Professional-Cloud-Architect최신시험대비자료최신버전덤프데모

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Google Professional-Cloud-Architect Exam Syllabus Topics:

Section	Objectives
Topic 1: Design for security and compliance	- Configure data protection and encryption - Implement identity and access management (IAM)
Topic 2: Manage implementations of cloud architecture	- Ensure solution reliability and operational excellence - Manage deployment and production systems
Topic 3: Design and plan a cloud solution architecture	- Plan security and compliance requirements - Design for reliability, scalability, and availability - Design Google Cloud solutions based on business requirements
Topic 4: Manage and provision the solution infrastructure	- Automate infrastructure deployment - Provision compute, storage, and network resources
Topic 5: Analyze and optimize technical and business processes	- Monitor, log, and optimize system performance - Optimize cost and resource usage

>> Professional-Cloud-Architect최신 시험대비자료 <<

Professional-Cloud-Architect최신 시험대비자료 시험준비에 가장 좋은 최신 공부자료

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최신 Google Cloud Certified Professional-Cloud-Architect 무료샘플문제 (Q319-Q324):

질문 # 319
You are designing a central, automated infrastructure deployment process tor your organization using Terraform and Cloud Build The security team prohibits the use of long-lived, static service account keys in any CI/CD pipeline Additionally, while developers can propose infrastructure changes for peer review, they must not have permissions to directly apply changes in the production project. You need to design a secure and automated workflow for applying Terraform changes that meets the security team ' s requirements and ensures proper governance. What should you do?

A. Configure the Cloud Build pipeline to use service account impersonation. Set up a trigger that automatically runs terraform apply when a pull request is merged.
B. Configure the pipeline to only run terraform plan. After a pull request Is approved, have an authorized developer run terraform apply from a secured workstation
C. Create a privileged service account and store its JSON key in Secret Manager Configure the Cloud Build pipeline to fetch this key during execution to authenticate Terraform.
D. Use service account impersonation in Cloud Build. Configure the pipeline to run terraform plan on pull requests, and require manual approval before running terraform apply.

정답：D

설명：
Security best practices in Google Cloud dictate that you should avoid static JSON keys at all costs.
* Impersonation: By using Service Account Impersonation (Option D), the Cloud Build service account " acts as " a more privileged Terraform service account only during the build. This uses short- lived tokens that expire automatically.
* Governance: Running terraform plan on a pull request allows peers to review the exact changes before they happen. Requiring a manual approval step for terraform apply ensures that a human gatekeeper validates the change before it impacts the production environment.

질문 # 320
An application development team believes their current logging tool will not meet their needs for their new cloud-based product. They want a better tool to capture errors and help them analyze their historical log data. You want to help them find a solution that meets their needs.
What should you do?

A. Help them define their requirements and assess viable logging tools
B. Send them a list of online resources about logging best practices
C. Help them upgrade their current tool to take advantage of any new features
D. Direct them to download and install the Google StackDriver logging agent

정답：D

설명：
Explanation/Reference:
Explanation:
The Stackdriver Logging agent streams logs from your VM instances and from selected third party software packages to Stackdriver Logging. Using the agent is optional but we recommend it. The agent runs under both Linux and Microsoft Windows.
Note: Stackdriver Logging allows you to store, search, analyze, monitor, and alert on log data and events from Google Cloud Platform and Amazon Web Services (AWS). Our API also allows ingestion of any custom log data from any source. Stackdriver Logging is a fully managed service that performs at scale and can ingest application and system log data from thousands of VMs. Even better, you can analyze all that log data in real time.
References: https://cloud.google.com/logging/docs/agent/installation

질문 # 321
You need to set up Microsoft SQL Server on GCP. Management requires that there's no downtime in case of a data center outage in any of the zones within a GCP region. What should you do?

A. Configure a Cloud SQL instance with high availability enabled.
B. Set up SQL Server Always On Availability Groups using Windows Failover Clustering. Place nodes in different zones.
C. Set up SQL Server on Compute Engine, using Always On Availability Groups using Windows Failover Clustering. Place nodes in different subnets.
D. Configure a Cloud Spanner instance with a regional instance configuration.

정답：B

설명：
Reference:
https://cloud.google.com/sql/docs/sqlserver/configure-ha

질문 # 322
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.

A. Instrument the application with a monitoring tool like Stackdriver Debugger
B. Migrate from MySQL to a managed NoSQL database like Google Cloud Datastore or Bigtable
C. Port the application code to run on Google App Engine
D. Integrate Cloud Dataflow into the application to capture real-time metrics
E. Select an automation framework to reliably provision the cloud infrastructure
F. Deploy a continuous integration tool with automated testing in a staging environment

정답：C,E,F

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

질문 # 323
You are running a cluster on Kubernetes Engine (GKE) to serve a web application. Users are reporting that a specific part of the application is not responding anymore. You notice that all pods of your deployment keep restarting after 2 seconds. The application writes logs to standard output. You want to inspect the logs to find the cause of the issue. Which approach can you take?

A. Review the Stackdriver logs for the specific GKE container that is serving the unresponsive part of the application.
B. Review the Stackdriver logs for each Compute Engine instance that is serving as a node in the cluster.
C. Review the Serial Port logs for each Compute Engine instance that is serving as a node in the cluster.
D. Connect to the cluster using gcloud credentials and connect to a container in one of the pods to read the logs.

정답：D

질문 # 324
......

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