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| Section | Objectives |
|---|---|
| Topic 1: Ensuring application performance and reliability | - Fault tolerance and incident response - Monitoring and logging (Cloud Monitoring, Cloud Logging) - Performance optimization |
| Topic 2: Deploying applications | - CI/CD pipelines - Release management strategies - Containerization and deployment (Cloud Run, GKE) |
| Topic 3: Designing cloud-native applications | - Microservices design principles - Application architecture design - Scalability and resiliency patterns |
| Topic 4: Building and testing applications | - Unit and integration testing strategies - Application development on Google Cloud - Debugging and troubleshooting applications |
| Topic 5: Integrating Google Cloud services | - Using managed services (Pub/Sub, Firestore, Cloud SQL) - API integration and service-to-service communication |
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NEW QUESTION # 135
You are building a highly available and globally accessible application that will serve static content to users.
You need to configure the storage and serving components. You want to minimize management overhead and latency while maximizing reliability for users. What should you do?
Answer: B
NEW QUESTION # 136
You are developing an application hosted on Google Cloud that uses a MySQL relational database schema. The application will have a large volume of reads and writes to the database and will require backups and ongoing capacity planning. Your team does not have time to fully manage the database but can take on small administrative tasks. How should you host the database?
Answer: C
Explanation:
https://cloud.google.com/sql/docs/mysql
Cloud SQL for MySQL is a fully-managed database service that helps you set up, maintain, manage, and administer your MySQL relational databases on Google Cloud Platform.
NEW QUESTION # 137
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.
Which Google Cloud product addresses HipLocal's business requirements for service level indicators and objectives?
Answer: C
Explanation:
https://cloud.google.com/stackdriver/docs/solutions/slo-monitoring
NEW QUESTION # 138
Your company stores their source code in a Cloud Source Repositories repository. Your company wants to build and test their code on each source code commit to the repository and requires a solution that is managed and has minimal operations overhead.
Which method should they use?
Answer: B
Explanation:
Explanation
https://cloud.google.com/build/docs/automating-builds/create-manage-triggers#:~:text=A%20Cloud%20Build%2
NEW QUESTION # 139
You are developing a flower ordering application. Currently you have three microservices:
- Order Service (receives the orders)
- Order Fulfillment Service (processes the orders)
- Notification Service (notifies the customer when the order is filled) You need to determine how the services will communicate with each other. You want incoming orders to be processed quickly and you need to collect order information for fulfillment. You also want to make sure orders are not lost between your services and are able to communicate asynchronously. How should the requests be processed?
Answer: B
Explanation:
For efficient and reliable communication in a flower ordering application with microservices, the best approach is "Order request -> Order Service -> Pub/Sub queue -> Order Fulfillment Service
-> Firestore Database -> Pub/Sub queue -> Notification Service," ensuring quick processing and asynchronous communication without data loss.
https://cloud.google.com/pubsub/docs/overview
NEW QUESTION # 140
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