Updated: Jul 31, 2026
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| Certification Vendor: | ASQ (American Society for Quality) |
| Exam Name: | Certified Reliability Engineer (CRE) Examination |
| Exam Number: | CRE |
| Real Exam Qty: | 150 (scored) / 165 (total including 15 unscored) |
| Exam Duration: | 258 (exam time) / 270 (total appointment) |
| Available Languages: | English, Korean, Mandarin |
| Certificate Validity Period: | 3 years |
| Passing Score: | 550/750 (scaled score) |
| Exam Price: | USD 450 (ASQ Member) / USD 550 (Non-Member) / USD 350 (Retake) |
| Exam Format: | Multiple-choice questions, Open-book exam |
| Related Certifications: | ASQ CQE, CQA, CSQE, CQM/OE |
| Recommended Training: | ASQ CRE Official Handbook ASQ CRE Question Bank ASQ CRE Body of Knowledge |
| Exam Registration: | ASQ Official Application & Registration Prometric Scheduling |
| Sample Questions: | ASQ CRE Sample Questions |
| Exam Way: | Computer-based testing (Prometric/Pearson VUE centers), Paper-and-pencil, Remote proctored; all open-book |
| Pre Condition: | Minimum 8 years full-time paid experience in reliability-related areas, with at least 3 years in a decision-making role; education waivers: Bachelor's (-4 years), Master's/Doctorate (-5 years), Associate (-2 years), Technical Diploma (-1 year) |
| Official Syllabus URL: | https://asq.org/cert/reliability-engineer |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Maintainability and Availability | 5% | - Maintenance Strategies - Maintainability Concepts - Availability Modeling |
| Topic 2: Probability and Statistics for Reliability | 23% | - Statistical Distributions - Basic Probability Theory - Statistical Inference and Estimation - Data Collection and Analysis |
| Topic 3: Reliability Modeling and Prediction | 15% | - Component and Part Reliability - Software Reliability - System Reliability Models - Maintainability and Availability |
| Topic 4: Reliability Fundamentals | 15% | - Ethics and Compliance - Leadership and Strategic Management - Life-cycle Reliability Concepts - Reliability Program Planning and Integration |
| Topic 5: Reliability Testing | 15% | - Field Data Analysis - Test Planning and Strategy - Reliability Demonstration Testing - Accelerated Life Testing |
| Topic 6: Reliability in Design and Development | 17% | - Fault Tree Analysis (FTA) - Design for Reliability - Reliability Prediction and Allocation - Failure Mode and Effects Analysis (FMEA) |
| Topic 7: Failure Analysis and Corrective Action | 10% | - Root Cause Analysis - Failure Analysis Methods - Corrective and Preventive Action - FRACAS Implementation |
1. According to the definition of reliability, performance, over the expected or intended life, is one criterion. In order to obtain a measurement for reliability, the actual life (t) must be compared to which of the following?
Response:
A) Test cycles.
B) Probability of failures.
C) MTBF
D) Required life
2. A fault tree analysis (FTA) is a design analysis technique constructed from a "top event". A basic problem with this technique in comparison to a FMECA would be which of the following?
Response:
A) Assigning probabilities to the various events.
B) Only electronic systems can be analyzed.
C) Understanding logical symbols.
D) Needing a different FTA for each defined top event.
3. refer to a situation in which satellites in synchronous orbits around Earth are hit by meteors large enough to cause failure once every five years on average.
What is the probability that one of these satellites will be damaged by meteors and fail during its first year in orbit ?
Response:
A) 0.20
B) 0.80
C) 0.18
D) 0.82
4. Laboratory tests of a new polymer prototype yielded the following proportions of a critical compound:
4.2 ppm, 4.1 ppm, 4.7 ppm, 4.9 ppm, 5.3 ppm
What is the sample standard deviation?
Response:
A) 0.464
B) 0.498
C) 0.445
D) 0.475
5. The prediction technique has obviously not always been effective quantitatively. There is often a wide difference between actual reliability and predicted reliability. Nevertheless, the reliability prediction technique permits:
Response:
A) Spotlighting what has gone wrong with the program.
B) Separating out "the vital few" from the "trivial many".
C) Estimating how good the product really is.
D) Indicating which department is to blame.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: D | Question # 3 Answer: C | Question # 4 Answer: B | Question # 5 Answer: B |
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