article · Certification difficulty & pass rates

CompTIA A+ Pass Rate: What Is Sourceable

CompTIA does not give RoleMath a sourceable A+ pass rate. Use official two-exam facts, support-role evidence, AI context, and readiness checks.

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Last updated 2026-07-21 — the article text's own revision date; dated evidence on this page carries its own check date. See the Citation Ledger at the foot for this page's sources.

The honest CompTIA A+ pass-rate answer is not a percentage. RoleMath does not have a sourceable official CompTIA candidate pass-rate percentage for A+. The official sources are current: we read the official CompTIA A+ page successfully on 2026-07-21, which confirms A+ identity, the two-exam structure (220-1201 and 220-1202), 90 minutes and up to 90 questions per exam, and passing scores of 675 for Core 1 and 700 for Core 2, each on a scale of 900 — and the reviewed official page publishes no candidate pass-rate percentage. That means the honest page reports verified exam facts, not a pass-rate guess. A+ is entry-friendly by eligibility, with no prerequisite and open registration, but the decision should be based on source-backed readiness evidence: two exam codes, two voucher costs, support-role tasks, sampled hiring language, and AI-aware troubleshooting practice.

Key takeaways

  • RoleMath does not have an official CompTIA A+ candidate pass-rate percentage; a live fetch of the official page succeeded on 2026-07-21, and the reviewed official page publishes no vendor pass rate.
  • The 2026-07-21 live verification restores the passing scores: Core 1 requires 675 and Core 2 requires 700, each on a scale of 900, as stated on the official page.
  • The source-backed planning facts are two exams, 220-1201 and 220-1202, up to 90 questions per exam, 90 minutes per exam, and 274 USD per voucher on the official page.
  • A+ is entry-friendly by eligibility: no prerequisite, open registration, and about 12 months of support experience recommended rather than required.
  • The postings in RoleMath's sample can guide practice, but they are not representative demand, market share, salary, placement, or certification ROI evidence.
  • AI can assist with support study drills, but AI usage data is not a job-loss forecast and every technical recommendation still needs verification.

More on CompTIA A+

The short answer: do not plan from an A+ pass-rate number

Do not plan A+ around a pass-rate percentage unless CompTIA publishes one with a clear denominator, candidate population, attempt type, exam version, and time window. It does not. We read CompTIA's official A+ page on 2026-07-21 and it states no candidate pass rate, so this page does not give you one.

That does not make A+ a weak credential. It means the decision should move from a fake certainty question to a better one: are you ready for the two-exam support baseline that A+ is meant to signal? The answer depends on your hardware, operating-system, networking, security, software-troubleshooting, and support-process practice.

The official source was live-verified on 2026-07-21

A+ is current, and we read CompTIA's official page on 2026-07-21. It confirms the V15 series (launched March 25, 2025), exam codes 220-1201 and 220-1202, 90 minutes and up to 90 questions per exam, and passing scores of 675 for Core 1 and 700 for Core 2, each on a scale of 900. The same page publishes no candidate pass-rate percentage, which is why there is no pass-rate figure below.

The exam identity, structure, and passing scores below were read from CompTIA's official page on 2026-07-21. The domain weights and the fee carry earlier check dates, shown with each figure. Exam details change, so confirm anything you are about to spend money on at the official page first.

What the current official vendor pages do support

A+ factWhat we verifiedPlanning use
Exam identity220-1201 and 220-1202, sourced to the official CompTIA A+ pageConfirms that A+ is a two-exam credential.
Structure90 minutes and up to 90 questions per exam; multiple-choice (single and multiple response), drag-and-drop, and performance-based questions (live-verified 2026-07-21)Practice pacing and breadth context, not a pass-rate estimate.
Passing scoresCore 1: 675 and Core 2: 700, each on a scale of 900 (live-verified 2026-07-21)Score-target context, not a pass-rate estimate.
Core 1 domainsMobile devices 13%, Networking 23%, Hardware 25%, Virtualization and cloud computing 11%, Hardware and network troubleshooting 28% (confirm on the official page)A Core 1 study coverage map.
Core 2 domainsOperating systems 28%, Security 28%, Software troubleshooting 23%, Operational procedures 21% (confirm on the official page)A Core 2 study coverage map.
Cost274 USD per exam, and A+ requires bothBudget context, not ROI. Confirm before purchase.
EligibilityNo prerequisite; open registrationEntry-friendly access context.
Recommended experienceAbout 12 months of hands-on IT support experienceReadiness signal, not a hard gate.

This is enough to create a useful plan. It is not enough to publish a pass-rate percentage, and it is not enough to make a salary, ROI, placement, or job-guarantee claim.

Why unsupported A+ pass-rate folklore is weak evidence

A+ requires two exams, so any pass-rate source has to identify whether it measures one core or the full two-exam credential before the number means anything. Public pages can present passing standards, first-attempt anecdotes, retake stories, classroom results, and training-provider marketing, and those are not the same thing as a CompTIA-published candidate pass rate.

A usable pass-rate source would identify the data owner, candidate population, exam version, time window, attempt type, and denominator. It would also say whether it counts each A+ core separately or the full two-exam credential. Without that, a single percentage can hide more than it reveals. RoleMath is not quoting unsupported A+ numbers here because repeating weak numbers makes them look stronger.

What A+ is actually trying to signal

A+ is a practical support baseline. It is not a job guarantee. The cited official sources map A+ to Computer User Support Specialists tasks (O*NET 15-1232.00), which are breadth-oriented support tasks rather than specialist-track tasks, and the current exam domains cover device, operating-system, networking, security, troubleshooting, and operational-procedure topics. Hands-on readiness across those areas still requires separate task evidence beyond passing the exams. A+ has no prerequisite and open registration. The recommended experience matters even without a formal prerequisite: about 12 months of hands-on IT support experience is a signal that the exam expects practical familiarity.

For a career changer, the strongest A+ use case is concrete: you want to prove that user support and device troubleshooting are no longer abstract. You can identify hardware, install or troubleshoot operating systems, explain basic networking, follow support procedures, document a ticket, and communicate with a user. That evidence is more useful than chasing a rumored pass-rate number.

Use role evidence instead of pass-rate folklore

RoleMath maps A+ to Help Desk Technician and IT Support Specialist work for the task comparison below. The ONET/BLS occupation context here is Computer User Support Specialists. ONET describes work around monitoring computer systems, setting up equipment, reading technical manuals, diagnosing problems, answering user questions, installing or repairing hardware, software, or peripherals, and maintaining support records.

Those tasks make a better readiness checklist than a pass-rate page. If your study plan does not include setting up a device, breaking and fixing an operating system, explaining DNS or VPN symptoms to a user, documenting a troubleshooting trail, and escalating clearly, then a passing percentage would not fix the real gap. Pairing the exam with that kind of support evidence is what makes A+ readable to an employer.

BLS context: useful, but not an A+ outcome

The BLS data is occupation context, not certification-outcome evidence. RoleMath's Help Desk Technician and IT Support Specialist samples use BLS OEWS May 2025 national context for Computer User Support Specialists: 717,190 employment and a 61,860 USD national median annual wage. The BLS Employment Projections context shows -3.7 percent projected employment change for 2024-2034 with 40.8 thousand annual openings.

That combination needs careful interpretation. A negative projected employment-change figure does not mean nobody hires support workers. Annual openings do not mean A+ creates access to those openings. The wage figure does not mean A+ pays 61,860 USD. It means the occupation family has measurable pay and outlook data, and the learner should connect the credential to actual support tasks, local employers, and adjacent routes such as networking, cloud support, and security operations.

What the postings in the sample emphasize

RoleMath's support employer-language summaries are qualitative samples, not representative demand. The postings in RoleMath's Help Desk sample surfaced recurring support vocabulary around operating-system support, ticketing and identity tooling, and network-troubleshooting concepts.

The postings in the IT Support Specialist sample surfaced a similar qualitative mix, leaning toward operating-system and cloud-adjacent support vocabulary alongside the same ticketing and network-troubleshooting themes. RoleMath editorial note: these are directional themes from a small pilot sample, not a measured term frequency; see the linked role pages for the full sampled context.

Use this as vocabulary, not demand. It does not prove market share, hiring volume, salary, placement, or ROI. It does show how to make A+ readable to an employer: practice operating-system support across environments, ticket notes, identity basics, network-connectivity troubleshooting, ticketing-tool documentation, and user communication.

How AI changes A+ study and support work

RoleMath's AI-usage context maps Help Desk Technician and IT Support Specialist to Computer User Support Specialists. Anthropic's May 2026 Economic Index dataset reports roughly 34 percent augmentation-style and roughly 66 percent automation-style Claude conversations for that shared SOC. Here, augmentation-style and automation-style are task classifications of Claude conversations in the source dataset, not job-automation forecasts. That is descriptive usage data. It does not say support roles are being replaced, that A+ is more or less valuable, or that a learner should expect a job outcome.

RoleMath editorial guidance, not a sourced outcome claim: you can lean on AI as a study aid for A+ material. Whatever an AI assistant suggests, treat every command, configuration, or security suggestion as unverified until you test it, because a general-purpose assistant does not know your device or your security policy.

The practical takeaway is simple: use AI as a study aid, then verify in a device, lab, ticketing workflow, or vendor documentation. Keep a note showing what AI suggested, what you tested, what worked, and what you rejected.

What to do next: a readiness plan

Use a plan that tests support readiness rather than a pass-rate rumor. Step 1: split the credential into Core 1 and Core 2, then map the domain weights to two separate study plans. Step 2: build a small lab with at least one Windows environment, one macOS or Linux comparison point if available, and a few common peripherals. Step 3: practice ticket-style troubleshooting: symptom, questions asked, likely causes, test performed, result, escalation decision. Step 4: write short notes for DNS, VPN, Wi-Fi, printer, login, malware, storage, backup, and update problems. Step 5: use AI to quiz you and critique your troubleshooting notes, but verify every command or policy claim. Step 6: compare your evidence against local help desk and IT support job language before scheduling.

That sequence gives you more control than a pass-rate percentage. It turns A+ into a readiness decision instead of a bet on a rumor.

Bottom line: A+ is a readiness decision, not a pass-rate bet

The bottom line is simple: do not choose or avoid A+ because a page gives you a comforting pass-rate number. RoleMath does not have a sourceable official CompTIA A+ candidate pass-rate percentage, and unsupported numbers are not a substitute for one.

Take A+ if you are targeting help desk or device-support work, hold no prior IT credential, and can pair the exam with hands-on troubleshooting practice near the recommended 12 months of support experience. Skip A+ if you already work past entry-level support, already hold Network+ or Security+, or are pursuing a credential aligned to a specific specialty rather than a broad support baseline. Confirm exam and cert-path details on the vendor's official page before you rely on them.

Frequently asked questions

Does CompTIA publish an A+ pass rate?

RoleMath does not have a sourceable official CompTIA A+ candidate pass-rate percentage. A live fetch of the reviewed official CompTIA page succeeded on 2026-07-21, and the reviewed official page publishes no candidate pass-rate percentage. Any specific figure elsewhere should be treated with caution.

Is the A+ 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. The passing scores are live-verified as of 2026-07-21: Core 1 requires 675 and Core 2 requires 700, each on a scale of 900; the reviewed official page still publishes no pass rate.

What A+ facts are source-backed here?

The live-verified facts (2026-07-21) are two exam codes, 220-1201 and 220-1202, 90-minute exam context, up to 90 questions per exam, passing scores of 675 (Core 1) and 700 (Core 2) on a scale of 900, and about 12 months of recommended IT support specialist experience. Separately sourced: objective-domain weights awaiting re-verification (confirm on the official page), a 274 USD per voucher row retrieved 2026-06-13, and open registration.

Is A+ enough for a help desk job?

No certification is enough by itself. A+ can support entry support readiness, but employers also need troubleshooting evidence, user communication, ticket documentation, operating-system comfort, and local-role fit.

Does A+ guarantee a salary or job?

No. BLS wages and outlook are occupation-level context for mapped roles, not A+ salary, ROI, placement, or job-guarantee evidence.

How should I use AI while preparing for A+?

As RoleMath editorial guidance rather than a sourced outcome claim: you can use AI as a study aid while preparing for A+, but verify commands, security advice, and device behavior in a lab or primary documentation. AI-usage data for the mapped support occupation is descriptive only and is not a job-loss forecast. Keep evidence of what you tested and rejected.

Related, with the cited detail

Evidence behind this article

RoleMath turns this article into a small decision report: official credential facts, occupation context, and AI workflow evidence.

Mapped roles: Help Desk Technician, IT Support Specialist, Technical Support Engineer

Pay by metro

Help Desk Technician maps to Computer User Support Specialists.
MetroMedian payCost-adjusted
Sacramento, CA$106,040$99,409
San Jose, CA$93,590$84,756
San Francisco, CA$89,440$77,362
IT Support Specialist maps to Computer User Support Specialists.
MetroMedian payCost-adjusted
Sacramento, CA$106,040$99,409
San Jose, CA$93,590$84,756
San Francisco, CA$89,440$77,362

Occupation-level metro medians only; not credential salary, personal pay, or a placement claim. OEWS 2025-05 + BEA RPP 2024. Sources: U.S. Bureau of Economic Analysis Regional Price Parities, U.S. Bureau of Labor Statistics May 2025 OEWS Current Tables

AI impact context

  • Help Desk Technician: roughly 34% of recorded usage looked like augmentation vs 66% automation-style (Anthropic Economic Index; usage signal, not a job-loss prediction). Descriptive Claude usage data, not employment demand, not job loss, and not a personal forecast; CC-BY attribution required.
  • IT Support Specialist: roughly 34% of recorded usage looked like augmentation vs 66% automation-style (Anthropic Economic Index; usage signal, not a job-loss prediction). Sampled AI-language terms include LLM, machine learning. Descriptive Claude usage data, not employment demand, not job loss, and not a personal forecast; CC-BY attribution required.
  • Technical Support Engineer: roughly 34% of recorded usage looked like augmentation vs 66% automation-style (Anthropic Economic Index; usage signal, not a job-loss prediction). Sampled AI-language terms include LLM, OpenAI, machine learning. Descriptive Claude usage data, not employment demand, not job loss, and not a personal forecast; CC-BY attribution required.

Sources: Anthropic Economic Index report: Cadences (release 2026-06-26), Canaries in the Coal Mine - recent employment effects of AI (working paper), Felten Raj and Seamans - AI Occupational Exposure (AIOE) index, GPTs are GPTs: An early look at the labor market impact potential of LLMs (Science 2024), OECD Employment Outlook 2023 - Artificial Intelligence and the Labour Market

What we verified about these certifications

Certifications referenced in this evidence packet: CompTIA A+.

  • Do not publish an A+ pass-rate percentage from this row. Use official seed facts only with source-limit caveats until same-day live official recheck succeeds.

No certification shown here is treated as salary, job, ROI, or pass-rate proof. Sources: CompTIA official credential page

Core source records

This table lists the page’s core content records and their checked dates where recorded. Claim-specific citations appear beside the relevant text and may not be repeated here.

Show all 14 sources
IDSupportsSourceChecked
CIT-01RoleMath does not have a sourceable official CompTIA A+ candidate pass-rate percentage.https://www.comptia.org/en-us/certifications/a/core-1-and-2-v15/2026-07-21
CIT-02A+ is a current CompTIA credential, and we re-read its official page successfully on 2026-07-21.https://www.comptia.org/en-us/certifications/a/core-1-and-2-v15/2026-07-21
CIT-03Current A+ facts include two exams, 220-1201 and 220-1202, with a 90-minute time limit, up to 90 questions per exam, and passing scores of 675 for Core 1 and 700 for Core 2, each on a scale of 900.https://www.comptia.org/en-us/certifications/a/core-1-and-2-v15/2026-07-21
CIT-04The A+ objective-domain weights below are official-source summaries awaiting re-verification.https://www.comptia.org/en-us/certifications/a/core-1-and-2-v15/2026-07-21
CIT-05A+ cost should be treated as cited exam-fee context, not an ROI or salary claim.https://www.comptia.org/en-us/certifications/a/core-1-and-2-v15/2026-07-21
CIT-06A+ eligibility is entry-friendly open registration with recommended support experience, not a hard prerequisite gate.https://www.comptia.org/en-us/certifications/a/core-1-and-2-v15/2026-07-21
CIT-07A+ planning should connect to support tasks, not only exam folklore.https://www.onetonline.org/link/summary/15-1232.00Date not recorded
CIT-08RoleMath uses O*NET database downloads as the official task, skill, and technology source family for role evidence.https://www.onetcenter.org/database.html2026-06-07
CIT-09Occupation pay context for A+ mapped roles must not be treated as an A+ salary outcome.https://www.bls.gov/oes/special-requests/oesm25nat.zip2026-07-21
CIT-10Occupation outlook context is not live posting demand and not a certification outcome.https://www.bls.gov/emp/ind-occ-matrix/occupation.xlsx2026-06-25
CIT-11Employer-language samples can show support vocabulary without becoming market-share or demand claims.https://developers.greenhouse.io/job-board; https://developers.ashbyhq.com/docs/public-job-posting-api; https://hire.lever.co/developer/documentation#postings; https://www.myworkda2026-06-07
CIT-12AI usage data for mapped support work is descriptive workflow context, not a job-loss or demand forecast.https://www.anthropic.com/research/economic-index-june-2026-report2026-06-30
CIT-13The Anthropic Economic Index dataset requires careful attribution and does not prove employment demand.https://huggingface.co/datasets/Anthropic/EconomicIndexDate not recorded
CIT-14General AI-exposure research should be framed as task-overlap context, not a personal employment forecast.https://www.science.org/doi/10.1126/science.adj09982026-06-19

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