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Google Professional-Cloud-Architect Exam Syllabus Topics:

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

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q216-Q221):

NEW QUESTION # 216
For this question, refer to the TerramEarth case study. A new architecture that writes all incoming data to BigQuery has been introduced. You notice that the data is dirty, and want to ensure data quality on an automated daily basis while managing cost.
What should you do?

Answer: D

Explanation:
Topic 8, Mountkrik Games Case 2
Company Overview
Mountkirk Games makes online, session-based, multiplayer games for mobile platforms. They build all of their games using some server-side integration. Historically, they have used cloud providers to lease physical servers.
Due to the unexpected popularity of some of their games, they have had problems scaling their global audience, application servers, MySQL databases, and analytics tools.
Their current model is to write game statistics to files and send them through an ETL tool that loads them into a centralized MySQL database for reporting.
Solution Concept
Mountkirk Games is building a new game, which they expect to be very popular. They plan to deploy the game's backend on Google 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.
Business Requirements
Increase to a global footprint.
Improve uptime - downtime is loss of players.
Increase efficiency of the cloud resources we use.
Reduce latency to all customers.
Technical Requirements
Requirements for Game Backend Platform
Dynamically scale up or down based on game activity.
Connect to a transactional database service to manage user profiles and game state.
Store game activity in a timeseries database service for future analysis.
As the system scales, ensure that data is not lost due to processing backlogs.
Run hardened Linux distro.
Requirements for Game Analytics Platform
Dynamically scale up or down based on game activity
Process incoming data on the fly directly from the game servers
Process data that arrives late because of slow mobile networks
Allow queries to access at least 10 TB of historical data
Process files that are regularly uploaded by users' mobile devices
Executive Statement
Our last successful game did not scale well with our previous cloud provider, resulting in lower user adoption and affecting the game's reputation. Our investors want more key performance indicators (KPIs) to evaluate the speed and stability of the game, as well as other metrics that provide deeper insight into usage patterns so we can adapt the game to target users. Additionally, our current technology stack cannot provide the scale we need, so we want to replace MySQL and move to an environment that provides autoscaling, low latency load balancing, and frees us up from managing physical servers.


NEW QUESTION # 217
You are deploying a critical application with a stateless, containerized (rented on Cloud Run and a Cloud SQL tor PostgreSQL backend The application experiences unpredictable traffic spikes, and the business requires the ability to immediately roll back a failed deployment to the last known good state You need to apply a deployment strategy that aligns with Site Reliability Engineering (SRE) principles for both the application code and the database schema updates, while meeting the business ' s requirements What should you do?

Answer: A

Explanation:
In SRE (Site Reliability Engineering), the goal is to decouple components to reduce the " blast radius " of changes.
* Separation of Concerns: Database schema migrations and application code should have separate pipelines (Option C). If a schema update is backward-compatible (a requirement for zero-downtime), the app can be rolled back independently.
* Traffic Management: Cloud Run supports gradual traffic splitting , allowing you to send 5% of traffic to a new revision. If errors spike, you can immediately shift 100% of traffic back to the old revision.
* Why not D? Running migrations on container startup is a common " anti-pattern " in large-scale systems because if 100 containers start at once, they might all try to modify the schema simultaneously, leading to lock contention or database corruption.


NEW QUESTION # 218
The TerramEarth development team wants to create an API to meet the company's business requirements.
You want the development team to focus their development effort on business value versus creating a custom framework.
Which method should they use?

Answer: D

Explanation:
Develop, deploy, protect and monitor your APIs with Google Cloud Endpoints. Using an Open API Specification or one of our API frameworks, Cloud Endpoints gives you the tools you need for every phase of API development.
From scenario:
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 to 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.
Reference: https://cloud.google.com/certification/guides/cloud-architect/casestudy-terramearth


NEW QUESTION # 219
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?

Answer: B

Explanation:
When should you use a signed URL? In some scenarios, you might not want to require your users to have a Google account in order to access Cloud Storage" "Signed URLs contain authentication information in their query string, allowing users without credentials to perform specific actions on a resource".
https://cloud.google.com/storage/docs/access-control/signed-urls


NEW QUESTION # 220
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?

Answer: A

Explanation:
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.


NEW QUESTION # 221
......

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