Google Cloud Digital Leader study materials
Google Cloud Digital Leader study resources

Google Cloud Digital Leader study guide

Google Cloud Digital Leader · Work through your exam, one topic at a time.

This independent study page provides practice for Google Cloud Digital Leader. Its editorial learning areas include Cloud Adoption and Implementation; Google infrastructure and application modernization decisions; Cloud Security, Risk and Compliance; Cloud Operations and Management; Data transformation and Google analytical decisions; AI and machine-learning decisions in the Google study framework. The Google Cloud Digital Leader study guide has 6 sections and about 2,993 words.

01

Cloud Adoption and Implementation

The Cloud Adoption and Implementation domain tests the decision and delivery work: building the business case, assessing readiness, choosing a migration approach, selecting a provider, negotiating SLAs and planning an exit. Questions here are scenario-based and reward candidates who count the costs others forget.

406 words, about 2 min
02

Google infrastructure and application modernization decisions

The Cloud Architecture and Service Models domain tests how cloud environments are structured and who is responsible for what. You need the NIST reference architecture roles, the three service models with their management boundaries, the four deployment models, and the enabling technologies of virtualisation and multi-tenancy.

706 words, about 4 min
03

Cloud Security, Risk and Compliance

The Cloud Security, Risk and Compliance domain tests whether you can place controls correctly across the shared responsibility model and evidence compliance. Questions typically describe a service and ask who owns a control, or which standard or legal obligation applies.

485 words, about 2 min
04

Cloud Operations and Management

The Cloud Operations and Management domain tests running cloud services day to day: monitoring against service levels, managing capacity and cost, handling incidents and changes, and proving recoverability. It assumes the service is already live and asks how you keep it healthy and affordable.

465 words, about 2 min
05

Data transformation and Google analytical decisions

Data transformation begins with a business question and the evidence needed to answer it. An organization can collect large quantities of data without improving a decision if ownership, definitions, quality or access are unclear.

451 words, about 2 min
06

AI and machine-learning decisions in the Google study framework

Artificial intelligence is a broad category of systems that perform tasks associated with reasoning, perception, language or decision support. Machine learning develops behavior from patterns in data rather than specifying every rule manually.

480 words, about 2 min