Free Access Google.Professional-Cloud-Developer.v2024-06-17.q108 Practice Test (Page 16)

Question 71

You have containerized a legacy application that stores its configuration on an NFS share. You need to deploy this application to Google Kubernetes Engine (GKE) and do not want the application serving traffic until after the configuration has been retrieved. What should you do?

A.Use the gsutil utility to copy files from within the Docker container at startup, and start the service using an ENTRYPOINT script.

B.Create a PersistentVolumeClaim on the GKE cluster. Access the configuration files from the volume, and start the service using an ENTRYPOINT script.

C.Use the COPY statement in the Dockerfile to load the configuration into the container image. Verify that the configuration is available, and start the service using an ENTRYPOINT script.

D.Add a startup script to the GKE instance group to mount the NFS share at node startup. Copy the configuration files into the container, and start the service using an ENTRYPOINT script.

Question 72

Your organization has recently begun an initiative to replatform their legacy applications onto Google Kubernetes Engine. You need to decompose a monolithic application into microservices. Multiple instances have read and write access to a configuration file, which is stored on a shared file system. You want to minimize the effort required to manage this transition, and you want to avoid rewriting the application code.
What should you do?

A.Create a new Cloud Storage bucket, and mount it via FUSE in the container.

B.Create a new persistent disk, and mount the volume as a shared PersistentVolume.

C.Create a new Filestore instance, and mount the volume as an NFS PersistentVolume.

D.Create a new ConfigMap and volumeMount to store the contents of the configuration file.

Question 73

You need to load-test a set of REST API endpoints that are deployed to Cloud Run. The API responds to HTTP POST requests Your load tests must meet the following requirements:
* Load is initiated from multiple parallel threads
* User traffic to the API originates from multiple source IP addresses.
* Load can be scaled up using additional test instances
You want to follow Google-recommended best practices How should you configure the load testing'?

A.Deploy a distributed load testing framework on a private Google Kubernetes Engine Cluster Deploy additional Pods as needed to initiate more traffic and support the number of concurrent users.

B.Create an image that has cURL installed and configure cURL to run a test plan Deploy the image in an unmanaged instance group, and run one instance of the image for each VM.

C.Create an image that has cURL installed and configure cURLto run a test plan Deploy the image in a managed instance group, and run one instance of the image for each VM.

D.Download the container image of a distributed load testing framework on Cloud Shell Sequentially start several instances of the container on Cloud Shell to increase the load on the API.

Question 74

You are building an API that will be used by Android and iOS apps The API must:
* Support HTTPs
* Minimize bandwidth cost
* Integrate easily with mobile apps
Which API architecture should you use?

A.RESTful APIs

B.MQTT for APIs

C.gRPC-based APIs

D.SOAP-based APIs

Question 75

Your team recently deployed an application on Google Kubernetes Engine (GKE). You are monitoring your application and want to be alerted when the average memory consumption of your containers is under 20% or above 80% How should you configure the alerts?

A.Create a Cloud Function that consumes the Monitoring API. Create a schedule to trigger the Cloud Function hourly and alert you if the average memory consumption is outside the defined range

B.Create a Cloud Function that runs on a schedule, executes kubect1 top on all the workloads on the cluster, and sends an email alert if the average memory consumption is outside the defined range

C.In Cloud Monitoring, create an alerting policy to notify you if the average memory consumption is outside the defined range

D.Write a script that pulls the memory consumption of the instance at the OS level and sends an email alert if the average memory consumption is outside the defined range

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