Free Cloud-Digital-Leader Practice Test Questions and Answers (2026)

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Q: 1
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?
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11 comments in the community discussion
5
B. not A. Structured and unstructured data analysis at scale is exactly what cloud data warehouses do best here.
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B , seen this on a few practice exams and official docs back it up for real-time data analysis use cases.
Q: 2
Your organization is moving an application to Google Cloud. As part of that effort, it needs to migrate the application’s working database from another cloud provider to Cloud SQL. The database runs on the MySQL engine. The migration must cause minimal disruption to users. Data must be secured while in transit. Which should your organization use?
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19 comments in the community discussion
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C . Database Migration Service is built for moving MySQL databases with minimal downtime and encrypts data in transit, which fits the question's requirements. BigQuery DTS isn't for transactional DB migration, and batch insert would cause more disruption. Not 100% if there's edge cases I missed!
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C
Q: 3
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?
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22 comments in the community discussion
5
C . The service account is the identity BigQuery checks, not the VM or group. Official practice tests and docs point out this exact thing, so I'd check those again if in doubt.
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C
Q: 4
You are currently managing workloads running on Windows Server for which your company owns the licenses. Your workloads are only needed during working hours, which allows you to shut down the instances during the weekend. Your Windows Server licenses are up for renewal in a month, and you want to optimize your license cost. What should you do?
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13 comments in the community discussion
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C tbh, BYOL could be cheaper if you already own the licenses. PAYG feels like a trap here.
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Its C, had something like this in a mock exam.
Q: 5
A Customer has their current SAP systems using Microsoft SQL Server as the Database. They are migrating to Google Cloud and also preparing to later migrate to the latest ver-sion of SAP. The entire IT team is being directed to focus on the migration to the new ver-sion of SAP. The new version of SAP does not use Microsoft SQL Server as the Database, Any but the most critical IT management tasks are being deprioritized, How should they migrate their current database to Google Cloud?
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17 comments in the community discussion
2
D imo. It’s managed and supports SQL Server, so less overhead while they prep for the SAP upgrade.
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Probably D, Cloud SQL is managed and handles SQL Server well for migration. Saw similar on official practice test and the guide.
Q: 6
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?
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11 comments in the community discussion
1
Cloud Vision API is perfect for categorizing objects in static images, so it's C. BigQuery ML and AutoML Tables deal with structured data, not raw images. AutoML Video is for video streams. Pretty confident here.
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CI think it's Cloud Vision API since that's the one for image object detection. BigQuery ML and AutoML Tables are more for structured data, not images. Not totally sure if AutoML Video could do images too but pretty sure C fits best here. Agree?
Q: 7
You are a program manager within a Software as a Service (SaaS) company that offers rendering software for animation studios. Your team needs the ability to allow scenes to be scheduled at will and to be interrupted at any time to restart later. Any individual scene rendering takes less than 12 hours to complete, and there is no service-level agreement (SLA) for the completion time for all scenes. Results will be stored in a global Cloud Storage bucket. The compute resources are not bound to any single geographical location. This software needs to run on Google Cloud in a cost-optimized way. What should you do?
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13 comments in the community discussion
A
Its A. Preemptible instances are perfect when you don’t need strict uptime and want lower costs.
Q: 8
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?
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13 comments in the community discussion
2
B makes the most sense. Since they're not under pressure to move right away, they can refactor the VMs into containers on-prem first and then migrate. Pretty sure "Improve and Move" is about modernizing before moving to GKE, agree?
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Its B
Q: 9
Your organization wants to be sure that is expenditures on cloud services are in line with the budget. Which two Google Cloud cost management features help your organization gain greater visibility into its cloud resource costs? (Choose two.)
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14 comments in the community discussion
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B and D, if the question meant enforcing budget rules instead of just visibility.
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B A and B are the best picks here. Billing dashboards show actual spend and resource labels let you break down costs by team or project. D is tempting but more about policy than visibility, right? Pretty sure these are what Google expects.
Q: 10
Your organization wants to predict the behavior of visitors to its public website. To do that, you have decided to build a machine learning model. Your team has database-related skills but only basic machine learning skills, and would like to use those database skills. Which Google Cloud product or feature should your organization choose?
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15 comments in the community discussion
2
Option A Saw a similar question in practice sets, pretty sure BigQuery ML lets you run ML models using SQL so database folks can stick to what they know.
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Feels like D since Cloud SQL matches their database experience and keeps everything familiar. Still, not totally sure if it covers ML part.
Q: 11
In terms of Cloud SQL for MySQL Features offered by Google Cloud Platform which of the statements is/are correct?
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5 comments in the community discussion
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Option B only. A and C just aren't true for Cloud SQL unless there's some niche restriction not mentioned.
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Why not A? Cloud SQL does support private IP using private service access, so A is incorrect.
Q: 12
An organization has created an ecommerce website. What data on this website would be considered structured data?
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7 comments in the community discussion
I don't think it's B or C since reviews and descriptions are usually free-text, so not structured. D makes sense because it's a numeric value, fits well in rows/columns in a database. A seems like a trap, photos aren't structured data. Anyone see this worded differently before?
Probably D, since scores are numeric and easily stored in databases as structured data. Product photos or reviews would be unstructured.
Q: 13
An organization wants to scale their existing virtual machine architecture as quickly as possible. Why should the organization use VMware Engine?
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4 comments in the community discussion
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C makes sense since moving VMs to containers usually means you get more portability and can scale using Kubernetes or GKE. Cloud providers talk a lot about containerizing for fast scaling, so I think C still fits. Disagree?
Its C, since moving VMs to containers is a common way to scale faster.
Q: 14
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?
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4 comments in the community discussion
C makes sense here. 100TB over a 100Mbps line is super slow-definitely not something that can finish in a day or even a week. Quick math shows it's close to around 100 days, so C seems solid. Let me know if I missed any trick in the calculation but feels right.
Q: 15
An organization's applications run on an inflexible, on-premises architecture. The organization has decided to modernize their existing applications with the cloud. What may have prompted this business decision?
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1 comment in the community discussion
6
D. Developers want to test ideas and experiment with more ease. Makes sense since cloud helps speed up dev cycles. Pretty sure that's the intent here.
Q: 16
A customer has new applications to build that has to handle both batch data and streaming dat a. Which product should they choose?
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2 comments in the community discussion
5
B. great question for testing understanding of Google data services!
Yeah, pretty sure it's B here. Dataflow supports both batch and streaming, unlike Dataproc or Dataprep which are more specialized. Saw similar in recent exam reports. Agree?
Q: 17
An organization has decided to modernize their applications in the cloud to keep up with their customers' needs. What may have prompted this business decision?
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3 comments in the community discussion
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Its D, because slow update cycles on-prem usually push businesses toward cloud adoption. Makes sense if they're struggling with deployment speed.
Q: 18
An organization wants full control of their virtual machine infrastructure for a custom home-grown application with a product that autoscales and automatically updates. Which Google Cloud product or solution should the organization use?
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3 comments in the community discussion
C for sure. To get actual control over VMs, Compute Engine is the way. The others like Cloud Run or App Engine abstract away the infrastructure so you lose that root-level access. Seen similar on other practice sets too, so pretty confident here.
C imo. Compute Engine is the only option here that gives full VM-level control, so you can manage custom apps and set up autoscaling yourself. The others are more managed or serverless, not the same level of control.
Q: 19
“With cloud messaging you can Customize and deliver messages accordingly to the predetermined time in the user's local time zone.” Comment on the above statement.
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4 comments in the community discussion
Is the question specifically referring to scheduling messages natively with FCM, or just the capability to deliver at a user’s local time if you handle scheduling server-side? That would change whether D is accurate.
Q: 20
Google Cloud Platform (GCP) provides three main compliance resource webpages. What are they? (Select Three Answer)
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5 comments in the community discussion
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C or D. Reports Manager and Compliance Offerings are definitely in, but not sure if GDPR Home Page is the third or if it goes by a slightly different name. I think it's A, C, D but not 100%.
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Option A C, D
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