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Google Professional-Cloud-Architect Exam Syllabus Topics:

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

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q44-Q49):

NEW QUESTION # 44
You are using a single Cloud SQL instance to serve your application from a specific zone. You want to introduce high availability. What should you do?

A. Create a failover replica instance in the same region, but in a different zone
B. Create a failover replica instance in a different region
C. Create a read replica instance in the same region, but in a different zone
D. Create a read replica instance in a different region

Answer: A

Explanation:
https://cloud.google.com/sql/docs/mysql/configure-ha

NEW QUESTION # 45
You need to build and deploy a containerized web application to Google Cloud. The application is very write-heavy and requires a relational database as its data store. The application needs to be highly available in multiple cloud regions. You want to minimize operational overhead while following Google-recommended practices. What should you do?

A. Deploy the application to Cloud Run in multiple regions behind a global HTTPS load balancer.
Use Spanner as the database.
B. Deploy the application to GKE clusters in multiple regions and expose the application endpoint with a regional load balancer. Use Cloud SQL as the database.
C. Deploy the application to a GKE standard cluster with a global ingress to expose the application endpoint. Use Bigtable as the database.
D. Deploy the application to a GKE standard cluster behind a global HTTPS load balancer. Use Firestore as the database with multi-region locations enabled.

Answer: A

Explanation:
Deploying the containerized web application to Cloud Run in multiple regions behind a global HTTPS load balancer provides multi-region high availability with minimal infrastructure management. Using Spanner delivers a fully managed relational database with strong consistency and native multi-region availability, which is well suited for write-heavy workloads while following Google-recommended practices for global scalability and reliability.

NEW QUESTION # 46
For this question, refer to the Cymbal Retail case study. Cymbal wants to migrate its diverse database environment to Google Cloud while ensuring high availability and performance for online customers. The company also wants to efficiently store and access large product images These images typically stay In the catalog for more than 90 days and are accessed less and less frequently. You need to select the appropriate Google Cloud services for each database. You also need to design a storage solution for the product images that optimizes cost and performance What should you do?

A. Migrate all databases to self-managed instances on Compute Engino. and use a persistent disk for image storage.
B. Migrate MySQL to Cloud SQL. SQL Server to Cloud SQL. Redis to Memorystore. and MongoDB to Firestore. Use Cloud Storage Standard for image storage, and move images to Cloud Storage Coldline storage when products become less popular
C. Migrate all databases to Spanner for consistency, and use Cloud Storage Standard for image storage
D. Migrate MySQL and SQL Server to Spanner. Redis to Memorystore. and MongoDB to Firestore Use Cloud Storage Standard for image storage, and move images to Cloud Storage Nearline storage when products become less popular.

Answer: B

Explanation:
The Google Cloud database migration path follows a " like-for-like " managed service strategy. Cloud SQL is the recommended destination for MySQL and SQL Server workloads that do not require the massive horizontal scale of Spanner, fitting Cymbal's " Technical Stack Modernization " goals. Memorystore is the managed service for Redis, and Firestore is the native NoSQL replacement for MongoDB.
For the image storage requirement, Cloud Storage Coldline is the mathematically correct choice for data accessed " less and less frequently " with a retention period exceeding 90 days . According to Cloud Storage documentation , Coldline is specifically designed for data accessed at most once a quarter (90 days). Using Object Lifecycle Management to move images from Standard to Coldline allows Cymbal to " reduce costs " while keeping images " immediately accessible " (unlike Archive storage, which may have different trade- offs). Option C is less optimal because Nearline is intended for 30-day access patterns; given the images stay for 90+ days and usage drops significantly, the deeper savings of Coldline are preferred. Option A is over- engineered (Spanner for all) and expensive, while Option B contradicts the requirement to " reduce costs " by increasing operational overhead

NEW QUESTION # 47
Dress4Win has asked you to recommend machine types they should deploy their application servers to.
How should you proceed?

A. Identify the number of virtual cores and RAM associated with the application server virtual machines
align them to a custom machine type in the cloud, monitor performance, and scale the machine types
up until the desired performance is reached.
B. Perform a mapping of the on-premises physical hardware cores and RAM to the nearest machine types
in the cloud.
C. Recommend that Dress4Win deploy into production with the smallest instances available, monitor them
over time, and scale the machine type up until the desired performance is reached.
D. Recommend that Dress4Win deploy application servers to machine types that offer the highest RAM to
CPU ratio available.

Answer: B

NEW QUESTION # 48
Your company sends all Google Cloud logs to Cloud Logging. Your security team wants to monitor the logs.
You want to ensure that the security team can react quickly if an anomaly such as an unwanted firewall change or server breach is detected. You want to follow Google-recommended practices. What should you do?

A. Export logs to a Cloud Storage bucket, and trigger Cloud Run with the relevant log events.
B. Schedule a cron job with Cloud Scheduler. The scheduled job queries the logs every minute for the relevant events.
C. Export logs to BigQuery, and trigger a query in BigQuery to process the log data for the relevant events.
D. Export logs to a Pub/Sub topic, and trigger Cloud Function with the relevant log events.

Answer: D

Explanation:
Explanation
https://cloud.google.com/blog/products/management-tools/automate-your-response-to-a-cloud-logging-event

NEW QUESTION # 49
......

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