(2026) Cloud-Digital-Leader Exam Dumps, Practice Test Questions BUNDLE PACK
Google Cloud Certified Certification Cloud-Digital-Leader Sample Questions Reliable
Google Cloud Digital Leader Certification Exam is a comprehensive exam that covers a broad range of topics. It is designed to test your knowledge and skills in various areas, including cloud computing, digital transformation, leadership, and Google Cloud technologies. You will need to have a good understanding of these areas to pass the exam.
NEW QUESTION # 139
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?
- A. About 24 hours.
- B. About 100 days.
- C. About 2 years.
- D. About 12 days.
Answer: B
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_versus_offline_transfer
NEW QUESTION # 140
What is a defining feature of a non-relational database?
- A. Repotting across multiple data sources
- B. Queries that join multiple tables
- C. A strictly enforced schema
- D. A flexible data model
Answer: D
NEW QUESTION # 141
Your organization is migrating to Google Cloud. As part of that effort, it needs to move terabytes of data from on-premises file servers to Cloud Storage. Your organization wants the migration process to be automated and to be managed by Google. Your organization has an existing Dedicated Interconnect connection that it wants to use. Which Google Cloud product or feature should your organization use?
- A. Storage Transfer Service
- B. Migrate for Anthos
- C. BigQuery Data Transfer Service
- D. Transfer Appliance
Answer: A
Explanation:
Reference: https://cloud.google.com/architecture/migration-to-google-cloud-transferring-your-large-datasets Graphical user interface, text, application, email Description automatically generated
https://cloud.google.com/architecture/migration-to-google-cloud-transferring-your-large-datasets
NEW QUESTION # 142
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?
- A. To secure data transmission between cloud and on-premises environments
- B. To natively visualize both types of data using a dashboard in real time
- C. To ingest and analyze structured and unstructured data at scale, in real time
- D. To transform data from structured to unstructured
Answer: C
Explanation:
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
NEW QUESTION # 143
Your team is working on building a machine learning model. There are a bunch of terminologies that are being used. What is an "instance" or an "example"?
- A. One row of a dataset containing one or more input columns and possibly a prediction result.
- B. An answer for a prediction task, either the answer produced by a machine learning system or the right answer supplied in training data. E.g. image contains a "cat".
- C. The "knobs" that you tweak during successive runs of training a model. E.g. learning rate
- D. An input variable is used in making predictions. E.g. number of rooms in a house price prediction model.
Answer: A
Explanation:
One row of a dataset containing one or more input columns and possibly a prediction result.
https://developers.google.com/machine-learning/guides/rules-of-ml#terminology
NEW QUESTION # 144
A customer is migrating there on-promises data analytics solution to Google Cloud. The current solution has a lot of data being read form and written to disk. The performance of this approach has occasionally been a bottleneck for a scale of operations that your cus-tomer has. The application is fault tolerant and can with stand machine going down fre-quently. In moving to Google Cloud they are asking your advice on any way to improve performance?
- A. Use Cloud Storage which can be central, scalable storage
- B. Use Persistent Disk with the VMs
- C. Use Big Query Which has very fast data access and analysis
- D. Use local SSDs with the VMs
Answer: D
Explanation:
Explanation
Local SSDs are attached to the VM and have very high throughput. However, when the VM shuts down, The local SSD is also shut down, Since our Workload here is foult tolerant, than is not an issue.
NEW QUESTION # 145
A multinational retail company has approached you to help design its systems. They have millions of transactions at their point of sale systems across the world that need to be captured, stored, and analyzed.
They are seeing more growth and expect to expand into even more geographies. Which database would be appropriate for them?
- A. Cloud Spanner
- B. Cloud Datastore
- C. Cloud Storage
- D. Cloud SQL
Answer: A
Explanation:
Cloud Spanner: "Fully managed relational database with unlimited scale, strong consistency, and up to
99.999% availability."
Reference:- https://cloud.google.com/spanner
NEW QUESTION # 146
Your organization wants to migrate your on-premises environment to Google Cloud. The on-premises environment consists of containers and virtual machine instances. Which Google Cloud products can help to migrate the container images and the virtual machine disks?
- A. Dataflow and BigQuery
- B. Pub/Sub and Cloud Storage
- C. Artifact Registry and Cloud Storage
- D. Compute Engine and Filestore
Answer: D
Explanation:
Reference:
NEW QUESTION # 147
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?
- A. Create the project in a folder with the same name as the LDAP directory group.
- B. Assign the proper role to the Google Group in the project's IAM Policy.
- C. Assign the proper role to the Service Account in the project's IAM Policy
- D. Grant each user the roles/iam.serviceAccountUser role on a service account that exists in the Google Group.
Answer: B
Explanation:
Reference:
https://cloud.google.com/blog/products/identity-security/achieving-identity-and-access-governance-on-google-cl Text, letter Description automatically generated
NEW QUESTION # 148
An organization needs to run frequent updates for their business app.
Why should the organization use Google Kubernetes Engine (GKE)?
- A. Seamless changes can be made without causing any application downtime.
- B. Customer expectations can be adjusted without using marketing tools
- C. GKE is well suited for all monolithic applications
- D. GKE handles version control seamlessly and out of the box
Answer: A
Explanation:
https://cloud.google.com/architecture/migrating-a-monolithic-app-to-microservices-gke
NEW QUESTION # 149
Your Coustomer's Organization has decided to move to the cloud. They currently run VMs on-promise but their goal on Google cloud is to run containers, primarily on Google Kuber-nete's Engine. They have a lease for their private data center for another year that they have already paid for. What could be strategy they could adopt in migrating?
- A. Rip and Replace.
- B. Left and Shift.
- C. Improve and Move.
- D. Jump and Ramp.
Answer: C
Explanation:
Since they have already paid for data center for another year. They have the time and resources to work with, They can make the change to their workloads locally/on-promise Improve and Migrate Move to Google Cloud later on.
NEW QUESTION # 150
When customer data is uploaded to Google Cloud, who owns the data?
- A. The customer
- B. The customer and Google share ownership
- C. Google
- D. A third party
Answer: A
NEW QUESTION # 151
An organization is using new technologies to change its business processes and culture to develop new customer experiences and adapt to market dynamics.
What is the name of this approach?
- A. Data center migration
- B. Operations optimization
- C. User personalization
- D. Digital transformation
Answer: D
Explanation:
Digital transformation refers to the use of new technologies to fundamentally change how an organization operates, interacts with customers, and delivers value. It includes changes to business processes, culture, and customer experiences to better adapt to market dynamics and leverage new digital capabilities.
Option A: Digital transformation is correct because it involves using new technologies to drive changes in business processes, customer experiences, and organizational culture to stay competitive in a rapidly changing market.
Reference:
Google Cloud Digital Transformation: Accelerate Business Growth with Cloud Google Cloud: Digital Transformation Strategy
NEW QUESTION # 152
A financial services company is running an experimental application workload that has a very large number of mathematical calculations involving floating-point numbers. The current application that is running on compute engine is not providing enough speed and throughput. What are the options to increase the processing performance?
- A. Attach GPUs to the virtual machine for number crunching.
- B. Since processing could also be dependent on reading and writing data to the disk, use a fast Local SSD.
- C. Instead of using a "general purpose" machine family, use "compute-optimized" machine family.
- D. Use a serverless option like Cloud Functions that will automatically scale as much as required.
Answer: A
Explanation:
Explanation
Compute Engine provides graphics processing units (GPUs) that you can add to your virtual machines (VMs).
You can use these GPUs to accelerate specific workloads on your VMs such as machine learning and data processing.
https://cloud.google.com/compute/docs/gpus
NEW QUESTION # 153
Your organization uses Active Directory to authenticate users. Users' Google account access must be removed when their Active Directory account is terminated.
How should your organization meet this requirement?
- A. Configure two-factor authentication in the Google domain
- B. Configure BeyondCorp and Identity-Aware Proxy in the Google domain
- C. Remove the Google account from all IAM policies
- D. Configure single sign-on in the Google domain
Answer: D
Explanation:
Configure single sign-on in the Google domain
Single sign-on: Whenever a user needs to authenticate, Google Cloud delegates the authentication to Active Directory by using the Security Assertion Markup Language (SAML) protocol. This delegation ensures that only Active Directory manages user credentials and that any applicable policies or multi-factor authentication (MFA) mechanisms are being enforced. For a sign-on to succeed.
https://cloud.google.com/architecture/identity/federating-gcp-with-active-directory-introduction Reference Link- https://cloud.google.com/architecture/identity/single-sign-on
NEW QUESTION # 154
Your organization is developing an application that will manage payments and online bank accounts located around the world. The most critical requirement for your database is that each transaction is handled consistently. Your organization anticipates almost unlimited growth in the amount of data stored.
Which Google Cloud product should your organization choose?
- A. Cloud Spanner
- B. Cloud Storage
- C. Cloud SQL
- D. Firestore
Answer: A
Explanation:
Explanation
Features of Cloud Spanner
Reference: https://k21academy.com/google-cloud/cloud-sql-vs-cloud-spanner/ Text Description automatically generated
NEW QUESTION # 155
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?
- A. Retain the original application in Compute Engine and scale it as needed using Unmanaged Instance Groups.
- B. Containerize the services and orchestrate them with Google Kubernetes Engine.
- C. Retain the original application as a backup and also for separately scaling the ser-vices, create new application binaries.
- D. Retain the original application in Compute Engine and scale it as needed using Managed Instance Groups.
Answer: B
Explanation:
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
NEW QUESTION # 156
Which Google Cloud service or feature lets you build machine learning models using Standard SQL and data in a data warehouse?
- A. BigQuery ML
- B. AutoML Tables
- C. TensorFlow
- D. Cloud Bigtable ML
Answer: A
Explanation:
BigQuery ML lets you create and execute machine learning models in BigQuery using standard SQL queries.
NEW QUESTION # 157
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