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Google Professional-Cloud-ArchItect（Google Certified Professional-Cloud Architect（GCP））認定試験は、Google Cloud Platformで働くクラウドアーキテクトのスキルと知識をテストするために設計されています。これは世界的に認められている認定であり、業界で非常に評価されています。この認定試験は、クラウドソリューションの設計と実装の経験があり、クラウドアーキテクチャでのキャリアの前進に関心のある専門家を対象としています。 Google Certified Professional - Cloud Architect (GCP) 認定 Professional-Cloud-Architect 試験問題 (Q31-Q36):質問 # 31
You have developed an application using Cloud ML Engine that recognizes famous paintings from uploaded images. You want to test the application and allow specific people to upload images for the next 24 hours. Not all users have a Google Account. How should you have users upload images?
A. Have users upload the images to Cloud Storage. Protect the bucket with a password that expires after 24 hours.
B. Have users upload the images to Cloud Storage using a signed URL that expires after 24 hours.
C. Create an App Engine web application where users can upload images for the next 24 hours. Authenticate users via Cloud Identity.
D. Create an App Engine web application where users can upload images. Configure App Engine to disable the application after 24 hours. Authenticate users via Cloud Identity.
正解：B
解説：
Explanation/Reference:
質問 # 32
Case Study: 3 - JencoMart Case Study
Company Overview
JencoMart is a global retailer with over 10,000 stores in 16 countries. The stores carry a range of goods, such as groceries, tires, and jewelry. One of the company's core values is excellent customer service. In addition, they recently introduced an environmental policy to reduce their carbon output by 50% over the next 5 years.
Company Background
JencoMart started as a general store in 1931, and has grown into one of the world's leading brands known for great value and customer service. Over time, the company transitioned from only physical stores to a stores and online hybrid model, with 25% of sales online. Currently, JencoMart has little presence in Asia, but considers that market key for future growth.
Solution Concept
JencoMart wants to migrate several critical applications to the cloud but has not completed a technical review to determine their suitability for the cloud and the engineering required for migration. They currently host all of these applications on infrastructure that is at its end of life and is no longer supported.
Existing Technical Environment
JencoMart hosts all of its applications in 4 data centers: 3 in North American and 1 in Europe, most applications are dual-homed.
JencoMart understands the dependencies and resource usage metrics of their on-premises architecture.
Application Customer loyalty portal
LAMP (Linux, Apache, MySQL and PHP) application served from the two JencoMart-owned U.S.
data centers.
Database
* Oracle Database stores user profiles
* PostgreSQL database stores user credentials
-homed in US West
Authenticates all users
Compute
* 30 machines in US West Coast, each machine has:
* 20 machines in US East Coast, each machine has:
-core CPU
RAID 1)
Storage
* Access to shared 100 TB SAN in each location
* Tape backup every week
Business Requirements
* Optimize for capacity during peak periods and value during off-peak periods
* Guarantee service availably and support
* Reduce on-premises footprint and associated financial and environmental impact.
* Move to outsourcing model to avoid large upfront costs associated with infrastructure purchase
* Expand services into Asia.
Technical Requirements
* Assess key application for cloud suitability.
* Modify application for the cloud.
* Move applications to a new infrastructure.
* Leverage managed services wherever feasible
* Sunset 20% of capacity in existing data centers
* Decrease latency in Asia
CEO Statement
JencoMart will continue to develop personal relationships with our customers as more people access the web. The future of our retail business is in the global market and the connection between online and in-store experiences. As a large global company, we also have a responsibility to the environment through 'green' initiatives and polices.
CTO Statement
The challenges of operating data centers prevents focus on key technologies critical to our long- term success. Migrating our data services to a public cloud infrastructure will allow us to focus on big data and machine learning to improve our service customers.
CFO Statement
Since its founding JencoMart has invested heavily in our data services infrastructure. However, because of changing market trends, we need to outsource our infrastructure to ensure our long- term success. This model will allow us to respond to increasing customer demand during peak and reduce costs.
For this question, refer to the JencoMart case study.
The migration of JencoMart's application to Google Cloud Platform (GCP) is progressing too slowly. The infrastructure is shown in the diagram.
You want to maximize throughput.
What are three potential bottlenecks? (Choose 3 answers.)
A. A tier of Google Cloud Storage that is not suited for this task
B. A separate storage layer outside the VMs, which is not suited for this task
C. A copy command that is not suited to operate over long distances
D. Complicated internet connectivity between the on-premises infrastructure and GCP
E. A single VPN tunnel, which limits throughput
F. Fewer virtual machines (VMs) in GCP than on-premises machines
正解：B、C、E
質問 # 33
Dress4Win has configured a new uptime check with Google Stackdriver for several of their legacy
services. The Stackdriver dashboard is not reporting the services as healthy.
What should they do?
A. Configure their load balancer to pass through the User-Agent HTTP header when the value matches
GoogleStackdriverMonitoring-UptimeChecks (https://cloud.google.com/monitoring)
B. Install the Stackdriver agent on all of the legacy web servers.
C. In the Cloud Platform Console download the list of the uptime servers' IP addresses and create an
inbound firewall rule
D. Configure their legacy web servers to allow requests that contain user-Agent HTTP header when the
value matches GoogleStackdriverMonitoring-UptimeChecks (https://cloud.google.com/monitoring)
正解：D
質問 # 34
Your company just finished a rapid lift and shift to Google Compute Engine for your compute needs. You have another 9 months to design and deploy a more cloud-native solution. Specifically, you want a system that is no-ops and auto-scaling. Which two compute products should you choose? Choose 2 answers
A. Google App Engine Standard Environment
B. Compute Engine with containers
C. Compute Engine with custom instance types
D. Compute Engine with managed instance groups
E. Google Container Engine with containers
正解：A、E
質問 # 35
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.
A. Apply VM CPU utilization label and include it in the BigQuery billing export
B. Use the - -auto-delete flag on all persistent disks and terminate the VM
C. Use the - -no-auto-delete flag on all persistent disks and stop the VM
D. Use Google BigQuery billing export and labels to associate cost to groups
E. Store all state into local SSD, snapshot the persistent disks, and terminate the VM
F. Store all state in Google Cloud Storage, snapshot the persistent disks, and terminate the VM
正解：A、E
解説：
C: Billing export to BigQuery enables you to export your daily usage and cost estimates automatically throughout the day to a BigQuery dataset you specify.
Labels applied to resources that generate usage metrics are forwarded to the billing system so that you can break down your billing charges based upon label criteria. For example, the Compute Engine service reports metrics on VM instances. If you deploy a project with 2,000 VMs, each of which is labeled distinctly, then only the first 1,000 label maps seen within the 1 hour window will be preserved.
E: You cannot stop an instance that has a local SSD attached. Instead, you must migrate your critical data off of the local SSD to a persistent disk or to another instance before you delete the instance completely.
You can stop an instance temporarily so you can come back to it at a later time. A stopped instance does not incur charges, but all of the resources that are attached to the instance will still be charged. Alternatively, if you are done using an instance, delete the instance and its resources to stop incurring charges.
Reference: https://cloud.google.com/billing/docs/how-to/export-data-bigquery https://cloud.google.com/compute ... eleting-an-instance
