Spring Sale Special Limited Time 70% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: buysanta

Exact2Pass Menu

Google Cloud Digital Leader exam

Last Update 21 hours ago Total Questions : 414

The Google Cloud Digital Leader exam content is now fully updated, with all current exam questions added 21 hours ago. Deciding to include Cloud-Digital-Leader practice exam questions in your study plan goes far beyond basic test preparation.

You'll find that our Cloud-Digital-Leader exam questions frequently feature detailed scenarios and practical problem-solving exercises that directly mirror industry challenges. Engaging with these Cloud-Digital-Leader sample sets allows you to effectively manage your time and pace yourself, giving you the ability to finish any Google Cloud Digital Leader exam practice test comfortably within the allotted time.

Question # 31

Which policy helps Google Cloud keep customer data private?

A.

Google tests the service availability of customer applications.

B.

Google does not use customer data for advertising purposes.

C.

Google migrates customer data to an offline server when a threat is detected.

D.

Google does not allow customers to change encryption keys.

Question # 32

An organization is planning to deploy a new workload to Google Cloud. They need an accurate estimate of the likely costs of running the workload. How should the organization create this estimate?

A.

Use the Google Cloud Pricing Calculator.

B.

Deploy workload to test environment to observe costs.

C.

Use historic costs of an existing similar workload.

D.

Refer to pricing information and manually calculate an estimate.

Question # 33

An organization wants to migrate a workload to the cloud without changing the application code or architecture Which migration path describes this approach?

A.

Replatformed

B.

Rehosted

C.

Reimagined

D.

Refactored

Question # 34

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

Question # 35

An organization is using three cloud vendors to maximize their available deployment locations worldwide They are using GKE Enterprise to deploy Kubernetes applications across different clouds What type is this deployment?

A.

On-premises

B.

Private cloud

C.

Multi-cloud

D.

Hybrid-cloud

Question # 36

An organization has a large archive of unstructured data, including video and audio files. Which storage solution should the organization use?

A.

Cloud SQL

B.

Cloud Spanner

C.

Cloud Bigtable

D.

Cloud Storage

Question # 37

An organization is concerned about the unlikely event that Google Cloud infrastructure is physically accessed by someone with malicious intent How is data protected in Google Cloud?

A.

Data is immediately deleted whenever an intrusion is detected

B.

Data is stored on quantum computers with unbreakable encryption.

C.

Data is stored using robust encryption

D.

Data is stored in random locations around the world to prevent it being found

Question # 38

An organization wants to transfer some of its data from Google Cloud Which of these statements is true?

A.

A technical support ticket must be raised with the correct department

B.

Customers have full control of their data and may transfer it at any time

C.

Outgoing data transfer must be enabled in the Google Cloud console.

D.

Customer data may not be transferred out of Google Cloud

Question # 39

Google offers Firebase, In terms of Firebase Console, any particular message that has to be deliv-ered to a customer at a certain degree of change in behavior can be managed through _________________.

A.

A/B testing

B.

Notification Composer

C.

Firebase Remote config.

D.

None of the above

Question # 40

Your client is a financial services company giving loans based on customer profiles. As part of the regulatory compliance, they have to collect a bunch of different documents with know your cus-tomer (KYC) information. They want to be able to process the information in these documents quickly and at scale. They want to integrate the chosen solution as quickly as possible. What are your options on Google Cloud?

A.

Integrate the Cloud Vision API to create a custom model to handle the documents.

B.

Create a model using TensorFlow and integrated it into the process workflow.

C.

Integrate the Lending DocAI and Document AI in two there processes workflow of the processing loan requests.

D.

Integrate the Natural Language API to read the request sent in by clients and to process the forms.

Go to page: