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To prepare for the Google Professional-Cloud-Architect Exam, candidates should have experience in designing and implementing cloud solutions using GCP. They should also have a good understanding of cloud computing concepts, such as virtualization, networking, and storage. Google recommends that candidates complete the Architecting with Google Cloud Platform specialization on Coursera before taking the exam.

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Windows, Mac, iOS, Android, and Linux support this Professional-Cloud-Architect practice exam. The desktop Google Certified Professional - Cloud Architect (GCP) (Professional-Cloud-Architect) practice test software is similar to the web-based Professional-Cloud-Architect format as far as its features are concerned. But it works offline only on the Windows operating system. The offline Professional-Cloud-Architect Practice Exam can be taken easily just by just installing the software on your Windows laptop or computer. All three Google Certified Professional - Cloud Architect (GCP) (Professional-Cloud-Architect) formats of ActualtestPDF are according to the latest content of the Google Professional-Cloud-Architect examination.

Topics of Google Professional Cloud Architect Exam

Candidates must know the exam topics before they start of preparation.because it will really help them in hitting the core.Our Google Professional Cloud Architect Dumps will include the following topics:

1. Designing and planning a cloud solution architecture

Business requirements considerations

Cost optimization
Compliance and observability
Success measurements (e.g., key performance indicators [KPI], return on investment [ROI], metrics)
Business use cases and product strategy
Design decision trade-offs
Supporting the application design
Build, buy or modify

Technical requirements considerations

Scalability to meet growth requirements
High availability and failover design
Performance and latency
Elasticity of cloud resources

Network, Storage, and Compute resources Considerations

Choosing compute resources (e.g., preemptible, custom machine type, specialized workload)
Cloud-native networking (VPC, peering, firewalls, container networking)
Mapping compute needs to platform products

Creating a migration plan

Migrating systems and data to support the solution
Integrating solution with existing systems
Network planning
Licensing mapping
Dependency management planning

Envisioning future solution improvements

Evangelism and advocacy
Cloud and technology improvements
Business needs evolution

2. Managing and provisioning a solution Infrastructure

Configuring network topologies

Extending to on-premises (hybrid networking)
Security and data protection
Extending to a multi-cloud environment that may include GCP to GCP communication

Configuring individual storage systems

Data storage allocation
Data processing/compute provisioning
Data retention and data life cycle management
Network configuration for data transfer and latency

Configuring compute systems

Compute system provisioning
Network configuration for compute nodes
Container orchestration with Kubernetes
Compute volatility configuration (preemptible vs. standard)
Infrastructure provisioning technology configuration (e.g. Chef/Puppet/Ansible/Terraform/Deployment Manager)

3. Designing for security and compliance

Security considerations

Data security (key management, encryption)
Separation of duties (SoD)
Resource hierarchy (organizations, folders, projects)
Managing customer- managed encryption keys with Cloud KMS
Security controls (e.g., auditing, VPC Service Controls organization policy)

compliance Considerations

Industry certifications (e.g., SOC 2)
Audits (including logs)
Legislation (e.g., health record privacy, children's privacy, data privacy, and ownership)
Commercial (e.g., sensitive data such as credit card information handling, personally identifiable information [PII])

4. Analyzing and optimizing technical and business processes

Analyzing and defining technical processes considerations

Software development life cycle plan (SDLC)
Continuous integration / continuous deployment
Troubleshooting / post mortem analysis culture

Analyzing and defining business processes. Considerations include:

Stakeholder management (e.g. influencing and facilitation)
Customer success management
Team assessment / skills readiness
Cost optimization / resource optimization (capex / opex)

Developing procedures to ensure resilience of solution in production (e.g., chaos engineering)

5. Managing implementation

Advising development/operation team(s) to ensure successful deployment of the solution. considerations

Data and system migration tooling
Testing frameworks (load/unit/integration)
API best practices
Application development

Interacting with Google Cloud using GCP SDK (gcloud, gsutil, and bq) considerations

Google Cloud Shell
Local installation

6. Ensuring solution and operations reliability

Monitoring/logging/profiling/alerting solution
Evaluating quality control measures
Deployment and release management
Assisting with the support of solutions in operation

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q297-Q302):

NEW QUESTION # 297
Your company sends all Google Cloud logs to Cloud Logging. Your security team wants to monitor the logs. You want to ensure that the security team can react quickly if an anomaly such as an unwanted firewall change or server breach is detected. You want to follow Google- recommended practices. What should you do?

A. Export logs to a Cloud Storage bucket, and trigger Cloud Run with the relevant log events.
B. Schedule a cron job with Cloud Scheduler. The scheduled job queries the logs every minute for the relevant events.
C. Export logs to BigQuery, and trigger a query in BigQuery to process the log data for the relevant events.
D. Export logs to a Pub/Sub topic, and trigger Cloud Function with the relevant log events.

Answer: D

Explanation:
Using BigQuery can get expensive if you have somehow check the logs for anomalies.
https://cloud.google.com/blog/products/management-tools/automate-your-response-to-a-cloud- logging-event

NEW QUESTION # 298
Your company provides a recommendation engine for retail customers. You are providing retail customers with an API where they can submit a user ID and the API returns a list of recommendations for that user. You are responsible for the API lifecycle and want to ensure stability for your customers in case the API makes backward-incompatible changes. You want to follow Google-recommended practices. What should you do?

A. Create an automated process to generate API documentation, and update the public API documentation as part of the CI/CD process when deploying an update to the API.
B. Use a versioning strategy for the APIs that adds the suffix "DEPRECATED" to the current API version number on every backward-incompatible change. Use the current version number for the new API.
C. Use a versioning strategy for the APIs that increases the version number on every backward-incompatible change.
D. Create a distribution list of all customers to inform them of an upcoming backward-incompatible change at least one month before replacing the old API with the new API.

Answer: C

NEW QUESTION # 299
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. 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.
B. Use Stackdriver Logging to search for the module log entries.
C. Read the debug GCE Activity log using the API or Cloud Console.
D. Use gcloud or Cloud Console to connect to the serial console and observe the logs.
E. Adjust the Google Stackdriver timeline to match the failure time, and observe the batch server metrics.
F. Identify whether a live migration event of the failed server occurred, using in the activity log.

Answer: B,D,E

NEW QUESTION # 300
Your organization wants to control IAM policies for different departments independently, but centrally.
Which approach should you take?

A. A single Organization with multiple projects, each with a central owner
B. Multiple Organizations with multiple Folders
C. Multiple Organizations, one for each department
D. A single Organization with Folders for each department

Answer: D

Explanation:
Folders are nodes in the Cloud Platform Resource Hierarchy. A folder can contain projects, other folders, or a combination of both. You can use folders to group projects under an organization in a hierarchy. For example, your organization might contain multiple departments, each with its own set of GCP resources. Folders allow you to group these resources on a per-department basis. Folders are used to group resources that share common IAM policies. While a folder can contain multiple folders or resources, a given folder or resource can have exactly one parent.
References: https://cloud.google.com/resource-manager/docs/creating-managing-folders

NEW QUESTION # 301
For this question, refer to the TerramEarth case study
You analyzed TerramEarth's business requirement to reduce downtime, and found that they can achieve a majority of time saving by reducing customers' wait time for parts You decided to focus on reduction of the 3 weeks aggregate reporting time Which modifications to the company's processes should you recommend?

A. Increase fleet cellular connectivity to 80%, migrate from FTP to streaming transport, and develop machine learning analysis of metrics.
B. Migrate from FTP to SFTP transport, develop machine learning analysis of metrics, and increase dealer local inventory by a fixed factor.
C. Migrate from CSV to binary format, migrate from FTP to SFTP transport, and develop machine learning analysis of metrics.
D. Migrate from FTP to streaming transport, migrate from CSV to binary format, and develop machine learning analysis of metrics.

Answer: A

Explanation:
Explanation
The Avro binary format is the preferred format for loading compressed data. Avro data is faster to load because the data can be read in parallel, even when the data blocks are compressed.
Cloud Storage supports streaming transfers with the gsutil tool or boto library, based on HTTP chunked transfer encoding. Streaming data lets you stream data to and from your Cloud Storage account as soon as it becomes available without requiring that the data be first saved to a separate file. Streaming transfers are useful if you have a process that generates data and you do not want to buffer it locally before uploading it, or if you want to send the result from a computational pipeline directly into Cloud Storage.
References: https://cloud.google.com/storage/docs/streaming
https://cloud.google.com/bigquery/docs/loading-data

NEW QUESTION # 302
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