Google Professional-Cloud-Developer Based on Real Exam Environment

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Question 36

You have an application deployed in Google Kubernetes Engine (GKE) that reads and processes Pub/Sub messages. Each Pod handles a fixed number of messages per minute. The rate at which messages are published to the Pub/Sub topic varies considerably throughout the day and week, including occasional large batches of messages published at a single moment.

You want to scale your GKE Deployment to be able to process messages in a timely manner. What GKE feature should you use to automatically adapt your workload?

Options:

Vertical Pod Autoscaler in Auto mode

Vertical Pod Autoscaler in Recommendation mode

Horizontal Pod Autoscaler based on an external metric

Horizontal Pod Autoscaler based on resources utilization

Question 37

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?

Options:

1) Create a managed instance group. Replicate the static content across the virtual machines (VMs)

2) Create an external HTTP(S) load balancer.

3) Enable Cloud CDN, and send traffic to the managed instance group.

1) Create an unmanaged instance group. Replicate the static content across the VMs.

2) Create an external HTTP(S) load balancer

3) Enable Cloud CDN, and send traffic to the unmanaged instance group.

1) Create a Standard storage class, regional Cloud Storage bucket. Put the static content in the bucket

2) Reserve an external IP address, and create an external HTTP(S) load balancer

3) Enable Cloud CDN, and send traffic to your backend bucket

1) Create a Standard storage class, multi-regional Cloud Storage bucket. Put the static content in the bucket.

2) Reserve an external IP address, and create an external HTTP(S) load balancer.

3) Enable Cloud CDN, and send traffic to your backend bucket.

Question 38

You manage your company's ecommerce platform's payment system, which runs on Google Cloud. Your company must retain user logs for 1 year for internal auditing purposes and for 3 years to meet compliance requirements. You need to store new user logs on Google Cloud to minimize on-premises storage usage and ensure that they are easily searchable. You want to minimize effort while ensuring that the logs are stored correctly. What should you do?

Options:

Store the logs in a Cloud Storage bucket with bucket lock turned on.

Store the logs in a Cloud Storage bucket with a 3-year retention period.

Store the logs in Cloud Logging as custom logs with a custom retention period.

Store the logs in a Cloud Storage bucket with a 1-year retention period. After 1 year, move the logs to another bucket with a 2-year retention period.

Question 39

You are evaluating developer tools to help drive Google Kubernetes Engine adoption and integration with your development environment, which includes VS Code and IntelliJ. What should you do?