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Google Professional-Cloud-Architect Exam Syllabus Topics:

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

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q188-Q193):

NEW QUESTION # 188
For this question, refer to the TerramEarth case study.
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?

A. Use Google Container Engine with a Tomcat container with the Swagger (Open API Specification) framework. Focus on an API for dealers and partners.
B. Use Google App Engine with the Swagger (open API Specification) framework. Focus on an API for the public.
C. Use Google Container Engine with a Django Python container. Focus on an API for the public.
D. Use Google App Engine with a JAX-RS Jersey Java-based framework. Focus on an API for the public.
E. Use Google App Engine with Google Cloud Endpoints. Focus on an API for dealers and partners.

Answer: B

NEW QUESTION # 189
For this question, refer to the Mountkirk Games case study. You are in charge of the new Game Backend Platform architecture. The game communicates with the backend over a REST API.
You want to follow Google-recommended practices. How should you design the backend?

A. Create an instance template for the backend. For every region, deploy it on a multi-zone managed instance group. Use an L4 load balancer.
B. Create an instance template for the backend. For every region, deploy it on a single-zone managed instance group. Use an L7 load balancer.
C. Create an instance template for the backend. For every region, deploy it on a multi-zone managed instance group. Use an L7 load balancer.
D. Create an instance template for the backend. For every region, deploy it on a single-zone managed instance group. Use an L4 load balancer.

Answer: C

Explanation:
https://cloud.google.com/solutions/gaming/cloud-game-infrastructure#dedicated_game_server

NEW QUESTION # 190
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?

A. Latency difference between US and Asia
B. Total visits, error rates, and latency from Asia
C. The number of character sets present in the database
D. Total visits and average latency for users in Asia
E. Error rates for requests from Asia

Answer: D

NEW QUESTION # 191
You have been asked to select the storage system for the click-data of your company's large portfolio of websites. This data is streamed in from a custom website analytics package at a typical rate of 6,000 clicks per minute, with bursts of up to 8,500 clicks per second. It must have been stored for future analysis by your data science and user experience teams. Which storage infrastructure should you choose?

A. Google cloud Datastore
B. Google Cloud SQL
C. Google Cloud Storage
D. Google Cloud Bigtable

Answer: D

Explanation:
Google Cloud Bigtable is a scalable, fully-managed NoSQL wide-column database that is suitable for both real-time access and analytics workloads.
Good for:
- Low-latency read/write access
- High-throughput analytics
- Native time series support
Common workloads:
- IoT, finance, adtech
- Personalization, recommendations
- Monitoring
- Geospatial datasets
- Graphs
Incorrect Answers:
C: Google Cloud Storage is a scalable, fully-managed, highly reliable, and cost-efficient object / blob store.
Is good for:
- Images, pictures, and videos
- Objects and blobs
- Unstructured data
D: Google Cloud Datastore is a scalable, fully-managed NoSQL document database for your web and mobile applications.
Is good for:
- Semi-structured application data
- Hierarchical data
- Durable key-value data
- Common workloads:
- User profiles
- Product catalogs
- Game state
References: https://cloud.google.com/storage-options/

NEW QUESTION # 192
Your company creates rendering software which users can download from the company website. Your
company has customers all over the world. You want to minimize latency for all your customers. You want
to follow Google-recommended practices.
How should you store the files?

A. Save the files in multiple Multi-Regional Cloud Storage buckets, one bucket per multi-region.
B. Save the files in a Multi-Regional Cloud Storage bucket.
C. Save the files in a Regional Cloud Storage bucket, one bucket per zone of the region.
D. Save the files in multiple Regional Cloud Storage buckets, one bucket per zone per region.

Answer: C

Explanation:
Explanation/Reference:

NEW QUESTION # 193
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