Evan Cook Evan Cook's Profile Page

Evan Cook Evan Cook

0 Course Enrolled • 0 Course Completed

Biography

Professional-Cloud-Architect考證 & Professional-Cloud-Architect證照指南

BONUS!!! 免費下載NewDumps Professional-Cloud-Architect考試題庫的完整版：https://drive.google.com/open?id=1B9gYme42JwK7XxAQjKM0NducqzmBBStA

我們NewDumps Google的Professional-Cloud-Architect考試認證培訓資料，仿真度特別高，你可以在真實的考試中遇到一樣的題，這只能說明我們的IT精英團隊的能力實在是高。現在很多IT人員雄心勃勃，為了使自己的配置檔相容市場需求，通過這些熱門IT認證來實現自己的理想，在 Google的Professional-Cloud-Architect考試中取得優異的成績。NewDumps Google的Professional-Cloud-Architect考試認證培訓資料能幫助你實現你的理想，它擁有眾多考生實踐的證明，有了NewDumps Google的Professional-Cloud-Architect考試認證培訓資料，夢想之門將為你打開。

該考試包含多項選擇和多選題，評估考生的能力，包括設計和規劃雲解決方案架構，管理和提供 GCP 基礎設施，以及優化技術和業務流程。考試還測試考生對與 GCP 相關的安全性和合規性問題的知識。

>> Professional-Cloud-Architect考證 <<

最優質的Professional-Cloud-Architect考證擁有模擬真實考試環境與場境的軟件VCE版本＆權威的Google Professional-Cloud-Architect

你是IT人士嗎？你想成功嗎？如果你想成功你就購買我們NewDumps Google的Professional-Cloud-Architect考試認證培訓資料吧，我們的培訓資料是通過實踐檢驗了的，它可以幫助你順利通過IT認證，有了NewDumps Google的Professional-Cloud-Architect考試認證培訓資料你在IT行業的將有更好的發展，可以享受高級白領的待遇，可以在國際上闖出一片天地，擁有高端的技術水準，你還在擔心什麼，NewDumps Google的Professional-Cloud-Architect考試認證培訓資料將會滿足你這一欲望，我們與你同甘共苦，一起接受這挑戰。

Google Professional-Cloud-Architect 認證是為那些希望展示自己在使用 Google Cloud Platform (GCP) 設計、開發、管理堅固、安全、可擴展和高可用雲解決方案方面的專業知識的個人而設計的。這個認證考試非常適合經常使用 GCP 的雲架構師、解決方案架構師和 IT 專業人員。

最新的 Google Cloud Certified Professional-Cloud-Architect 免費考試真題 (Q39-Q44):

問題 #39
For this question, refer to the Dress4Win case study.
Dress4Win has asked you to recommend machine types they should deploy their application servers to. How should you proceed?

A. Identify the number of virtual cores and RAM associated with the application server virtual machines align them to a custom machine type in the cloud, monitor performance, and scale the machine types up until the desired performance is reached.
B. Recommend that Dress4Win deploy into production with the smallest instances available, monitor them over time, and scale the machine type up until the desired performance is reached.
C. Recommend that Dress4Win deploy application servers to machine types that offer the highest RAM to CPU ratio available.
D. Perform a mapping of the on-premises physical hardware cores and RAM to the nearest machine types in the cloud.

答案：A

問題 #40
For this question, refer to the TerramEarth case study. To be compliant with European GDPR regulation, TerramEarth is required to delete data generated from its European customers after a period of 36 months when it contains personal data. In the new architecture, this data will be stored in both Cloud Storage and BigQuery. What should you do?

A. Create a BigQuery time-partitioned table for the European data, and set the partition expiration period to
36 months. For Cloud Storage, use gsutil to enable lifecycle management using a DELETE action with an Age condition of 36 months.
B. Create a BigQuery table for the European data, and set the table retention period to 36 months. For Cloud Storage, use gsutil to create a SetStorageClass to NONE action when with an Age condition of 36 months.
C. Create a BigQuery table for the European data, and set the table retention period to 36 months. For Cloud Storage, use gsutil to enable lifecycle management using a DELETE action with an Age condition of 36 months.
D. Create a BigQuery time-partitioned table for the European data, and set the partition period to 36 months. For Cloud Storage, use gsutil to create a SetStorageClass to NONE action with an Age condition of 36 months.

答案：A

解題說明：
Explanation
https://cloud.google.com/bigquery/docs/managing-partitioned-tables#partition-expiration
https://cloud.google.com/storage/docs/lifecycle
Topic 7, Mountkrik Games Case 2
Company Overview
Mountkirk Games makes online, session-based, multiplayer games for mobile platforms. They build all of their games using some server-side integration. Historically, they have used cloud providers to lease physical servers.
Due to the unexpected popularity of some of their games, they have had problems scaling their global audience, application servers, MySQL databases, and analytics tools.
Their current model is to write game statistics to files and send them through an ETL tool that loads them into a centralized MySQL database for reporting.
Solution Concept
Mountkirk Games is building a new game, which they expect to be very popular. They plan to deploy the game's backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics, and take advantage of its autoscaling server environment and integrate with a managed NoSQL database.
Business Requirements
* Increase to a global footprint.
* Improve uptime - downtime is loss of players.
* Increase efficiency of the cloud resources we use.
* Reduce latency to all customers.
Technical Requirements
Requirements for Game Backend Platform
* Dynamically scale up or down based on game activity.
* Connect to a transactional database service to manage user profiles and game state.
* Store game activity in a timeseries database service for future analysis.
* As the system scales, ensure that data is not lost due to processing backlogs.
* Run hardened Linux distro.
Requirements for Game Analytics Platform
* Dynamically scale up or down based on game activity
* Process incoming data on the fly directly from the game servers
* Process data that arrives late because of slow mobile networks
* Allow queries to access at least 10 TB of historical data
* Process files that are regularly uploaded by users' mobile devices
Executive Statement
Our last successful game did not scale well with our previous cloud provider, resulting in lower user adoption and affecting the game's reputation. Our investors want more key performance indicators (KPIs) to evaluate the speed and stability of the game, as well as other metrics that provide deeper insight into usage patterns so we can adapt the game to target users. Additionally, our current technology stack cannot provide the scale we need, so we want to replace MySQL and move to an environment that provides autoscaling, low latency load balancing, and frees us up from managing physical servers.

問題 #41
You are moving an application that uses MySQL from on-premises to Google Cloud. The application will run on Compute Engine and will use Cloud SQL. You want to cut over to the Compute Engine deployment of the application with minimal downtime and no data loss to your customers. You want to migrate the application with minimal modification. You also need to determine the cutover strategy. What should you do?

A. 1. Set up Cloud VPN to provide private network connectivity between the Compute Engine application and the on-premises MySQL server.
2.Stop the on-premises application.
3.Start the Compute Engine application, configured to read and write to the on-premises MySQL server.
4.Create the replication configuration in Cloud SQL.
5.Configure the source database server to accept connections from the Cloud SQL replica.
6.Finalize the Cloud SQL replica configuration.
7.When replication has been completed, stop the Compute Engine application.
8.Promote the Cloud SQL replica to a standalone instance.
9.Restart the Compute Engine application, configured to read and write to the Cloud SQL standalone instance.
B. 1. Set up Cloud SQL proxy and MySQL proxy.
2.Create a mysqldump of the on-premises MySQL server.
3.Upload the dump to a Cloud Storage bucket.
4.Import the dump into Cloud SQL.
5.Stop the on-premises application.
6.Start the Compute Engine application.
C. 1. Stop the on-premises application.
2.Create a mysqldump of the on-premises MySQL server.
3.Upload the dump to a Cloud Storage bucket.
4.Import the dump into Cloud SQL.
5.Start the application on Compute Engine.
D. 1. Set up Cloud VPN to provide private network connectivity between the Compute Engine application and the on-premises MySQL server.
2.Stop the on-premises application.
3.Create a mysqldump of the on-premises MySQL server.
4.Upload the dump to a Cloud Storage bucket.
5.Import the dump into Cloud SQL.
6.Modify the source code of the application to write queries to both databases and read from its local database.
7.Start the Compute Engine application.
8.Stop the on-premises application.

答案：D

問題 #42
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
-  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.
For this question, refer to the JencoMart case study.
The JencoMart security team requires that all Google Cloud Platform infrastructure is deployed using a least privilege model with separation of duties for administration between production and development resources. What Google domain and project structure should you recommend?

A. Create two G Suite accounts to manage users: one with a single project for all development applications and one with a single project for all production applications.
B. Create a single G Suite account to manage users with one project for the development/test/staging environment and one project for the production environment.
C. Create a single G Suite account to manage users with each stage of each application in its own project.
D. Create two G Suite accounts to manage users: one for development/test/staging and one for production. Each account should contain one project for every application.

答案：C

解題說明：
https://cloud.google.com/resource-manager/docs/creating-managing-folders Refer to the diagram on top, different envs are created at the project level.
https://cloud.google.com/docs/enterprise/best-practices-for-enterprise-organizations
"A general recommendation is to have one project per application per environment. For example, if you have two applications, "app1" and "app2", each with a development and production environment, you would have four projects: app1-dev, app1-prod, app2-dev, app2-prod. This isolates the environments from each other, so changes to the development project do not accidentally impact production, and gives you better access control, since you can (for example) grant all developers access to development projects but restrict production access to your CI/CD pipeline."

問題 #43
For this question, refer to the Dress4Win case study. You are responsible for the security of data stored in Cloud Storage for your company, Dress4Win. You have already created a set of Google Groups and assigned the appropriate users to those groups. You should use Google best practices and implement the simplest design to meet the requirements.
Considering Dress4Win's business and technical requirements, what should you do?

A. Assign custom IAM roles to the Google Groups you created in order to enforce security requirements.
Encrypt data with a customer-supplied encryption key when storing files in Cloud Storage.
B. Assign predefined IAM roles to the Google Groups you created in order to enforce security requirements. Ensure that the default Cloud KMS key is set before storing files in Cloud Storage.
C. Assign predefined IAM roles to the Google Groups you created in order to enforce security requirements.
Utilize Google's default encryption at rest when storing files in Cloud Storage.
D. Assign custom IAM roles to the Google Groups you created in order to enforce security requirements.
Enable default storage encryption before storing files in Cloud Storage.

答案：B

解題說明：
Explanation
https://cloud.google.com/iam/docs/understanding-service-accounts
Topic 6, TerramEarth Case 2
Company Overview
TerramEarth manufactures heavy equipment for the mining and agricultural industries. About 80% of their business is from mining and 20% from agriculture. They currently have over 500 dealers and service centers in
100 countries. Their mission is to build products that make their customers more productive.
Solution Concept
There are 20 million TerramEarth vehicles in operation that collect 120 fields of data per second. Data is stored locally on the vehicle and can be accessed for analysis when a vehicle is serviced. The data is downloaded via a maintenance port. This same port can be used to adjust operational parameters, allowing the vehicles to be upgraded in the field with new computing modules.
Approximately 200,000 vehicles are connected to a cellular network, allowing TerramEarth to collect data directly. At a rate of 120 fields of data per second with 22 hours of operation per day, TerramEarth collects a total of about 9 TB/day from these connected vehicles.
Existing Technical Environment
TerramEarth's existing architecture is composed of Linux and Windows-based systems that reside in a single
U.S. west coast based data center. These systems gzip CSV files from the field and upload via FTP, and place the data in their data warehouse. Because this process takes time, aggregated reports are based on data that is 3 weeks old.
With this data, TerramEarth has been able to preemptively stock replacement parts and reduce unplanned downtime of their vehicles by 60%. However, because the data is stale, some customers are without their vehicles for up to 4 weeks while they wait for replacement parts.
Business Requirements
Decrease unplanned vehicle downtime to less than 1 week.
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 - to create compelling joint offerings for their customers.
Technical Requirements
Expand beyond a single datacenter to decrease latency to the American Midwest and east coast.
Create a backup strategy.
Increase security of data transfer from equipment to the datacenter.
Improve data in the data warehouse.
Use customer and equipment data to anticipate customer needs.
Application 1: Data ingest
A custom Python application reads uploaded datafiles from a single server, writes to the data warehouse.
Compute:
Windows Server 2008 R2
- 16 CPUs
- 128 GB of RAM
- 10 TB local HDD storage
Application 2: Reporting
An off the shelf application that business analysts use to run a daily report to see what equipment needs repair.
Only 2 analysts of a team of 10 (5 west coast, 5 east coast) can connect to the reporting application at a time.
Compute:
Off the shelf application. License tied to number of physical CPUs
- Windows Server 2008 R2
- 16 CPUs
- 32 GB of RAM
- 500 GB HDD
Data warehouse:
A single PostgreSQL server
- RedHat Linux
- 64 CPUs
- 128 GB of RAM
- 4x 6TB HDD in RAID 0
Executive Statement
Our competitive advantage has always been in the manufacturing process, with our ability to build better vehicles for lower cost than our competitors. However, new products with different approaches are constantly being developed, and I'm concerned that we lack the skills to undergo the next wave of transformations in our industry. My goals are to build our skills while addressing immediate market needs through incremental innovations.

問題 #44
......

Professional-Cloud-Architect證照指南: https://www.newdumpspdf.com/Professional-Cloud-Architect-exam-new-dumps.html

100%保證通過第一次 Professional-Cloud-Architect 考試，作為一位Google Professional-Cloud-Architect考生而言，作好充分的準備可以幫助您通過Professional-Cloud-Architect考試，你已經報名參加了Professional-Cloud-Architect認證考試嗎，Google Professional-Cloud-Architect考證如果你還是不相信的話，那就趕快自己來體驗一下吧，不管是在Professional-Cloud-Architect forum 交流還是在Professional-Cloud-Architect 學習圈子內交流，我們的潛意識裡都會想要超越更多的人，我們在練習Professional-Cloud-Architect問題集時，必然會遇到一些自己不會做Professional-Cloud-Architect考題以及一些自己經常做錯的Professional-Cloud-Architect考題，Google Professional-Cloud-Architect考證這個認證資格能為大家帶來很大的好處，第三，關於練習Professional-Cloud-Architect問題集的時間安排。

好咧，妳們坐穩了，尤娜，妳為什麽現在開始給那個男人當狗了，100%保證通過第一次 Professional-Cloud-Architect 考試，作為一位Google Professional-Cloud-Architect考生而言，作好充分的準備可以幫助您通過Professional-Cloud-Architect考試，你已經報名參加了Professional-Cloud-Architect認證考試嗎？

高質量的Professional-Cloud-Architect考證，由Google權威專家撰寫

如果你還是不相信的話，那就趕快自己來體驗一下吧，不管是在Professional-Cloud-Architect forum 交流還是在Professional-Cloud-Architect 學習圈子內交流，我們的潛意識裡都會想要超越更多的人。

BONUS!!! 免費下載NewDumps Professional-Cloud-Architect考試題庫的完整版：https://drive.google.com/open?id=1B9gYme42JwK7XxAQjKM0NducqzmBBStA