Professional-Cloud-Architect: Professional Cloud Architect on Google Cloud Platform

Mountkirk Games wants you to design their new testing strategy. How should the test coverage differ from their existing backends on the other platforms?

Tests should scale well beyond the prior approaches
Unit tests are no longer required, only end-to-end tests
Tests should be applied after the release is in the production environment
Tests should include directly testing the Google Cloud Platform (GCP) infrastructure

Correct answer: A

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

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

Mountkirk Games has deployed their new backend on Google Cloud Platform (GCP). You want to create a through testing process for new versions of the backend before they are released to the public. You want the testing environment to scale in an economical way. How should you design the process?

Create a scalable environment in GCP for simulating production load
Use the existing infrastructure to test the GCP-based backend at scale
Build stress tests into each component of your application using resources internal to GCP to simulate load
Create a set of static environments in GCP to test different levels of load - for example, high, medium, and low

Correct answer: A

Explanation:

From scenario: Requirements for Game Backend Platform1. Dynamically scale up or down based on game activity2. Connect to a managed NoSQL database service3. Run customize Linux distro

From scenario: Requirements for Game Backend Platform

1. Dynamically scale up or down based on game activity

2. Connect to a managed NoSQL database service

3. Run customize Linux distro

Mountkirk Games wants to set up a continuous delivery pipeline. Their architecture includes many small services that they want to be able to update and roll back quickly. Mountkirk Games has the following requirements:

Services are deployed redundantly across multiple regions in the US and Europe
Only frontend services are exposed on the public internet
They can provide a single frontend IP for their fleet of services
Deployment artifacts are immutable

Which set of products should they use?

Google Cloud Storage, Google Cloud Dataflow, Google Compute Engine
Google Cloud Storage, Google App Engine, Google Network Load Balancer
Google Kubernetes Registry, Google Container Engine, Google HTTP(S) Load Balancer
Google Cloud Functions, Google Cloud Pub/Sub, Google Cloud Deployment Manager

Correct answer: C

Mountkirk Games' gaming servers are not automatically scaling properly. Last month, they rolled out a new feature, which suddenly became very popular. A record number of users are trying to use the service, but many of them are getting 503 errors and very slow response times. What should they investigate first?

Verify that the database is online
Verify that the project quota hasn't been exceeded
Verify that the new feature code did not introduce any performance bugs
Verify that the load-testing team is not running their tool against production

Correct answer: B

Mountkirk Games needs to create a repeatable and configurable mechanism for deploying isolated application environments. Developers and testers can access each other's environments and resources, but they cannot access staging or production resources. The staging environment needs access to some services from production.

What should you do to isolate development environments from staging and production?

Create a project for development and test and another for staging and production
Create a network for development and test and another for staging and production
Create one subnetwork for development and another for staging and production
Create one project for development, a second for staging and a third for production

Correct answer: D

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?

Kubernetes Engine, Cloud Pub/Sub, and Cloud SQL
Cloud Dataflow, Cloud Storage, Cloud Pub/Sub, and BigQuery
Cloud SQL, Cloud Storage, Cloud Pub/Sub, and Cloud Dataflow
Cloud Dataproc, Cloud Pub/Sub, Cloud SQL, and Cloud Dataflow
Cloud Pub/Sub, Compute Engine, Cloud Storage, and Cloud Dataproc

Correct answer: B

Explanation:

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, exactlyonce, 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 Platform1. Dynamically scale up or down based on game activity2. Process incoming data on the fly directly from the game servers3. Process data that arrives late because of slow mobile networks4. Allow SQL queries to access at least 10 TB of historical data5. Process files that are regularly uploaded by users' mobile devices6. Use only fully managed servicesReferences: https://cloud.google.com/solutions/big-data/stream-analytics/

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, exactlyonce, 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

1. Dynamically scale up or down based on game activity

2. Process incoming data on the fly directly from the game servers

3. Process data that arrives late because of slow mobile networks

4. Allow SQL queries to access at least 10 TB of historical data

5. Process files that are regularly uploaded by users' mobile devices

6. Use only fully managed services

References: https://cloud.google.com/solutions/big-data/stream-analytics/

For this question, refer to the Mountkirk Games case study. Mountkirk Games wants to migrate from their current analytics and statistics reporting model to one that meets their technical requirements on Google Cloud Platform.

Which two steps should be part of their migration plan? (Choose two.)

Evaluate the impact of migrating their current batch ETL code to Cloud Dataflow.
Write a schema migration plan to denormalize data for better performance in BigQuery.
Draw an architecture diagram that shows how to move from a single MySQL database to a MySQL cluster.
Load 10 TB of analytics data from a previous game into a Cloud SQL instance, and run test queries against the full dataset to confirm that they complete successfully.
Integrate Cloud Armor to defend against possible SQL injection attacks in analytics files uploaded to Cloud Storage.

Correct answer: AB

For this question, refer to the Mountkirk Games case study. You need to analyze and define the technical architecture for the compute workloads for your company, Mountkirk Games. Considering the Mountkirk Games business and technical requirements, what should you do?

Create network load balancers. Use preemptible Compute Engine instances.
Create network load balancers. Use non-preemptible Compute Engine instances.
Create a global load balancer with managed instance groups and autoscaling policies. Use preemptible Compute Engine instances.
Create a global load balancer with managed instance groups and autoscaling policies. Use non-preemptible Compute Engine instances.

Correct answer: D

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.)

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.
Begin packaging their game backend artifacts in container images and running them on Google Engine to improve the ability to scale up or down based on game activity.
Set up a CI/CD pipeline using Jenkins and Spinnaker to automate canary deployments and improve development velocity.
Adopt a schema versioning tool to reduce downtime when adding new game features that require storing additional player data in the database.
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.

Correct answer: CE

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?

Deploy failure injection software to the game analytics platform that can inject additional latency to mobile client analytics traffic.
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.
Add the ability to introduce a random amount of delay before beginning to process analytics files uploaded from mobile devices.
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.

Correct answer: C

Vendor:	Google
Exam Code:	Professional-Cloud-Architect
Exam Name:	Professional Cloud Architect on Google Cloud Platform
Date:	Sep 17, 2024
File Size:	1 MB

Download Professional Cloud Architect on Google Cloud Platform.Professional-Cloud-Architect.VCEplus.2024-09-17.37q.tqb

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