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Google Cloud Digital Leader Certification Exam is administered by Google Cloud and is recognized globally by organizations seeking to hire individuals who possess in-depth knowledge and expertise in cloud computing. Cloud-Digital-Leader exam is intended to evaluate the candidate's understanding of Google Cloud's core services, including virtual machines, storage, networking, security, and management. Additionally, the exam also tests the candidate's proficiency in data analytics and machine learning, which are essential skills for any cloud computing professional.
NEW QUESTION # 169
DriveSuper Inc. teaches its clients to drive cars and bikes and helps them get their license. They are planning to build a mobile application where users can sign up, plan their schedules, and take stock of progress. They want the onboarding process to be smooth and frictionless, giving users a great experience from the get-go. They want this done as quickly as possible and not be expensive. What is their best option on Google Cloud?
- A. Build the mobile app with Cloud SQL as the backend
- B. Build the mobile app with Cloud Spanner as the backend
- C. Build the mobile app with Cloud Storage as the backend
- D. Build the mobile application with Firebase as the backend
Answer: D
Explanation:
Firebase/Firestore is easy to build and is suitable for user information that could bvary in nature.
NEW QUESTION # 170
An organization wants to adopt the advanced machine learning capabilities of the Google Cloud. However, regulations require data to be stored in an on-premises data center.
Which approach should the organization use?
- A. A multi-cloud approach
- B. A hybrid-cloud approach
- C. A public-cloud approach
- D. A private-cloud approach
Answer: B
Explanation:
The correct answer is C. A hybrid-cloud approach. Here's why:
Context of the Questio n : The organization wants to use Google Cloud's advanced machine learning capabilities while maintaining data storage on-premises due to regulatory requirements.
Google Cloud Product Relevance:
A hybrid-cloud approach combines on-premises infrastructure with cloud services. This approach allows organizations to keep sensitive data on-premises while leveraging cloud services for additional computing capabilities, such as advanced machine learning. Google Cloud offers tools like Anthos and Google Cloud's hybrid and multi-cloud solutions to facilitate this integration, enabling the organization to use cloud-based machine learning tools while keeping data in their local data center.
Why Not Other Options:
A . A private-cloud approach: This refers to a cloud environment that is entirely operated within the organization's own infrastructure, which would not provide access to Google Cloud's ML capabilities.
B . A multi-cloud approach: While multi-cloud involves using services from multiple cloud providers, it does not specifically address the requirement to keep data on-premises.
D . A public-cloud approach: This would involve moving data to the public cloud, which contradicts the requirement to keep data stored on-premises.
Google Cloud Digital Leader Reference:
Refer to Hybrid and Multi-Cloud Solutions in Google Cloud documentation to understand how Google Cloud can integrate with on-premises data centers while providing cloud services.
NEW QUESTION # 171
An organization currently stores its data on-premises and they receive different levels of traffic on their website every month. How could the organization benefit from modernizing their infrastructure with cloud technology?
- A. They can shift from heavy operational expenditure to a capital expenditure model.
- B. They can rely on the cloud provider for all website source code.
- C. 100% service availability.
- D. Agile storage scalability.
Answer: D
Explanation:
Explanation
Organizations can scale in the cloud by paying for what they use, when they use it.
NEW QUESTION # 172
What are the key features of Google Cloud Identity.
- A. Works with your favorite apps and Endpoint management
- B. Multi-factor authentication (MFA)
- C. All of the Above
- D. Single sign-on (SSO)
Answer: C
Explanation:
Cloud Identity:
A unified identity, access, app, and endpoint management (IAM/EMM) platform.
- Give users easy access to apps with single sign-on.
- Multi-factor authentication protects user and company data.
- Endpoint management enforces policies for personal and corporate devices KEY FEATURES :
Modernize IT and strengthen security
Multi-factor authentication (MFA)
Help protect your user accounts and company data with a wide variety of MFA verification methods such as push notifications, Google Authenticator, phishing-resistant Titan Security Keys, and using your Android or iOS device as a security key.
Endpoint management
Improve your company's device security posture on Android, iOS, and Windows devices using a unified console. Set up devices in minutes and keep your company data more secure with endpoint management. Enforce security policies, wipe company data, deploy apps, view reports, and export details.
Single sign-on (SSO)
Enable employees to work from virtually anywhere, on any device, with single sign-on to thousands of pre-integrated apps, both in the cloud and on-premises.
Works with your favorite apps
Cloud Identity integrates with hundreds of cloud applications out of the box-and we're constantly adding more to the list so you can count on us to be your single identity platform today and in the future.
NEW QUESTION # 173
Your organization offers public mobile apps and websites. You want to migrate to a Google Cloud-based solution for checking and maintaining your users' usernames and passwords and controlling their access to different resources based on their identity.
Which should your organization choose?
- A. VPN tunnels
- B. Private Google Access
- C. Identity Platform
- D. Compute Engine firewall rules
Answer: C
Explanation:
An identity platform is a modern solution for managing the identities of users and devices in a centralized fashion.
Reference:
NEW QUESTION # 174
What load balancer type is supported with Cloud Armor security policies?
- A. HTTP(S) Only
- B. HTTP(S) and SSL
- C. Regional SSL
- D. SSL Proxy, HTTP(S) and SSL
Answer: A
Explanation:
Google Cloud Armor security policies protect your application by providing Layer 7 filtering and by scrubbing incoming requests for common web attacks or other Layer 7 attributes to potentially block traffic before it reaches your load balanced backend services or backend buckets. Each security policy is made up of a set of rules that filter traffic based on conditions such as an incoming request's IP address, IP range, region code, or request headers.
-> Google Cloud Armor security policies are available only for backend services behind an external HTTP(S) load balancer. The load balancer can be in Premium Tier or Standard Tier.
-> Google Cloud Armor security policies and IP DENY lists and ALLOW lists are available only for HTTP(S) load balancing.
Reference link- https://cloud.google.com/armor/docs/security-policy-overview
NEW QUESTION # 175
Your organization is developing and deploying an application on Google Cloud. Tracking your Google Cloud spending needs to stay as simple as possible.
What should you do to ensure that workloads in the development environment are fully isolated from production workloads?
- A. Apply a unique tag to development resources
- B. Associate the development resources with their own billing account
- C. Put the development resources in their own project
- D. Associate the development resources with their own network
Answer: B
NEW QUESTION # 176
A customer has contacted you about migrating to Google Cloud. The customer would like to mi-grate their data from on premises as soon as possible. They don't have the budget to rewrite code, and they want the most direct route. What migration option should suggest to the customer?
- A. Rip and Replace
- B. Lift and Shift
- C. Improve and Move
- D. None, since the customer is not cloud native ready.
Answer: B
Explanation:
With Lift and Shift migrations, the customer could move workloads from a source environment to a target environment with few or no modifications or refactoring
https://cloud.google.com/architecture/migration-to-gcp-getting-started
NEW QUESTION # 177
A retail organization has moved all of their inventory data to a relational database in the cloud.
What functionality does a relational database offer?
- A. It stores large amounts of raw data in its original format
- B. It analyzes unstructured data which can then be accessed in multiple regions
- C. It stores transactional data which can then be accessed electronically
- D. It rapidly analyzes large and multi-dimensional datasets
Answer: C
Explanation:
Explanation
A relational database offers the functionality of storing transactional data, which can then be accessed electronically. Relational databases store structured data that can be organized in tables with defined relationships between them. This makes them well-suited for transactional data, such as inventory data, that needs to be accessed and updated frequently.
NEW QUESTION # 178
An organization wants a purpose-built Al solution to increase efficiency and provide personalized interactions for their customer care team Which Google Cloud Al solution should they use?
- A. Text-to-SpeechAPI
- B. Contact Center Al
- C. Document Al
- D. Cloud Talent Solution
Answer: C
NEW QUESTION # 179
Why is data stored in Google Cloud secure and private?
- A. Data is encrypted when an appropriate tag is applied
- B. Data is encrypted by Cloud Data Loss Prevention
- C. Data is encrypted by default
- D. Data is encrypted by the Security Command Center
Answer: C
Explanation:
Explanation
https://cloud.google.com/docs/security/encryption/default-encryption#:~:text=Google%20uses%20the%20Advan
NEW QUESTION # 180
All Google Cloud Platform services are associated with a project that is used to provide what functions?
- A. Enable Services and APIs
- B. Manage Container Deployments
- C. Manage DNS Services
- D. None of the Above
Answer: A
Explanation:
Explanation
Enable Services and APIs
Graphical user interface, text Description automatically generated
Reference link- https://cloud.google.com/storage/docs/projects
NEW QUESTION # 181
An organization has a large VMWare environment that they want to migrate to the cloud. They want to retain existing operational processes and tools. Which Google Cloud service should the organization use?
- A. Compute Engine
- B. Bare Metal Solution
- C. Google Cloud VMware Engine
- D. VMWare vSphere
Answer: C
NEW QUESTION # 182
Which Google Cloud service or feature lets you build machine learning models using Standard SQL and data in a data warehouse?
- A. AutoML Tables
- B. BigQuery ML
- C. Cloud Bigtable ML
- D. TensorFlow
Answer: B
Explanation:
BigQuery ML lets you create and execute machine learning models in BigQuery using standard SQL queries.
Reference:
https://cloud.google.com/bigquery-ml/docs/introduction
NEW QUESTION # 183
When an organization adopts cloud technology, how does their total cost of ownership (TCO) shift?
- A. Away from operational expenditure toward capital expenditure
- B. Away from capital expenditure toward operational expenditure
- C. Away from cost management toward capital expenditure
- D. Away from operational expenditure toward cost management
Answer: B
NEW QUESTION # 184
Your organization needs to categorize objects in a large group of static images using machine learning. Which Google Cloud product or service should your organization use?
- A. Cloud Vision API
- B. AutoML Video Intelligence
- C. AutoML Tables
- D. BigQuery ML
Answer: C
NEW QUESTION # 185
After rolling out a new update, an organization found a minor bug in its online video game.
How should the organization approach this bug while following SRE principles?
- A. Accept and learn from the bug because failure is normal
- B. Accept and ignore the bug because it is only minor
- C. Hold a postmortem to reprimand the employee responsible for the bug
- D. Document bug correction to eliminate all future bugs
Answer: A
Explanation:
Explanation
https://www.blameless.com/sre/sre-principles
Accepting failure as normal is one of the SRE principles. SREs believe that accepting failure as normal helps to build an iterative, collaborative culture. One way this is done is by holding a blameless "lessons learned" discussion after an incident occurs.
NEW QUESTION # 186
You are a program manager in a company and handling a project and you need to create a virtual machine on google cloud console that will be very simple to set up, by flipping a bit via command, API, or with developer console that gives you 30 seconds to shut down when you're preempted, allow you to save your work that also helps in the company budget upto 70-80% of less charges than the regular VMs.
- A. None of the above.
- B. Bare Metal Solutions
- C. Google Cloud VM Instances
- D. Preemptible Virtual Machines.
Answer: D
Explanation:
Explanation
Preemptible VMs have all these features
Simple configuration
Create a preemptible instance simply by flipping a bit via command, API, or developer console.
Easy extensibility
Attach GPUs and local SSDs to preemptible instances for additional performance and savings.
Graceful shutdown
Compute Engine gives you 30 seconds to shut down when you're preempted, letting you save your work in progress for later.
Large scale computing
Spin up as many instances as you need and turn them off when you're done. You only pay for what you use.
Quickly reclaim capacity
Managed instance groups automatically recreate your instances when they're preempted (if capacity is available).
Fixed pricing
Preemptible VMs have fixed pricing up to 80% off regular instances. They show up on your bill separately so you'll see just how much you're saving.
NEW QUESTION # 187
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. Instead of using a "general purpose" machine family, use "compute-optimized" machine family.
- B. Use a serverless option like Cloud Functions that will automatically scale as much as required.
- C. Since processing could also be dependent on reading and writing data to the disk, use a fast Local SSD.
- D. Attach GPUs to the virtual machine for number crunching.
Answer: D
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 # 188
An organization wants to run their custom application in the cloud in a flexible and scalable way without managing any infrastructure.
Which service model should they use?
- A. Network as a service
- B. Infrastructure as a service
- C. Platform as a service
- D. Software as a service
Answer: C
NEW QUESTION # 189
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 Datastore
- B. Cloud SQL
- C. Cloud Storage
- D. Cloud Spanner
Answer: D
Explanation:
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 # 190
How do Migrate for Compute Engine and Migrate for Anthos differ?
- A. Migrate for Anthos migrates to containers, and Migrate for Compute Engine migrates to virtual machines.
- B. Migrate for Compute Engine charges for ingress, but Migrate for Anthos does not.
- C. Migrate for Compute Engine is closed source, and Migrate for Anthos is open source.
- D. Unlike Migrate for Anthos, Migrate for Compute Engine assumes that the migration source is VMware vSphere.
Answer: A
Explanation:
Reference: https://cloud.google.com/migrate/anthos
Migrate workloads to Compute Engine with Migrate for Compute Engine. Migrate from Compute Engine to containers with Migrate for Anthos and GKE.
This method makes sense, for instance, in cases where you want to conduct a data-center migration and migrate all workloads into Compute Engine, and only at a second stage selectively modernize suitable workloads to containers.
https://cloud.google.com/migrate/containers/docs/architecture
NEW QUESTION # 191
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