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| Vendor: | |
|---|---|
| Exam Code: | Cloud-Digital-Leader |
| Exam Name: | Cloud Digital Leader |
| Exam Questions: | 414 |
| Last Updated: | March 27, 2026 |
| Related Certifications: | Google Cloud Certified |
| Exam Tags: | Foundational level Google Cloud and Machine Learning Professionals |
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An organization needs to store daily transactional data such as customer records and purchase history. The data follows a consistent schema and is cross-referenced. Which type of service should the organization use?
Relational databases are ideal for storing transactional data that follows a consistent schema and requires cross-referencing (e.g., customer records and purchase history). They provide ACID (Atomicity, Consistency, Isolation, Durability) compliance, which is essential for reliable transaction processing.
Option C: Relational database is correct because it is specifically designed for structured data with a consistent schema and supports complex queries and cross-referencing of data, which is essential for transactional systems.
Google Cloud: Cloud SQL and Cloud Spanner (Relational Database Services)
Google Cloud Database Solutions: Selecting the Right Database
What does Cloud Debugger help an organization do?
Cloud Debugger is a feature of Google Cloud Platform that lets you inspect the state of an application, at any code location, without stopping or slowing down the running app. Cloud Debugger makes it easier to view the application state without adding logging statements.
An organization wants to deploy new workloads to the cloud but must keep some systems on-premises for compliance reasons Both environments must be managed centrally Which type of environment should the organization use1?
An organization is building advanced machine learning models in Google Cloud by using TensorFlow. They want to develop their models faster with purpose-built hardware. Which solution should the organization use?
Tensor Processing Units (TPUs) are a type of purpose-built hardware designed specifically to accelerate machine learning workloads, particularly those involving TensorFlow. TPUs provide significant speed and performance improvements over general-purpose CPUs and even GPUs when running complex ML models.
Option C: TPUs is correct because TPUs (Tensor Processing Units) are optimized to accelerate the training of machine learning models developed with TensorFlow, providing faster performance compared to other hardware.
Google Cloud: TPUs Overview
Google Cloud AI and Machine Learning Products: Accelerators for TensorFlow
''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.
Firebase Cloud Messaging:
Firebase Cloud Messaging (FCM) is a cross-platform messaging solution that lets you reliably send messages at no cost.
Using FCM, you can notify a client app that new email or other data is available to sync. You can send notification messages to drive user re-engagement and retention. For use cases such as instant messaging, a message can transfer a payload of up to 4000 bytes to a client app.
Key capabilities of Firebase Cloud Messaging:
Send notification messages or data messages:Send notification messages that are displayed to your user. Or send data messages and determine completely what happens in your application code.
Versatile message targeting:Distribute messages to your client app in any of 3 ways---to single devices, to groups of devices, or to devices subscribed to topics.
Send messages from client apps:Send acknowledgments, chats, and other messages from devices back to your server over FCM's reliable and battery-efficient connection channel.
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