Google인증 Professional-Cloud-Architect시험자료시험패스는 고객님의 IT업계종사자로서의 전환점이 될수 있습니다.자격증을 취득하여 승진 혹은 연봉협상 방면에서 자신만의 위치를 지키고 더욱 멋진 IT인사로 거듭날수 있도록 고고싱할수 있습니다. Goldmile-Infobiz의 Google인증 Professional-Cloud-Architect시험자료덤프는 시장에서 가장 최신버전으로서 시험패스를 보장해드립니다. 응시 전Google Professional-Cloud-Architect시험자료인증시험덤프로 최고의 시험대비준비를 하시기 바랍니다. Goldmile-Infobiz의 경험이 풍부한 전문가들이Google Professional-Cloud-Architect시험자료인증시험관련자료들을 계획적으로 페펙트하게 만들었습니다.Google Professional-Cloud-Architect시험자료인증시험응시에는 딱 좋은 자료들입니다. 덤프에 있는 내용만 공부하시면 IT인증자격증 취득은 한방에 가능합니다.
Google인증 Professional-Cloud-Architect시험자료시험은 널리 승인받는 자격증의 시험과목입니다.
Goldmile-Infobiz의Google인증 Professional-Cloud-Architect - Google Certified Professional - Cloud Architect (GCP)시험자료덤프로 공부하여 시험불합격받으면 바로 덤프비용전액 환불처리해드리는 서비스를 제공해드리기에 아무런 무담없는 시험준비공부를 할수 있습니다. 많은 사이트에서Google 인증Professional-Cloud-Architect 인증문제 인증시험대비자료를 제공하고 있습니다. 그중에서 Goldmile-Infobiz를 선택한 분들은Google 인증Professional-Cloud-Architect 인증문제시험통과의 지름길에 오른것과 같습니다.
덤프에 있는 내용만 공부하시면 IT인증자격증 취득은 한방에 가능합니다. IT업계에 종사하는 분이 점점 많아지고 있는 지금 IT인증자격증은 필수품으로 되었습니다. IT인사들의 부담을 덜어드리기 위해Goldmile-Infobiz는Google인증 Professional-Cloud-Architect시험자료인증시험에 대비한 고품질 덤프를 연구제작하였습니다.
Google Professional-Cloud-Architect시험자료 - 많은 시간과 돈이 필요 없습니다.
우리는 고객이 첫 번째 시도에서Google Professional-Cloud-Architect시험자료 자격증시험을 합격할수있다는 것을 약속드립니다. Google Professional-Cloud-Architect시험자료 시험을 합격하여 자격증을 손에 넣는다면 취직 혹은 연봉인상 혹은 승진이나 이직에 확실한 가산점이 될것입니다. Google Professional-Cloud-Architect시험자료시험 어려운 시험이지만 저희Google Professional-Cloud-Architect시험자료덤프로 조금이나마 쉽게 따봅시다.
Google 인증 Professional-Cloud-Architect시험자료시험이 너무 어려워서 시험 볼 엄두도 나지 않는다구요? Goldmile-Infobiz 덤프만 공부하신다면 IT인증시험공부고민은 이젠 그만 하셔도 됩니다. Goldmile-Infobiz에서 제공해드리는Google 인증 Professional-Cloud-Architect시험자료시험대비 덤프는 덤프제공사이트에서 가장 최신버전이여서 시험패스는 한방에 갑니다.
Professional-Cloud-Architect PDF DEMO:
QUESTION NO: 1
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: 2
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: 3
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
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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: 4
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
QUESTION NO: 5
You deploy your custom Java application to Google App Engine. It fails to deploy and gives you the following stack trace.
What should you do?
A. Recompile the CLoakedServlet class using and MD5 hash instead of SHA1
B. Upload missing JAR files and redeploy your application.
C. Digitally sign all of your JAR files and redeploy your application
Answer: C
HP HPE0-J82 - 우리의 IT전문 팀은 부단한 업계경험과 연구를 이용하여 정확하고 디테일 한 시험문제와 답으로 여러분을 어시스트 해드리겠습니다. Goldmile-Infobiz에서 출시한 Google인증 ACAMS CAMS7덤프는 실제시험을 대비하여 연구제작된 멋진 작품으로서 Google인증 ACAMS CAMS7시험적중율이 최고입니다. Goldmile-Infobiz 의 학습가이드에는Google Google Professional-Data-Engineer인증시험의 예상문제, 시험문제와 답 임으로 100% 시험을 패스할 수 있습니다.우리의Google Google Professional-Data-Engineer시험자료로 충분한 시험준비하시는것이 좋을것 같습니다. Google인증 ISTQB ISTQB-CTFL시험을 통과하여 자격증을 취득하려면Goldmile-Infobiz의 Google인증 ISTQB ISTQB-CTFL덤프로 시험준비공부를 하세요. Goldmile-Infobiz에서는 여러분의 편리를 위하여 Goldmile-Infobiz만의 최고의 최신의Google Ping Identity PAP-001덤프를 추천합니다.
Updated: May 28, 2022