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[General] Google Professional-Cloud-Architect Questions: An Incredible Exam Preparation Wa

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【General】 Google Professional-Cloud-Architect Questions: An Incredible Exam Preparation Wa

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Google Certified Professional – Cloud Architect (GCP) is a certification offered by Google Cloud Platform that validates the skills of an individual in designing, developing, and managing solutions using Google Cloud technologies. Google Certified Professional - Cloud Architect (GCP) certification is aimed at cloud architects, solution architects, and DevOps engineers who are responsible for designing, implementing, and managing solutions on the Google Cloud Platform.
Who should take the Google Professional Cloud Architect examIndividuals should pursue the Google Professional Cloud Architect Exam if they want to demonstrate their expertise and ability to design and develop Google Cloud architectures. It's perfect for solutions and/or enterprise architects, systems administrators or operations team members or simply any professional who wants in on this specific area of IT and cloud.
To become a Google Professional-Cloud-Architect, candidates must pass a 2-hour exam that consists of multiple-choice and scenario-based questions. Professional-Cloud-Architect Exam is conducted online, and candidates can take it from anywhere in the world. Google Certified Professional - Cloud Architect (GCP) certification is valid for two years, after which candidates must retake the exam to maintain their certification.
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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q136-Q141):NEW QUESTION # 136
For this question, refer to the Mountkirk Games case study. Mountkirk Games wants you to design a way to test the analytics platform's resilience to changes in mobile network latency. What should you do?
  • A. Build a test client that can be run from a mobile phone emulator on a Compute Engine virtual machine, and run multiple copies in Google Cloud Platform regions all over the world to generate realistic traffic.
  • B. Create an opt-in beta of the game that runs on players' mobile devices and collects response times from analytics endpoints running in Google Cloud Platform regions all over the world.
  • C. Add the ability to introduce a random amount of delay before beginning to process analytics files uploaded from mobile devices.
  • D. Deploy failure injection software to the game analytics platform that can inject additional latency to mobile client analytics traffic.
Answer: B
Explanation:
Topic 8, Mountkrik Games Case 3
Company overview
Mountkirk Games makes online, session-based, multiplayer games for mobile platforms. They have recently started expanding to other platforms after successfully migrating their on-premises environments to Google Cloud.
Their most recent endeavor is to create a retro-style first-person shooter (FPS) game that allows hundreds of simultaneous players to join a geo-specific digital arena from multiple platforms and locations. A real-time digital banner will display a global leaderboard of all the top players across every active arena.
Solution concept
Mountkirk Games is building a new multiplayer game that they expect to be very popular. They plan to deploy the game's backend on Google Kubernetes Engine so they can scale rapidly and use Google's global load balancer to route players to the closest regional game arenas. In order to keep the global leader board in sync, they plan to use a multi-region Spanner cluster.
Existing technical environment
The existing environment was recently migrated to Google Cloud, and five games came across using lift-and-shift virtual machine migrations, with a few minor exceptions. Each new game exists in an isolated Google Cloud project nested below a folder that maintains most of the permissions and network policies. Legacy games with low traffic have been consolidated into a single project. There are also separate environments for development and testing.
Business requirements
Support multiple gaming platforms.
Support multiple regions.
Support rapid iteration of game features.
Minimize latency.
Optimize for dynamic scaling.
Use managed services and pooled resources.
Minimize costs.
Technical requirements
Dynamically scale based on game activity.
Publish scoring data on a near real-time global leaderboard.
Store game activity logs in structured files for future analysis.
Use GPU processing to render graphics server-side for multi-platform support.
Support eventual migration of legacy games to this new platform.
Executive statement
Our last game was the first time we used Google Cloud, and it was a tremendous success. We were able to analyze player behavior and game telemetry in ways that we never could before. This success allowed us to bet on a full migration to the cloud and to start building all-new games using cloud-native design principles. Our new game is our most ambitious to date and will open up doors for us to support more gaming platforms beyond mobile. Latency is our top priority, although cost management is the next most important challenge. As with our first cloud-based game, we have grown to expect the cloud to enable advanced analytics capabilities so we can rapidly iterate on our deployments of bug fixes and new functionality.

NEW QUESTION # 137
You have an outage in your Compute Engine managed instance group: all instance keep restarting after 5 seconds. You have a health check configured, but autoscaling is disabled. Your colleague, who is a Linux expert, offered to look into the issue. You need to make sure that he can access the VMs. What should you do?
  • A. Perform a rolling restart on the instance group
  • B. Disable the health check for the instance group. Add his SSH key to the project-wide SSH keys
  • C. Grant your colleague the IAM role of project Viewer
  • D. Disable autoscaling for the instance group. Add his SSH key to the project-wide SSH Keys
Answer: B

NEW QUESTION # 138
You have been asked to select the storage system for the click-data of your company's large portfolio of websites. This data is streamed in from a custom website analytics package at a typical rate of 6,000 clicks per minute, with bursts of up to 8,500 clicks per second. It must been stored for future analysis by your data science and user experience teams. Which storage infrastructure should you choose?
  • A. Google Cloud SQL
  • B. Google cloud Datastore
  • C. Google Cloud Bigtable
  • D. Google Cloud Storage
Answer: C
Explanation:
Explanation
https://cloud.google.com/solutio ... s-partner-ecosystem
https://zulily-tech.com/2015/08/ ... kstream-processing/ Google Cloud Bigtable is a scalable, fully-managed NoSQL wide-column database that is suitable for both real-time access and analytics workloads.
Good for:
* Low-latency read/write access
* High-throughput analytics
* Native time series support
* Common workloads:
* IoT, finance, adtech
* Personalization, recommendations
* Monitoring
* Geospatial datasets
* Graphs

NEW QUESTION # 139
You need to evaluate your team readiness for a new GCP project. You must perform the evaluation and create a skills gap plan incorporates the business goal of cost optimization. Your team has deployed two GCP projects successfully to date. What should you do?
  • A. Allocate budget to hire skilled external consultants. Create a roadmap for your team to achieve Google Cloud certification based on job role.
  • B. Allocate budget for team training. Create a roadmap for your team to achieve Google Cloud certification based on job role.
  • C. Allocate budget for team training. Set a deadline for the new GCP project.
  • D. Allocate budget to hire skilled external consultants. Set a deadline for the new GCP project.
Answer: B
Explanation:
Explanation
https://services.google.com/fh/f ... r_of_excellence.pdf

NEW QUESTION # 140
For this question, refer to the Mountkirk Games case study.
Mountkirk Games wants to set up a real-time analytics platform for their new game. The new platform must meet their technical requirements. Which combination of Google technologies will meet all of their requirements?
  • A. Cloud Dataflow, Cloud Storage, Cloud Pub/Sub, and BigQuery
  • B. Cloud Pub/Sub, Compute Engine, Cloud Storage, and Cloud Dataproc
  • C. Cloud SQL, Cloud Storage, Cloud Pub/Sub, and Cloud Dataflow
  • D. Container Engine, Cloud Pub/Sub, and Cloud SQL
  • E. Cloud Dataproc, Cloud Pub/Sub, Cloud SQL, and Cloud Dataflow
Answer: A
Explanation:
Explanation
A real time requires Stream / Messaging so Pub/Sub, Analytics by Big Query.
Ingest millions of streaming events per second from anywhere in the world with Cloud Pub/Sub, powered by Google's unique, high-speed private network. Process the streams with Cloud Dataflow to ensure reliable, exactly-once, low-latency data transformation. Stream the transformed data into BigQuery, the cloud-native data warehousing service, for immediate analysis via SQL or popular visualization tools.
From scenario: They plan to deploy the game's backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics.
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 SQL queries to access at least 10 TB of historical data
* Process files that are regularly uploaded by users' mobile devices
* Use only fully managed services
References: https://cloud.google.com/solutions/big-data/stream-analytics/

NEW QUESTION # 141
......
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Posted at 4 hour before        Only Author  2#
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