ITS-DA Pass Rate 2026: What the Data Shows

Why No Official Pass Rate Exists

Search for the pass rate of the IT Specialist - Data Analytics exam and you will find confident-sounding numbers on forums, social posts, and thin third-party pages. None of them trace back to the issuer. The exam is issued by Pearson and administered through Certiport, a Pearson VUE business, and Certiport's scoring policy page states that it does not publish pass rates. That is the foundational fact for this entire topic: there is no verifiable pass-rate figure for this exam, and this article will not invent one.

That might sound like a dead end for a piece titled "what the data shows," but it is not. The data that does exist, including the scoring scale, the format, the objective domains, the fee structure, and the validity rules, tells a candidate far more about their real odds than a single recycled percentage ever could. A pass rate averages together people who prepared for 150 hours and people who booked the exam on a whim. Your personal likelihood of passing depends on which group you resemble.

What the Published Data Does Show

Instead of a pass rate, the issuer publishes the structural facts that shape every candidate's outcome. Here is what is documented for the IT Specialist - Data Analytics exam:

Notice what is absent: no official domain percentage weights and no published numbered exam revision. The objectives document lists five domains, and the issuer does not tell you how many questions come from each. That absence matters for how you prepare, which we cover below.

Reading the 700 Scaled Score Correctly

The single most misunderstood number around this exam is the passing score. Candidates see "700 out of 1000" and conclude they need 70% of questions correct. That is not how scaled scoring works. A scaled score converts performance into a common reporting range so that candidates who receive different question sets are held to the same standard. Because this exam draws an estimated 35-45 questions rather than a fixed count, two candidates can sit forms of different length, and scaling is what keeps the results comparable.

The practical consequence: you cannot compute a "raw percent needed" and aim for it. You should aim for comfortable mastery across all five domains rather than gaming a threshold. For the full explanation, read ITS-DA Passing Score 2026: Exactly What You Need to Pass.

Format, Timing, and Pressure Points

The exam is a computer-based, proctored knowledge assessment. You can take it at a Pearson VUE test center, remotely through OnVUE, or through the separate Certiport Authorized Testing Center (CATC) channel. OnVUE requires a system check and a live webcam proctor, so a test-day technology surprise is a real risk worth eliminating in advance.

Timing is the pressure variable. The 50-minute limit covers timed exam time only, excluding administration and tutorials. With an estimated 35-45 questions, you are working at a little over a minute per item on average, and the answer-option navigation described in the issuer's exam tutorial rewards candidates who are already fluent with the interface. If your question set trends toward the higher end of the range, pacing matters more.

This is where Data Analytics candidates differ from candidates in many other fields. The questions test applied reading of data tasks: interpreting what a SQL query returns, recognizing what a chart is hiding, or deciding which analysis technique fits a problem. These take longer to parse than a pure vocabulary recall item. Practicing under a clock, not just reviewing notes, is the closest thing to a controllable pass-rate lever you have. Our ITS-DA practice tests are built to rehearse that pacing.

Where Candidates Likely Lose Points

Because no official weights are published, treat all five domains as live. The objectives are official exam objectives, not a preparation curriculum, so the exam can probe any listed topic. Below is a domain-by-domain view of what the scope actually demands, based on the published objectives. For a deeper walk-through, see ITS-DA Exam Domains 2026: Complete Guide to All 5 Content Areas.

Two patterns stand out. First, the tooling is deliberately broad: SQL, R, Python, and Excel/Power Query all appear, so a candidate who is strong in only one tool has gaps. Second, Domains 4 and 5 are the ones people most often treat as "soft" and under-study, even though misleading-chart recognition and small-sample anonymity are concrete, testable concepts with right and wrong answers.

Fee, Voucher, and Retake Mechanics

Cost shapes pass-rate behavior more than people admit: a candidate paying for a single attempt prepares differently from one who expects a free second try. Here is what is documented.

• Standard exam-only voucher: Pearson MindhubPro displays USD 127 web/member pricing. The voucher is country-restricted, unavailable in some listed markets, and expires 12 months after purchase. Voucher expiry is separate from credential validity.
• Alternative with retake: A USD 133 voucher that includes a retake is sold through Certiport's store. It is US-only, proctoring may cost extra, and it is not usable at Pearson VUE centers or through OnVUE. It applies to the separate CATC channel.

The retake-inclusive option is a hedge, but only if you can test through a CATC. Candidates must plan the delivery channel before buying, since the vouchers are not interchangeable. CATC conditions include photo and signature ID, a nondisclosure agreement, parental consent for candidates under 18, and no personal paper or communication devices in the testing room. Full pricing is broken down in ITS-DA Certification Cost 2026: Complete Pricing Breakdown, and scheduling considerations are in ITS-DA Exam Dates 2026: Testing Windows, Deadlines & Scheduling.

Readiness Signals That Beat a Pass-Rate Statistic

There is no degree requirement beyond knowledge of the objective domains, so eligibility is open. What separates a ready candidate from a hopeful one is concrete capability. The program suggests approximately 150 hours of preparation, and objective profiles describe at least that. These are readiness profiles, not a verified logged-hours application requirement, so nobody checks your hours, but the figure is a useful benchmark for scale.

Use this checklist instead of chasing a statistic. You are likely ready when you can:

1. Read a SQL query and predict its output without running it.
2. Explain, in plain language, when principal component, cluster, or association analysis is the appropriate choice.
3. Look at a chart and name what makes it misleading.
4. Describe why a small sample can compromise anonymity and why results may not generalize.
5. Move between Excel/Power Query, R, and Python conceptually, even if you favor one.
6. Finish full-length timed practice within the 50-minute window with time to spare.

Mapping your prep time against the published requirements is covered in ITS-DA Requirements 2026: Eligibility, Prerequisites & How to Qualify.

Sequencing Your Prep Around the Five Domains

If you adopt the roughly 150-hour benchmark, a domain-driven order works better than studying in the listed sequence alone. This is the one place for a schedule, tied to the specific content. Adjust the pacing to your own hours per week.

The reasoning: analysis and visualization questions are interpretive, so they depend on foundations laid earlier, and the final week should be dedicated to pacing because time pressure is the main structural risk. A fuller approach is laid out in ITS-DA Study Guide 2026: How to Pass on Your First Attempt, and a condensed review sheet is available in the ITS-DA Cheat Sheet 2026: One-Page Review of Must-Know Facts.

Who Benefits From the Credential

Because the exam spans SQL, R, Python, Excel/Power Query, and core analysis and visualization concepts, it fits entry-level and career-transition candidates who want a verifiable baseline in data work: students, early-career analysts, and professionals moving from spreadsheet-heavy roles toward scripted analysis. It also signals awareness of responsible analytics, which matters to employers handling sensitive data. The credential is a knowledge assessment, so it demonstrates foundational competence rather than years of experience.

Remember the validity rule: awards earned on or after 2025-06-18 last five years, while earlier awards remain nonexpiring. Recertification requires a new voucher and passing the current exam. To weigh the return, see Is the ITS-DA Certification Worth It? Complete ROI Analysis 2026 and ITS-DA Salary Guide 2026: Complete Earnings Analysis.

The honest summary of "what the data shows" is this: the exam's pass rate is unpublished, but its structure is transparent. Candidates who prepare broadly across all five domains, practice against the clock, and verify their study material matches current scope are in the strongest position. When you are ready to test yourself, start with the practice exam environment and track which domains cost you the most points.

Frequently Asked Questions