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Google Professional-Cloud-Architect Exam Syllabus Topics:

Section	Objectives
Designing and planning a cloud solution architecture	- Creating a migration plan 1. Identifying workloads for migration 2. Refactoring and rearchitecting applications 3. Planning data migration - Designing network, storage, and compute resources 1. Compute engine selection and configuration 2. Network design including load balancing and firewall rules 3. Storage options and data lifecycle management 4. GKE cluster and workload design - Enabling future cloud technology 1. Implementing future-proof architectures 2. Designing for scalability and elasticity - Designing solution infrastructure that meets business requirements 1. Cost optimization 2. Migration planning 3. Data and storage architecture 4. Integration with existing systems 5. Networking and compute resources 6. Business use cases and product strategy
Managing implementation	- Interacting with Google Cloud programmatically 1. Infrastructure as Code (IaC) 2. Cloud SDK and gcloud CLI 3. APIs and client libraries - Advising development/operation team(s) to ensure successful deployment 1. Testing and validation 2. Application development best practices 3. Deployment strategies
Designing for security and compliance	- Designing for security 1. Identity and Access Management (IAM) 2. Application security 3. Data security and encryption 4. Network security - Designing for compliance 1. Regulatory and compliance requirements 2. Data residency and sovereignty 3. Audit logging and monitoring
Ensuring solution and operations reliability	- Assisting with support 1. Capacity planning and scaling 2. Incident response and troubleshooting - Deployment and release management 1. Deployment strategies and rollback 2. Release management and versioning - Evaluating quality control measures - Monitoring/logging/profiling/alerting solution 1. Cloud Monitoring and Cloud Logging 2. Performance profiling and tracing 3. Error reporting and alerting
Managing and provisioning a solution infrastructure	- Configuring individual storage systems 1. Cloud SQL and Spanner 2. Datastore and Bigtable 3. Cloud Storage configuration - Configuring network topologies 1. Hybrid and multi-cloud connectivity 2. VPC design and peering 3. Private access and VPN configuration - Configuring compute systems 1. GKE configuration and management 2. Compute Engine configuration 3. Cloud Run and Cloud Functions
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. 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 (Q92-Q97):

NEW QUESTION # 92
You are deploying a PHP App Engine Standard service with SQL as the backend. You want to minimize the number of queries to the database.
What should you do?

A. Set the memcache service level to shared. Create a cron task that runs every minute to save all expected queries to a key called "cached-queries".
B. Set the memcache service level to dedicated. Create a key from the hash of the query, and return database values from memcache before issuing a query to Cloud SQL.
C. Set the memcache service level to shared. Create a key called "cached-queries", and return database values from the key before using a query to Cloud SQL.
D. Set the memcache service level to dedicated. Create a cron task that runs every minute to populate the cache with keys containing query results.

Answer: B

Explanation:
Explanation
https://cloud.google.com/appengine/docs/standard/php/memcache/using

NEW QUESTION # 93
Your company is developing a new application that will allow globally distributed users to upload pictures and share them with other selected users. The application will support millions of concurrent users. You want to allow developers to focus on just building code without having to create and maintain the underlying infrastructure. Which service should you use to deploy the application?

A. Cloud Endpoints
B. Compute Engine
C. Google Kubernetes Engine
D. App Engine

Answer: D

Explanation:
Reference: https://cloud.google.com/terms/services

NEW QUESTION # 94
Your company just finished a rapid lift and shift to Google Compute Engine for your compute needs. You have another 9 months to design and deploy a more cloud-native solution. Specifically, you want a system that is no-ops and auto-scaling. Which two compute products should you choose? Choose 2 answers

A. Compute Engine with managed instance groups
B. Google Container Engine with containers
C. Compute Engine with custom instance types
D. Compute Engine with containers
E. Google App Engine Standard Environment

Answer: A,E

NEW QUESTION # 95
The development team has provided you with a Kubernetes Deployment file. You have no infrastructure yet and need to deploy the application. What should you do?

A. Use kubect1 to create a Kubernetes cluster. Use kubect1 to create the deployment.
B. Use gcloud to create a Kubernetes cluster. Use Deployment Manager to create the deployment.
C. Use kubect1 to create a Kubernetes cluster. Use Deployment Manager to create the deployment.
D. Use gcloud to create a Kubernetes cluster. Use kubect1 to create the deployment.

Answer: D

Explanation:
Reference:
https://cloud.google.com/kubernetes-engine/docs/how-to/creating-a-cluster

NEW QUESTION # 96
Your company wants you to build a highly reliable web application with a few public APIs as the backend.
You don't expect a lot of user traffic, but traffic could spike occasionally. You want to leverage Cloud Load Balancing, and the solution must be cost-effective for users. What should you do?

A. Store static content such as HTML and images in Cloud CDN. Host the APIs on App Engine and store the user data in Cloud SQL.
B. Store static content such as HTML and images in a Cloud Storage bucket. Host the APIs on a zonal Google Kubernetes Engine cluster with worker nodes in multiple zones, and save the user data in Cloud Spanner.
C. Store static content such as HTML and images in Cloud CDN. Use Cloud Run to host the APIs and save the user data in Cloud SQL.
D. Store static content such as HTML and images in a Cloud Storage bucket. Use Cloud Functions to host the APIs and save the user data in Firestore.

Answer: D

Explanation:
https://cloud.google.com/load-balancing/docs/https/setting-up-https-serverless#gcloud:-cloud-functions
https://cloud.google.com/blog/products/networking/better-load-balancing-for-app-engine-cloud-run-and-functio

NEW QUESTION # 97
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