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Google Professional-Cloud-Architect Exam Syllabus Topics:

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

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q59-Q64):

NEW QUESTION # 59
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 need to analyze and define the technical architecture for the database workloads for your company, Mountkirk Games.
Considering the business and technical requirements, what should you do?

Answer: D


NEW QUESTION # 60
You write a Python script to connect to Google BigQuery from a Google Compute Engine virtual machine.
The script is printing errors that it cannot connect to BigQuery. What should you do to fix the script?

Answer: A

Explanation:
Explanation
The error is most like caused by the access scope issue. When create new instance, you have the default Compute engine default service account but most serves access including BigQuery is not enable. Create an instance Most access are not enabled by default You have default service account but don't have the permission (scope) you can stop the instance, edit, change scope and restart it to enable the scope access. Of course, if you Run your script on a new virtual machine with the BigQuery access scope enabled, it also works
https://cloud.google.com/compute/docs/access/service-accounts


NEW QUESTION # 61
Your company is building a new architecture to support its data-centric business focus. You are responsible for setting up the network. Your company's mobile and web-facing applications will be deployed on-premises, and all data analysis will be conducted in GCP. The plan is to process and load 7 years of archived .csv files totaling
900 TB of data and then continue loading 10 TB of data daily. You currently have an existing 100-MB internet connection.
What actions will meet your company's needs?

Answer: D


NEW QUESTION # 62
A lead engineer wrote a custom tool that deploys virtual machines in the legacy data center. He wants to migrate the custom tool to the new cloud environment You want to advocate for the adoption of Google Cloud Deployment Manager What are two business risks of migrating to Cloud Deployment Manager? Choose 2 answers

Answer: C,D


NEW QUESTION # 63
The operations manager asks you for a list of recommended practices that she should consider when migrating a J2EE application to the cloud. Which three practices should you recommend? Choose 3 answers

Answer: B,C,F

Explanation:
Explanation
References: https://cloud.google.com/appengine/docs/standard/java/tools/uploadinganapp
https://cloud.google.com/appengine/docs/standard/java/building-app/cloud-sql


NEW QUESTION # 64
......

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