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Gcp Google Professional-Cloud-Architect Exam:

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Topic 1, Mountkirk Games Case Study

 

Company Overview

 

Mountkirk Games makes online, session-based. multiplayer games for the most popular mobile platforms.

 

Company Background

 

Mountkirk Games builds all of their games with some server-side integration and has historically used cloud providers to lease physical servers. A few of their games were more popular than expected, and they had problems scaling their application servers, MySQL databases, and analytics tools. Mountkirk's 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.

 

Technical Requirements

 

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 customized Linx distro.

 

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

 

CEO Statement

 

Our last successful game did not scale well with our previous cloud provider, resuming 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 gams to target users.

 

CTO Statement

 

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.

 

CFO Statement

 

We are not capturing enough user demographic data usage metrics, and other KPIs. As a result, we do not engage the right users. We are not confident that our marketing is targeting the right users, and we are not selling enough premium Blast-Ups inside the games, which dramatically impacts our revenue.

 

Question #:1 - (Exam Topic 1)

 

For this question, refer to the Mountkirk Games case study. Mountkirk Games has deployed their new backend on Google Cloud Platform (GCP). You want to create a thorough 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?

 

A. Create a scalable environment in GCP for simulating production load.

B. Use the existing infrastructure to test the GCP-based backend at scale.

C. Build stress tests into each component of your application using resources internal to GCP to simulate load.

D. Create a set of static environments in GCP to test different levels of load — for example, high, medium, and low.

 

Answer: A

 

Explanation

 

From scenario: Requirements for Game Backend Platform Dynamically scale up or down based on game activity Connect to a managed NoSQL database service Run customize Linux distro

 

 

Question #:2 - (Exam Topic 1)

 

For this question, refer to the Mountkirk Games case study 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?

 

A. Create a project for development and test and another for staging and production.

B. Create a network for development and test and another for staging and production.

C. Create one sub network for development and another for staging and production.

D. Create one project for development, a second for staging and a third for production.

 

Answer: D

 

 

Topic 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.

 

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