我々のProfessional-Cloud-Architect試験練習問題集を直ちに使用すれば、試験で成功を収めるペースを加速させることができます、Google Professional-Cloud-Architect 問題例 さらに重要なことは、当社の学習教材が多くの人々が目標を達成し、関連する認証を取得するのに役立っていることを実践が証明していることです、Professional-Cloud-Architectテスト準備を購入した後、Professional-Cloud-Architect試験問題を購入してから1年間、無料アップデートをお楽しみいただけます、Google Professional-Cloud-Architect 問題例 弊社は一年の無料更新を提供します、この問題集はProfessional-Cloud-Architect認定試験に関連する最も優秀な参考書ですから、Professional-Cloud-Architect試験の質問で、Professional-Cloud-Architect試験で勝つ自信があります。
ただ花厳かざりさん、死ぬほどいいタイミングだったなって思っただけです 桔流Professional-Cloud-Architect学習資料きりゅうと花厳はその日、店から少し離れた駐車場で待ち合わせていた、マンションごと停電してしまえば、冬籠り中の雪兎はあっさり凍死＆餓死する自信がある。
せめて自分が持ちうるノウハウを惜しみなく与え、助手の間は定時帰宅を促す、一緒にやProfessional-Cloud-Architect問題例ろうぜ にこりと明るい笑顔を向けられ、海は心臓をぎゅっと掴まれたような気がした、前に座ってた女の子にかかって、泣き出しちゃったりして あなたが犯人だったんですか？
Professional-Cloud-Architect問題集を今すぐダウンロード
校長先生に気が付かれないように、おちんちんの入ったビニールを部屋の隅に置いて、シャhttps://www.jpshiken.com/Professional-Cloud-Architect_shiken.htmlワーを浴びてくると言って、バスルームの前に行き、男物の下着を着ていることを悟られないように素早く脱いだ、はい、あなたの弁護士は通常、安全で保守的な文書を使用します。
行ってもいいが、お前んち遠いんだよな 言いながら、本多は煙草を灰皿へ入れた、準備プロセスを簡素化する場合は、良いニュースがあります、あなたは守られてる 俺はこの子を、守れるのかな、仕事を探すとき、もちろん、多くの会社は、Jpshiken人事マネージャーがあなたの能力を証明するためにProfessional-Cloud-Architect認定を取得した志願者に何を求めるのか、したがって、私たちが得た知識を証明するために他の方法を使用する必要があります Professional-Cloud-Architectテスト準備を取得して資格証明書を取得し、包括的な能力のすべての側面を示すなど、大学で勉強しますGoogle Certified Professional - Cloud Architect (GCP)試験ガイドは、短期間で完璧に自分を証明するのに役立ちます。
唐突に意地悪く、そんなことを聞かれたものだから一瞬、惚けた、ダディがちゃんと、教えProfessional-Cloud-Architect過去問題てくれたからよ ──やっぱり、狂ってる、それがお互いのためだからね、今日は生姜湯だ、江戸づめの者たちは、他藩の同役の者たちとたえず会合し、さまざまな情報を仕入れてくる。
試験の準備方法-一番優秀なProfessional-Cloud-Architect 問題例試験-実用的なProfessional-Cloud-Architect 過去問題
この問題を解決するためには、アートの本質を規定する際に が採用した方法をより深く説明すProfessional-Cloud-Architect問題例る必要があり、 の方法を過去のさまざまなアート理解の考えとリンクさせる必要があります、視聴率こそ民衆の圧力、いかに作業をすれども、左の二つの籠のなかのプレートはへらないのだ。
力を一点に集中して壁を壊します、が、そっと兄の容子（ようす）を見ると、兄はhttps://www.jpshiken.com/Professional-Cloud-Architect_shiken.html遠くへ眼をやりながら、何事もないように歩いていた、戦たたかって戦たたかって戦たたかいつくしてやろうとおもった、ステージ裏の廊下で、５人で円陣を組む。
もっと気持ちよくなるがよいぞ 指は屈伸運動をしながら、淫らな壁を刺激してProfessional-Cloud-Architect問題例くる、お風呂上りの水滴で濡れた身体を、姉は何度もタオルで拭いてくれた、ですから良人うちのひとも仕舞には結句お金がいらなくていゝと云うて居りました。
ご存知のように、高品質のProfessional-Cloud-Architect学習資料は候補者にとって非常に重要です、大方はたくさんのお金、時間、エネルギーを費やしているものの、途中であきらめている人もいます、少しずつ死んでいく雀の傍らで、コーヒーを飲みながら、推理小説を読んだ。
櫻井が署の裏口に至る階段を下りるProfessional-Cloud-Architect認定資格と、狭いガラス戸越しに白いセダン車が車止めに入ってくるのが見えた。
Google Certified Professional - Cloud Architect (GCP)問題集を今すぐダウンロード
質問 43
For this question, refer to the Mountkirk Games case study. Mountkirk Games wants to design their
solution for the future in order to take advantage of cloud and technology improvements as they become
available. Which two steps should they take? (Choose two.)
- A. Store as much analytics and game activity data as financially feasible today so it can be used to train
machine learning models to predict user behavior in the future. - B. Adopt a schema versioning tool to reduce downtime when adding new game features that require
storing additional player data in the database. - C. Set up a CI/CD pipeline using Jenkins and Spinnaker to automate canary deployments and improve
development velocity. - D. Begin packaging their game backend artifacts in container images and running them on Kubernetes
Engine to improve the availability to scale up or down based on game activity. - E. Implement a weekly rolling maintenance process for the Linux virtual machines so they can apply
critical kernel patches and package updates and reduce the risk of 0-day vulnerabilities.
正解: C,E
質問 44
One of the developers on your team deployed their application in Google Container Engine with the Dockerfile below. They report that their application deployments are taking too long.
You want to optimize this Dockerfile for faster deployment times without adversely affecting the app's functionality.
Which two actions should you take? Choose 2 answers.
- A. Remove dependencies from requirements.txt
- B. Use a slimmed-down base image like Alpine Linux
- C. Copy the source after he package dependencies (Python and pip) are installed
- D. Remove Python after running pip
- E. Use larger machine types for your Google Container Engine node pools
正解: B,C
解説:
The speed of deployment can be changed by limiting the size of the uploaded app, limiting the complexity of the build necessary in the Dockerfile, if present, and by ensuring a fast and reliable internet connection.
Note: Alpine Linux is built around musl libc and busybox. This makes it smaller and more resource efficient than traditional GNU/Linux distributions. A container requires no more than 8 MB and a minimal installation to disk requires around 130 MB of storage. Not only do you get a fully-fledged Linux environment but a large selection of packages from the repository.
Reference: https://groups.google.com/forum/#!topic/google-appengine/hZMEkmmObDU
https://www.alpinelinux.org/about/
質問 45
For this question, refer to the TerramEarth case study. TerramEarth has decided to store data files in Cloud Storage. You need to configure Cloud Storage lifecycle rule to store 1 year of data and minimize file storage cost.
Which two actions should you take?
- A. Create a Cloud Storage lifecycle rule with Age: "90", Storage Class: "Standard", and Action: "Set to Nearline", and create a second GCS life-cycle rule with Age: "91", Storage Class: "Nearline", and Action: "Set to Coldline".
- B. Create a Cloud Storage lifecycle rule with Age: "30", Storage Class: "Standard", and Action: "Set to Coldline", and create a second GCS life-cycle rule with Age: "365", Storage Class: "Coldline", and Action: "Delete".
- C. Create a Cloud Storage lifecycle rule with Age: "30", Storage Class: "Coldline", and Action: "Set to Nearline", and create a second GCS life-cycle rule with Age: "91", Storage Class: "Coldline", and Action: "Set to Nearline".
- D. Create a Cloud Storage lifecycle rule with Age: "30", Storage Class: "Standard", and Action: "Set to Coldline", and create a second GCS life-cycle rule with Age: "365", Storage Class: "Nearline", and Action: "Delete".
正解: D
解説:
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.
質問 46
Case Study: 5 - Dress4win
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. The application has grown from a few servers in the founder's garage to several hundred servers and appliances in a collocated 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 moving their development and test environments. They are also 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. All servers run Ubuntu LTS v16.04.
Databases:
MySQL. 1 server for user data, inventory, static data:
- MySQL 5.8
- 8 core CPUs
- 128 GB of RAM
- 2x 5 TB HDD (RAID 1)
Redis 3 server cluster for metadata, social graph, caching. Each server is:
- Redis 3.2
- 4 core CPUs
- 32GB of RAM
Compute:
40 Web Application servers providing micro-services based APIs and static content.
- Tomcat - Java
- Nginx
- 4 core CPUs
- 32 GB of RAM
20 Apache Hadoop/Spark servers:
- Data analysis
- Real-time trending calculations
- 8 core CPUS
- 128 GB of RAM
- 4x 5 TB HDD (RAID 1)
3 RabbitMQ servers for messaging, social notifications, and events:
- 8 core CPUs
- 32GB of RAM
Miscellaneous servers:
- Jenkins, monitoring, bastion hosts, security scanners
- 8 core CPUs
- 32GB of RAM
Storage appliances:
iSCSI for VM hosts
Fiber channel SAN - MySQL databases
- 1 PB total storage; 400 TB available
NAS - image storage, logs, backups
- 100 TB total storage; 35 TB available
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.
Technical Requirements
Easily create non-production environment in the cloud.
Implement an automation framework for provisioning resources in cloud.
Implement a continuous deployment process for deploying applications to the on-premises
datacenter or cloud.
Support failover of the production environment to cloud during an emergency.
Encrypt data on the wire and at rest.
Support multiple private connections between the production data center and cloud
environment.
Executive Statement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They are also concerned that a competitor could use a public cloud platform to offset their up-front investment and free them to focus on developing better features. Our traffic patterns are highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
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 for a public cloud strategy achieves a cost reduction between 30% and 50% over our current model.
For this question, refer to the Dress4Win case study. You want to ensure that your on-premises architecture meets business requirements before you migrate your solution.
What change in the on-premises architecture should you make?
- A. Resize compute resources to match predefined Compute Engine machine types.
- B. Downgrade MySQL to v5.7, which is supported by Cloud SQL for MySQL.
- C. Containerize the micro services and host them in Google Kubernetes Engine.
- D. Replace RabbitMQ with Google Pub/Sub.
正解: B
質問 47
You are building a continuous deployment pipeline for a project stored in a Git source repository and want to ensure that code changes can be verified deploying to production. What should you do?
- A. Use Jenkins to build the staging branches and the master branch. Build and deploy changes to production for 10% of users before doing a complete rollout.
- B. Use Jenkins to monitor tags in the repository. Deploy staging tags to a staging environment for testing.
- C. Use Spinnaker to deploy builds to production using the red/black deployment strategy so that changes can easily be rolled back.
- D. Use Spinnaker to deploy builds to production and run tests on production deployments.
正解: B
解説:
After testing, tag the repository for production and deploy that to the production environment.
Reference:
README.md
質問 48
......
