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Google Professional-Cloud-Architect Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Google Cloud Certified Professional Cloud Architect Exam
Exam Number:	Professional Cloud Architect
Exam Format:	Multiple select, Case study-based questions, Multiple choice
Available Languages:	Portuguese, Spanish, English, French, Japanese
Real Exam Qty:	Approximately 50–60 questions
Passing Score:	Not publicly disclosed (scaled score; commonly reported passing threshold ~70%)
Exam Price:	$200 USD
Certificate Validity Period:	2 years
Related Certifications:	Google Cloud Professional Cloud Security Engineer Google Cloud Associate Cloud Engineer Google Cloud Professional Data Engineer Google Cloud Professional Cloud Network Engineer Google Cloud Digital Leader Google Cloud Professional Cloud Developer
Exam Duration:	120 minutes
Recommended Training:	Google Cloud Skills Boost - Cloud Architect Learning Path Coursera Google Cloud Professional Cloud Architect Training
Exam Registration:	Professional Cloud Architect Exam Page Google Cloud Certification Portal
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

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Google Professional-Cloud-Architect Certification is designed for individuals who are seeking to demonstrate their expertise in designing, developing, and managing robust, secure, scalable, and highly available cloud solutions using Google Cloud Platform (GCP). Google Certified Professional - Cloud Architect (GCP) certification exam is ideal for cloud architects, solution architects, and IT professionals who work with GCP on a regular basis.

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q343-Q348):

NEW QUESTION # 343
Dress4Win has end-to-end tests covering 100% of their endpoints.
They want to ensure that the move to the cloud does not introduce any new bugs.
Which additional testing methods should the developers employ to prevent an outage?

A. They should add additional unit tests and production scale load tests on their cloud staging
environment.
B. They should run the end-to-end tests in the cloud staging environment to determine if the code is
working as intended.
C. They should enable Google Stackdriver Debugger on the application code to show errors in the code.
D. They should add canary tests so developers can measure how much of an impact the new release
causes to latency.

Answer: A

NEW QUESTION # 344
For this question, refer to the EHR Healthcare case study. You are responsible for designing the Google Cloud network architecture for Google Kubernetes Engine. You want to follow Google best practices.
Considering the EHR Healthcare business and technical requirements, what should you do to reduce the attack surface?

A. Use a private cluster with a private endpoint with master authorized networks configured.
B. Use a public cluster with firewall rules and Virtual Private Cloud (VPC) routes.
C. Use a private cluster with a public endpoint with master authorized networks configured.
D. Use a public cluster with master authorized networks enabled and firewall rules.

Answer: B

Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/private-cluster-concept#overview

NEW QUESTION # 345
Case Study: 5 - 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. The application has grown from a few servers in the founder's garage to several hundred servers and appliances in a collocated 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 moving their development and test environments. They are also 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. All servers run Ubuntu LTS v16.04.
Databases:
MySQL. 1 server for user data, inventory, static data:
* - MySQL 5.8
- 8 core CPUs
- 128 GB of RAM
- 2x 5 TB HDD (RAID 1)
Redis 3 server cluster for metadata, social graph, caching. Each server is:
* - Redis 3.2
- 4 core CPUs
- 32GB of RAM
Compute:
40 Web Application servers providing micro-services based APIs and static content.
* - Tomcat - Java
- Nginx
- 4 core CPUs
- 32 GB of RAM
20 Apache Hadoop/Spark servers:
* - Data analysis
- Real-time trending calculations
- 8 core CPUS
- 128 GB of RAM
- 4x 5 TB HDD (RAID 1)
3 RabbitMQ servers for messaging, social notifications, and events:
* - 8 core CPUs
- 32GB of RAM
Miscellaneous servers:
* - Jenkins, monitoring, bastion hosts, security scanners
- 8 core CPUs
- 32GB of RAM
Storage appliances:
iSCSI for VM hosts
* Fiber channel SAN - MySQL databases
* - 1 PB total storage; 400 TB available
NAS - image storage, logs, backups
* - 100 TB total storage; 35 TB available
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.
* Technical Requirements
Easily create non-production environment in the cloud.
* Implement an automation framework for provisioning resources in cloud.
* Implement a continuous deployment process for deploying applications to the on-premises
* datacenter or cloud.
Support failover of the production environment to cloud during an emergency.
* Encrypt data on the wire and at rest.
* Support multiple private connections between the production data center and cloud
* environment.
Executive Statement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They are also concerned that a competitor could use a public cloud platform to offset their up-front investment and free them to focus on developing better features. Our traffic patterns are highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
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 for a public cloud strategy achieves a cost reduction between 30% and 50% over our current model.
For this question, refer to the Dress4Win case study. Dress4Win is expected to grow to 10 times its size in 1 year with a corresponding growth in data and traffic that mirrors the existing patterns of usage. The CIO has set the target of migrating production infrastructure to the cloud within the next 6 months. How will you configure the solution to scale for this growth without making major application changes and still maximize the ROI?

A. Implement managed instance groups for the Tomcat and Nginx. Migrate MySQL to Cloud SQL, RabbitMQ to Cloud Pub/Sub, Hadoop to Cloud Dataproc, and NAS to Cloud Storage.
B. Migrate RabbitMQ to Cloud Pub/Sub, Hadoop to BigQuery, and NAS to Compute Engine with Persistent Disk storage. Deploy Tomcat, and deploy Nginx using Deployment Manager.
C. Migrate the web application layer to App Engine, and MySQL to Cloud Datastore, and NAS to Cloud Storage. Deploy RabbitMQ, and deploy Hadoop servers using Deployment Manager.
D. Implement managed instance groups for Tomcat and Nginx. Migrate MySQL to Cloud SQL, RabbitMQ to Cloud Pub/Sub, Hadoop to Cloud Dataproc, and NAS to Compute Engine with Persistent Disk storage.

Answer: D

NEW QUESTION # 346
A digital Media company has recently moved its infrastructure from On-premise to Google Cloud, they have several instances under a Global HTTPS load balancer, a few days ago the Application and Infrastructure were subjected to DDOS attacks, they are looking for a service that would provide a defense mechanism against the DDOS attacks. Please select the relevant service.

A. Cloud Armor
B. IAM policies
C. GCP Firewalls
D. Cloud-Identity Aware Proxy

Answer: A

Explanation:
Option A is the CORRECT choice because Cloud Armor delivers defense at scale against infrastructure and application Distributed Denial of Service (DDoS) attacks using Google's global infrastructure and security systems.
Option B is INCORRECT because, Cloud-Identity Aware Proxy lets you establish a central authorization layer for applications accessed by HTTPS, so you can use an application-level access control model instead of relying on network-level firewalls.
Option C is INCORRECT because GCP firewalls rules don't apply for HTTP(S) Load Balancers, while Cloud Armor is delivered at the edge of Google's network, helping to block attacks close to their source.
Option D. IAM policies doesn't help in mitigating DDOS attacks.

NEW QUESTION # 347
You have a Python web application with many dependencies that requires 0.1 CPU cores and 128 MB of memory to operate in production. You want to monitor and maximize machine utilization. You also to reliably deploy new versions of the application. Which set of steps should you take?

A. Perform the following:
1) Create a managed instance group with f1-micro type machines.
2) Use a startup script to clone the repository, check out the production branch, install the dependencies, and start the Python app.
3) Restart the instances to automatically deploy new production releases.
B. Perform the following:
1) Create a Kubernetes Engine cluster with n1-standard-1 type machines.
2) Build a Docker image from the production branch with all of the dependencies, and tag it with the
3) Create a Kubernetes Deployment with the imagePullPolicy set to "IfNotPresent" in the staging namespace, and then promote it to the production namespace after testing.
C. Perform the following:
1) Create a Kubernetes Engine (GKE) cluster with n1-standard-4 type machines.
2) Build a Docker image from the master branch will all of the dependencies, and tag it with "latest".
3) Create a Kubernetes Deployment in the default namespace with the imagePullPolicy set to "Always".
Restart the pods to automatically deploy new production releases.
D. Perform the following:
1) Create a managed instance group with n1-standard-1 type machines.
2) Build a Compute Engine image from the production branch that contains all of the dependencies and automatically starts the Python app.
3) Rebuild the Compute Engine image, and update the instance template to deploy new production releases.

Answer: C

Explanation:
https://cloud.google.com/compute/docs/instance-templates

NEW QUESTION # 348
......

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