Master Google Professional-Cloud-Architect Exam Topics

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Google Professional-Cloud-Architect Exam Syllabus Topics:

SectionObjectives
Topic 1: Designing and planning a cloud solution architecture- Enabling future cloud technology
  • 1. Designing for scalability and elasticity
  • 2. Implementing future-proof architectures
- Creating a migration plan
  • 1. Planning data migration
  • 2. Refactoring and rearchitecting applications
  • 3. Identifying workloads for migration
- Designing network, storage, and compute resources
  • 1. GKE cluster and workload design
  • 2. Network design including load balancing and firewall rules
  • 3. Storage options and data lifecycle management
  • 4. Compute engine selection and configuration
- Designing solution infrastructure that meets business requirements
  • 1. Networking and compute resources
  • 2. Cost optimization
  • 3. Data and storage architecture
  • 4. Migration planning
  • 5. Integration with existing systems
  • 6. Business use cases and product strategy
Topic 2: Ensuring solution and operations reliability- Assisting with support
  • 1. Capacity planning and scaling
  • 2. Incident response and troubleshooting
- Evaluating quality control measures
- Deployment and release management
  • 1. Deployment strategies and rollback
  • 2. Release management and versioning
- Monitoring/logging/profiling/alerting solution
  • 1. Cloud Monitoring and Cloud Logging
  • 2. Performance profiling and tracing
  • 3. Error reporting and alerting
Topic 3: Designing for security and compliance- Designing for compliance
  • 1. Regulatory and compliance requirements
  • 2. Data residency and sovereignty
  • 3. Audit logging and monitoring
- Designing for security
  • 1. Identity and Access Management (IAM)
  • 2. Network security
  • 3. Data security and encryption
  • 4. Application security
Topic 4: Analyzing and optimizing technical and business processes- Analyzing and defining business processes
  • 1. Stakeholder communication
  • 2. Cost management and optimization
  • 3. Business KPIs and metrics
- Analyzing and defining technical processes
  • 1. Incident management and troubleshooting
  • 2. CI/CD pipeline design
  • 3. Software development lifecycle (SDLC)
Topic 5: Managing implementation- Interacting with Google Cloud programmatically
  • 1. APIs and client libraries
  • 2. Infrastructure as Code (IaC)
  • 3. Cloud SDK and gcloud CLI
- Advising development/operation team(s) to ensure successful deployment
  • 1. Application development best practices
  • 2. Deployment strategies
  • 3. Testing and validation
Topic 6: Managing and provisioning a solution infrastructure- Configuring compute systems
  • 1. GKE configuration and management
  • 2. Cloud Run and Cloud Functions
  • 3. Compute Engine configuration
- Configuring individual storage systems
  • 1. Cloud Storage configuration
  • 2. Datastore and Bigtable
  • 3. Cloud SQL and Spanner
- Configuring network topologies
  • 1. Hybrid and multi-cloud connectivity
  • 2. VPC design and peering
  • 3. Private access and VPN configuration

>> Professional-Cloud-Architect Actual Questions <<

2026 Valid Google Professional-Cloud-Architect Actual Questions

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q123-Q128):

NEW QUESTION # 123
For this question, refer to the Mountkirk Games case study. Which managed storage option meets Mountkirk's technical requirement for storing game activity in a time series database service?

Answer: D

Explanation:
https://cloud.google.com/blog/products/databases/getting-started-with-time-series-trend-predictions-using-gcp


NEW QUESTION # 124
For this question, refer to the Mountkirk Games case study.
Mountkirk Games has deployed their new backend on Google Cloud Platform (GCP). You want to create a thorough testing process for new versions of the backend before they are released to the public. You want the testing environment to scale in an economical way. How should you design the process?

Answer: C

Explanation:
From scenario: Requirements for Game Backend Platform
* Dynamically scale up or down based on game activity
* Connect to a managed NoSQL database service
* Run customize Linux distro
Topic 3, JencoMart Case Study
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.


NEW QUESTION # 125
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?

Answer: B


NEW QUESTION # 126
One of the developers on your team deployed their application in Google Container Engine with the Dockerfile below. They report that their application deployments are taking too long.

You want to optimize this Dockerfile for faster deployment times without adversely affecting the app's functionality.
Which two actions should you take? Choose 2 answers.

Answer: A,D

Explanation:
The speed of deployment can be changed by limiting the size of the uploaded app, limiting the complexity of the build necessary in the Dockerfile, if present, and by ensuring a fast and reliable internet connection.
Note: Alpine Linux is built around musl libc and busybox. This makes it smaller and more resource efficient than traditional GNU/Linux distributions. A container requires no more than 8 MB and a minimal installation to disk requires around 130 MB of storage. Not only do you get a fully-fledged Linux environment but a large selection of packages from the repository.
References: https://groups.google.com/forum/#!topic/google-appengine/hZMEkmmObDU
https://www.alpinelinux.org/about/


NEW QUESTION # 127
During a high traffic portion of the day, one of your relational databases crashes, but the replica is never promoted to a master. You want to avoid this in the future. What should you do?

Answer: B

Explanation:
Reference:
https://cloud.google.com/solutions/dr-scenarios-planning-guide


NEW QUESTION # 128
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