Google Cloud Digital Leader (CDL) is Google Cloud's foundational certification. It shows you can explain what the cloud does for a business, which Google Cloud products fit which needs, and how AI, data, security and cost control work at a high level. No coding is needed. It is a good first credential for freshers, non-IT graduates, testers, support staff, sales and pre-sales people, and managers.
The exam guide was refreshed on 12 August 2026, with more on agentic AI, the Gemini Enterprise Agent Platform, AI Hypercomputer and AI security. This guide covers all six sections, a 3-week plan and 20 original practice questions.
Quick facts (Google Cloud, November 2026)
| Item | Detail |
|---|---|
| Length | 90 minutes |
| Questions | 50–60 multiple choice |
| Fee | USD 99 (plus tax where applicable) |
| Languages | English, Japanese, Spanish, Portuguese, French |
| Delivery | Online-proctored or onsite-proctored |
| Prerequisites | None; experience working with technical professionals recommended |
| Valid for | 3 years |
| Renewal | Standard exam, or a renewal exam (45 minutes, 20 questions, USD 60) from 180 days before expiry |
Read the official Cloud Digital Leader page and exam guide before you book.
Who should take Cloud Digital Leader?
- Freshers and students who want a first cloud certificate on their résumé.
- Non-IT graduates moving into IT support, sales or operations roles.
- Testers, analysts and project coordinators working with cloud teams.
- Managers who need to talk about cloud and AI with confidence.
Planning a technical career? Take CDL as a warm-up, then the Associate Cloud Engineer. Compare it with AWS Cloud Practitioner and AZ-900 in our best certifications for freshers guide.
Sections and weights
| Section | Weight |
|---|---|
| 1. Digital transformation with Google Cloud | ~18% |
| 2. Exploring data transformation with Google Cloud | ~18% |
| 3. Innovating with Google Cloud artificial intelligence | ~18% |
| 4. Modernize infrastructure and applications with Google Cloud | ~18% |
| 5. Trust and security with Google Cloud | ~18% |
| 6. Scaling with Google Cloud operations | ~10% |
Section 1: Digital transformation (~18%)
- Key terms: cloud, agentic AI, infrastructure, digital transformation, open source and open standards.
- Why businesses move to the cloud: scalability, cost, agility, security, global reach, data insights, and the risks of not moving.
- Google Cloud's differentiators: AI, openness, AI Hypercomputer, an AI-ready data platform, security and its global network.
- Private, hybrid and multicloud; IP addresses, DNS, latency and bandwidth; regions, zones and edge locations; IaaS vs PaaS vs SaaS.
Section 2: Data transformation (~18%)
- Why data matters; databases vs data warehouses vs data lakes; first-, second- and third-party data; structured, semi-structured and unstructured data; the data supply chain and governance.
- Which product fits: Cloud Storage, Spanner, Cloud SQL, AlloyDB, Bigtable, BigQuery and Firestore.
- Cloud Storage classes: Standard, Nearline, Coldline, Archive and Autoclass.
- Looker for BI; streaming analytics with Pub/Sub, Dataflow and Managed Service for Apache Spark.
| Business need | Product |
|---|---|
| Store photos, backups and files | Cloud Storage |
| Run a standard MySQL or PostgreSQL app database | Cloud SQL |
| Global transactions with strong consistency | Spanner |
| Analyse terabytes with SQL | BigQuery |
| Huge volumes of time-series or IoT data | Bigtable |
| Mobile and web app data that syncs in real time | Firestore |
| Dashboards and reports for business users | Looker |
Section 3: AI innovation (~18%)
- AI, ML, generative AI, data analytics and BI; how agentic AI is changing work; why data quality matters (completeness, uniqueness, timeliness, validity, accuracy, consistency); explainable and responsible AI.
- Choosing AI solutions by speed, effort, differentiation, skills and flexibility.
- Gemini Enterprise Agent Platform; pre-trained APIs (Vision, Translation, Speech-to-Text) and Gemini models; custom models with Agent Studio and AutoML; AI Hypercomputer (GPUs, TPUs); BigQuery ML for ML with SQL.
See GCP for AI engineers for the technical side.
Section 4: Infrastructure and application modernisation (~18%)
- Migration terms: discovery and assessment, retire, retain, rehost (lift and shift), replatform (move and improve), refactor and reimagine.
- Compute terms: VMs, containers, microservices, serverless, Spot VMs, Kubernetes, autoscaling and load balancing.
- Business value of Compute Engine, GKE, Cloud Run and Cloud Run functions; hybrid and multicloud products (AlloyDB Omni, BigQuery Omni, GKE Enterprise, Looker).
- APIs, public API monetisation and Apigee.
Section 5: Trust and security (~18%)
- Threats: DDoS, ransomware, cryptomining, malware, phishing, misconfiguration, third-party risk and LLM attacks.
- Cloud vs on-premises security; confidentiality, integrity and availability; least privilege, zero trust and security by default; encryption at rest, in transit and in use; authentication vs authorisation vs auditing.
- Google's offerings: Google Threat Intelligence (with Mandiant and VirusTotal), Security Command Center, Google Security Operations, Gemini in Security Operations, AI Protection, Model Armor, Cloud Armor, IAM, Identity-Aware Proxy, Sensitive Data Protection and Confidential Computing.
- How Google earns trust: transparency reports, third-party audits, digital sovereignty and data residency.
Section 6: Scaling with operations (~10%)
- CapEx to OpEx and total cost of ownership; cloud financial governance; budgets, quotas and billing reports; Spot VMs and Dynamic Workload Scheduler.
- Resource hierarchy: organisation, folders, projects and resources.
- Observability (Monitoring, Logging, Trace, Profiler, Error Reporting); reliability and high availability; DevOps and SRE terms such as SLIs, SLOs and SLAs.
3-week study plan (1–2 hours a day)
| Days | Focus |
|---|---|
| 1–3 | Cloud basics, service models, regions and zones (Section 1) |
| 4–7 | Data products, storage classes, Looker and streaming (Section 2) |
| 8–11 | AI, ML, generative and agentic AI on Google Cloud (Section 3) |
| 12–14 | Migration terms, compute options, APIs (Section 4) |
| 15–18 | Security concepts and products, cost control and operations (Sections 5–6) |
| 19–21 | Google's sample questions, revise weak areas, book the exam |
The free Cloud Digital Leader learning path on Google Cloud Skills Boost covers every section.
20 practice questions with answers
These are original practice questions written for this guide, not exam questions.
1. A company pays for servers upfront and wants to pay only for what it uses. Which shift is this?
Capital expenditure (CapEx) to operational expenditure (OpEx).
2. Gmail is an example of which service model?
Software as a Service (SaaS).
3. A team wants to deploy code without managing servers or Kubernetes. Which product?
Cloud Run.
4. What is a zone in Google Cloud?
A deployment area inside a region; a region contains multiple zones.
5. Old audit files are accessed less than once a year. Which storage class is cheapest?
Archive.
6. You don't know how often files will be accessed and want costs optimised automatically. What do you enable?
Autoclass.
7. Business users need self-service dashboards on BigQuery data. Which product?
Looker.
8. Moving an application to the cloud without changing its code is called what?
Rehost (lift and shift).
9. A retailer wants to translate product descriptions into Telugu and Hindi with no ML expertise. What should they use?
A pre-trained API: Cloud Translation API.
10. Analysts want to build ML models using only SQL. Which product?
BigQuery ML.
11. AI that can plan and take multi-step actions with tools is called what?
Agentic AI.
12. Why does data quality matter for AI?
Models learn from the data; incomplete, inaccurate or inconsistent data produces unreliable results.
13. A website is flooded with traffic to take it offline. What threat is this, and which product helps?
A DDoS attack; Cloud Armor helps protect against it.
14. Users should get only the permissions they need for their job. What principle is this?
Least privilege.
15. Which product gives a central view of misconfigurations and vulnerabilities across Google Cloud?
Security Command Center.
16. What is the order of Google Cloud's resource hierarchy from top to bottom?
Organization, folders, projects, resources.
17. Finance wants an alert when monthly spend reaches 80% of plan. What do you set up?
A budget with threshold alerts in Cloud Billing.
18. What is an SLO?
A service level objective: a target for a reliability measure (SLI), such as 99.9% of requests succeeding.
19. A company wants to sell access to its data through APIs to partners. Which product helps manage this?
Apigee API Management.
20. A business needs to run batch workloads as cheaply as possible and can tolerate interruptions. What do you suggest?
Spot VMs.
After Cloud Digital Leader
- Go technical with the Associate Cloud Engineer, then the Professional Cloud Architect or Professional Data Engineer.
- Read which cloud to learn first.
- See live jobs for freshers.
Cloud Soft Solutions in Ameerpet, Hyderabad teaches Google Cloud, AWS and Azure for freshers and working professionals. See all courses and the APEX program.
📞 Call +91 96660 19191 · WhatsApp · Flat No. 513, 5th Floor, Nilagiri Block, Aditya Enclave, Ameerpet, Hyderabad
Frequently Asked Questions
How long is the Cloud Digital Leader exam?
90 minutes, with 50 to 60 multiple-choice questions.
How much does the Cloud Digital Leader exam cost?
USD 99, plus tax where applicable.
Do I need coding or IT experience for Cloud Digital Leader?
No. There are no prerequisites and no coding; Google recommends experience working with technical professionals.
How long is the certification valid?
3 years. You can renew with a 45-minute, 20-question renewal exam (USD 60) from 180 days before expiry.
Which languages is the exam offered in?
English, Japanese, Spanish, Portuguese and French.
What should I take after Cloud Digital Leader?
The Associate Cloud Engineer for a technical path, then a professional certification such as Cloud Architect or Data Engineer.
