2025 Valid Cloud-Digital-Leader test answers & Google Exam PDF
Free Google Cloud-Digital-Leader Exam Questions and Answer from Training Expert Pass4guide
NEW QUESTION # 168
A large organization is struggling to manage their cloud costs effectively. They want to increase vis-ibility into cloud costs. Which cost management approach should the organization use?
- A. Review any cloud spending that exceeds the organization's error budget.
- B. Increase monitoring of on-premises infrastructure and services.
- C. Appoint a single person to monitor cloud spending across the organization.
- D. Establish a partnership between finance, technology, and business teams.
Answer: D
Explanation:
Explanation
Because cross-team partnerships are part of the visibility cost management strategy.
https://wa.aws.amazon.com/wat.question.COST_1.en.html
NEW QUESTION # 169
Your organization meant to purchase a 3-year Committed Use Discount, but accidentally purchased a 1-year Committed Use Discount instead. What should your organization do?
- A. Contact your financial institution.
- B. Contact Technical Support.
- C. Contact Trust and Safety.
C Contact Cloud Billing Support.
Answer: B
Explanation:
Graphical user interface, text, application Description automatically generated
https://cloud.google.com/compute/docs/instances/signing-up-committed-use-discounts
NEW QUESTION # 170
Your organization recently migrated its compute workloads to Google Cloud. You want these workloads in Google Cloud to privately and securely access your large volume of on-premises data, and you also want to minimize latency.
What should your organization do?
- A. Peer your on-premises data center to Google's Edge Network
- B. Create a VPC between your on-premises data center and your Google resources
- C. Use Transfer Appliance to securely make your data available to Google Cloud
- D. Use Storage Transfer Service to securely make your data available to Google Cloud
Answer: A
Explanation:
Explanation
Graphical user interface, text, application, Word, email Description automatically generated
https://cloud.google.com/network-connectivity/docs/direct-peering
NEW QUESTION # 171
You are working in a company that provides different services to its customer. Now it also wants to offer some paid API services to its B2B customers for e.g. google provides google maps API, cloud vision API, and language translation API. You need to figure out the best solution for the service.
- A. Java Programming Spring Boot Framework for to solve the problem of APIs man-agement.
- B. Apigee API Management
- C. Frontend & Backend Development with NodeJs and angular etc.
- D. Cloud Functions with Firestore and payment gateways integration development.
Answer: B
Explanation:
A top-level idea about Apigee API Management and its offered features can help you solve all questions related to Apigee in Cloud Digital Leader Practice Exam.
Apigee is a platform for developing and managing APIs. By fronting services with a proxy layer, Apigee provides an abstraction or facade for your backend service APIs and provides security, rate limiting, quotas, analytics, and more.
Apigee services: The APIs that you use to create, manage, and deploy your API proxies.
Apigee runtime: A set of containerized runtime services in a Kubernetes cluster that Google maintains. All API traffic passes through and is processed by these services.
NEW QUESTION # 172
A manager wants to review Google Cloud data access among their employees.
Who is responsible for defining data access policies?
- A. Their organization's IT team
- B. Their organization's end users
- C. Google Cloud Customer Care team
- D. Cloud Identity
Answer: A
Explanation:
Explanation
Cloud Identity and Access Management (IAM) helps customers to define fine-grained access policies and precisely control access to Google Cloud-hosted data.
NEW QUESTION # 173
An organization wants to write and run small pieces of code in a serverless way that respond to events like huge discounts.
Which Google Cloud compute solution should the organization use?
- A. Cloud Functions
- B. Compute Engine
- C. Google Kubernetes Engine
- D. Bare Metal Solution
Answer: A
NEW QUESTION # 174
You are working in a company where you need to store Terabytes of Image Data daily and process them e.g.
Taking photos of the entire planet 24 hours every day with satellite and sending data to data centres to store and process it. Which of the following would be the best combination for your infrastructure.
You are working in a company where you need to store Terabytes of Image Data daily and process them e.g.
Taking photos of the entire planet 24 hours every day with satellite and sending data to data centres to store and process it. Which of the following would be the best combination for your infrastructure.
- A. None of the Above
- B. Google Cloud Storage & Preemptible VMs.
- C. Bare Metal Solutions with Google Cloud Storage.
- D. Google Cloud Storage & Google Cloud Compute Engines
Answer: B
Explanation:
Explanation
The above is a real world example of a company named Planet, where they sent around 80+ satellites to take pictures of earth every day, 24 hours. They run around 40,000 preemptible VMs concurrently.
Preemptible instances function like normal instances but have the following limitations:
Compute Engine might stop preemptible instances at any time due to system events. The probability that Compute Engine will stop a preemptible instance for a system event is generally low, but might vary from day to day and from zone to zone depending on current conditions.
Compute Engine always stops preemptible instances after they run for 24 hours. Certain actions reset this
24-hour counter.
Preemptible instances are finite Compute Engine resources, so they might not always be available.
Preemptible instances can't live migrate to a regular VM instance, or be set to automatically restart when there is a maintenance event.
Due to the above limitations, preemptible instances are not covered by any Service Level Agreement (and, for clarity, are excluded from the Compute Engine SLA).
The Google Cloud Free Tier credits for Compute Engine do not apply to preemptible instances.
Text Description automatically generated
Reference link- https://cloud.google.com/compute/docs/instances/preemptible
NEW QUESTION # 175
Your large and frequently changing organization's user information is stored in an on-premises LDAP database. The database includes user passwords and group and organization membership.
How should your organization provision Google accounts and groups to access Google Cloud resources?
- A. Use the Identity Platform REST API to create users
- B. Use the Firebase Authentication REST API to create users
- C. Replicate the LDAP infrastructure on Compute Engine
- D. Use Google Cloud Directory Sync to create users
Answer: D
Explanation:
You can run a single instance of Google Cloud Directory Sync to synchronize user accounts and groups to Google Cloud.
Reference:
https://support.google.com/a/answer/106368?hl=en
NEW QUESTION # 176
An organization has collected petabytes of historical dat
a. They need an advanced analysis solution that is fast, scalable, and fully managed. Which Google product or service should the organization use?
- A. Cloud SQL
- B. Firestore
- C. Cloud Storage
- D. BigOuery
Answer: D
Explanation:
BigQuery is a fully managed, serverless data warehouse that is designed for large-scale data analysis. It is optimized for handling petabytes of data and provides fast query performance. It is scalable and supports advanced analytical queries, making it ideal for organizations that need to analyze massive amounts of historical data efficiently.
Option A: BigQuery is correct because it is specifically designed for large-scale, advanced data analytics and is fully managed by Google Cloud.
Reference:
Google Cloud: BigQuery Product Overview
Google Cloud BigQuery: Advanced Data Analysis Capabilities
NEW QUESTION # 177
A fitness band company is continuously ingesting data from millions of its consumers. Different kinds of data based on time, like location, heartbeat rate, temperature, movement, etc. are connect-ed. They need a high throughput database that can write data very fast. Since their users are spread across the world, they need the database to be geographically scalable. Consumers also want to see near-real-time visualizations of their activities. Which of these databases would be a good fit?
- A. Spanner
- B. Cloud SQL
- C. Firestore
- D. Bigtable
Answer: D
Explanation:
Explanation
Bigtable is the best suited for time series data. It also has high read-write throughput and ability to scale globally.
NEW QUESTION # 178
An organization wants to control what types of network traffic are allowed to enter and leave its network and access its applications. Which security measure should the organization use?
- A. Privileged access
- B. Encryption keys
- C. 2-Step Verification
- D. Firewall rules
Answer: D
Explanation:
The correct answer is C. Firewall rules. Here's why:
Context of the Questio n : The organization wants to control what types of network traffic are allowed to enter and leave its network and access its applications.
Google Cloud Product Relevance:
Firewall rules are security settings used to control the flow of traffic to and from instances or resources in a network. They define which traffic is allowed or denied based on parameters such as IP address, protocol, and port.
Firewall rules are essential for protecting applications from unauthorized access and for ensuring that only trusted traffic is permitted.
Why Not Other Options:
A . Encryption keys: Encryption keys are used for data protection and encryption but do not control network traffic.
B . 2-Step Verification: This enhances account security by requiring a second form of authentication but does not control network traffic.
D . Privileged access: This refers to managing access rights for administrative tasks and is not related to controlling network traffic.
Google Cloud Digital Leader Reference:
Refer to Google Cloud VPC firewall documentation to understand how firewall rules are used to control network traffic.
NEW QUESTION # 179
A customer has a tens of applications that are dependent on Oracle databases in their on-premise data centers.
The customer wants to migrate to Google Cloud. Their long term goal is to move to other cloud native database technologies. What options do they have to initially move their data?
- A. Migrate to a Bare Metal server.
- B. Migrate to Cloud SQL.
- C. Containerize Oracle and run it using Cloud Run.
- D. Since there is no hosted Oracle solution, leave the Oracle data on-premise while doing analytics on Google Cloud.
Answer: B
Explanation:
Explanation
The Bare Metal solution is the recommended approach. You can deploy Oracle capabilities like clustered databases, replication, and all performance features at licensing costs that are similar to on-premise systems
https://cloud.google.com/architecture/migrating-bare-metal-workloads
NEW QUESTION # 180
An organization wants a centralized view of their cloud infrastructure in a fully managed system that includes uptime checks Which Google Cloud service should they use?
- A. Cloud Trace
- B. Cloud Profiler
- C. Cloud Logging
- D. Cloud Monitoring
Answer: D
NEW QUESTION # 181
Your organization is developing a mobile app and wants to select a fully featured cloud-based compute platform for it.
Which Google Cloud product or feature should your organization use?
- A. Cloud Functions
- B. Firebase
- C. Google Kubernetes Engine
- D. App Engine
Answer: B
NEW QUESTION # 182
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. BigQuery Data Transfer Service
- B. Storage Transfer Service
- C. Transfer Appliance
- D. Migrate for Anthos
Answer: B
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 # 183
The customer has applications that do data processing on-premise. They have been built using Ha-doop and Spark. What product should I use on Google Cloud?
- A. Dataplex
- B. Dataflow
- C. Dataproc
- D. Dataprep
Answer: C
Explanation:
Explanation
Because Dataproc is used to run Hadoop/Spark workloads
NEW QUESTION # 184
When is data automatically encrypted in Google Cloud?
- A. When it is at rest only.
- B. Data is not automatically encrypted by default.
- C. When it is in transit only.
- D. When it is at rest and in transit.
Answer: D
Explanation:
The correct answer is B. When it is at rest and in transit. Here's why:
* Context of the Question: The question is about when data is automatically encrypted by Google Cloud.
* Google Cloud Product Relevance:
* Google Cloud automatically encrypts data at rest and in transit. This means that data stored in Google Cloud (such as in Google Cloud Storage or BigQuery) is encrypted by default to protect it from unauthorized access. Similarly, data in transit between Google Cloud services or between users and Google Cloud is encrypted using TLS (Transport Layer Security).
* These automatic encryption measures are part of Google's comprehensive approach to data security, ensuring that data remains protected throughout its lifecycle.
* Why Not Other Options:
* A. When it is at rest only: This is incorrect because data is also encrypted in transit.
* C. When it is in transit only: This is incorrect because data is also encrypted at rest.
* D. Data is not automatically encrypted by default: This is incorrect as Google Cloud provides automatic encryption for data both at rest and in transit.
Google Cloud Digital Leader References:
* Refer to Google Cloud Encryption documentation for more information on how data is encrypted in Google Cloud.
NEW QUESTION # 185
An organization wants to add a new function to their application. They want to write the code and let the public cloud provider handle the infrastructure.
Which infrastructure solution should they use?
- A. Serverless computing
- B. Container Registry
- C. Virtual machines
- D. Bare Metal Solution
Answer: A
Explanation:
Explanation
Serverless computing , as public cloud prouder(eg. google) will mange the infra things
NEW QUESTION # 186
Considering Google Cloud Storage different Options which of the following is / are correct on the basis of their real world use cases?
- A. Cloud SQL : User Credentials, customer orders.
- B. Cloud Storage : Images, Large Media, files , backups.
- C. All of the Above.
- D. Google Cloud BigTable : AdTech, Financial and IoT Data.
Answer: C
Explanation:
Cloud Datastore is the best for semi-structured application data that is used in app engines' applications.
Bigtable is best for analytical data with heavy read/write events like AdTech, Financial or IoT data. Cloud Storage is best for structured and unstructured, binary or object data like images, large media files and backups. SQL is best for web frameworks and in existing applications like storing user credentials and customer orders. Cloud Spanner is best for large scale database applications that are larger than two terabytes; for example, for financial trading and e-commerce use cases. As I mentioned at the beginning of the module, depending on your application, you might use one or several of these services to get the job done.
NEW QUESTION # 187
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 to allow 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 that pairs both ingress and egress ports.
- D. Set up a high-priority (1000) rule that blocks all egress and a low-priority (65534) rule that allows only the appropriate ports.
Answer: B
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 # 188
An organization wants to build an entirely new infrastructure and applications in the cloud.
Which application modernization approach should the organization use?
- A. Invent in brownfield.
- B. Change their application, and then move it to the cloud.
- C. Invent in greenfield.
- D. Move the application to the cloud, and then change it.
Answer: C
Explanation:
Explanation
A Greenfield approach is a brand-new implementation , where companies then add their needed configurations and customizations. This approach provides a clean slate to start from, does not carry over needless customizations and technical debt, and provides a solid foundation for business process re-engineering.
A greenfield deployment is the design, installation and configuration of computer infrastructure where none existed before, for example, in a new office. In contrast, a brownfield deployment is an upgrade or addition to existing infrastructure using legacy components.
NEW QUESTION # 189
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?
- A. Spanner, Cloud SQL, BigQuery
- B. Cloud SQL, Firestore, Datastore
- C. Cloud SQL, Bigtable, BigQuery
- D. Cloud SQL, BigQuery, Datastore
Answer: A
Explanation:
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.
NEW QUESTION # 190
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 application with Firebase as the backend
- B. Build the mobile app with Cloud Storage as the backend
- C. Build the mobile app with Cloud Spanner as the backend
- D. Build the mobile app with Cloud SQL as the backend
Answer: A
Explanation:
Firebase/Firestore is easy to build and is suitable for user information that could bvary in nature.
NEW QUESTION # 191
You are leading projects in an IT services company. Your customer's project requires analyzing im-ages. They have many 10s of 1000s of raw images that they have made available to you. Your small technology team needs to build a machine learning model. The images are unlabeled. You don't have the people or the capacity to label the images. What is your approach?
- A. Look for open-source labeled images that closely resemble the given images.
- B. Hire temporary workers who can quickly label the images.
- C. Request data labeling service from Google.
- D. Tell the customer it is their duty to label the images.
Answer: D
Explanation:
Explanation
Google's Data Labeling Service lets you work with human labelers to generate highly accurate labels for a collection of data that you can use in machine learning models.
References:
-> https://cloud.google.com/vertex-ai/docs/datasets/data-labeling-job
-> https://cloud.google.com/ai-platform/data-labeling/docs
NEW QUESTION # 192
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