Latest Google Cloud-Digital-Leader Practice Test Questions, Google Cloud Digital Leader Exam Dumps [Q35-Q51]

October 8, 2025October 8, 2025 examdumpsLatest Google Cloud-Digital-Leader Practice Test Questions, Google Cloud Digital Leader Exam Dumps [Q35-Q51] 0 Comment

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Latest Google Cloud-Digital-Leader Practice Test Questions, Google Cloud Digital Leader Exam Dumps

Oct-2025 Pass Google Cloud-Digital-Leader Exam in First Attempt Easily

Google Cloud Digital Leader exam covers a broad range of topics, including cloud computing fundamentals, Google Cloud Platform services, data analytics, machine learning, and artificial intelligence. Cloud-Digital-Leader exam also assesses a candidate’s knowledge of Google Cloud’s security and compliance features, as well as their ability to develop and implement a digital transformation strategy that aligns with their organization’s business objectives.

QUESTION 35
Your customer’s IT team is in the process of modernizing their customer-facing applications. They’ve witnessed others getting good results from employing microservices, and they’re keen to adopt it themselves.
The first application that they are modernizing has about 5 different sub-parts, which they have identified will be the services. They also identify that each of them has different scale requirements – some services like user login are less frequently used while others like transac-tions are heavily used. What technical strategy would you recommend for them?

Containerize the services and orchestrate them with Google Kubernetes Engine.

Retain the original application in Compute Engine and scale it as needed using Managed Instance Groups.

Retain the original application as a backup and also for separately scaling the ser-vices, create new application binaries.

Retain the original application in Compute Engine and scale it as needed using Unmanaged Instance Groups.

Containers and Kubernetes are ideal for the kind of requirement mentioned here – separate microservices that need to scale independently.
Google Kubernetes Engine (GKE) provides a managed environment for deploying, managing, and scaling your containerized applications using Google infrastructure. The GKE environment consists of multiple machines (specifically, Compute Engine instances) grouped together to form a cluster.
Reference link- https://cloud.google.com/kubernetes-engine/docs/concepts/kubernetes-engine-overview

QUESTION 36
An organization wants to introduce a new image recognition login system What should the organization do to follow SRE principles?

Roll out the new system to a subset of employees to test it out

Roll out the new system to all employees to collect as much data as possible

Avoid rolling out the new system because it may have security flaws

Avoid rolling out the new system because it may violate privacy policy

To follow Site Reliability Engineering (SRE) principles, the recommended approach when introducing a new system, like an image recognition login system, is to minimize risk and test in a controlled environment. SRE emphasizes progressive rollouts and monitoring to ensure reliability, stability, and security.
Option A: Roll out the new system to a subset of employees to test it out is the correct answer because this aligns with SRE practices, such as:
* Canary Releases: Deploying a new feature to a small group of users (subset of employees) allows the organization to test the system in a real-world environment with minimal risk. This practice helps identify any potential issues, gather feedback, and monitor system behavior without impacting the entire organization.
* Gradual Rollouts: SRE encourages gradual rollouts to detect and mitigate any failures early, reducing the blast radius in case of a malfunction or security issue. This ensures the reliability of the system while maintaining service quality.
* Monitoring and Observability: Rolling out to a subset allows for comprehensive monitoring and collection of metrics to ensure the system performs as expected. If issues arise, they can be quickly identified and resolved before a wider deployment.
Option B: Roll out the new system to all employees to collect as much data as possible is not advisable under SRE principles because it poses a higher risk of widespread failure or security issues.
Option C: Avoid rolling out the new system because it may have security flaws and Option D: Avoid rolling out the new system because it may violate privacy policy are also incorrect in the context of SRE.
While security and privacy are crucial, outright avoidance does not align with SRE practices. Instead, risk is managed through controlled rollouts, testing, and monitoring.
References:
* Google Cloud SRE Workbook: Canarying Releases
* Google Cloud SRE Principles: Monitoring, Progressive Rollouts
* Google Cloud Architect’s Guide: Reliability and Risk Management

QUESTION 37
An organization is deploying their servers to the cloud using the infrastructure as a service model.
In the shared responsibility model, what is the cloud provider responsible for?

Security of the operating system

Physical security

Data access policies

Security of the software

In the Infrastructure as a Service (IaaS) model under the shared responsibility model, the cloud provider (e.g., Google Cloud) is responsible for the physical security of the infrastructure, including data centers, hardware, and the physical environment. The customer is responsible for managing the operating system, applications, and data.
Option B: Physical security is correct because it describes the cloud provider’s responsibility in securing the physical aspects of the infrastructure.
Reference:
Google Cloud Shared Responsibility Model: Customer and Provider Responsibilities Google Cloud Security Overview: Physical Security Measures

QUESTION 38
structured data?

Customer orders

Product ratings

Historical stock inventory

Call center transcripts

Unstructured data refers to data that does not have a pre-defined data model or schema. Examples include text, images, audio, and video files. Call center transcripts are unstructured data because they are composed of free-form text, which does not follow a specific schema or structure.
Option D: Call center transcripts is correct because it represents unstructured data, as opposed to structured data like customer orders or product ratings.
Reference:
Google Cloud: Understanding Unstructured Data
Google Cloud Storage Solutions: Managing Unstructured Data

QUESTION 39
An organization recently launched a virtual customer support agent, generating vast amounts of text and speech data.
Why should they use a cloud data warehouse to interpret this data?

To natively visualize both types of data using a dashboard in real time

To ingest and analyze structured and unstructured data at scale, in real time

To secure data transmission between cloud and on-premises environments

To transform data from structured to unstructured

Real-time data ingestion and updates. A simple and universal solution for continually ingesting your enterprise data into popular cloud-based data warehouses in real time. https://www.qlik.com/us/cloud-data-migration/cloud-data-warehouse

QUESTION 40
Your organization needs to analyze data in order to gather insights into its daily operations. You only want to pay for the data you store and the queries you perform. Which Google Cloud product should your organization choose for its data analytics warehouse?

Cloud SQL

Dataproc

Cloud Spanner

BigQuery

Explanation
BigQuery is an enterprise data warehouse for large amounts of relational structured data Serverless, highly scalable, and cost-effective multicloud data warehouse designed for business agility.

QUESTION 41
Your organization is running all its workloads in a private cloud on top of a hypervisor. Your organization has decided it wants to move to Google Cloud as quickly as possible. Your organization wants minimal changes to the current environment, while using the maximim amount of managed services Google offers.
What should your organization do?

Migrate the workloads to Google Cloud VMware Engine

Migrate the workloads to Compute Engine

Migrate the workloads to Bare Metal Solution

Migrate the workloads to Google Kubernetes Engine

Migrate for Compute Engine enables you to lift and shift workloads at scale to Google Cloud Compute Engine with minimal changes and risk.
Reference: https://dataintegration.info/simplify-vm-migrations-with-migrate-for-compute-engine-as-a-service

QUESTION 42
What would provide near-unlimited availability of computing resources without requiring your organization to procure and provision new equipment?

Public cloud

Containers

Private cloud

Microservices

QUESTION 43
An e-commerce company’s business has been booming. To keep up with the growth the IT team also grew. Many new people are being added and new resources are being set up. The CIO is in conver-sation with you over coffee one day and expresses her growing concern that they might be moving too fast. Their security checks and policies have not kept pace. She worries that somebody would make a misconfiguration or compliance violation thus exposing the company to data and privacy loss. What can you advise her?

Use Cloud Identity-Aware Proxy to allow only specific users to access the data.

Use Security Command Center to have a centralized view of assets and get noti-fied on misconfigurations and vulnerabilities.

Use Cloud Data Loss Prevention to prevent the loss of any data.

Use Cloud Armor to block any DDoS attacks that could be a threat.

Security Command Center is the right tool for this use case. It can check resources for security issues and notify you when issues are found.
https://cloud.google.com/security-command-center

QUESTION 44
Your company security team manages access control to production systems using an LDAP directory group.
How is this access control managed in the Google Cloud production project?

Assign the proper role to the Service Account in the project’s IAM Policy

Grant each user the roles/iam.serviceAccountUser role on a service account that exists in the Google Group.

Assign the proper role to the Google Group in the project’s IAM Policy.

Create the project in a folder with the same name as the LDAP directory group.

Reference: https://cloud.google.com/blog/products/identity-security/achieving-identity-and-access- governance-on-google-cloud Text, letter Description automatically generated

QUESTION 45
An organization meets their service level objective (SLO) of 99 999% (“five nines”) How much downtime do their end users experience per year?

5 minutes

500 minutes

5 hours

5 days

QUESTION 46
A prospect wants to be able to store and analyze data. Their analysts already know SQL, but are not familiar with other technologies. Which of these databases can the analysts use without addi-tional training?

Cloud SQL, BigQuery, Datastore

Spanner, Cloud SQL, BigQuery

Cloud SQL, Firestore, Datastore

Cloud SQL, Bigtable, BigQuery

Explanation
Spanner, Cloud SQL, BigQuery
Spanner- Cloud Spanner is a fully managed, mission-critical, relational database service that offers transactional consistency at global scale, automatic, synchronous replication for high availability, and support for two SQL Google Standard SQL and PostgreSQL.
Cloud SQL- Cloud SQL is a fully-managed database service that helps you set up, maintain, manage, and administer your relational databases on Google Cloud Platform.
BigQuery- Google BigQuery is a cloud-based Architecture and provides exceptional performance as it can auto-scale up and down based on the data load and performs data analysis efficiently. On the other hand, SQL Server is based on client-server architecture and has fixed performance throughout unless the user scales it manually.

QUESTION 47
An organization wants to create a new application in the cloud to replace an existing on-premises application.
Which application modernization approach should the organization use?

Move the application to the cloud, and then change it.

Change their application, and then move it to the cloud.

Invent in greenfield.

Invent in brownfield.

This approach carries over as much custom components as possible from the source system and minimizes initial reengineering efforts.

QUESTION 48
In Google Cloud IAM: if a policy applied at the project level gives you Owner permissions, your access to an individual resource in that project might be restricted to View permission if someone applies a more restrictive policy directly to that resource. What is correct below the options

False

None of the above.

True

Not defined by GCP.

Policies are a union of those applied to resources themselves and those inherited from higher levels in the hierarchy. If a parent policy is less restrictive, it overrides a more restrictive policy applied to the resource. If a parent policy is more restrictive, it does not override a less restrictive policy applied to the resource.
Therefore, access granted at a higher level in the hierarchy cannot be taken away by policies applied at a lower level in the hierarchy.

QUESTION 49
Customers are reporting very high latencies when accessing an application from the United States. The application is currently running in a single region in Europe.
What should the organization do?

Set up a new billing account in the United States.

Run the application in additional regions in Europe.

Run the application in additional zones in the European region.

Run a replica of the application in a region in the United States.

The correct answer is D. Run a replica of the application in a region in the United States. Here’s why:
* Context of the Question: The application currently runs in a single region in Europe, and customers in the United States are experiencing high latencies. The organization needs to reduce latencies for these customers.
* Google Cloud Product Relevance:
* Running a replica of the application in a region in the United States would reduce latency by hosting the application closer to the end users. This improves response times and ensures a better user experience for customers in the United States.
* Google Cloud provides services such as Cloud Load Balancing to distribute traffic efficiently between instances in different regions.
* Why Not Other Options:
* A. Set up a new billing account in the United States: Billing accounts do not affect application performance or latency.
* B. Run the application in additional regions in Europe: This would not reduce latencies for users in the United States, as their traffic would still need to travel across the Atlantic.
* C. Run the application in additional zones in the European region: Additional zones in Europe would not help with reducing latency for U.S. customers.
Google Cloud Digital Leader References:
* Refer to Google Cloud’s multi-region deployment documentation for more information on deploying applications across multiple regions.

QUESTION 50
You are migrating workloads to the cloud. The goal of the migration is to serve customers worldwide as quickly as possible According to local regulations, certain data is required to be stored in a specific geographic area, and it can be served worldwide. You need to design the architecture and deployment for your workloads.
What should you do?

Select a public cloud provider that is only active in the required geographic area

Select a private cloud provider that globally replicates data storage for fast data access

Select a public cloud provider that guarantees data location in the required geographic area

Select a private cloud provider that is only active in the required geographic area

Explanation
The goal of the migration is to serve customers worldwide as quickly as possible According to local regulations, certain data is required to be stored in a specific geographic area, and it can be served worldwide” This characteristic are inherent to the public cloud provider

QUESTION 51
A startup client of yours does offline data processing for a few of its clients. They are mi-grating their applications and the associated data to Google Cloud. They have 100TB of data to move. They presently have a very small private data center setup connected to a local internet provider. The maximum bandwidth they are able to get is 100Mbps. How long will it take them to transfer the data over the internet if the transfer goes smoothly?

About 12 days.

About 2 years.

About 100 days.

About 24 hours.

Explanation
The key reason I included this question is to clarify some terminologies that will be important for your estimates. The data size mentioned is a TB terabyte. Note the “byte”. The speed is mentioned in Mbps, which is Megabits per second. Note the “bits”. 8 bits make a byte. So, to get the actual number of bits transferred, you need to multiply the TB number by 8.
Total data transferred (in bits) = 100 * 1,000,000,000,000 * 8 bits
Speed = 100Mbps = 100 * 1,000,000. i.e. 100 million bits are transferred per second.
Hence time taken to transfer all the data = Total Data/Speed = 8,000,000 seconds.
Number of seconds in a day = 24*60*60 = 86,400
Total time taken in days = 8,000,000/86,400 = 92.59 days
Reference link
– https://cloud.google.com/architecture/migration-to-google-cloud-transferring-your-large-datasets#online_versu

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