Seit Neuem aktualisierte Professional-Cloud-Architect Examfragen für Google Professional-Cloud-Architect Prüfung

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Google Professional-Cloud-Architect Exam Syllabus Topics:
| Section | Objectives |
|---|
| Topic 1: Managing and provisioning a solution infrastructure | - 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
- Configuring compute systems
- 1. Cloud Run and Cloud Functions
- 2. GKE configuration and management
- 3. Compute Engine configuration
|
| Topic 2: Designing for security and compliance | - Designing for security
- 1. Network security
- 2. Data security and encryption
- 3. Identity and Access Management (IAM)
- 4. Application security
- Designing for compliance
- 1. Data residency and sovereignty
- 2. Audit logging and monitoring
- 3. Regulatory and compliance requirements
|
| Topic 3: Designing and planning a cloud solution architecture | - Designing network, storage, and compute resources
- 1. Storage options and data lifecycle management
- 2. Compute engine selection and configuration
- 3. GKE cluster and workload design
- 4. Network design including load balancing and firewall rules
- Designing solution infrastructure that meets business requirements
- 1. Cost optimization
- 2. Networking and compute resources
- 3. Integration with existing systems
- 4. Business use cases and product strategy
- 5. Migration planning
- 6. Data and storage architecture
- Creating a migration plan
- 1. Identifying workloads for migration
- 2. Refactoring and rearchitecting applications
- 3. Planning data migration
- Enabling future cloud technology
- 1. Implementing future-proof architectures
- 2. Designing for scalability and elasticity
|
| Topic 4: Analyzing and optimizing technical and business processes | - Analyzing and defining technical processes
- 1. Software development lifecycle (SDLC)
- 2. CI/CD pipeline design
- 3. Incident management and troubleshooting
- Analyzing and defining business processes
- 1. Stakeholder communication
- 2. Business KPIs and metrics
- 3. Cost management and optimization
|
| 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 - Monitoring/logging/profiling/alerting solution
- 1. Cloud Monitoring and Cloud Logging
- 2. Performance profiling and tracing
- 3. Error reporting and alerting
- Assisting with support
- 1. Capacity planning and scaling
- 2. Incident response and troubleshooting
|
| Topic 6: 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. Application development best practices
- 2. Deployment strategies
- 3. Testing and validation
|
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Google Certified Professional - Cloud Architect (GCP) Professional-Cloud-Architect Prüfungsfragen mit Lösungen (Q46-Q51):
46. Frage
You have created several preemptible Linux virtual machine instances using Google Compute Engine. You want to properly shut down your application before the virtual machines are preempted. What should you do?
- A. Create a shutdown script and use it as the value for a new metadata entry with the key shutdown- script in the Cloud Platform Console when you create the new virtual machine instance.
- B. Create a shutdown script named k99.shutdown in the /etc/rc.6.d/ directory.
- C. Create a shutdown script registered as a xinetd service in Linux and configure a Stackdnver endpoint check to call the service.
- D. Create a shutdown script, registered as a xinetd service in Linux, and use the gcloud compute instances add-metadata command to specify the service URL as the value for a new metadata entry with the key shutdown-script-url
Antwort: A
Begründung:
Running Shutdown Scripts: Create and run shutdown scripts that execute commands right before an instance is terminated or restarted, on a best-effort basis. This is useful if you rely on automated scripts to start up and shut down instances, allowing instances time to clean up or perform tasks, such as exporting logs, or syncing with other systems.
https://cloud.google.com/compute/docs/shutdownscript
To setup Shutdown Scripts, go to GCP console and follow the steps:
Compute Engine -> VM instance -> Create Instance -> (Expand) Management, disks, networking, SSH keys Enter the key "shutdown-script" and proper value
47. Frage
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. Mountkirk Games wants you to design a way to test the analytics platform's resilience to changes in mobile network latency.
What should you do?
- A. Create an opt-in beta of the game that runs on players' mobile devices and collects response times from analytics endpoints running in Google Cloud Platform regions all over the world.
- B. Add the ability to introduce a random amount of delay before beginning to process analytics files uploaded from mobile devices.
- C. Build a test client that can be run from a mobile phone emulator on a Compute Engine virtual machine, and run multiple copies in Google Cloud Platform regions all over the world to generate realistic traffic.
- D. Deploy failure injection software to the game analytics platform that can inject additional latency to mobile client analytics traffic.
Antwort: B
48. Frage
Your company is designing its application landscape on Compute Engine. Whenever a zonal outage occurs, the application should be restored in another zone as quickly as possible with the latest application dat a. You need to design the solution to meet this requirement. What should you do?
- A. Create a snapshot schedule for the disk containing the application data. Whenever a zonal outage occurs, use the latest snapshot to restore the disk in the same zone.
- B. Create a snapshot schedule for the disk containing the application data. Whenever a zonal outage occurs, use the latest snapshot to restore the disk in another zone within the same region.
- C. Configure the Compute Engine instances with an instance template for the application, and use a regional persistent disk for the application data. Whenever a zonal outage occurs, use the instance template to spin up the application in another zone in the same region. Use the regional persistent disk for the application data.
- D. Configure the Compute Engine instances with an instance template for the application, and use a regional persistent disk for the application data. Whenever a zonal outage occurs, use the instance template to spin up the application in another region. Use the regional persistent disk for the application data,
Antwort: C
Begründung:
Regional persistent disk is a storage option that provides synchronous replication of data between two zones in a region. Regional persistent disks can be a good building block to use when you implement HA services in Compute Engine. https://cloud.google.com/compute/docs/disks/high-availability-regional-persistent-disk
49. Frage
Your company wants to start using Google Cloud resources but wants to retain their on-premises Active Directory domain controller for identity management. What should you do?
- A. Use Google Cloud Directory Sync to synchronize Active Directory usernames with cloud identities and configure SAML SSO.
- B. Use the Admin Directory API to authenticate against the Active Directory domain controller.
- C. Use Cloud Identity-Aware Proxy configured to use the on-premises Active Directory domain controller as an identity provider.
- D. Use Compute Engine to create an Active Directory (AD) domain controller that is a replica of the onpremises AD domain controller using Google Cloud Directory Sync.
Antwort: C
Begründung:
Reference:
https://cloud.google.com/blog/products/identity-security/using-your-existing-identity-managementsystem- with-google-cloud-platform
50. Frage
A lead software engineer tells you that his new application design uses websockets and HTTP sessions that are not distributed across the web servers. You want to help him ensure his application will run properly on Google Cloud Platform. What should you do?
- A. Meet with the cloud operations team and the engineer to discuss load balancer options.
- B. Help the engineer to convert his websocket code to use HTTP streaming.
- C. Review the encryption requirements for websocket connections with the security team.
- D. Help the engineer redesign the application to use a distributed user session service that does not rely on websockets and HTTP sessions.
Antwort: A
Begründung:
Google Cloud Platform (GCP) HTTP(S) load balancing provides global load balancing for HTTP(S) requests destined for your instances.
The HTTP(S) load balancer has native support for the WebSocket protocol.
Incorrect Answers:
A: HTTP server push, also known as HTTP streaming, is a client-server communication pattern that sends information from an HTTP server to a client asynchronously, without a client request.
A server push architecture is especially effective for highly interactive web or mobile applications, where one or more clients need to receive continuous information from the server.
References: https://cloud.google.com/compute/docs/load-balancing/http/
51. Frage
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