Google Cloud Digital Leader Practice Questions
Prepare for Cloud-Digital-Leader with more than an answer.
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- v1Version 1 197 questions Locked
- Cloud-Digital-LeaderLegacy Google Cloud Digital Leader 145 questions Current
- Exam fee
- $99 USD
- Level
- Foundational
- Valid for
- 3 years
Domains covered on the exam 6
- Digital Transformation with Google Cloud17%
- Exploring Data Transformation with Google Cloud16%
- Innovating with Google Cloud Artificial Intelligence16%
- Modernize Infrastructure and Applications with Google Cloud17%
- Trust and Security with Google Cloud17%
- Scaling with Google Cloud Operations17%
- 1
A global logistics company needs a database solution for their tracking system. The system requires high write throughput, massive scalability to petabytes of data, and sub-second latency for millions of users updating package locations simultaneously. The data schema varies significantly between different shipping partners (NoSQL). Which Google Cloud database is best suited for this workload?
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Correct answer: B
Cloud Bigtable is a wide-column NoSQL database designed for high throughput and scalability (petabytes). It is ideal for time-series data, IoT, and tracking systems with heavy write loads and variable schemas, unlike Cloud SQL which is relational and harder to scale to this level.
- 2
Your marketing team wants to analyze customer behavior across website logs, CRM data, and ad campaign metrics. The data volume is growing by terabytes daily. They need a serverless solution that allows them to run SQL queries across this massive dataset without managing infrastructure or indexes. Which tool should they use?
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Correct answer: B
BigQuery is Google's serverless, highly scalable enterprise data warehouse. It allows for super-fast SQL queries using the processing power of Google's infrastructure, ideal for analytics on massive datasets without ops overhead.
- 3
A retail company collects clickstream data from its mobile app. They want to process this data in real-time to detect fraudulent transactions instantly. Which combination of Google Cloud services is designed for ingesting and processing streaming event data?
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Correct answer: B
Pub/Sub is a messaging service for ingesting event streams, and Dataflow is a stream and batch processing service. Together, they form the standard Google Cloud pattern for real-time streaming analytics pipelines.
flowchart LR Source[App Events] --> PubSub[Pub/Sub] PubSub --> Dataflow[Dataflow] Dataflow --> Storage[(BigQuery/Storage)] - 4
A global retail corporation is migrating its legacy on-premises ERP system to Google Cloud. The CFO is concerned about the shift in financial modeling. Currently, they depreciate hardware assets over 5 years. Upon migration to a fully cloud-native serverless architecture, how will their financial model primarily shift, and what is the immediate impact on their balance sheet?
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Correct answer: B
Cloud computing shifts IT spending from Capital Expenditure (CapEx), where hardware is bought upfront and depreciated, to Operational Expenditure (OpEx), where services are paid for as they are consumed (pay-as-you-go). This increases financial agility and removes long-term asset lock-in.
- 5
A financial institution requires a new application to handle high-frequency trading data. The application must run in a strictly controlled environment where the institution manages the operating system, middleware, and runtime to ensure compliance with specific banking regulations. They do not want to manage the physical servers or virtualization layer. Which cloud service model is appropriate?
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Correct answer: C
In an Infrastructure as a Service (IaaS) model, the cloud provider manages the physical hardware, networking, and virtualization. The customer is responsible for the operating system, middleware, runtime, data, and applications. This fits the requirement of needing OS-level control without managing physical servers.
graph TD subgraph Provider["Provider Manages"] Hard[Hardware] Virt[Virtualization] end subgraph Customer["Customer Manages"] OS[Operating System] Middle[Middleware] Run[Runtime] App[Application] Data[Data] end Provider --> Customer - 6
Which of the following scenarios best illustrates the concept of 'Elasticity' in cloud computing infrastructure?
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Correct answer: B
Elasticity is the ability of a system to automatically scale resources out (add) and in (remove) to match demand. This dynamic adjustment ensures performance during peaks and cost savings during troughs, unlike simple scalability which often refers to just growing.
