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The specialists with this sought-after Google Professional Cloud Architect certificate have an in-depth understanding of Cloud architecture & Google Cloud Platform that enables them to create, develop, and operate highly available, secure, robust, scalable, and highly dynamic solutions in compliance with the business objectives of the organizations. With some relevant experience in the industry as well as familiarity with the products within the Google Cloud sphere, it is easier to comprehend the required test domains.
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The Google Professional-Cloud-Architect exam covers a wide range of topics, including cloud solution design, GCP infrastructure, data storage and processing, security, compliance, and cost optimization. Candidates are expected to have a deep understanding of GCP services, architecture principles, and best practices for cloud computing. Professional-Cloud-Architect Exam also tests soft skills such as communication, project management, and problem-solving.
NEW QUESTION # 186
For this question, refer to the Mountkirk Games case study. Mountkirk Games wants to migrate from their current analytics and statistics reporting model to one that meets their technical requirements on Google Cloud Platform.
Which two steps should be part of their migration plan? (Choose two.)
Answer: B,C
NEW QUESTION # 187
For this question, refer to the Mountkirk Games case study. You are in charge of the new Game Backend Platform architecture. The game communicates with the backend over a REST API.
You want to follow Google-recommended practices. How should you design the backend?
Answer: A
NEW QUESTION # 188
Your customer support tool logs all email and chat conversations to Cloud Bigtable for retention and analysis.
What is the recommended approach for sanitizing this data of personally identifiable information or payment card information before initial storage?
Answer: D
Explanation:
Reference: https://cloud.google.com/solutions/pci-dss-compliance-ingcp# using_data_loss_prevention_api_to_sanitize_data
NEW QUESTION # 189
Case Study: 4 - Dress4Win case study
Company Overview
Dress4win is a web-based company that helps their users organize and manage their personal wardrobe using a website and mobile application. The company also cultivates an active social network that connects their users with designers and retailers. They monetize their services through advertising, e-commerce, referrals, and a freemium app model.
Company Background
Dress4win's application has grown from a few servers in the founder's garage to several hundred servers and appliances in a colocated data center. However, the capacity of their infrastructure is now insufficient for the application's rapid growth. Because of this growth and the company's desire to innovate faster, Dress4win is committing to a full migration to a public cloud.
Solution Concept
For the first phase of their migration to the cloud, Dress4win is considering moving their development and test environments. They are also considering building a disaster recovery site, because their current infrastructure is at a single location. They are not sure which components of their architecture they can migrate as is and which components they need to change before migrating them.
Existing Technical Environment
The Dress4win application is served out of a single data center location.
Databases:
MySQL - user data, inventory, static data
Redis - metadata, social graph, caching
Application servers:
Tomcat - Java micro-services
Nginx - static content
Apache Beam - Batch processing
Storage appliances:
iSCSI for VM hosts
Fiber channel SAN - MySQL databases
NAS - image storage, logs, backups
Apache Hadoop/Spark servers:
Data analysis
Real-time trending calculations
MQ servers:
Messaging
Social notifications
Events
Miscellaneous servers:
Jenkins, monitoring, bastion hosts, security scanners
Business Requirements
Build a reliable and reproducible environment with scaled parity of production. Improve security by defining and adhering to a set of security and Identity and Access Management (IAM) best practices for cloud.
Improve business agility and speed of innovation through rapid provisioning of new resources.
Analyze and optimize architecture for performance in the cloud. Migrate fully to the cloud if all other requirements are met.
Technical Requirements
Evaluate and choose an automation framework for provisioning resources in cloud. Support failover of the production environment to cloud during an emergency. Identify production services that can migrate to cloud to save capacity.
Use managed services whenever possible.
Encrypt data on the wire and at rest.
Support multiple VPN connections between the production data center and cloud environment.
CEO Statement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They are also concerned that a new competitor could use a public cloud platform to offset their up-front investment and freeing them to focus on developing better features.
CTO Statement
We have invested heavily in the current infrastructure, but much of the equipment is approaching the end of its useful life. We are consistently waiting weeks for new gear to be racked before we can start new projects. Our traffic patterns are highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
CFO Statement
Our capital expenditure is now exceeding our quarterly projections. Migrating to the cloud will likely cause an initial increase in spending, but we expect to fully transition before our next hardware refresh cycle. Our total cost of ownership (TCO) analysis over the next 5 years puts a cloud strategy between 30 to 50% lower than our current model.
For this question, refer to the Dress4Win case study.
The Dress4Win security team has disabled external SSH access into production virtual machines (VMs) on Google Cloud Platform (GCP). The operations team needs to remotely manage the VMs, build and push Docker containers, and manage Google Cloud Storage objects. What can they do?
Answer: B
NEW QUESTION # 190
To reduce costs, the Director of Engineering has required all developers to move their development infrastructure resources from on-premises virtual machines (VMs) to Google Cloud Platform. These resources go through multiple start/stop events during the day and require state to persist. You have been asked to design the process of running a development environment in Google Cloud while providing cost visibility to the finance department.
Which two steps should you take? Choose 2 answers
Answer: A,F
Explanation:
A is correct because persistent disks will not be deleted when an instance is stopped.
B is not correct because the --auto-delete flag has no effect unless the instance is deleted.
Stopping an instance does not delete the instance or the attached persistent disks.
C is not correct because labels are used to organize instances, not to monitor metrics.
D is correct because exporting daily usage and cost estimates automatically throughout the day to a BigQuery dataset is a good way of providing visibility to the finance department. Labels can then be used to group the costs based on team or cost center.
E is not correct because the state stored in local SSDs will be lost when the instance is stopped.
F is not correct because there is no need for persistent disks or snapshots if the state is to be stored in Cloud Storage.
https://cloud.google.com/compute/docs/instances/instance-life-cycle
https://cloud.google.com/sdk/gcloud/reference/compute/instances/set-disk-auto-delete#--auto- delete
https://cloud.google.com/sdk/gcloud/reference/compute/instances/create#--disk
https://cloud.google.com/compute/docs/disks/local-ssd#data_persistence
https://cloud.google.com/billing/docs/how-to/export-data-bigquery
https://cloud.google.com/resource-manager/docs/creating-managing-labels
NEW QUESTION # 191
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