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[General] Quiz Google - Professional-Cloud-Developer - Google Certified Professional - Clo

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【General】 Quiz Google - Professional-Cloud-Developer - Google Certified Professional - Clo

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Google Certified Professional - Cloud Developer Sample Questions (Q236-Q241):NEW QUESTION # 236
You have an application running in a production Google Kubernetes Engine (GKE) cluster. You use Cloud Deploy to automatically deploy your application to your production GKE cluster. As part of your development process: you are planning to make frequent changes to the applications source code and need to select the tools to test the changes before pushing them to your remote source code repository. Your toolset must meet the following requirements:
* Test frequent local changes automatically.
* Local deployment emulates production deployment.
Which tools should you use to test building and running a container on your laptop using minimal resources'?
  • A. Minikube and Skaffold
  • B. Docker Compose and dockerd
  • C. Terraform and kubeadm
  • D. kaniko and Tekton
Answer: B

NEW QUESTION # 237
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.
HipLocal's .net-based auth service fails under intermittent load.
What should they do?
  • A. Use a Compute Engine cluster for the service.
  • B. Use App Engine for autoscaling.
  • C. Use a dedicated Compute Engine virtual machine instance for the service.
  • D. Use Cloud Functions for autoscaling.
Answer: B
Explanation:
https://cloud.google.com/appengi ... stances-are-managed Automatic scaling creates instances based on request rate, response latencies, and other application metrics. You can specify thresholds for each of these metrics, as well as a minimum number instances to keep running at all times.

NEW QUESTION # 238
You are developing an external-facing application on GKE that provides a streaming API to users.
You want to offer two subscription tiers, "basic" and "premium", to users based on the number of API requests that each client application is allowed to make each day. You want to design the application architecture to provide subscription tiers to users while following Google- recommended practices. What should you do?
  • A. 1. Configure the service on GKE as a backend to an Apigee proxy.
    2. Provide API keys to users to identify client applications.
    3. Configure a SpikeArrest policy in Apigee for API keys based on the subscription tier.
  • B. 1. Deploy the application to two GKE clusters, one for each subscription tier. Configure each cluster to have a separate Ingress.
    2. Configure each cluster as a backend to an Apigee proxy.
    3. Provide API keys to users to identify client applications.
    4. Configure separate rate limits for client applications based on the subscription tier.
  • C. 1. Configure the service on GKE as a backend to two new projects, each with a separate Application Load Balancer.
    2. Configure the quota "Queries per second (QPS) per region per network" for each project individually.
    3. Provide users with API endpoints based on the subscription tier.
  • D. 1. Configure the service on GKE as a backend to an Apigee proxy.
    2. Provide API keys to users to identify client applications.
    3. Configure a Quota policy in Apigee for API keys based on the subscription tier.
Answer: D
Explanation:
https://cloud.google.com/kuberne ... ncepts/gke-editions

NEW QUESTION # 239
You are building a Workflow to process complex data analytics for your application. You plan to use the Workflow to execute a Cloud Run job while following Google-recommended practices.
What should you do?
  • A. Configure an Eventarc trigger to invoke the Cloud Run job, and include the trigger in a step of the Workflow.
  • B. Use the Cloud Run Admin API connector to execute the Cloud Run job within the Workflow.
  • C. Create a Pub/Sub topic, and subscribe the Cloud Run job to the topic.
  • D. Determine the entry point of the Cloud Run job, and send an HTTP request from the Workflow.
Answer: B
Explanation:
Using the Cloud Run Admin API connector within Workflows is the Google-recommended way to directly execute a Cloud Run job from a Workflow, providing secure and managed integration.

NEW QUESTION # 240
Which service should HipLocal use to enable access to internal apps?
  • A. Cloud Identity-Aware Proxy
  • B. Cloud Armor
  • C. Virtual Private Cloud
  • D. Cloud VPN
Answer: A
Explanation:
Reference: https://cloud.google.com/iap/doc ... -prem-apps-overview

NEW QUESTION # 241
......
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