You have created an application that is packaged into a Docker image. You want to deploy the Docker image as a workload on Google Kubernetes Engine. What should you do?

• A.Upload the image to Cloud Storage and create a Kubernetes Service referencing the image.
• B.Upload the image to Cloud Storage and create a Kubernetes Deployment referencing the image.
• C.Upload the image to Container Registry and create a Kubernetes Service referencing the image.
• D.Upload the image to Container Registry and create a Kubernetes Deployment referencing the image.

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You need to reduce GCP service costs for a division of your company using the fewest possible steps. You need to turn off all configured services in an existing GCP project. What should you do?

• A.1. Verify that you are assigned the Project Owners IAM role for this project.
  2. Locate the project in the GCP console, click Shut down and then enter the project ID.
• B.1. Verify that you are assigned the Project Owners IAM role for this project.
  2. Switch to the project in the GCP console, locate the resources and delete them.
• C.1. Verify that you are assigned the Organizational Administrator IAM role for this project.
  2. Locate the project in the GCP console, enter the project ID and then click Shut down.
• D.1. Verify that you are assigned the Organizational Administrators IAM role for this project.
  2. Switch to the project in the GCP console, locate the resources and delete them.

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A company wants to build an application that stores images in a Cloud Storage bucket and wants to generate thumbnails as well as resize the images. They want to use a google managed service that can scale up and scale down to zero automatically with minimal effort. You have been asked to recommend a service. Which GCP service would you suggest?

• A.Google Compute Engine
• B.Google App Engine
• C.Cloud Functions
• D.Google Kubernetes Engine

Correct Answer: C

Text Description automatically generated with low confidence

Cloud Functions is Google Cloud's event-driven serverless compute platform. It automatically scales based on the load and requires no additional configuration. You pay only for the resources used.
Ref: https://cloud.google.com/functions
While all other options i.e. Google Compute Engine, Google Kubernetes Engine, Google App Engine support autoscaling, it needs to be configured explicitly based on the load and is not as trivial as the scale up or scale down offered by Google's cloud functions.

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You need to manage a Cloud Spanner Instance for best query performance. Your instance in production runs in a single Google Cloud region. You need to improve performance in the shortest amount of time. You want to follow Google best practices for service configuration. What should you do?

• A.Create an alert in Cloud Monitoring to alert when the percentage of high priority CPU utilization reaches 45% If you exceed this threshold, add nodes lo your instance.
• B.Create an alert in Cloud Monitoring to alert when the percentage to high priority CPU utilization reaches
  45% Use database query statistics to identify queries that result in high CPU usage, and then rewrite those queries to optimize their resource usage
• C.Create an alert in Cloud Monitoring to alert when the percentage of high priority CPU utilization reaches 65% If you exceed this threshold, add nodes to your instance
• D.Create an alert in Cloud Monitoring to alert when the percentage of high priority CPU utilization reaches 65%. Use database query statistics to identity queries that result in high CPU usage, and then rewrite those queries to optimize their resource usage.

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You are using Google Kubernetes Engine with autoscaling enabled to host a new application. You want to expose this new application to the public, using HTTPS on a public IP address. What should you do?

• A.Create a Kubernetes Service of type NodePort for your application, and a Kubernetes Ingress to expose this Service via a Cloud Load Balancer.
• B.Create a Kubernetes Service of type ClusterIP for your application. Configure the public DNS name of your application using the IP of this Service.
• C.Create a Kubernetes Service of type NodePort to expose the application on port 443 of each node of the Kubernetes cluster. Configure the public DNS name of your application with the IP of every node of the cluster to achieve load-balancing.
• D.Create a HAProxy pod in the cluster to load-balance the traffic to all the pods of the application. Forward the public traffic to HAProxy with an iptable rule. Configure the DNS name of your application using the public IP of the node HAProxy is running on.

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