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| Vendor: | |
|---|---|
| Exam Code: | Cloud-Digital-Leader |
| Exam Name: | Cloud Digital Leader |
| Exam Questions: | 411 |
| Last Updated: | February 5, 2026 |
| Related Certifications: | Google Cloud Certified |
| Exam Tags: | Foundational level Google Cloud and Machine Learning Professionals |
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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?
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
While on-premise, an enterprise had multiple teams, each with its own analytics data store. Attempts to converge the storage for centralized, company-wide analysis failed because of speed and scaling issues. What would be the preferred destination architecture on Google Cloud?
BigQuery is the data warehousing option on Google Cloud. Since the source data has already been used for analysis, it should easily fit the BigQuery structure too.
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?
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.
Google Cloud VMware Engine: Migrate and Run VMware Workloads Natively
Google Cloud: Hybrid Cloud Solutions for VMware
An online retail organization wants to optimize their service.
What is an example of unstructured data that they can use to make decisions?
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?
The key reason I included this question is to clarify some terminologies that will be important for your estimates. The data size mentioned is a TB terabyte. Note the 'byte'. The speed is mentioned in Mbps, which is Megabits per second. Note the 'bits'. 8 bits make a byte. So, to get the actual number of bits transferred, you need to multiply the TB number by 8.
Total data transferred (in bits) = 100 * 1,000,000,000,000 * 8 bits
Speed = 100Mbps = 100 * 1,000,000. i.e. 100 million bits are transferred per second.
Hence time taken to transfer all the data = Total Data/Speed = 8,000,000 seconds.
Number of seconds in a day = 24*60*60 = 86,400
Total time taken in days = 8,000,000/86,400 = 92.59 days
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