AZ-104 pass rate: what Microsoft publishes and what to use instead
By the RoleMath Editorial Team · Last updated 2026-07-05. Every figure traces to a cited source; we sell none of the options discussed.
The honest AZ-104 pass-rate answer is not a percentage. Microsoft publishes useful Azure Administrator facts: the current study guide, the skills measured as of April 17, 2026, the Azure Administrator candidate profile, a 100-minute assessment duration on the credential page, domain weights, renewal context, price posture, and scaled-score rules. Microsoft does not publish a public AZ-104 candidate pass-rate percentage in the reviewed source text. That means a page giving you a single pass-rate number is skipping the most important evidence question: who measured it, over what candidate population, exam version, time window, and attempt type? For planning, use the official exam facts, Azure administration tasks, role evidence, employer-language samples, AI-aware workflow context, and a readiness plan that tests hands-on Azure operations.
Key takeaways
- Microsoft publishes AZ-104 official facts and a 700-or-greater scaled passing score, not a public candidate pass-rate percentage.
- A Microsoft scaled score is not the same thing as 70 percent correct and is not the same thing as the share of candidates who pass.
- The current AZ-104 evidence is strong enough for planning: skills measured as of April 17, 2026, Intermediate Azure Administrator positioning, 100-minute assessment duration, one 165 USD exam-fee row, and no AZ-900 prerequisite.
- The study map is identities/governance 20-25%, storage 15-20%, compute 20-25%, virtual networking 15-20%, and monitoring/maintenance 10-15%.
- Employer-language samples can guide labs and resume evidence, but they are not representative demand, market share, salary, placement, or certification ROI evidence.
- AI can accelerate Azure study and triage, but AI usage data is descriptive workflow context, not a forecast that a role will disappear or that AZ-104 will guarantee opportunity.
The short answer: Microsoft gives a score standard, not a pass rate
Do not plan AZ-104 from a pass-rate percentage unless the source shows a Microsoft-owned or otherwise transparent dataset with candidate population, denominator, exam version, attempt type, and date range. RoleMath does not have that evidence. The official evidence says something different: Microsoft publishes a scaled-score standard and detailed exam scope, not a public candidate pass-rate percentage.
That distinction is not semantic. A passing score is the bar a candidate must clear. A pass rate is the share of candidates who clear it. Microsoft Learn says technical exams use a 1 to 1000 score scale, 700 or greater passes, and the scaled score may not equal 70 percent. Turning that score standard into a candidate pass rate is a source error.
Official-source status
This AZ-104 page has stronger official-source footing than many pass-rate pages because the Microsoft Learn pages were live checked on 2026-07-05. The study guide lists skills measured as of April 17, 2026 and was last updated on 2026-03-19. The credential page lists Intermediate level, Azure product, Administrator role, 12-month renewal frequency, and a 100-minute assessment duration. The scoring page explains the 1 to 1000 scaled-score model and warns that a simple percent-correct interpretation will not help candidates gauge success.
The missing official fact is the one searchers often want most: a public AZ-104 candidate pass-rate percentage. RoleMath's ledger records that absence. This article should therefore answer the pass-rate keyword by showing the evidence boundary, not by inventing a number.
What Microsoft publishes for AZ-104
| AZ-104 fact | Current RoleMath treatment | Planning use |
|---|---|---|
| Credential | Microsoft Certified: Azure Administrator Associate | Confirms the role-based Azure administration credential. |
| Level/product/role | Intermediate, Azure, Administrator | Helps separate AZ-104 from AZ-900 fundamentals and expert architecture exams. |
| Exam identity | AZ-104 | Confirms the exam family for the credential. |
| Skills date | Skills measured as of April 17, 2026 | Prevents stale-outline study plans. |
| Assessment duration | 100 minutes on the credential page | Pacing context, not a pass-rate estimate. |
| Passing score | 700 or greater scaled score for Microsoft technical exams | A score standard, not the share of candidates who pass. |
| Cost | 165 USD exam-fee row from Microsoft pricing JSON | Budget context, not ROI. Confirm by country before purchase. |
| Eligibility | No prerequisite stated; AZ-900 is not required | Access context, not a readiness guarantee. |
This is enough to build a serious plan. It is not enough to publish an AZ-104 pass-rate percentage, salary claim, ROI claim, placement claim, or job guarantee.
Use the domain weights as the study map
The official study guide gives a better study map than any pass-rate rumor. Current AZ-104 domains are Manage Azure identities and governance at 20-25 percent, Implement and manage storage at 15-20 percent, Deploy and manage Azure compute resources at 20-25 percent, Implement and manage virtual networking at 15-20 percent, and Monitor and maintain Azure resources at 10-15 percent.
That map makes the exam operational. AZ-104 is not just Azure vocabulary. It asks whether you can work with identity and governance, storage, compute, virtual networking, monitoring, backup and recovery, templates or Bicep, PowerShell, Azure CLI, the Azure portal, and Microsoft Entra ID. If your study plan is mostly flashcards, the domain map is telling you to add labs.
Why AZ-104 pass-rate folklore is weak evidence
Unsupported pass-rate numbers usually fail before they reach the reader. A useful AZ-104 pass-rate source would say who collected the data, whether it covers first attempts or all attempts, whether retakes are included, whether the exam version is current, how many candidates are in the denominator, what geography is included, and what time period is measured.
Most public pass-rate claims do not supply that evidence. Some are training-provider anecdotes. Some are forum self-reports. Some confuse passing-score thresholds with pass rates. Some simply repeat another page's number. RoleMath is not quoting those percentages here because repeating weak numbers makes them look stronger.
What AZ-104 is actually trying to signal
AZ-104 is an Azure administration signal. Microsoft describes the candidate as having subject-matter expertise in implementing, managing, and monitoring an organization's Azure environment, including virtual networks, storage, compute, identity, security, and governance. Microsoft also describes Azure administrators as part of a larger cloud infrastructure team coordinating with networking, security, database, application development, and DevOps roles.
For a career changer, that means AZ-104 is usually not the first cloud word you learn. It fits better after basic cloud literacy, some operating-system and networking comfort, and enough Azure exposure to make the portal, PowerShell, CLI, ARM or Bicep, and Entra ID concrete. AZ-900 is not a prerequisite, but the absence of a prerequisite is not the same thing as beginner readiness.
Use role evidence instead of pass-rate folklore
The cleanest entry-adjacent bridge is Cloud Support Associate. RoleMath maps that role to Computer User Support Specialists, where O*NET task context includes overseeing computer systems, setting up equipment, reading technical manuals, conducting diagnostics, answering user questions, installing or repairing equipment, entering commands, and maintaining support records. AZ-104 can help when support work is moving into Azure identity, storage, virtual machines, and monitoring.
Cloud Engineer is a later infrastructure signal. RoleMath maps it to Computer Systems Engineers/Architects, where ONET task context includes understanding requirements, evaluating components, guiding secure implementations, operating systems, monitoring systems, and verifying stability, interoperability, security, or scalability. Network Administrator is also relevant because AZ-104 includes virtual networking; ONET describes network administration tasks such as maintaining networks, performing backups and recovery, diagnosing network problems, monitoring systems, and implementing security measures.
Those task families are more useful than a pass-rate number because they tell you what evidence to build: access control, storage configuration, VM deployment, virtual-network troubleshooting, monitoring queries, backup/restore practice, and clear documentation.
BLS context: useful, but not an AZ-104 outcome
The BLS data is occupation context, not certification-outcome evidence. RoleMath's current packets use May 2025 national OEWS data: Computer User Support Specialists at 717,190 employment and a 61,860 USD median annual wage; Computer Systems Engineers/Architects at 435,370 employment and a 116,580 USD median annual wage; and Network and Computer Systems Administrators at 314,340 employment and a 99,130 USD median annual wage.
The outlook data is also occupation-level. RoleMath's current packets show Computer User Support Specialists at -3.7 percent projected employment change for 2024-2034 with 40.8 thousand annual openings, Computer occupations, all other at 8.2 percent projected change with 31.3 thousand annual openings, and Network and Computer Systems Administrators at -4.2 percent projected change with 14.3 thousand annual openings.
None of that means AZ-104 pays those salaries, creates those openings, or predicts a personal outcome. It means the surrounding role families have measurable labor context and that the credential decision should be tied to a role target, not a rumor about exam pass rates.
Employer-language evidence: what the postings emphasize
RoleMath's employer-language pilot is a qualitative sample of public ATS postings, not a representative demand study. The current Cloud Engineer summary has 256 matched postings with recurring terms such as Kubernetes, AWS, Terraform, Python, Azure, GCP, Docker, Linux, incident response, problem solving, Ansible, cybersecurity, and troubleshooting. The Cloud Support Associate summary has 10 matched postings with Linux, troubleshooting, DNS, Kubernetes, Python, TCP/IP, Docker, AWS, Azure, Windows, GCP, Terraform, and Bash. The Network Administrator summary has 94 matched postings with BGP, Cisco, troubleshooting, OSPF, CCNP, network security, DNS, TCP/IP, Python, firewall, Azure, VPN, AWS, and Ansible.
Use this as vocabulary and lab direction. Do not treat it as market size, demand share, salary, placement, or ROI. The useful insight is that AZ-104 sits inside an employer-language cluster where Azure matters, but so do Linux, networking, DNS, TCP/IP, automation, troubleshooting, infrastructure as code, and incident response.
How AI changes AZ-104 study and Azure administration
AI changes the workflow around AZ-104 more than it changes the official score standard. It can explain a domain, generate a lab checklist, compare service options, draft PowerShell or CLI commands, turn Azure Monitor symptoms into investigation steps, or quiz you on governance and identity scenarios. It can also hallucinate command syntax, miss a security boundary, rely on outdated service behavior, or recommend an expensive or unsafe cloud change.
RoleMath's current AI usage seed cites Anthropic's 2026 Economic Index. For May 2026, Computer User Support Specialists show 34.38 percent augmentation-labeled and 65.62 percent automation-labeled Claude conversations. Computer Systems Engineers/Architects show 37.32 percent augmentation and 62.68 percent automation. Network and Computer Systems Administrators show 31.90 percent augmentation and 68.10 percent automation. This is descriptive usage data, not a job-loss forecast, not employer demand, and not evidence that AZ-104 is more or less valuable.
The practical takeaway is to use AI as a tutor, scenario generator, and checklist reviewer. Then verify in Microsoft Learn, Azure documentation, a sandbox subscription, or a controlled lab. For every AI-assisted lab, keep a short evidence trail: prompt, proposed command, official documentation checked, result observed, and what you changed.
A readiness plan that beats pass-rate guessing
Use a readiness plan that mirrors the official domains and real work. Step 1: read the AZ-104 study guide and copy the five domain weights into a checklist. Step 2: build a small Azure lab for identity, resource groups, RBAC, storage accounts, virtual machines, virtual networks, monitoring, and backup. Step 3: perform the same operation at least two ways where reasonable: portal plus PowerShell or Azure CLI. Step 4: write a troubleshooting note for each domain, including symptom, likely cause, command or portal check, fix, and rollback. Step 5: use AI to quiz you and generate scenarios, then verify every command and service behavior against Microsoft documentation. Step 6: compare your lab evidence against cloud support, cloud engineer, and network administrator employer language before scheduling.
That sequence gives you more control than a pass-rate number. It turns AZ-104 into an evidence-backed readiness decision instead of a bet on someone else's unsourced statistic.
Bottom line: AZ-104 is an Azure-operations decision, not a pass-rate bet
The bottom line is straightforward: Microsoft publishes AZ-104 exam scope and scaled-score rules, not a public candidate pass-rate percentage. Do not choose or avoid AZ-104 because a public page gives you an unsupported percentage.
Choose AZ-104 when the official scope matches the Azure administration evidence you are building: identity and governance, storage, compute, virtual networking, monitoring, PowerShell, Azure CLI, portal use, ARM or Bicep, and Entra ID. Do not treat it as a cloud job guarantee, salary claim, ROI claim, or substitute for hands-on practice. RoleMath keeps this page draft/noindex until human source review clears the claim framing and presentation for launch.
Frequently asked questions
Does Microsoft publish an AZ-104 pass rate?
RoleMath does not have a sourceable public Microsoft AZ-104 candidate pass-rate percentage. Microsoft publishes exam scope and scaled-score rules, not the share of candidates who pass.
Is the AZ-104 passing score the same thing as a pass rate?
No. A passing score is the score a candidate must reach. A pass rate is the share of candidates who pass. Microsoft also says technical exam scores are scaled from 1 to 1000 and may not equal a simple percent-correct score.
What AZ-104 facts are source-backed here?
The current sources support AZ-104, Intermediate Azure Administrator positioning, skills measured as of April 17, 2026, a 100-minute assessment duration, domain weights, a 700-or-greater scaled score standard, a 165 USD exam-fee row, and no stated AZ-900 prerequisite.
Is AZ-104 hard?
AZ-104 is operational and intermediate. The best evidence is the official scope: identity and governance, storage, compute, virtual networking, monitoring, PowerShell, Azure CLI, Azure portal, ARM or Bicep, and Entra ID. Difficulty depends on your hands-on Azure background, not a public pass-rate rumor.
Does AZ-104 guarantee a cloud job or salary?
No. BLS wage and outlook figures are occupation-level context for mapped role families, not AZ-104 salary, ROI, placement, or job-guarantee evidence.
How should I use AI while preparing for AZ-104?
Use AI to explain concepts, generate lab scenarios, quiz you, and review troubleshooting notes, but verify commands, security settings, pricing, IAM behavior, and service limits in Microsoft documentation or a controlled Azure lab.
Related, with the cited detail
- Azure Administrator eligibility
- AZ-104 eligibility
- Free AZ-104 study resources
- AZ-104 total cost
- Azure Fundamentals pass-rate evidence
- Are certification pass rates real?
- Cloud Support Associate role
- Cloud Engineer role
- Network Administrator role
- What employers ask for
- RoleMath planner
Sources
Figures in this article are cited to the sources named in the Citation Ledger below and on each linked cited page.
Citation Ledger
| ID | Supports | Evidence | Source |
|---|---|---|---|
| CIT-01 | Microsoft publishes AZ-104 skills, candidate profile, and a 700 passing-score reference, not a public candidate pass-rate percentage. | The AZ-104 study guide was live checked on 2026-07-05. It lists skills measured as of April 17, 2026, says a score of 700 or greater is required to pass via the scoring link, and does not publish a candidate pass-rate percentage in reviewed page text. | https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/az-104 |
| CIT-02 | Microsoft technical exam scores are scaled scores, so 700 does not mean a 70 percent pass rate. | Microsoft Learn says technical exam scores are reported on a 1 to 1000 scale, a passing score is 700 or greater, the scaled score may not equal 70 percent, some questions may be unscored, and there is no penalty for guessing. | https://learn.microsoft.com/en-us/credentials/certifications/exam-scoring-reports |
| CIT-03 | The Azure Administrator Associate credential page confirms level, product, role, renewal, last-updated date, target profile, and assessment duration. | The Microsoft Certified: Azure Administrator Associate page was live checked on 2026-07-05. It lists Intermediate level, Azure product, Administrator role, 12-month renewal frequency, last updated 04/17/2026, subject-matter expertise expectations, and a 100-minute assessment duration. | https://learn.microsoft.com/en-us/credentials/certifications/azure-administrator/ |
| CIT-04 | AZ-104 domain weights should drive study planning more than pass-rate folklore. | The current AZ-104 domain seed, sourced to the Microsoft Learn study guide, lists Manage Azure identities and governance 20-25%, Implement and manage storage 15-20%, Deploy and manage Azure compute resources 20-25%, Implement and manage virtual networking 15-20%, and Monitor and maintain Azure resources 10-15%. | https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/az-104 |
| CIT-05 | AZ-104 cost should be treated as cited exam-fee context, not ROI or salary evidence. | RoleMath's Microsoft exam-cost seed records AZ-104 at 165 USD from the official Microsoft Learn exam-pricing JSON, retrieved 2026-06-19. Confirm the vendor page before purchase because pricing can vary by country or region. | https://learn.microsoft.com/en-us/credentials/exam-pricing.json |
| CIT-06 | AZ-104 eligibility is open-registration with recommended expertise, not an AZ-900 prerequisite. | RoleMath's eligibility seed records no prerequisite stated on the official Azure Administrator page and explicitly notes that AZ-900 is not required. The official profile is subject-matter expertise with Azure administration tools and infrastructure topics. | https://learn.microsoft.com/en-us/credentials/certifications/azure-administrator/ |
| CIT-07 | Cloud-support context should be task based, not treated as a certification outcome. | O*NET's Computer User Support Specialists profile supports task context such as overseeing computer systems, setting up equipment, reading technical manuals, conducting diagnostics, answering user questions, installing or repairing equipment, entering commands, and maintaining support records. | https://www.onetonline.org/link/summary/15-1232.00 |
| CIT-08 | Cloud-engineer context should be treated as a later infrastructure signal, not as an AZ-104 job guarantee. | O*NET's Computer Systems Engineers/Architects profile supports task context around understanding system requirements, evaluating components, guiding secure implementations, operating systems, monitoring systems, and verifying architecture stability, interoperability, security, or scalability. | https://www.onetonline.org/link/summary/15-1299.08 |
| CIT-09 | Network-administrator context is relevant because AZ-104 includes virtual networking and troubleshooting, but it is still occupation context. | O*NET's Network and Computer Systems Administrators profile supports task context around maintaining networks, backups and recovery, diagnosing hardware/software/network problems, monitoring systems, network security, and network performance. | https://www.onetonline.org/link/summary/15-1244.00 |
| CIT-10 | RoleMath uses O*NET database downloads as the official task, skill, and technology source family for role evidence. | The O*NET database is the public dataset behind RoleMath's occupation task and tool extraction. RoleMath cites profile pages for reader verification and the database for bulk evidence. | https://www.onetcenter.org/database.html |
| CIT-11 | Occupation pay context for AZ-104 mapped roles must not be treated as a certification salary outcome. | RoleMath's current role packets use BLS OEWS May 2025 national context: Computer User Support Specialists with 717,190 employment and 61,860 USD median annual wage; Computer Systems Engineers/Architects with 435,370 employment and 116,580 USD median annual wage; and Network and Computer Systems Administrators with 314,340 employment and 99,130 USD median annual wage. | https://www.bls.gov/oes/special-requests/oesm25nat.zip |
| CIT-12 | Occupation outlook context is not live posting demand and not an AZ-104 outcome. | BLS Employment Projections in RoleMath's current packets show 2024-2034 projected employment change and annual openings for mapped occupation families: Computer User Support Specialists at -3.7% and 40.8 thousand annual openings; Computer occupations, all other at 8.2% and 31.3 thousand annual openings; and Network and Computer Systems Administrators at -4.2% and 14.3 thousand annual openings. | https://www.bls.gov/emp/ind-occ-matrix/occupation.xlsx |
| CIT-13 | Employer-language samples can show Azure-adjacent vocabulary without becoming representative demand evidence. | RoleMath's public ATS employer-language pilot is qualitative and not representative demand. Current summaries show Cloud Engineer with 256 matched postings, Cloud Support Associate with 10, and Network Administrator with 94; recurring terms include Azure, AWS, Linux, DNS, TCP/IP, Kubernetes, Terraform, troubleshooting, BGP, Cisco, OSPF, VPN, and Ansible. | https://developers.greenhouse.io/job-board; https://developers.ashbyhq.com/docs/public-job-posting-api; https://hire.lever.co/developer/documentation#postings; https://www.workday.com/ |
| CIT-14 | AI usage data for mapped Azure-adjacent work is descriptive workflow context, not a job-loss or demand forecast. | RoleMath's AI usage seed cites Anthropic's 2026 Economic Index. For May 2026, Computer User Support Specialists show 34.38% augmentation-labeled and 65.62% automation-labeled Claude conversations; Computer Systems Engineers/Architects show 37.32% augmentation and 62.68% automation; Network and Computer Systems Administrators show 31.90% augmentation and 68.10% automation. | https://www.anthropic.com/research/economic-index-june-2026-report |
| CIT-15 | The Anthropic Economic Index dataset requires attribution and does not prove employment demand. | The Anthropic Economic Index dataset is published on Hugging Face under CC-BY. RoleMath uses it as one AI-usage signal, not as proof of labor demand, job loss, personal fit, or certification value. | https://huggingface.co/datasets/Anthropic/EconomicIndex |
| CIT-16 | General AI-exposure research should be framed as task-overlap context, not a personal employment forecast. | Eloundou et al. estimate broad task exposure to large language model capabilities, but exposure is task overlap and not a direct prediction that a specific learner will lose or get a job. | https://www.science.org/doi/10.1126/science.adj0998 |