Azure

Azure AZ-900 vs AWS Cloud Practitioner vs GCP Cloud Digital Leader: Complete Comparison & How to Choose

2026-05-24
NicheeLab Editorial Team

When choosing your first cloud certification, the question that always comes up is "AWS, Azure, or GCP — which one do I start with?" All three offer an entry-level credential — AWS Cloud Practitioner (CLF-C02), Microsoft Azure Fundamentals (AZ-900), and Google Cloud Digital Leader (CDL) — and they share the same basic spec: about 90 minutes, around $99-100, and concept-focused content. This article compares all three across seven dimensions so you can confidently match your work environment, career goals, and target market to the right first exam.

Beyond that, we cover the real-world value of a 'multi-cloud strategy' (taking all three), comparison of paths up to the Associate tier, and how the Japanese market is moving as of 2026. Cloud certifications are one of the highest-ROI career investments out there, and getting that first choice right meaningfully shapes the next 5-10 years of your career.

Basic Spec Comparison

ItemAWS CLF-C02Azure AZ-900GCP CDL
Official NameAWS Certified Cloud PractitionerMicrosoft Certified: Azure FundamentalsCloud Digital Leader
Duration90 min45 min90 min
Questions6540-6050-60
Passing Score700 / 1000700 / 1000Undisclosed (~70%)
Fee$100 USD$99 USD$99 USD
Validity3 yearsLifetime3 years
Japanese AvailableYesYesYes
Delivery PlatformPearson VUE / PSIPearson VUEPearson VUE (migration completed 2026-02)

The biggest spec-level difference is validity period. Only AZ-900 lasts forever — pass it once and you're done. AWS CLF and GCP CDL expire after 3 years and require a paid re-exam to renew (there's no equivalent to Microsoft's free renewal assessment). On total cost of ownership, Azure is the cheapest; AWS and GCP demand another $99-100 every three years.

Differences in Exam Scope

All three are 'cloud fundamentals' exams, but their emphasis differs.

AWS CLF-C02: Cloud Concepts 24% + Security & Compliance 30% + Cloud Technology 34% + Billing & Support 12%. It tests conceptual breadth on core AWS services (EC2, S3, RDS, Lambda, VPC, IAM, and so on). The defining feature is AWS-specific frameworks — the 6 pillars of the Well-Architected Framework, the Shared Responsibility Model, and how to use AWS Pricing Calculator — which show up frequently.

Azure AZ-900: Cloud Concepts 25-30% + Azure Architecture & Services 35-40% + Management & Governance 30-35%. The middle domain carries the most weight. You'll need a structural grasp of Azure's hierarchy (Management Group → Subscription → Resource Group → Resource), the three-tier availability story (Region pair, Availability Zone, Availability Set), and the boundary between Entra ID and Azure RBAC.

GCP CDL: Digital transformation 10% + Data transformation 30% + AI and ML 28% + Infrastructure and application modernization 32%. Compared to the other two, data and AI carry much more weight, with GCP's flagship services — BigQuery, Vertex AI, and Gemini — at the center. The positioning is unmistakably Google: data-driven business transformation.

Difficulty Comparison

Overall difficulty is similar, but the subtle differences that emerge from candidate write-ups are as follows.

AWS CLF: With 65 questions in 90 minutes, you get the most questions, but at about 1.4 minutes per question, time pressure is low. There's a fair amount of service memorization, but clear frameworks like Well-Architected make it easy to organize the material.
Perceived difficulty: ★★☆☆☆

Azure AZ-900: At 45 minutes for 40-60 questions, this is the shortest exam — under a minute per question. Time pressure is moderate. The classic trap is mixing up the hierarchy (MG → Sub → RG → Resource) with the Region pair / AZ / Availability Set story.
Perceived difficulty: ★★☆☆☆

GCP CDL: 90 minutes for 50-60 questions gives you plenty of time. The service count is smaller than the others, but the exam asks 'which service would you pick?' in business-scenario form, so rote concept memorization alone won't carry you.
Perceived difficulty: ★★★☆☆

Average study time among Japanese candidates is 30-50 hours for AWS CLF, 25-40 hours for AZ-900, and 20-40 hours for GCP CDL. For complete beginners, the effort required to reach a passing level is roughly the same across all three.

Recognition in the Japanese Market

As of May 2026 on Indeed Japan, job postings by certification look like this:

CloudPostings in JapanStrongholds
AWS~8,000SI firms / web services / finance / large enterprises overall
Azure~3,500SIers / Microsoft partners / manufacturing / public sector
Google Cloud~2,000Large web companies / startups / media

AWS leads on raw hiring breadth, and in the SI industry it's increasingly a de facto required skill. Azure is strong at large enterprises, SIers, and Microsoft partner companies, and it pairs naturally with the internal IT teams at Microsoft 365 shops. GCP is centered on large web companies and startups — Mercari, CyberAgent, SmartHR, LayerX, LINE — and is clearly rated higher than the other clouds in data and ML roles.

Learning Resource Quality and Volume

All three exams are passable on official resources alone, but the right choice depends on your learning-style preferences.

AWS CLF: AWS Skill Builder — free courses, a paid $29/month subscription, plus AWS Cloud Quest for gamified learning. Community resources (Japanese write-ups on Qiita / Zenn) are by far the largest of the three clouds. Third-party material like Stephane Maarek's Udemy course is also abundant.

Azure AZ-900: Microsoft Learn offers fully Japanese-translated free learning paths, with free hands-on labs as well. Microsoft Virtual Training Day — completing one of these sessions earns a free exam voucher, a unique perk and the standout advantage here. The ability to earn the cert at effectively zero cost is Azure's biggest draw.

GCP CDL: Google Cloud Skills Boost has a free Learning Path, plus a $29/month subscription that bundles hands-on labs and an exam voucher. Community resources don't match AWS's volume, but the official content is highly polished. The Qwiklabs series for real environment practice is another strong point.

Career Strategy in the Multi-Cloud Era

2024-2026 has been the era when corporate multi-cloud adoption went mainstream, and engineers who work in only one cloud are increasingly the minority. There are three career strategies that make sense in this environment.

1) Single-cloud depth: stack vertically in one cloud — Fundamentals → Associate → Professional/Expert. For example: AWS CLF → SAA → SAP. You get deep expertise and strong evaluations for specialist roles on that cloud. Typical examples include AWS-only engineers at SI companies and AZ-305 holders at Azure-focused SIers.

2) Multi-cloud breadth: collect Fundamentals on all three clouds plus one Associate for cross-cloud perspective. For example: AWS CLF + AZ-900 + GCP CDL + AWS SAA. This is a differentiator for senior roles at consulting firms and SI companies, CTO-track positions, and cloud architect roles. If you're aiming at consulting-track jobs paying 10M yen and above, this is the playbook.

3) Hybrid: an Associate on your primary cloud plus a Fundamentals on a secondary one. For example: AWS SAA + AZ-900. This is the most realistic option for internal IT engineers at non-tech companies and for active job seekers. You prove depth on your main cloud and 'I can use it' on the secondary, a combination the job market accepts broadly.

Where to Go After All Three Exams

Here are the Associate-tier next steps after completing all three Fundamentals exams.

RoleAWSAzureGCP
ArchitectSAA-C03AZ-305PCA
Infrastructure AdminSOA-C02AZ-104ACE
DeveloperDVA-C02AZ-204 (retired)PCD
Data EngineerDEA-C01DP-203 / DP-700PDE
Machine LearningMLA-C01AI-103PMLE (new version 2026-06)
SecuritySCS-C02SC-200 / SC-300 / SC-500PCSE

Associate-tier difficulty and study time are roughly equivalent across the three clouds. The standard pattern: once you've earned one Associate, the next-cloud Associate typically takes 2-4 months. If you're going multi-cloud, the most efficient sequence is AWS SAA first, then Azure AZ-104, then GCP ACE.

Frequently Asked Questions

Of AZ-900, AWS CLF, and GCP CDL, which one should I take first?

The first rule is to pick the cloud your company or target employer uses. AWS dominates Japan's hiring market by a wide margin, so AWS CLF is the most versatile starting point if you are job-hunting. If your workplace is all-in on Microsoft 365, AZ-900 makes sense; if you're aiming at large web companies or startups, GCP CDL is the natural choice. All three exams share the same basic spec — about 90 minutes, $99-100, and concept-focused — and passing one clearly accelerates learning the other two.

Is it worth taking all three exams?

For aspiring cloud architects and consultants, yes — clearly. People who can speak credibly to multi-cloud strategy are rare, and at consulting firms or large SI companies, holding AWS + Azure + GCP certifications is effectively a selection criterion for senior roles. On the other hand, engineers who want depth get better ROI by picking one cloud and moving up to Associate / Professional. The three exams together cost about $300, which is actually cheaper than a single Associate-level exam.

How do the three exams compare in difficulty?

Difficulty is roughly equivalent. Industry consensus is that AWS CLF and AZ-900 are about the same, while GCP CDL is slightly harder. GCP CDL weights its scoring heavily toward middle domains (data, analytics, AI) and tends to demand more service-level memorization than the AWS or Azure exams. All three are Fundamentals-tier, though, and even IT beginners can pass with 20-40 hours of study. After your first cloud, prep time for the other two drops by more than half.

What are the differences in exam fees and payment?

AWS Cloud Practitioner (CLF-C02) is $100, Azure Fundamentals (AZ-900) is $99, and Google Cloud Digital Leader (CDL) is $99. All are priced in USD, which works out to roughly 13,000-15,000 yen depending on exchange rates. AZ-900 and GCP CDL are delivered through Pearson VUE only, while AWS CLF can be taken via Pearson VUE or PSI. AWS includes a Practice Exam with its $29/month Skill Builder subscription, Azure offers a free voucher after completing a Microsoft Virtual Training Day, and GCP's Cloud Skills Boost ($29/month) bundles labs and a voucher.

Which exam has the best learning resources?

Azure wins on the volume and quality of official content. Microsoft Learn's free learning paths are fully translated into Japanese, and hands-on labs are free as well. AWS pairs free Skills Builder courses with a $29/month subscription, and its community resources — Qiita/Zenn write-ups in Japanese, for example — are far and away the largest. GCP centralizes everything around the Cloud Skills Boost subscription, which mixes free Quests with paid Labs. All three are passable using only official content, so the self-study cost is essentially zero across the board.

How does recognition differ in the Japanese market?

On Indeed Japan as of May 2026, postings mentioning 'AWS certification' total about 8,000, 'Azure certification' about 3,500, and 'Google Cloud certification' about 2,000. AWS leads clearly on raw hiring breadth, Azure is highly regarded at large enterprises and SI firms, and GCP carries strong weight at large web companies and startups. On your resume, list the official English name and date — e.g., 'Passed AWS Certified Cloud Practitioner (CLF-C02), March 2026.'

How do the next-step Associate-tier exams compare?

On AWS, Solutions Architect Associate (SAA) is essentially required; on Azure, Administrator (AZ-104) is the core exam; on GCP, Associate Cloud Engineer (ACE) is the standard pick. Difficulty and study time are roughly equivalent across SAA, AZ-104, and ACE. Exam fees are $150 for AWS, $165 for Azure, and $125 for GCP — slightly cheaper on GCP. At the Architect tier (AWS SAP / Azure AZ-305 / GCP PCA), every exam costs $200+ and serves as the gateway to senior roles in the 8-15 million yen salary band.

What's the right career strategy in the multi-cloud era?

There are three viable paths. 1) Single-cloud depth: stack one Architect Expert plus related Specialty certs. 2) Multi-cloud breadth: Fundamentals on all three clouds plus one Associate. 3) Hybrid: an Associate on your primary cloud plus a Fundamentals on a secondary one. Engineers who work in only one cloud day-to-day get the best ROI from option 1. Consultants and SI-firm engineers use option 2 as a differentiator. Internal IT engineers at non-tech companies usually find option 3 the most realistic.

Related Articles & Exam Info

Azure Fundamentals 5 試験完全比較|AZ-900 / DP-900 / SC-900 / MS-900 / AI-901 の違いと選び方

Microsoft Azure Fundamentals 階層 5 試験 (AZ-900 / DP-900 / SC-900 / MS-900 / AI-901) を完全比較。各試験の出題範囲、難易度、適性、推奨取得順、合計学習時間、Virtual Training Day での無料バウチャー活用法、Associate ティアへの展開ルートを日本語で網羅。

AZ-104 vs AZ-204 完全比較|Microsoft Azure Administrator vs Developer Associate の違いと選び方【2026 年版】

Microsoft Azure の 2 大 Associate 認定 AZ-104 (Administrator) と AZ-204 (Developer) を完全比較。対象ロール・出題範囲・難易度・学習時間・受験料・キャリアパスを表形式で整理。AZ-204 2026 年 7 月リタイア後の判断材料、両方取る価値、次の認定への進路まで日本語で網羅。

Azure Architect キャリアロードマップ|AZ-900 → AZ-305 → SC-100 シニアアーキテクトへの道【2026 年版】

Azure Solutions Architect になるための認定取得ロードマップ完全版。AZ-900 → AZ-104 → AZ-305 の王道ルート、AZ-400 / SC-100 / AZ-700 との二刀流 / 三刀流戦略、マルチクラウド対応 (AWS / GCP)、未経験から 7-12 ヶ月の学習プラン、年収レンジまで日本語で網羅。

Azure DevOps エンジニア キャリアロードマップ|AZ-104 → AZ-400 → SC-100 シニア DevOps への道【2026 年版】

Azure DevOps Engineer になるための認定取得ロードマップ完全版。AZ-900 → AZ-104 → AZ-400 の王道ルート、GitHub と Azure DevOps の両方を扱う AZ-400 の構成、Kubernetes 認定 (CKA / CKAD / CKS) との二刀流、IaC (Bicep / Terraform) 戦略、年収レンジまで日本語で網羅。

Exam information in this article is based on Microsoft Learn, the official AWS Certification page, and Google Cloud Certification. Microsoft and Azure are trademarks of Microsoft Corporation, Amazon and AWS are trademarks of Amazon.com, Inc., and Google and Google Cloud are trademarks of Google LLC. This article is not an official product of any cloud vendor and is not affiliated with or endorsed by any of them. Information reflects publicly available materials as of May 24, 2026. Always confirm the latest details on the official pages.

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NicheeLab Editorial Team

NicheeLab editorial team focused on data engineering and cloud certification learning. Content is structured around practical study needs and official exam domains.


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