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Latest Cloud-Digital-Leader Exam Practice Questions

The practice questions for Cloud-Digital-Leader exam was last updated on 2025-06-03 .

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Question#1

What characteristics should an organization adopt to be a DevOps organization?

A. Teamwork over individual work

B. Obsession with Automation over preoccupation with manual work

C. Product based teams over component teams.

D. All of the Above

Explanation:

Question#2

Your customer is making a decision on whether to move to Google Cloud. Their key concern is about 10,000 VMs that are part of their IT infrastructure used across more than 110 applications. They are apprehensive of too many changes at this stage. They want to get to Google Cloud in the easiest way possible with minimal disruption.
What option would you recommend for them?

A. Use Migrate for Anthos

B. Lift and shift the VMs to serverless options like App Engine Flex.

C. Re-architect on-prem to use Kubernetes and then slowly extend and bridge the on-prem data center to the Google Cloud data center.

D. Use Migrate for Compute

Explanation:
Migrate for Compute Engine’s advanced replication migration technology copies instance data to Google Cloud in the background with no interruptions to the source workload that’s running.

https://cloud.google.com/migrate/compute-engine

Question#3

An organization needs to migrate specialized workloads to the cloud while maintaining their existing complex licensing and architecture.
What Google Cloud solution should the organization use?

A. Compute Engine

B. Bare Metal Solution

C. Cloud Run

D. Cloud Functions

Explanation:
“This solution provides a path to modernize your application infrastructure landscape, while maintaining your existing investments and architecture. With Bare Metal Solution, you can bring your specialized workloads to Google Cloud, allowing you access and integration with GCP services with minimal latency.”

Question#4

An organization is moving away from an on-premises infrastructure. Instead, they want to create, access, and share information virtually in the cloud.
What should the organization consider?

A. Built-in security when moving their data to the cloud

B. Replacing their perimeter security with data encryption keys

C. Optimizing cost-management with a capital expenditure model

D. Increased hardware capacity when moving their data to the cloud

Question#5

Your team has developed a machine learning model for your customer. The test results indicate very strong predictive capability. The model is then deployed in production. Evaluation of the predictions in production show that they are off by a pronounced margin.
What is the issue and how can you solve for it?

A. The model is under fitted. Train with less data.

B. The model is over fitted. Add more features to the model to fix it.

C. The model is fine since the test results are good. Fix the production of incoming data.

D. The model is overfitted. Train with more data.

Explanation:
If our ML model does well on the training set than on the production set, then we're likely over fitting. Training with more data would be one solution.

Exam Code: Cloud-Digital-LeaderQ & A: 411 Q&AsUpdated: 2025-06-03

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