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NEW QUESTION: 1
Case Study: 7 - Mountkirk Games
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.
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. 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.
C. 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.
D. Set up a CI/CD pipeline using Jenkins and Spinnaker to automate canary deployments and improve development velocity.
E. Adopt a schema versioning tool to reduce downtime when adding new game features that require storing additional player data in the database.
Answer: B,D
NEW QUESTION: 2
To implement a standard Adminhtml form for a custom data model, which two of the following must you do? (Choose two)
A. Implement a sub-class of Mage_Adminhtml_Block_Widget_Form.
B. Add a set of configuration values in the module's config-xml defining the form fields to be displayed.
C. Create sub-classes of Mage_Adminhtml_Block_Form_Element_Abstract for each form field to be presented.
D. Implement a sub-class of Mage_Adminhtml_Block_Form_Abstract.
E. Declare your module's block class prefix in the config.xml file.
Answer: A,E
NEW QUESTION: 3
ある会社が、写真用のクラウドストレージと共有アプリケーションを構築しています。
ユーザーは自分のコンピューターや携帯電話から写真をアップロードして、クラウドに永続的に保存することができます。
写真がアップロードされた後、ほとんどは最初の40〜90日間頻繁に共有およびダウンロードされます。
写真は通常、90日後にアクセスされる頻度が少なくなりますが、一部の写真は高いアクセス率を維持します。
アプリケーションは最初に写真をAmazonS3Standardに保存します。
ソリューションアーキテクトは、ユーザーエクスペリエンスやデータの耐久性を犠牲にすることなく、アプリケーションの運用コストを削減する必要があります。
これらの要件を最もコスト効率よく満たすために、ソリューションアーキテクトはどの戦略を使用する必要がありますか？
A. 90日後にオブジェクトをS3StandardからS3Glacierに移行するためのS3ライフサイクルルールを定義します
B. 65日後にオブジェクトをS3StandardからS3Standard Infrequent Access（S3 Standard-IA）に移行するためのS3ライフサイクルルールを定義します
C. S3ライフサイクルルールを定義して、オブジェクトをS3標準からS3ワンゾーンに移行します-90日後にアクセス頻度が低い（S3ワンゾーン-IA）
D. オブジェクトをS3インテリジェントティアリングにすぐに移行するためのS3ライフサイクルルールを定義します
Answer: D
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