dress4Win case study.
You want to ensure Dress4Win’s sales and tax records remain available for infrequent viewing by auditors for at least 10 years. Cost optimization is your top priority. Which cloud services should you choose?

Google Cloud Storage Coldline to store the data, and gsutil to access the data.

Google Cloud Storage Nearline to store the data, and gsutil to access the data.

Google Bigtabte with US or EU as location to store the data, and gcloud to access the data.

BigQuery to store the data, and a web server cluster in a managed instance group to access the data.
Google Cloud SQL mirrored across two distinct regions to store the data, and a Redis cluster in a managed instance group to access the data.

NEW QUESTION 165
JencoMart wants to move their User Profiles database to Google Cloud Platform.
Which Google Database should they use?

Cloud Spanner

Google BigQuery

Google Cloud SQL

Google Cloud Datastore

NEW QUESTION 166
Your company just finished a rapid lift and shift to Google Compute Engine for your compute needs. You have another 9 months to design and deploy a more cloud-native solution.
Specifically, you want a system that is no-ops and auto-scaling. Which two compute products should you choose? Choose 2 answers

Compute Engine with containers

Google Container Engine with containers

Google App Engine Standard Environment

Compute Engine with custom instance types

Compute Engine with managed instance groups

NEW QUESTION 167
You are moving an application that uses MySQL from on-premises to Google Cloud. The application will run on Compute Engine and will use Cloud SQL. You want to cut over to the Compute Engine deployment of the application with minimal downtime and no data loss to your customers. You want to migrate the application with minimal modification. You also need to determine the cutover strategy. What should you do?

1. Set up Cloud VPN to provide private network connectivity between the Compute Engine application and the on-premises MySQL server.
2.Stop the on-premises application.
3.Create a mysqldump of the on-premises MySQL server.
4.Upload the dump to a Cloud Storage bucket.
5.Import the dump into Cloud SQL.
6.Modify the source code of the application to write queries to both databases and read from its local database.
7.Start the Compute Engine application.
8.Stop the on-premises application.

1. Set up Cloud SQL proxy and MySQL proxy.
2.Create a mysqldump of the on-premises MySQL server.
3.Upload the dump to a Cloud Storage bucket.
4.Import the dump into Cloud SQL.
5.Stop the on-premises application.
6.Start the Compute Engine application.

1. Set up Cloud VPN to provide private network connectivity between the Compute Engine application and the on-premises MySQL server.
2.Stop the on-premises application.
3.Start the Compute Engine application, configured to read and write to the on-premises MySQL server.
4.Create the replication configuration in Cloud SQL.
5.Configure the source database server to accept connections from the Cloud SQL replica.
6.Finalize the Cloud SQL replica configuration.
7.When replication has been completed, stop the Compute Engine application.
8.Promote the Cloud SQL replica to a standalone instance.
9.Restart the Compute Engine application, configured to read and write to the Cloud SQL standalone instance.

1. Stop the on-premises application.
2.Create a mysqldump of the on-premises MySQL server.
3.Upload the dump to a Cloud Storage bucket.
4.Import the dump into Cloud SQL.
5.Start the application on Compute Engine.

NEW QUESTION 168
Case Study: 4 – Dress4Win
Company Overview
Dress4win is a web-based company that helps their users organize and manage their personal wardrobe using a website and mobile application. The company also cultivates an active social network that connects their users with designers and retailers. They monetize their services through advertising, e-commerce, referrals, and a freemium app model.
Company Background
Dress4win’s application has grown from a few servers in the founder’s garage to several hundred servers and appliances in a colocated data center. However, the capacity of their infrastructure is now insufficient for the application’s rapid growth. Because of this growth and the company’s desire to innovate faster, Dress4win is committing to a full migration to a public cloud.
Solution Concept
For the first phase of their migration to the cloud, Dress4win is considering moving their development and test environments. They are also considering building a disaster recovery site, because their current infrastructure is at a single location. They are not sure which components of their architecture they can migrate as is and which components they need to change before migrating them.
Existing Technical Environment
The Dress4win application is served out of a single data center location.
Databases:
MySQL – user data, inventory, static data

Redis – metadata, social graph, caching

Application servers:
Tomcat – Java micro-services

Nginx – static content

Apache Beam – Batch processing

Storage appliances:
iSCSI for VM hosts

Fiber channel SAN – MySQL databases

NAS – image storage, logs, backups

Apache Hadoop/Spark servers:
Data analysis

Real-time trending calculations

MQ servers:
Messaging

Social notifications

Events

Miscellaneous servers:
Jenkins, monitoring, bastion hosts, security scanners

Business Requirements

Build a reliable and reproducible environment with scaled parity of production. Improve security by defining and adhering to a set of security and Identity and Access Management (IAM) best practices for cloud.
Improve business agility and speed of innovation through rapid provisioning of new resources.
Analyze and optimize architecture for performance in the cloud. Migrate fully to the cloud if all other requirements are met.
Technical Requirements
Evaluate and choose an automation framework for provisioning resources in cloud. Support failover of the production environment to cloud during an emergency. Identify production services that can migrate to cloud to save capacity.
Use managed services whenever possible.
Encrypt data on the wire and at rest.
Support multiple VPN connections between the production data center and cloud environment.
CEO Statement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They are also concerned that a new competitor could use a public cloud platform to offset their up-front investment and freeing them to focus on developing better features.
CTO Statement
We have invested heavily in the current infrastructure, but much of the equipment is approaching the end of its useful life. We are consistently waiting weeks for new gear to be racked before we can start new projects. Our traffic patterns are highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
CFO Statement
Our capital expenditure is now exceeding our quarterly projections. Migrating to the cloud will likely cause an initial increase in spending, but we expect to fully transition before our next hardware refresh cycle. Our total cost of ownership (TCO) analysis over the next 5 years puts a cloud strategy between 30 to 50% lower than our current model.
The current Dress4win system architecture has high latency to some customers because it is located in one data center.
As of a future evaluation and optimizing for performance in the cloud, Dresss4win wants to distribute its system architecture to multiple locations when Google cloud platform.
Which approach should they use?

Use regional managed instance groups and a global load balancer to increase performance because the regional managed instance group can grow instances in each region separately based on traffic.

Use a global load balancer with a set of virtual machines that forward the requests to a closer group of virtual machines managed by your operations team.

Use regional managed instance groups and a global load balancer to increase reliability by providing automatic failover between zones in different regions.

Use a global load balancer with a set of virtual machines that forward the requests to a closer group of virtual machines as part of a separate managed instance groups.

NEW QUESTION 169
Your company is migrating its on-premises data center into the cloud. As part of the migration, you want to integrate Kubernetes Engine for workload orchestration. Parts of your architecture must also be PCI DSScompliant.
Which of the following is most accurate?

App Engine is the only compute platform on GCP that is certified for PCI DSS hosting.

Kubernetes Engine cannot be used under PCI DSS because it is considered shared hosting.

Kubernetes Engine and GCP provide the tools you need to build a PCI DSS-compliant environment.

All Google Cloud services are usable because Google Cloud Platform is certified PCI-compliant.

Before attending the exam for the Google Professional Cloud Architect certification, the individuals need to develop a good comprehension of its topics. The syllabus of the test is divided into five sections, each including several subtopics. The detailed outline of the exam domains can be viewed on the vendor’s website. A brief overview of the content is provided below:

Implementation Management
The aim of this module is to evaluate the ability of the individuals to advise operation or development team(s) to ensure the successful deployment of the solution. This includes application development, API best practices, testing frameworks, as well as data & system migration and management tooling. The examinees should also be capable of interacting with Google Cloud programmatically. This requires their understanding of Google Cloud Shell, Google Cloud SDK, and Cloud Emulators.
Analysis & Optimization of Technical & Business Processes
Within this subject area, the students need to demonstrate their proficiency in analyzing and determining technical as well as business processes. It also requires their skills in developing procedures to guarantee the reliability of solutions in production.
Ensuring of Solution & Operations Reliability
To tackle the questions related to the last domain, the applicants are required to be conversant with monitoring/logging/profiling/alerting solutions. They should know how to perform deployment & release management as well as evaluate quality control measures. IN addition, the specialists must be able to assist with the support of deployed solutions.
Security & Compliance Design
The examinees will be evaluated based on their competency in designing for security, including such considerations as identity & access management (IAM), resource hierarchy, data security, separation of duties (SoD), security controls, remote access, as well as managing customer-managed encryption keys using Cloud Key Management Service. Another subtopic covered in this section is designing for compliance. This involves the knowledge of legislation, commercial, industry certifications, as well as audits.
Management & Provisioning of Solution Infrastructure
In the framework of this topic, the test takers will be asked to showcase their ability to configure network topologies, individual storage systems, as well as compute systems.

During the exam for the Google Professional Cloud Architect certification, some of the questions will refer you to a case study describing a fictitious business & solution concept. These case studies are designed to provide the students with additional context to help them choose the right answer(s). The candidates can review the examples of possible case studies in the official guide.

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