[2025] Pass Cloud-Digital-Leader Exam - Real Questions and Answers
Cloud-Digital-Leader Exam Questions Get Updated [2025] with Correct Answers
NEW QUESTION # 75
Which of the following is / are true for Preemptible Instances.
- A. Preemptible Instances have no Service Level Agreement (Compute Engine SLA).
- B. Preemptible instances can't live migrate to a regular VM instance, or be set to au-tomatically restart when there is a maintenance event.
- C. All of the above.
- D. Google Cloud Free Tier credits for compute engine do not apply to preemptible in-stances.
Answer: C
Explanation:
Explanation
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.
NEW QUESTION # 76
You are looking for a one stop reference page for GCP support. What Page would you se-lect?
- A. Google Cloud Platform Status
- B. Pricing Page
- C. Compliance Hub
- D. Support Hub
Answer: D
Explanation:
Explanation
Google provides a page that brings together everything needed around support. Its called the Support Hub Reference link- https://cloud.google.com/support-hub
NEW QUESTION # 77
Your organization needs to allow a production job to have access to a BigQuery dataset. The production job is running on a Compute Engine instance that is part of an instance group.
What should be included in the IAM Policy on the BigQuery dataset?
- A. The Compute Engine instance
- B. The Compute Engine instance group
- C. The project that owns the Compute Engine instance
- D. The Compute Engine service account
Answer: D
Explanation:
Explanation
When an identity calls a Google Cloud API, BigQuery requires that the identity has the appropriate permissions to use the resource. You can grant permissions by granting roles to a user, a group, or a service account.
Reference link- https://cloud.google.com/bigquery/docs/access-control
NEW QUESTION # 78
As your organization increases its release velocity, the VM-based application upgrades take a long time to perform rolling updates due to OS boot times. You need to make the application deployments faster.
What should your organization do?
- A. Automate your upgrade rollouts
- B. Increase the resources of your VMs
- C. Convert your applications into containers
- D. Migrate your VMs to the cloud, and add more resources to them
Answer: A
NEW QUESTION # 79
What cloud service model would you want to select if you want to solve a particular busi-ness problem by providing CRM services in the cloud to your enterprises?
- A. CaaS
- B. IaaS
- C. PaaS
- D. SaaS
Answer: D
Explanation:
SaaS - Software as a Service (SaaS) provides you a complete product that is run and managed by the service provider. You worry only about using the software and not about infrastructure.
SaaS provides the lowest level of flexibility and management control over the infrastructure. (Example: Google Gsuite and MS O365)
NEW QUESTION # 80
What is a defining feature of a non-relational database?
- A. Queries that join multiple tables
- B. A flexible data model
- C. A strictly enforced schema
- D. Repotting across multiple data sources
Answer: B
NEW QUESTION # 81
A vacation home rental organization wants to predict the popularity of properties in their upcoming busy season. They do not have a data science team, and want to use their in-house database administration skills to create a machine learning model. What should the organization do?
- A. Integrate pre-trained APIs into their application.
- B. Use BigQuery ML and create models using SQL.
- C. Use custom training in Vertex Al with TensorFlow.
- D. Build a model in AutoML using labeled data.
Answer: B
Explanation:
The correct answer is B. Use BigQuery ML and create models using SQL. Here's why:
* Context of the Question: The organization wants to predict property popularity for the upcoming busy season but does not have a data science team and relies on in-house database administration skills.
* Google Cloud Product Relevance:
* BigQuery ML enables data analysts and database administrators to build and run machine learning models using SQL queries directly within BigQuery. This makes it accessible to users familiar with SQL, eliminating the need for advanced data science skills.
* BigQuery ML is ideal for this organization since it allows them to leverage their existing SQL skills to build predictive models without the complexity of custom machine learning frameworks or coding in languages like Python.
* Why Not Other Options:
* A. Use custom training in Vertex AI with TensorFlow: This requires expertise in TensorFlow and machine learning, which the organization lacks.
* C. Build a model in AutoML using labeled data: AutoML does simplify the ML model- building process but still requires more knowledge than basic SQL. Also, BigQuery ML allows the use of existing SQL skills, which is preferred in this scenario.
* D. Integrate pre-trained APIs into their application: Pre-trained APIs are suitable for common use cases like image recognition or natural language processing, not for custom predictions based on unique data like property popularity.
Google Cloud Digital Leader References:
* Refer to BigQuery ML documentation for more details on using SQL to create and use ML models.
NEW QUESTION # 82
structured data?
- A. Product ratings
- B. Call center transcripts
- C. Historical stock inventory
- D. Customer orders
Answer: B
Explanation:
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
NEW QUESTION # 83
An organization wants to measure everything as part of its new DevOps philosophy. What should the organization measure?
- A. The speed of their cloud adoption process.
- B. The risk and reward of their investments.
- C. The satisfaction and happiness of their employees.
- D. The reliability and health of their systems.
Answer: D
Explanation:
Explanation
Graphical user interface, text, application, email Description automatically generated
https://newrelic.com/devops/measuring-devops#toc-devops-measurments-for-team-health
NEW QUESTION # 84
What is the Site Reliability Engineering (SRE) term for an organizations desired level of reliability and performance?
- A. Scalable infrastructure
- B. Enhanced support
- C. Service-level objective
- D. Service-level indicator
Answer: C
Explanation:
The correct answer is D. Service-level objective. Here's why:
* Context of the Question: The organization wants to understand the term used in Site Reliability Engineering (SRE) for defining the desired level of reliability and performance.
* Google Cloud Product Relevance:
* A Service-Level Objective (SLO) is a key term in SRE, representing the target level of reliability or performance for a specific service. SLOs define acceptable levels of service in terms of availability, latency, or other performance metrics. They are used to set clear expectations and help measure whether services meet the desired reliability levels.
* SLOs are closely tied to Service-Level Agreements (SLAs) and Service-Level Indicators (SLIs), where SLIs measure specific aspects of service performance, and SLOs set the target levels based on those indicators.
* Why Not Other Options:
* A. Enhanced support: This is a support option for Google Cloud customers and is not related to SRE concepts.
* B. Scalable infrastructure: This refers to cloud infrastructure's ability to scale resources up or down but is not specific to reliability and performance metrics.
* C. Service-level indicator: An SLI measures a specific aspect of the service's performance but does not define the target level of performance.
Google Cloud Digital Leader References:
* Refer to the Site Reliability Engineering (SRE) documentation to learn more about SLOs, SLIs, and SLAs.
NEW QUESTION # 85
If you increase the size of a subnet in a custom VPC network, the IP addresses of virtual machines already on that subnet might be affected. Which options are Correct.
- A. Not Defined by Google Cloud Platform
- B. None of the above
- C. True
- D. False
Answer: D
Explanation:
Explanation
You can dynamically increase the size of a subnet in a custom network by expanding the range of IP addresses allocated to it. Doing that doesn't affect already configured VMs.
NEW QUESTION # 86
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. VMWare vSphere
- B. Compute Engine
- C. Bare Metal Solution
- D. Google Cloud VMware Engine
Answer: D
Explanation:
Google Cloud VMware Engine is a fully managed service that allows organizations to run VMware environments natively in Google Cloud. It enables customers to retain their existing VMware operational processes, tools, and policies while migrating to the cloud, providing a seamless transition for VMware-based workloads.
Option A: Google Cloud VMware Engine is correct because it supports VMware environments and allows for continuity of existing operations and tools.
References:
* Google Cloud VMware Engine: Migrate and Run VMware Workloads Natively
* Google Cloud: Hybrid Cloud Solutions for VMware
NEW QUESTION # 87
Your organization needs to ensure that the Google Cloud resources of each of your departments are segregated from one another. Each department has several environments of its own: development, testing, and production. Which strategy should your organization choose?
- A. Create a Cloud Identity domain per environment, and create a project per department in each domain.
- B. Create a project per department, and create a folder per environment in each project.
- C. Create a Cloud Identity domain per department, and create a project per environment in each domain.
- D. Create a folder per department, and create a project per environment in each folder.
Answer: D
Explanation:
Reference link- https://cloud.google.com/resource-manager/docs/creating-managing-folders Reference link- https://stackoverflow.com/questions/59460623/how-to-create-a-folder-a-project-under-it-with-deployment-manager-google-cloud
NEW QUESTION # 88
Your organization runs many workloads in different Google Cloud projects, each linked to the same billing account. Each project's workload costs can vary from month to month, but the overall combined cost of all projects is relatively stable. Your organization needs to optimize its cost.
What should your organization do?
- A. Purchase a commitment per project for each project's usual minimum
- B. Turn on committed use discount sharing, and create a commitment for the combined usage
- C. Create a billing account per project, and link each project to a different billing account
- D. Move all workloads from all different projects into one single consolidated project
Answer: C
Explanation:
Billing contacts
NEW QUESTION # 89
Your organization needs a large amount of extra computing power within the next two weeks.
After those two weeks, the need for the additional resources will end.
Which is the most cost-effective approach?
- A. Purchase multiple physical computers and scale workload across them
- B. Start a very powerful virtual machine without using a committed use discount
- C. Purchase one very powerful physical computer
- D. Use a committed use discount to reserve a very powerful virtual machine
Answer: B
NEW QUESTION # 90
Your client is building a custom machine learning pipeline to identify lesions in the lungs based on x-rays.
Different teams of data scientists are sharing common source data and building many ver-sions of ML models. Which of these Cloud Storage options would be best for them?
- A. Retain the data in use in a single region bucket with standard storage.
- B. Retain the data in use in a single region bucket with nearline storage. Retain the data in use in a dual- region bucket.
- C. Retain the data in use in a multi-region bucket.
- D. Retain the data in use in a dual-region bucket.
Answer: A
Explanation:
Integrated repository for analytics and ML: The highest level of availability and performance within a single region is ideal for compute, analytics, and machine learning workloads in a particular region. Cloud Storage is also strongly consistent, giving you confidence and accuracy in analytics workloads.
Table Description automatically generated with medium confidence
https://cloud.google.com/storage/docs/storage-classes
NEW QUESTION # 91
Your organization needs to restrict access to a Cloud Storage bucket. Only employees who are based in Canada should be allowed to view the contents.
What is the most effective and efficient way to satisfy this requirement?
- A. Configure Google Cloud Armor to allow access to the bucket only from IP addresses based in Canada
- B. Create a group consisting of all Canada-based employees, and give the group access to the bucket
- C. Deploy the Cloud Storage bucket to a Google Cloud region in Canada
- D. Give each employee who is based in Canada access to the bucket
Answer: B
NEW QUESTION # 92
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 Google Cloud Directory Sync to create users
- B. Use the Firebase Authentication REST API to create users
- C. Use the Identity Platform REST API to create users
- D. Replicate the LDAP infrastructure on Compute Engine
Answer: A
Explanation:
You can run a single instance of Google Cloud Directory Sync to synchronize user accounts and groups to Google Cloud.
Reference: https://cloud.google.com/architecture/identity/federating-gcp-with-active-directory-introduction Text Description automatically generated
https://support.google.com/a/answer/106368?hl=en
NEW QUESTION # 93
Your client is building a custom machine learning pipeline to identify lesions in the lungs based on x-rays.
Different teams of data scientists are sharing common source data and building many ver-sions of ML models. Which of these Cloud Storage options would be best for them?
- A. Retain the data in use in a single region bucket with standard storage.
- B. Retain the data in use in a single region bucket with nearline storage. Retain the data in use in a dual- region bucket.
- C. Retain the data in use in a multi-region bucket.
- D. Retain the data in use in a dual-region bucket.
Answer: A
Explanation:
Integrated repository for analytics and ML: The highest level of availability and performance within a single region is ideal for compute, analytics, and machine learning workloads in a particular region. Cloud Storage is also strongly consistent, giving you confidence and accuracy in analytics workloads.
Table Description automatically generated with medium confidence
https://cloud.google.com/storage/docs/storage-classes
NEW QUESTION # 94
A customer has new applications to build that has to handle both batch data and streaming dat a. Which product should they choose?
- A. Dataprep
- B. Data Fusion
- C. Dataflow
- D. Dataproc
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 # 95
An organization has created an application that can diagnose different medical conditions when users submit images of their affected body parts.
Which Google Cloud product or service did the organization use?
- A. App Engine
- B. Cloud Profiler
- C. Machine learning
- D. Cloud Logging
Answer: C
NEW QUESTION # 96
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 Tables
- C. BigQuery ML
- D. AutoML Video Intelligence
Answer: A
Explanation:
Reference:
Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more.
Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.
NEW QUESTION # 97
A manager wants to review Google Cloud data access among their employees.
Who is responsible for defining data access policies?
- A. Cloud Identity
- B. Their organization's end users
- C. Google Cloud Customer Care team
- D. Their organization's IT team
Answer: D
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 # 98
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?
- A. Run the application in additional regions in Europe.
- B. Run a replica of the application in a region in the United States.
- C. Set up a new billing account in the United States.
- D. Run the application in additional zones in the European region.
Answer: B
NEW QUESTION # 99
What is the difference between Standard and Coldline storage?
- A. Standard and Coldline storage have different durability guarantees.
- B. Coldline storage is for infrequently accessed data.
- C. Coldline storage is for data for which a slow transfer rate is acceptable.
- D. Standard and Coldline storage use different APIs.
Answer: B
Explanation:
Reference: https://www.msp360.com/resources/blog/google-cloud-nearline-storage-vs-coldline-vs-standard/ Google Cloud Coldline is a new cold-tier storage for archival data with access frequency of less than once per year. Unlike other cold storage options, Nearline has no delays prior to data access, so now it is the leading solution among competitors.
NEW QUESTION # 100
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