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| Section | Objectives |
|---|---|
| Topic 1: Deploy applications | - Deploy applications to Google Cloud
|
| Topic 2: Integrate applications with Google Cloud services | - Integrate with data and storage services
|
| Topic 3: Manage application performance monitoring | - Monitor and troubleshoot applications
|
| Topic 4: Design scalable, available, and reliable cloud-native applications | - Design highly performant applications and APIs
|
| Topic 5: Build and test applications | - Manage development environments
|
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質問 # 168
You are porting an existing Apache/MySQL/PHP application stack from a single machine to Google Kubernetes Engine. You need to determine how to containerize the application. Your approach should follow Google-recommended best practices for availability. What should you do?
正解：A
解説：
https://cloud.google.com/blog/products/containers-kubernetes/7-best-practices-for-building-containers
https://cloud.google.com/architecture/best-practices-for-building-containers
"classic Apache/MySQL/PHP stack: you might be tempted to run all the components in a single container.
However, the best practice is to use two or three different containers: one for Apache, one for MySQL, and potentially one for PHP if you are running PHP-FPM."
質問 # 169
Case Study 2 - HipLocal
Company Overview
HipLocal is a community application designed to facilitate communication between people in close proximity. It is used for event planning and organizing sporting events, and for businesses to connect with their local communities. HipLocal launched recently in a few neighborhoods in Dallas and is rapidly growing into a global phenomenon. Its unique style of hyper-local community communication and business outreach is in demand around the world.
Executive Statement
We are the number one local community app; it's time to take our local community services global. Our venture capital investors want to see rapid growth and the same great experience for new local and virtual communities that come online, whether their members are 10 or 10000 miles away from each other.
Solution Concept
HipLocal wants to expand their existing service, with updated functionality, in new regions to better serve their global customers. They want to hire and train a new team to support these regions in their time zones. They will need to ensure that the application scales smoothly and provides clear uptime data, and that they analyze and respond to any issues that occur.
Existing Technical Environment
HipLocal's environment is a mix of on-premises hardware and infrastructure running in Google Cloud Platform. The HipLocal team understands their application well, but has limited experience in global scale applications. Their existing technical environment is as follows:
- Existing APIs run on Compute Engine virtual machine instances hosted in GCP.
- State is stored in a single instance MySQL database in GCP.
- Release cycles include development freezes to allow for QA testing.
- The application has no logging.
- Applications are manually deployed by infrastructure engineers during periods of slow traffic on weekday evenings.
- There are basic indicators of uptime; alerts are frequently fired when the APIs are unresponsive.
Business Requirements
HipLocal's investors want to expand their footprint and support the increase in demand they are seeing. Their requirements are:
- Expand availability of the application to new regions.
- Support 10x as many concurrent users.
- Ensure a consistent experience for users when they travel to different regions.
- Obtain user activity metrics to better understand how to monetize their product.
- Ensure compliance with regulations in the new regions (for example, GDPR).
- Reduce infrastructure management time and cost.
- Adopt the Google-recommended practices for cloud computing.
Develop standardized workflows and processes around application lifecycle management.
Define service level indicators (SLIs) and service level objectives (SLOs).
Technical Requirements
- Provide secure communications between the on-premises data center and cloud-hosted applications and infrastructure.
- The application must provide usage metrics and monitoring.
- APIs require authentication and authorization.
- Implement faster and more accurate validation of new features.
- Logging and performance metrics must provide actionable information to be able to provide debugging information and alerts.
- Must scale to meet user demand.
For this question, refer to the HipLocal case study.
How should HipLocal redesign their architecture to ensure that the application scales to support a large increase in users?
正解：D
解説：
HipLocal Standard Cloud Computing Scenario:
MySQL to Cloud SQL definitely needed.
Managed Instance group and load balancer are required.
Memorystore (Redis) to store user's session data is required.
質問 # 170
You have two tables in an ANSI-SQL compliant database with identical columns that you need to quickly combine into a single table, removing duplicate rows from the result set. What should you do?
正解：B
解説：
A is not correct because UNION ALL does not remove duplicates.
B is not correct because there is no indication of a column to potentially join on.
C is not correct because WITH statements simply define query results as an intra-statement table.
D is correct because the UNION operator combines result sets while removing duplicates.
https://www.techonthenet.com/sql/union.php
質問 # 171
You have an application deployed in production. When a new version is deployed, you want to ensure that all production traffic is routed to the new version of your application. You also want to keep the previous version deployed so that you can revert to it if there is an issue with the new version.
Which deployment strategy should you use?
正解：D
質問 # 172
You are tasked with using C++ to build and deploy a microservice for an application hosted on Google Cloud. The code needs to be containerized and use several custom software libraries that your team has built. You do not want to maintain the underlying infrastructure of the application.
How should you deploy the microservice?
正解：D
質問 # 173
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