Google Cloud-Digital-Leader Practice Exams
Last updated on Oct 12,2026- Exam Code: Cloud-Digital-Leader
- Exam Name: Google Cloud Digital Leader exam
- Certification Provider: Google
- Latest update: Oct 12,2026
How does a large hotel chain benefit from storing their customer reservation data in the cloud?
- A . On-premises hardware access to transaction data
- B . Real-time data transformation at scale within an on-premises database
- C . Real-time business transaction accuracy at scale
- D . Physical hardware access during peak demand
Your organization meant to purchase a 3-year Committed Use Discount, but accidentally purchased a 1-year Committed Use Discount instead.
What should your organization do?
- A . Contact your financial institution.
- B . Contact Trust and Safety.
- C . Contact Cloud Billing Support.
- D . Contact Technical Support.
An organization wants to build a data pipeline to transform its data so it can be reconciled in a data warehouse. The solution must be scalable and require little or no management.
Which Google product or service should the organization choose?
- A . Pub/Sub
- B . Dataflow
- C . Cloud Storage
- D . Cloud Bigtable
An organization has an on-premises IT infrastructure. Their customer-facing application repeatedly fails during peak usage.
What could be causing this issue?
- A . A serverless compute function struggles to scale.
- B . The application contains unclean data.
- C . They don’t have enough servers to meet the demand.
- D . The application is only configurable on-premises.
A cinema company wants to build a model to predict customer visit patterns for the coming year. They have three years of customer visit data across 300 theaters; however, the data has been stored in different formats by different theaters. They must train the ML model.
What should they do?
- A . Choose an ML model type that can process different formats of input data.
- B . Transform the data into a consistent format.
- C . Use the last year of data so there are fewer inconsistencies for the model to handle.
- D . Group different format types and train a different model for each group.
“With cloud messaging you can Customize and deliver messages accordingly to the predetermined time in the user’s local time zone.” Comment on the above statement.
- A . This statement is undefined.
- B . The above statement is partially true.
- C . The above statement is completely false.
- D . The above statement is completely true.
In terms of Infrastructure as a Service (IaaS) what are the benefits of it?
- A . IaaS offers virtually infinite flexibility and scalability, enterprises can get their work done more efficiently, ensuring faster development life cycles.
- B . IaaS resources are regularly available to businesses when they need them. As a result, enterprises reduce delays when expanding infrastructure and, alternatively, don’t waste resources by overbuilding capacity.
- C . IaaS resources are used on demand and enterprises only have to pay for the compute, storage, and networking resources that are actually used, IaaS costs are fairly predictable and can be easily contained and budgeted for.
- D . All of the Above
An organization is concerned that one of their applications takes too long to return a result According to Google’s "Four Golden Signals" which signal measures this aspect of the applications performance?
- A . Traffic
- B . Saturation
- C . Errors
- D . Latency
Your organization runs many workloads in different Google Cloud projects, each linked to the same billing account. Each project’s workload costs can vary from month to month, but the overall combined cost of all projects is relatively stable. Your organization needs to optimize its cost.
What should your organization do?
- A . Purchase a commitment per project for each project’s usual minimum
- B . Create a billing account per project, and link each project to a different billing account
- C . Turn on committed use discount sharing, and create a commitment for the combined usage
- D . Move all workloads from all different projects into one single consolidated project
An organization is training a machine learning model to make predictions.
What could improve the prediction accuracy of their model?
- A . An increase in storage capacity
- B . Higher network bandwidth
- C . An increase in training data
- D . Faster CPU processors