Professional-Cloud-Architect Prüfungsfragen, Professional-Cloud-Architect Fragen und Antworten, Google Certified Professional - Cloud Architect (GCP)

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Die Zertifizierungsprüfung zum Professional-Cloud-Architect ist ideal für IT-Profis, die Erfahrung in Cloud Computing haben und ihre Fähigkeiten und Kenntnisse in der Cloud-Architektur verbessern möchten. Diese Zertifizierung eignet sich auch für Einzelpersonen, die ihr Know-how potenziellen Arbeitgebern und Kunden demonstrieren möchten, sowie für IT-Organisationen, die sicherstellen möchten, dass ihre Mitarbeiter die notwendigen Fähigkeiten haben, um Cloud-Lösungen mit GCP zu entwerfen und zu verwalten.

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Google Certified Professional - Cloud Architect (GCP) Professional-Cloud-Architect Prüfungsfragen mit Lösungen (Q209-Q214):

209. Frage
For this question, refer to the Mountkirk Games case study. Mountkirk Games wants to design their
solution for the future in order to take advantage of cloud and technology improvements as they become
available. Which two steps should they take? (Choose two.)

A. Store as much analytics and game activity data as financially feasible today so it can be used to train
machine learning models to predict user behavior in the future.
B. Adopt a schema versioning tool to reduce downtime when adding new game features that require
storing additional player data in the database.
C. Begin packaging their game backend artifacts in container images and running them on Kubernetes
Engine to improve the availability to scale up or down based on game activity.
D. Set up a CI/CD pipeline using Jenkins and Spinnaker to automate canary deployments and improve
development velocity.
E. Implement a weekly rolling maintenance process for the Linux virtual machines so they can apply
critical kernel patches and package updates and reduce the risk of 0-day vulnerabilities.

Antwort: D,E

210. Frage
Case Study: 1 - Mountkirk Games Case Study
Company Overview
Mountkirk Games makes online, session-based. multiplayer games for the most popular mobile platforms.
Company Background
Mountkirk Games builds all of their games with some server-side integration and has historically used cloud providers to lease physical servers. A few of their games were more popular than expected, and they had problems scaling their application servers, MySQL databases, and analytics tools.
Mountkirk's 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.
Technical Requirements
Requirements for Game Backend Platform
1. Dynamically scale up or down based on game activity.
2. Connect to a managed NoSQL database service.
3. Run customized Linx distro.
Requirements for Game Analytics Platform
1. Dynamically scale up or down based on game activity.
2. Process incoming data on the fly directly from the game servers.
3. Process data that arrives late because of slow mobile networks.
4. Allow SQL queries to access at least 10 TB of historical data.
5. Process files that are regularly uploaded by users' mobile devices.
6. Use only fully managed services
CEO Statement
Our last successful game did not scale well with our previous cloud provider, resuming 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 gams to target users.
CTO Statement
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.
CFO Statement
We are not capturing enough user demographic data usage metrics, and other KPIs. As a result, we do not engage the right users. We are not confident that our marketing is targeting the right users, and we are not selling enough premium Blast-Ups inside the games, which dramatically impacts our revenue.
For this question, refer to the Mountkirk Games case study Mountkirk Games needs to create a repeatable and configurable mechanism for deploying isolated application environments.
Developers and testers can access each other's environments and resources, but they cannot access staging or production resources. The staging environment needs access to some services from production.
What should you do to isolate development environments from staging and production?

A. Create one project for development, a second for staging and a third for production.
B. Create a network for development and test and another for staging and production.
C. Create a project for development and test and another for staging and production.
D. Create one subnetwork for development and another for staging and production.

Antwort: C

Begründung:
https://cloud.google.com/appengine/docs/standard/go/creating-separate-dev-environments

211. Frage
You are building a continuous deployment pipeline for a project stored in a Git source repository and want to ensure that code changes can be verified deploying to production. What should you do?

A. Use Spinnaker to deploy builds to production and run tests on production deployments.
B. Use Jenkins to monitor tags in the repository. Deploy staging tags to a staging environment for testing.
C. Use Spinnaker to deploy builds to production using the red/black deployment strategy so that changes can easily be rolled back.
D. Use Jenkins to build the staging branches and the master branch. Build and deploy changes to production for 10% of users before doing a complete rollout.

Antwort: B

Begründung:
After testing, tag the repository for production and deploy that to the production environment.
Reference:
README.md

212. Frage
You need to develop procedures to test a disaster plan for a mission-critical application. You want to use Google-recommended practices and native capabilities within GCP.
What should you do?

A. Use gcloud scripts to automate service provisioning. Use Activity Logs monitor and debug your tests.
B. Use Deployment Manager to automate service provisioning. Use Stackdriver to monitor and debug your tests.
C. Use Deployment Manager to automate service provisioning. Use Activity Logs to monitor and debug your tests.
D. Use gcloud scripts to automate service provisioning. Use Stackdriver to monitor and debug your tests.

Antwort: B

213. Frage
You want to automate the creation of a managed instance group and a startup script to install the OS package dependencies. You want to minimize the startup time for VMs in the instance group.
What should you do?

A. Use Terraform to create the managed instance group and a startup script to install the OS package dependencies.
B. Use Deployment Manager to create the managed instance group and Ansible to install the OS package dependencies.
C. Create a custom VM image with all OS package dependencies. Use Deployment Manager to create the managed instance group with the VM image.
D. Use Puppet to create the managed instance group and install the OS package dependencies.

Antwort: C

Begründung:
"Custom images are more deterministic and start more quickly than instances with startup scripts. However, startup scripts are more flexible and let you update the apps and settings in your instances more easily." https://cloud.google.com/compute/docs/instance-templates/create-instance-templates#using_custom_or_public_images_in_your_instance_templates

214. Frage
......

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