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NEW QUESTION: 1
Case Study: 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.
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. Use the existing infrastructure to test the GCP-based backend at scale.
B. Build stress tests into each component of your application using resources internal to GCP to simulate load.
C. Create a set of static environments in GCP to test different levels of load -- for example, high, medium, and low.
D. Create a scalable environment in GCP for simulating production load.
Answer: D
Explanation:
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

NEW QUESTION: 2
お客様は、混合ポートフォリオまたはアプリケーションを迅速にプロビジョニングできるようにする、統合されたコンピューティング、マルチテラバイトストレージ、およびネットワーキングソリューションを必要としています。どのHPEプラットフォームをお勧めしますか？
A. HPE Edgeline
B. HPE Synergy
C. HPE ProLiant DL
D. HPE Superdome Flex
Answer: D

NEW QUESTION: 3
고 가용성 (HA) 환경에서 가상 라우터 주소를 네트워크에 대한 게이트웨이로 사용하는 기본 목표는 무엇입니까?
A. 두 라우터 중 첫 번째 라우터는 특정 트래픽을 더 잘 처리 할 수 ​​있고 두 번째 라우터는 나머지 트래픽을 원활하게 처리합니다.
B. 두 라우터 중 두 번째 라우터는 첫 번째 라우터가 있다는 것을 알고 서비스 거부 (DoS) 공격을 더 잘 흡수 할 수 있습니다.
C. 두 라우터 중 두 번째 라우터는 주기적으로 체크인하여 첫 번째 라우터가 작동하는지 확인할 수 있습니다.
D. 두 라우터 중 첫 번째 라우터가 실패하고 다시 설치되고 두 번째 라우터는 트래픽을 완벽하게 처리합니다.
Answer: D