Google Cloud Digital Leader Exam Prep

What's inside

1. Level 1: Exam Facts, Cloud Terms and BenefitsFree
   [Digital Transformation with Google Cloud] This level serves 1.1. It starts with the exam facts: 90 minutes, 50-60 multiple choice and multiple select questions, $99. It explains that the official exam guide belongs to Google, is not reproduced here and is free on Google's Cloud Digital Leader certification page, that this course is independent of Google and not endorsed by it, and that no pass is promised. It then defines cloud, agentic AI, infrastructure, digital transformation, open source and open standard, and explains the benefits of cloud technology to a business's transformation.
2. Level 2: Drivers, Differentiators and Cloud ArchitecturesFree
   [Digital Transformation with Google Cloud] This level serves 1.1 and 1.2. It covers what drives organizations to transform, common hurdles and the risks of not adopting cloud. It then covers Google Cloud's top differentiators and the business use cases for private cloud, hybrid cloud and multicloud.
3. Level 3: Networking, Regions, Zones and Service Models
   [Digital Transformation with Google Cloud] This level serves 1.2. It defines IP addresses, DNS, latency and bandwidth, explains how regions, zones and edge locations work together in Google Cloud's global network, and compares the benefits and trade-offs of IaaS, PaaS and SaaS.
4. Level 4: Data's Value, Data Types and Governance
   [Exploring Data Transformation with Google Cloud] This level serves 2.1. It covers why data is valuable and how databases, data warehouses and data lakes differ. It also covers first-party, second-party and third-party data, structured, unstructured and semi-structured data, the data supply chain, data governance, and openness as the way to avoid data silos and vendor lock-in.
5. Level 5: Choosing Google Cloud Data Products
   [Exploring Data Transformation with Google Cloud] This level serves 2.2. It defines relational, non-relational, object storage, SQL and NoSQL. It then teaches how to choose between Cloud Storage, Spanner, Cloud SQL, AlloyDB, Bigtable, BigQuery and Firestore, how to compare the Cloud Storage classes and Autoclass, and how to migrate or modernize a database.
6. Level 6: Looker, Streaming Analytics and Data Pipelines
   [Exploring Data Transformation with Google Cloud] This level serves 2.3. It covers how Looker democratizes access to data, the value of analyzing BigQuery data in Looker, why real-time streaming analytics matters, and how Pub/Sub, Dataflow and Managed Service for Apache Spark modernize data pipelines.
7. Level 7: AI, ML, Gen AI and Agentic AI in Business
   [Innovating with Google Cloud Artificial Intelligence] This level serves 3.1. It defines AI, ML, gen AI, data analytics and business intelligence. It shows how agentic AI is reshaping industries and work, covers the key benefits of Google Cloud's AI offerings, and identifies the business problems ML can solve.
8. Level 8: Data Quality, Responsible AI and AI Strategy
   [Innovating with Google Cloud Artificial Intelligence] This level serves 3.1 and 3.2. It explains why AI needs high-quality data and names the dimensions of data quality. It covers the business implications of explainable and responsible AI, and the strategic considerations when selecting Google Cloud AI solutions.
9. Level 9: Agent Platform, Pre-trained APIs and AI Hypercomputer
   [Innovating with Google Cloud Artificial Intelligence] This level serves 3.2. It covers Gemini Enterprise Agent Platform and the Agent Platform API, Vision API, Cloud Translation API, Speech-to-Text API and Gemini. It also covers building custom models with Agent Studio and AutoML on Agent Platform, the components of AI Hypercomputer, and BigQuery ML.
10. Level 10: Migration Paths and Compute Fundamentals
    [Modernize Infrastructure and Applications with Google Cloud] This level serves 4.1. It defines the cloud migration terms: workload, discovery and assessment, retire, retain, rehost, replatform, refactor and reimagine. It also defines the compute terms: VMs, containers, microservices, serverless, Spot VMs, Kubernetes, autoscaling, load balancing and managed services.
11. Level 11: Compute Engine, GKE and Serverless
    [Modernize Infrastructure and Applications with Google Cloud] This level serves 4.2. It covers the business value of Compute Engine, of modern application development, of GKE for containers, and of serverless computing with Cloud Run and Cloud Run functions.
12. Level 12: Multicloud Products, APIs and Apigee
    [Modernize Infrastructure and Applications with Google Cloud] This level serves 4.2 and 4.3. It covers the products supported on multicloud and hybrid cloud environments. It then defines an API, shows how public-facing APIs create new business opportunities and revenue, and covers the business value of Apigee API Management.
13. Level 13: Threats and Cloud Security Fundamentals
    [Trust and Security with Google Cloud] This level serves 5.1. It covers cybersecurity threats and their business implications, the difference between cloud security and on-premises security, and why control, compliance, confidentiality, integrity and availability matter in a cloud security model.
14. Level 14: Security Terms, Encryption, IAM and SecOps
    [Trust and Security with Google Cloud] This level serves 5.1. It defines the key security terms and shows how encryption protects data in use, in transit and at rest. It separates authentication, authorization and auditing, and defines the SecOps terms.
15. Level 15: Google's Security Offerings and Earning Trust
    [Trust and Security with Google Cloud] This level serves 5.2 and the rest of the section. It covers how Google Cloud secures every layer of the AI stack, Google Threat Intelligence and its sources, Security Command Center, Google Security Operations, Model Armor and the guide's other security offerings, and how Google earns customer trust.
16. Level 16: CapEx to OpEx, Cost Governance and Hierarchy
    [Scaling with Google Cloud Operations] This level serves the section's financial and governance items. It covers the move from capital expenditure to operating expenditure, cost governance, the resource hierarchy and consumption controls.
17. Level 17: Observability, Reliability, SLIs, SLOs and SLAs
    [Scaling with Google Cloud Operations] This level serves the section's operations items. It covers observability, reliability and resilience, and how SLIs, SLOs and SLAs relate to one another.
18. Level 18: Timed Mock Exam (50 Questions, 90 Minutes) Timed mock
    [All six sections] A timed mock exam of 50 original scenario questions in 90 minutes, weighted like the exam guide's sections, testing recognition, product contrast and best-answer judgement across all of them, with every distractor explained.

Access

The first 2 levels are free with a free account. Every level, the podcast edition and the AI tutor come with All Access at £4.99/month or any Creator plan — see pricing.

Start free →