Important Google Cloud Digital Leader Exam Questions

Answer: A

Answer: D

Explanation:

Creating a machine learning (ML) model to analyze the demographics and behaviors of customers who have previously closed their accounts is an effective approach to identify at-risk customers. This model can predict which current customers are most likely to leave, allowing the organization to proactively offer discounts or improved services to retain them.

Option D: Create a ML model based on the demographics and activities of previous customers that exited is correct because it uses data-driven insights and AI to identify patterns and predict future customer behavior.

Google Cloud AI Platform: Building Machine Learning Models

Google Cloud Customer Retention Solutions: Using AI and Machine Learning

Answer: B

Explanation:

Migrate for Compute Engine enables you to lift and shift workloads at scale to Google Cloud Compute Engine with minimal changes and risk.

Answer: C

Answer: B

Explanation:

Create reservations on Compute Engine and BigQuery. You can reserve capacity in advance and use it over a period of time. You could also get a cost advantage.

=> There is no need for involved support. It is self-serve via the console.

=> You can reserve resources in advance when you have the need for it. And when you want to take a pay-per-use approach, that is also possible.

=> It is not a good idea to be lock in/hoard resources; you'll pay unnecessarily for resources. Also, it is difficult to time exactly when the demand will be.

https://cloud.google.com/compute/docs/instances/reserving-zonal-resources

https://cloud.google.com/bigquery/docs/reservations-intro