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| Section | Objectives |
|---|---|
| Designing cloud-native applications | - Application architecture design - Microservices design principles - Scalability and resiliency patterns |
| Building and testing applications | - Unit and integration testing strategies - Debugging and troubleshooting applications - Application development on Google Cloud |
| Integrating Google Cloud services | - API integration and service-to-service communication - Using managed services (Pub/Sub, Firestore, Cloud SQL) |
| Deploying applications | - CI/CD pipelines - Containerization and deployment (Cloud Run, GKE) - Release management strategies |
| Ensuring application performance and reliability | - Fault tolerance and incident response - Performance optimization - Monitoring and logging (Cloud Monitoring, Cloud Logging) |
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NEW QUESTION # 277
Your company's development teams want to use various open source operating systems in their Docker builds. When images are created in published containers in your company's environment, you need to scan them for Common Vulnerabilities and Exposures (CVEs). The scanning process must not impact software development agility. You want to use managed services where possible. What should you do?
Answer: C
Explanation:
https://cloud.google.com/container-analysis/docs/os-overview
NEW QUESTION # 278
Your company needs a database solution that stores customer purchase history and meets the following requirements:
- Customers can query their purchase immediately after submission.
- Purchases can be sorted on a variety of fields.
- Distinct record formats can be stored at the same time.
Which storage option satisfies these requirements?
Answer: C
Explanation:
https://cloud.google.com/datastore/docs/firestore-or-datastore
NEW QUESTION # 279
One of your deployed applications in Google Kubernetes Engine (GKE) is having intermittent performance issues. Your team uses a third-party logging solution. You want to install this solution on each node in your GKE cluster so you can view the logs. What should you do?
Answer: A
Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/daemonset#usage_patterns DaemonSets are useful for deploying ongoing background tasks that you need to run on all or certain nodes, and which do not require user intervention. Examples of such tasks include storage daemons like ceph, log collection daemons like fluent-bit, and node monitoring daemons like collectd.
NEW QUESTION # 280
You are developing a new ecommerce website for your company. You want customers to receive a customized email notification when they place an order. You need to configure this email service while minimizing deployment effort. What should you do?
Answer: B
Explanation:
Using a Cloud Function that triggers on a create event in Firestore provides a serverless, event- driven solution, minimizing deployment and infrastructure management. When a new order is created in Firestore, the Cloud Function is automatically triggered, allowing it to send a customized email notification to the customer. This approach requires minimal setup, scales automatically, and aligns with best practices for event-driven architectures.
Other options like hosting an application on Compute Engine or setting up an alerting policy based on log metrics would require more configuration and management effort, while Pub/Sub with an HTTP response trigger lacks direct integration for event-based triggers from Firestore.
NEW QUESTION # 281
Case Study 1 - 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.
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.
* Data is exported to an on-premises Teradata/Vertica data warehouse.
* Data analytics is performed in an on-premises Hadoop environment.
* The application has no logging.
* 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.
* Increase the number of concurrent users that can be supported.
* 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.
Technical Requirements
* The application and backend must provide usage metrics and monitoring.
* APIs require strong authentication and authorization.
* Logging must be increased, and data should be stored in a cloud analytics platform.
* Move to serverless architecture to facilitate elastic scaling.
* Provide authorized access to internal apps in a secure manner.
Which service should HipLocal use for their public APIs?
Answer: A
Explanation:
Google Cloud Endpoints is a distributed API management system that provides an API console, hosting, logging, monitoring, and other features to help you create, deploy, and manage APIs on a large scale.
NEW QUESTION # 282
......
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