Download Google Cloud-Digital-Leader Sample Questions [Mar-2024]
Real Cloud-Digital-Leader Exam Questions and Answers FREE
Google Cloud Digital Leader Certification Exam is a comprehensive exam that tests the knowledge of individuals on various aspects of Google Cloud technology and leadership. Cloud-Digital-Leader exam is designed to demonstrate that individuals have a deep understanding of the Google Cloud Platform and can lead their organizations through the process of digital transformation. Google Cloud Digital Leader certification also validates that individuals have the necessary leadership skills to drive change and guide their teams to success.
NEW QUESTION # 13
Virtual Machine vCPU and memory usage for each of these categories can receive one of the following discounts? (Select Three Answer)
- A. Spot Instances
- B. Military Discounts
- C. Committed-Use
- D. Sustained-Use
- E. Preemptible VMs
Answer: C,D,E
Explanation:
Sustained, Committed and Preemptible
vCPU and memory usage for each of these categories can receive discounts VM vCPU and memory usage for each of these categories can receive discounts Sustained-use discounts-Google offers up to 30% off for workloads that run for most of the billing month on GCP services.
Committed-use discounts-users can save up to 57% by committing to use an instance for a certain time period, with no upfront payment and with the flexibility to change instances during the commitment period.
Preemptible VMs-similar to the concept of AWS spot instances, Google offers up to 79% off for Virtual Machines that may be shut down at any time and replaced by others.
Reference link- https://cloud.google.com/compute/docs/sustained-use-discounts Reference link- https://cloud.google.com/compute/docs/instances/signing-up-committed-use-discounts Reference link- https://cloud.google.com/compute/docs/instances/preemptible
NEW QUESTION # 14
An organization wants to build autoscaling web applications without having to manage application infrastructure Which Google Cloud product should they use?
- A. AutoML
- B. App Engine
- C. Anthos
- D. Apigee
Answer: B
Explanation:
Explanation
Per Google docs, App Engine, allows for "freeing up your developers with zero server management and zero configuration deployments". https://cloud.google.com/appengine
NEW QUESTION # 15
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 Storage
- C. Cloud SQL
- D. Cloud Datastore
Answer: A
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 # 16
Your company has been using a shared facility for data storage and will be migrating to Google Cloud. One of the internal applications uses Linux custom images that need to be migrated.
Which Google Cloud product should you use to maintain the custom images?
- A. App Engine flexible environment
- B. App Engine standard environment
- C. Google Kubernetes Engine
- D. Compute Engine
Answer: D
Explanation:
Reference: https://cloud.google.com/compute/docs/images/create-delete-deprecate-private-images A custom image is a boot disk image that you own and control access to. Use custom images for the following tasks:
Import a virtual disk to Compute Engine from your on-premises environment or from VMs that are running on your local workstation or on another cloud platform. You can manually import boot disk images to Compute Engine, but one disk at a time.
Graphical user interface, text, application, email Description automatically generated
https://cloud.google.com/compute/docs/images
NEW QUESTION # 17
Customer Managed Encryption Keys (CMEK) can be used for encrypting data inside Cloud BigTable, which of the following statements is/are correct. (Select two answer)
- A. Not supported for instances that have clustered in more than one region.
- B. CMEK can only be configured at the cluster level.
- C. Administrators can not rotate
- D. You can not use the same CMEK key in multiple projects
Answer: A,B
Explanation:
Customer-managed encryption keys for Cloud BigTable.
By default, all the data at rest in Cloud Bigtable is encrypted using Google's default encryption. Bigtable handles and manages this encryption for you without any additional action on your part.
If you have specific compliance or regulatory requirements related to the keys that protect your data, you can use customer-managed encryption keys (CMEK) for BigTable. Instead of Google managing the encryption keys that protect your data, your BigTable instance is protected using a key that you control and manage in Cloud Key Management Service (Cloud KMS).
Features
Security: CMEK provides the same level of security as Google's default encryption but provides more administrative control.
Data access control: Administrators can rotate, manage access to, and disable or destroy the key used to protect data at rest in BigTable .
Auditability: All actions on your CMEK keys are logged and viewable in Cloud Logging.
Comparable performance: BigTable CMEK-protected instances offer comparable performance to BigTable instances that use Google default encryption.
Flexibility: You can use the same CMEK key in multiple projects or instances or you can use separate keys, depending on your business needs.
NEW QUESTION # 18
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. Associate the development resources with their own billing account
- B. Associate the development resources with their own network
- C. Apply a unique tag to development resources
- D. Put the development resources in their own project
Answer: D
NEW QUESTION # 19
An organization wants to dynamically adjust its application to serve different user needs. What are the benefits of storing their data in the cloud for this use case?
- A. Automatic data cleaning and validation
- B. Real-time data ingestion and analysis
- C. No data access management required
- D. Data can be stored in archive for long term access
Answer: B
Explanation:
By storing their application data in the cloud the organization will be able to gather and analyze user behavior data in real-time. This will enable them to dynamically adjust their application for different user needs.
NEW QUESTION # 20
You are a program manager for a team of developers who are building an event-driven application to allow users to follow one another's activities in the app. Each time a user adds himself as a follower of another user, a write occurs in the real-time database.
The developers will develop a lightweight piece of code that can respond to database writes and generate a notification to let the appropriate users know that they have gained new followers. The code should integrate with other cloud services such as Pub/Sub, Firebase, and Cloud APIs to streamline the orchestration process. The application requires a platform that automatically manages underlying infrastructure and scales to zero when there is no activity.
Which primary compute resource should your developers select, given these requirements?
- A. App Engine flexible environment
- B. Compute Engine
- C. Cloud Functions
- D. Google Kubernetes Engine
Answer: C
NEW QUESTION # 21
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. Document bug correction to eliminate all future bugs
- B. Hold a postmortem to reprimand the employee responsible for the bug
- C. Accept and learn from the bug because failure is normal
- D. Accept and ignore the bug because it is only minor
Answer: C
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 # 22
You are consulting for a client who is migrating to Google Cloud. They presently have a matrix or-ganization.
Their IT environments were managed around projects. Each team had multiple projects. All the projects had a flat structure under the company. What would you advise them when plan-ning for the move?
- A. In terms of not disturbing the project developers and testers, advise them that the strategic decision is to retain the structure on Google Cloud also.
- B. Since a Project could spawn other sub-Projects, on Google Cloud it is better to as-sign a folder for each Project.
- C. The flat structure is what is currently used in IT organizations, and this can be used as-is which will provide the best results.
- D. On Google Cloud, create a folder corresponding to each team. Under that, there could be projects or further sub folders as the team decides.
Answer: D
Explanation:
Explanation
Folders for a related group of projects are the recommended approach.
-> A flat structure under the organization node is possible on Google Cloud, but it is not recommended. It becomes tougher to manage.
-> Projects cannot have sub-projects; there can only be resources within Projects.
Reference link- https://cloud.google.com/resource-manager/docs/cloud-platform-resource-hierarchy
NEW QUESTION # 23
Which of the following is/are true about Anthos?
- A. Fully managed service mesh with built-in visibility
- B. Modernizing your security for hybrid and multi-cloud deployments
- C. All of the Above
- D. Enterprise-grade container orchestration and management service.
Answer: C
Explanation:
Explanation
Anthos :
Anthos unifies the management of infrastructure and applications across on-premises, edge, and in multiple public clouds with a Google Cloud-backed control plane for consistent operation at scale.
- Build, deploy, and optimize apps on GKE and VMs anywhere-simply, flexibly, and securely.
- Consistent development and operations experience for hybrid and multi-cloud environments.
Key features:
1. Enterprise-grade container orchestration and management service
2. Automate policy and security at scale
3. Fully managed service mesh with built-in visibility
4. Modernizing your security for hybrid and multi-cloud deployments
NEW QUESTION # 24
Which of the following statements is/are true about Google Cloud BigTable?
- A. It is not compatible with Hadoop.
- B. It Scales from Giga Byte to Peta Byte with No Downtime.
- C. It can not be used in Real-time Ad analytics and tracking thousands of IoT Devices Data.
- D. It is an enterprise-level Database that offers relational and non-relational features
Answer: B
Explanation:
Cloud Bigtable
A fully managed, scalable NoSQL database service for large analytical and operational workloads with up to 99.999% availability.
- Consistent sub-10ms latency-handle millions of requests per second
- Ideal for use cases such as personalization, ad tech, fintech, digital media, and IoT
- Seamlessly scale to match your storage needs; no downtime during reconfiguration
- Designed with a storage engine for machine learning applications leading to better predictions
- Easily connect to Google Cloud services such as BigQuery or the Apache ecosystem
NEW QUESTION # 25
Your organization runs a distributed application in the Compute Engine virtual machines. Your organization needs redundancy, but it also needs extremely fast communication (less than 10 milliseconds) between the parts of the application in different virtual machines.
Where should your organization locate this virtual machines?
- A. In multiple regions, using one zone per region
- B. In multiple regions, using multiple zones per region
- C. In different zones within a single region
- D. In a single zone within a single region
Answer: D
NEW QUESTION # 26
A small scale retailer has been collecting its point of sale transaction in a PostgreSQL Da-tabase. They have raised funding for a strategic expansion goal in the next year that will see them grow significantly in Asia, Europe, North America, Which Database option should they choose in Google Cloud?
- A. Bigtable
- B. BigQuary
- C. Cloud SQL
- D. Spanner
Answer: D
Explanation:
Spanner is a global scale Database that Support SQL querying, Similar to PostgreSQL, Which will be regional. So that will be a fairly smooth move, Since they have the time and the funding, they can plan for this migration.
NEW QUESTION # 27
Your company has recently acquired three growing startups in three different countries. You want to reduce overhead in infrastructure management and keep your costs low without sacrificing security and quality of service to your customers.
How should you meet these requirements?
- A. Build a homogenous infrastructure at each subsidiary, and invest in training their engineers.
- B. Host all your subsidiaries' services together with your existing services on the public cloud.
- C. Host all your subsidiaries' services on-premises together with your existing services.
- D. Build a homogenous infrastructure at each subsidiary, and invest in hiring more engineers.
Answer: B
NEW QUESTION # 28
An organization wants to scale their existing virtual machine architecture as quickly as possible. Why should the organization use VMware Engine?
- A. To migrate virtual machines to containers.
- B. To archive virtual machine instances.
- C. To replatform virtual machines as they are.
- D. To deploy custom APIs seamlessly.
Answer: C
Explanation:
Explanation
VMware Engine helps migrate and run virtual machines in Google Cloud with minimal changes to the VM architecture.
Table Description automatically generated with medium confidence
https://cloud.google.com/learn/what-is-a-virtual-machine
NEW QUESTION # 29
Your company has made plans to roll out OpenShift, a Kubernetes platform solution offered by IBM Red Hat, across all its on-premises and public cloud environments. Given that you are the lead architect responsible for your company's GCP deployments, what type of shared responsibility model will this deployment entail for you?
- A. PaaS
- B. IaaS
- C. On premises
- D. SaaS
Answer: B
Explanation:
The key to remember here is that for a service provided (GCP in this case) to take responsibility for its PaaS, it must offer the service as a managed service. GCP offers its own Kubernetes platform called GKE. But OpenShift is not a Google-offered PaaS solution. As such, Google will not take responsibility for the back-end operations and design of your OpenShift environments. You will need to manage all the VMs that OpenShift will provision as part of its GCP deployment. So this is an IaaS deployment from a shared responsibility model perspective.
NEW QUESTION # 30
A customer has new applications to build that has to handle both batch data and streaming dat a. Which product should they choose?
- A. Data Fusion
- B. Dataproc
- C. Dataflow
- D. Dataprep
Answer: C
Explanation:
Dataflow is the managed version of Apache Beam. Beam = Batch + Stream. Unified stream and batch data processing that's serverless, fast, and cost-effective.
Reference link- https://cloud.google.com/dataflow
NEW QUESTION # 31
What according to you are NOT the key capabilities of In-App Messaging?
- A. Creating customized and flexible alerts
- B. Sending relevant messages to the target audience
- C. Increasing conversion for user-to-user sharing
- D. Target messages accordingly to the change in the behavior pattern of the target audience.
Answer: C
Explanation:
In-App Messaging
Engage active app users with contextual messages.
Firebase In-App Messaging helps you engage users who are actively using your app by sending them targeted and contextual messages that nudge them to complete key in-app actions - like beating a game level, buying an item, or subscribing to content.
NEW QUESTION # 32
Your organization needs to build streaming data pipelines. You don't want to manage the individual servers that do the data processing in the pipelines. Instead, you want a managed service that will automatically scale with the amount of data to be processed.
Which Google Cloud product or feature should your organization choose?
- A. Dataprep by Trifacta
- B. Data Catalog
- C. Dataflow
- D. Pub/Sub
Answer: C
Explanation:
Reference:
Reference link- https://cloud.google.com/dataflow/docs/guides/deploying-a-pipeline
NEW QUESTION # 33
You are working with a user to set up an application in a new VPC behind a firewall and it is no-ticed that the user is concerned about data egress. Therefore, to provide assistance you want to con-figure the fewest open egress ports. Which of the following statement is correct?
- A. Set up a high-priority (1000) rule that blocks all egress and a low-priority (65534) rule that allows only the appropriate ports.
- B. Set up a low-priority (65534) rule that blocks all egress and a high-priority rule (1000) that allows only the appropriate ports.
- C. Set up a high-priority (1000) rule to allow the appropriate ports.
- D. Set up a high-priority (1000) rule that pairs both ingress and egress ports.
Answer: B
Explanation:
Explanation
Implied rules Every VPC network has two implied firewall rules. These rules exist, but are not shown in the Cloud Console:
Implied allow egress rule. An egress rule whose action is allow, destination is 0.0.0.0/0, and priority is the lowest possible (65535) lets any instance send traffic to any destination, except for traffic blocked by Google Cloud. A higher priority firewall rule may restrict outbound access. Internet access is allowed if no other firewall rules deny outbound traffic and if the instance has an external IP address or uses a Cloud NAT instance. For more information, see Internet access requirements.
Reference link- https://cloud.google.com/vpc/docs/firewalls
NEW QUESTION # 34
Your company provides car maintenance services. It is conducting an internal hackathon to identify new ideas that could expand their business. The teams have pitched different ideas and have started working on it. They have to present their application to the judges within 48 hours. A presentation alone is not enough; they have to demonstrate a working proof of concept. The team that you are mentoring is going to recommend additional ser-vices to drive in customers based on the brand of car they drive in. They need to be able to identify what brand of car the customer has, based on a photograph automatically taken at entry. They have already discovered an open source database of car images collected by online enthusiasts. How should they implement this solution?
- A. Use Cloud Vision AI that is able to detect logos. Write only the code to integrate in-to your workflow.
- B. Use AutoML Image - upload the images and let it create a working model for you.
- C. Use Deep Learning Containers that are preconfigured and optimized containers for deep learning environments.
- D. Use TensorFlow to create a model that will identify the car brands; use the available data to train the model.
Answer: B
Explanation:
Explanation
It would be most straightforward to use AutoML Image. Put the images in Cloud Storage, point to it from AutoML, and start the model building process.
Reference Link- https://cloud.google.com/automl
NEW QUESTION # 35
You are a DevOps Engineer in an E-commerce company that sells products globally, across the countries, Customers buy products, add them to carts or check-in stock from different parts of the world with different timestamps, you need to choose a database that can scale globally without any hassle and lots of developer support, it should be consistent across regions, can scale horizontally to support enormous user, automatically replicates, shards and even auto transaction pro-cessing. Which of the following database do you choose?
- A. Cloud Firestore.
- B. Cloud Spanner
- C. Cloud SQL
- D. Cloud Storage.
Answer: B
Explanation:
Explanation
Cloud Spanner:
Fully managed relational database with unlimited scale, strong consistency, and up to 99.999% availability.
- Get all the benefits of relational semantics and SQL with unlimited scale
- Start at any size and scale with no limits as your needs grow
- Enjoy high availability with zero scheduled downtime and online schema changes
- Deliver high-performance transactions with strong consistency across regions and continents
- Focus on innovation, eliminating manual tasks with capabilities like automatic sharding Automatic sharding Cloud Spanner optimizes performance by automatically sharding the data based on request load and size of the data. As a result, you can spend less time worrying about how to scale your database and instead focus on scaling your business.
Strong transactional consistency
Purpose-built for external, strong, global transactional consistency.
Regional and multi-regional configurations
No matter where your users may be, apps backed by Cloud Spanner can read and write up-to-date strongly consistent data globally Additionally, when running a multi-region instance, your database is able to survive a regional failure, and offers industry-leading 99.999% availability.
Online schema changes with no downtime
Cloud Spanner users can make a schema change, whether it's adding a column or adding an index while serving traffic with zero downtime. Hence you now have the flexibility to adapt your database to your business needs without compromising on the availability of your application.
NEW QUESTION # 36
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