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Google Professional-Cloud-Architect Exam Syllabus Topics:

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

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q159-Q164):

NEW QUESTION # 159
You have broken down a legacy monolithic application into a few containerized RESTful microservices. You want to run those microservices on Cloud Run. You also want to make sure the services are highly available with low latency to your customers. What should you do?

A. Deploy Cloud Run services to multiple regions Create serverless network endpoint groups pointing to the services. Add the serverless NE Gs to a backend service that is used by a global HTIP(S) Load Balancing instance.
B. Deploy Cloud Run services to multiple availability zones. Create a TCP/IP global load balancer. Add the Cloud Run Endpoints to its backend service.
C. Deploy Cloud Run services to multiple availability zones. Create Cloud Endpoints that point to the services. Create a global HTIP(S) Load Balancing instance and attach the Cloud Endpoints to its backend.
D. Cloud Run services to multiple regions. In Cloud DNS, create a latency-based DNS name that points to the services.

Answer: A

Explanation:
https://cloud.google.com/run/docs/multiple-regions
Topic 8, Mountkrik Games
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 # 160
Case Study: 7 - Mountkirk Games
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.
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 L4 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 L7 load balancer.

Answer: C

NEW QUESTION # 161
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 L4 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 L7 load balancer.

Answer: C

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

NEW QUESTION # 162
Your development team has installed a new Linux kernel module on the batch servers in Google Compute Engine (GCE) virtual machines (VMs) to speed up the nightly batch process. Two days after the installation, 50% of the batch servers failed the nightly batch run. You want to collect details on the failure to pass back to the development team. Which three actions should you take? Choose 3 answers

A. Use Stackdriver Logging to search for the module log entries.
B. Use gcloud or Cloud Console to connect to the serial console and observe the logs.
C. Read the debug GCE Activity log using the API or Cloud Console.
D. Adjust the Google Stackdriver timeline to match the failure time, and observe the batch server metrics.
E. Identify whether a live migration event of the failed server occurred, using in the activity log.
F. Export a debug VM into an image, and run the image on a local server where kernel log messages will be displayed on the native screen.

Answer: A,B,D

NEW QUESTION # 163
You deploy your custom Java application to Google App Engine. It fails to deploy and gives you the following stack trace.
What should you do?

A. Recompile the CLoakedServlet class using and MD5 hash instead of SHA1
B. Upload missing JAR files and redeploy your application.
C. Digitally sign all of your JAR files and redeploy your application

Answer: C

NEW QUESTION # 164
......

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