IT업계에서 자기만의 자리를 잡고 싶다면Google Professional-Cloud-Architect인기덤프자료인증시험이 아주 좋은 자격증입니다. 만약Google Professional-Cloud-Architect인기덤프자료인증시험 자격증이 있다면 일에서도 많은 변화가 있을 것입니다, 연봉상승은 물론, 자기자신만의 공간도 넓어집니다. Google Professional-Cloud-Architect인기덤프자료인증덤프가 Goldmile-Infobiz전문가들의 끈임 없는 노력 하에 최고의 버전으로 출시되었습니다. Google인증 Professional-Cloud-Architect인기덤프자료시험을 등록했는데 마땅한 공부자료가 없어 고민중이시라면Goldmile-Infobiz의Google인증 Professional-Cloud-Architect인기덤프자료덤프를 추천해드립니다. Goldmile-Infobiz의Google인증 Professional-Cloud-Architect인기덤프자료덤프는 거의 모든 시험문제를 커버하고 있어 시험패스율이 100%입니다. Goldmile-Infobiz 에서 출시한 Google인증Professional-Cloud-Architect인기덤프자료시험덤프는 100%시험통과율을 보장해드립니다.
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Professional-Cloud-Architect PDF DEMO:
QUESTION NO: 1
For this question, refer to the Mountkirk Games case study.
Mountkirk Games wants you to design their new testing strategy. How should the test coverage differ from their existing backends on the other platforms?
A. Unit tests are no longer required, only end-to-end tests.
B. Tests should include directly testing the Google Cloud Platform (GCP) infrastructure.
C. Tests should scale well beyond the prior approaches.
D. Tests should be applied after the release is in the production environment.
Answer: C
Explanation
From Scenario:
A few of their games were more popular than expected, and they had problems scaling their application servers, MySQL databases, and analytics tools.
Requirements for Game Analytics Platform include: Dynamically scale up or down based on game activity
QUESTION NO: 2
For this question refer to the TerramEarth case study
Operational parameters such as oil pressure are adjustable on each of TerramEarth's vehicles to increase their efficiency, depending on their environmental conditions. Your primary goal is to increase the operating efficiency of all 20 million cellular and unconnected vehicles in the field How can you accomplish this goal?
A. Capture all operating data, train machine learning models that identify ideal operations, and run locally to make operational adjustments automatically.
B. Have your engineers inspect the data for patterns, and then create an algorithm with rules that make operational adjustments automatically.
C. Implement a Google Cloud Dataflow streaming job with a sliding window, and use Google Cloud
Messaging (GCM) to make operational adjustments automatically.
D. Capture all operating data, train machine learning models that identify ideal operations, and host in Google Cloud Machine Learning (ML) Platform to make operational adjustments automatically.
Answer: A
===================================================
Topic2, 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
* 20 TB
* Complex table structure
* Well maintained, clean data
* Strong backup strategy
* PostgreSQL database stores user credentials
* Single-homed in US West
No redundancy
Backed up every 12 hours
* 100% uptime service level agreement (SLA)
* Authenticates all users
Compute
* 30 machines in US West Coast, each machine has:
Twin, dual core CPUs
32GB of RAM
* Twin 250 GB HDD (RAID 1)
* 20 machines in US East Coast, each machine has:
Single dual-core CPU
24 GB of RAM
* Twin 250 GB HDD (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.
QUESTION NO: 3
Your organization requires that metrics from all applications be retained for 5 years for future analysis in possible legal proceedings. Which approach should you use?
A. Configure Stackdriver Monitoring for all Projects with the default retention policies.
B. Configure Stackdriver Monitoring for all Projects, and export to BigQuery.
C. Grant the security team access to the logs in each Project.
D. Configure Stackdriver Monitoring for all Projects, and export to Google Cloud Storage.
Answer: B
Explanation
https://cloud.google.com/monitoring/api/v3/metrics
Stackdriver Logging provides you with the ability to filter, search, and view logs from your cloud and open source application services. Allows you to define metrics based on log contents that are incorporated into dashboards and alerts. Enables you to export logs to BigQuery, Google Cloud
Storage, and Pub/Sub.
References: https://cloud.google.com/stackdriver/
QUESTION NO: 4
You need to develop procedures to verify resilience of disaster recovery for remote recovery using GCP. Your production environment is hosted on-premises. You need to establish a secure, redundant connection between your on premises network and the GCP network.
What should you do?
A. Verify that Dedicated Interconnect can replicate files to GCP. Verify that direct peering can establish a secure connection between your networks if Dedicated Interconnect fails.
B. Verify that Dedicated Interconnect can replicate files to GCP. Verify that Cloud VPN can establish a secure connection between your networks if Dedicated Interconnect fails.
C. Verify that the Transfer Appliance can replicate files to GCP. Verify that direct peering can establish a secure connection between your networks if the Transfer Appliance fails.
D. Verify that the Transfer Appliance can replicate files to GCP. Verify that Cloud VPN can establish a secure connection between your networks if the Transfer Appliance fails.
Answer: C
QUESTION NO: 5
For this question, refer to the TerramEarth case study.
The TerramEarth development team wants to create an API to meet the company's business requirements. You want the development team to focus their development effort on business value versus creating a custom framework. Which method should they use?
A. Use Google Container Engine with a Django Python container. Focus on an API for the public.
B. Use Google App Engine with the Swagger (open API Specification) framework. Focus on an API for the public.
C. Use Google Container Engine with a Tomcat container with the Swagger (Open API Specification) framework. Focus on an API for dealers and partners.
D. Use Google App Engine with Google Cloud Endpoints. Focus on an API for dealers and partners.
E. Use Google App Engine with a JAX-RS Jersey Java-based framework. Focus on an API for the public.
Answer: D
Explanation
https://cloud.google.com/endpoints/docs/openapi/about-cloud-
endpoints?hl=en_US&_ga=2.21787131.-1712523
https://cloud.google.com/endpoints/docs/openapi/architecture-overview
https://cloud.google.com/storage/docs/gsutil/commands/test
Develop, deploy, protect and monitor your APIs with Google Cloud Endpoints. Using an Open API
Specification or one of our API frameworks, Cloud Endpoints gives you the tools you need for every phase of API development.
From scenario:
Business Requirements
Decrease unplanned vehicle downtime to less than 1 week, without increasing the cost of carrying surplus inventory Support the dealer network with more data on how their customers use their equipment to better position new products and services Have the ability to partner with different companies - especially with seed and fertilizer suppliers in the fast-growing agricultural business - t o create compelling joint offerings for their customers.
Reference: https://cloud.google.com/certification/guides/cloud-architect/casestudy-terramearth
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Updated: May 28, 2022