Certified Quality Engineer Practice Test

CQE exam Format | Course Contents | Course Outline | exam Syllabus | exam Objectives

- Quality Philosophies and Foundations
- continuous improvement tools
- lean
- Six Sigma
- statistical process control (SPC)
- total quality management.Understand how modern quality has evolved from quality control through statistical process control (SPC) to total quality management and leadership principles.

- The Quality Management System (QMS)
- Strategic planning Identify and define top management’s responsibility for the QMS, including establishing policies, and objectives, setting organization-wide goals, and supporting quality initiatives.

- Deployment techniques Define, describe, and use various deployment tools in support of the QMS such as:
- Benchmarking (Define the concept of benchmarking and why it may be used.)
- Stakeholder (Define, describe, and use stakeholder identification and analysis.)
- Performance (Define, describe, and use performance measurement tools such as cost-benefit analysis.)
- Project management (Define, describe, and use project management tools, including Gantt charts and the responsible, accountable, consulted and informed matrix (RACI))

- Quality information system (QIS)
- Identify and describe the basic elements of a QIS, including who will contribute data, the kind of data to be managed, who will have access to the data, the level of flexibility for future information needs, and data analysis.

- ASQ Code of Ethics for Professional Conduct
- Determine appropriate behavior in situations requiring ethical decisions.
- Leadership Principles and Techniques
- Analyze various principles and techniques for developing and organizing teams and leading quality initiatives
- Facilitation Principles and Techniques
- Roles and responsibilities
- Describe the facilitator’s roles and responsibilities on a team.
- Facilitation tools
- Apply various tools used with teams, including brainstorming, nominal group technique, conflict resolution, and force-field analysis.

- Communication Skills
- Identify and distinguish between specific communication methods that are used for delivering information and messages in a variety of situations across all levels of the organization.
- Customer Relations
- Define, apply, and analyze the results of customer relation tools such as customer satisfaction surveys.
- provider Management
- Techniques
- Apply various provider management techniques, including provider qualification, certification, and evaluation.
- Improvement
- Analyze provider ratings and performance improvement results.
- Risk
- Understand business continuity, resiliency, and contingency planning.

- Barriers to Quality Improvement
- Identify barriers to quality improvement, analyze their causes and impact, and implement methods for improvement.
- The Quality System
- Elements of the Quality System
- Basic elements
- Interpret the basic elements of a quality system, including planning, control, and improvement, from product and process design through quality cost systems and audit programs.
- Design
- Analyze the design and alignment of interrelated processes to the strategic plan and core processes.

- Documentation of the Quality System
- Document components
- Identify and describe quality system documentation components, including quality policies and procedures to support the system.
- Document control
- Evaluate configuration management, maintenance, and document control to manage work instructions and quality records.
- Quality Standards and Other Guidelines
- Apply national and international standards and other requirements and guidelines, including the Malcolm Baldrige National Quality Award (MBNQA), and describe key points of the ISO 9000 series of standards. (Note: Industry-specific standards will not be tested.)

- Quality Audits
- Types of audits
- Describe and classify the various types of quality audits such as product, process, management (system), registration (certification), compliance (regulatory), first, second, and third party.
- Roles and responsibilities in audits
- Identify and define roles and responsibilities for audit participants such as audit team (leader and members), client, and auditee.
- Audit planning and implementation
- Describe and apply the stages of a quality audit, from audit planning, including assessing risks through conducting an audit.
- Audit reporting and follow-up
- Apply the steps of audit reporting and follow-up, including the need to verify corrective action.

- Cost of Quality (COQ)
- Identify and apply COQ concepts, including cost categorization, data collection, reporting, and interpreting results.
- Quality Training
- Identify and apply key elements of a training program, including conducting a needs analysis, preparing curricula and materials, and determining the program’s effectiveness.
- Product, Process, and Service Design
- Classification of Quality Characteristics
- Define, interpret, assess, and classify quality characteristics for new and existing products, processes, and services.

- Design Inputs, Techniques, and Review
- Inputs
- Classify design inputs such as customer needs, regulatory requirements, critical to quality, and risk assessment into robust design using techniques such as failure mode and effects analysis (FMEA).
- Techniques
- Apply Design for X (DFX), Design for Six Sigma (DFSS), and requirements traceability.
- Review
- Identify and apply common elements of the design review process, including roles and responsibilities of participants.

- Technical Drawings and Specifications
- Interpret specification requirements in relation to product and process characteristics and technical drawings, including characteristics such as views, title blocks, dimensioning and tolerancing, and geometric dimensioning and tolerance symbols (GD&T).
- Verification and Validation
- Interpret the results of evaluations and tests used to verify and validate the design of products, processes and services, such as installation qualification (IQ), operational qualification (OQ), and process qualification (PQ).

- Reliability and Maintainability
- Predictive and preventive maintenance tools
- Describe and apply the tools and techniques used to maintain and Excellerate process and product reliability.
- Reliability and maintainability indices
- Apply indices such as mean time to failure (MTTF), mean time between failure (MTBF), mean time to repair (MTTR), availability, and failure rate.
- Reliability models
- Classify and apply the basic elements of reliability models such as exponential, Weibull, and bathtub curve.
- Reliability/Safety/Hazard Assessment Tools
- Define, construct, and interpret the results of failure mode and effects analysis (FMEA), design FMEA (dFMEA), process FMEA (pFMEA), use FMEA (uFMEA), failure mode, effects, and criticality analysis (FMECA), and hazard analysis.

- Product and Process Control
- Methods
- Implement product and process control methods such as control plan development, critical control point identification, and work instruction development and validation.
- Material Control
- Material identification, status, and traceability
- Define and distinguish between these concepts, and describe methods for applying them in various situations.
- Material segregation
- Describe material segregation and its importance, and evaluate appropriate methods for applying it in various situations.
- Material classification
- Assess and classify product and process defects and nonconformities.
- Material review board (MRB)
- Describe the purpose and function of an MRB, and evaluate nonconforming product or material to make a disposition decision in various situations.

- Acceptance Sampling
- Sampling concepts
- Apply the concepts of producer and consumer risk, and related terms, including operating characteristic (OC) curves, acceptable quality limit (AQL), and lot tolerance percent defective (LTPD).
- Sampling standards and plans
- Identify, interpret, and apply ANSI/ASQ Z1.4 and Z1.9 standards for attributes and variables sampling.
- trial integrity
- Identify and apply techniques for establishing and maintaining trial integrity.

- Measurement and Test
- Measurement tools
- Select and describe appropriate uses of inspection tools such as gage blocks, calipers, micrometers, optical comparators, and coordinate measuring machines (CMM).
- Destructive and nondestructive tests
- Identify when destructive and nondestructive measurement test methods should be used and apply the methods appropriately.

- Metrology
- Apply metrology techniques such as calibration, traceability to calibration standards, measurement error and its sources, and control and maintenance of measurement standards and devices.
- Measurement System
- Analysis (MSA)
- Calculate, analyze, and interpret repeatability and reproducibility (gage R&R) studies, measurement correlation, capability, bias, linearity, precision, stability and accuracy, using MSA quantitative and graphical methods.

- Quality Control Tools
- Select, construct, apply, and interpret the following quality control tools:
- Flowcharts
- Pareto charts
- Cause and effect diagrams
- Control charts
- Check sheets
- Scatter diagrams
- Histograms (Analyze)

- Quality Management and Planning Tools
- Select, construct, apply, and interpret the following quality management and planning tools:
- Affinity diagrams and force field analysis
- Tree diagrams
- Process decision program charts (PDPC)
- Matrix diagrams
- Interrelationship digraphs
- Prioritization matrices
- Activity network diagrams

- Continuous Improvement Methodologies
- Define, describe, and apply the following continuous improvement methodologies:
- Total quality management (TQM)
- Kaizen
- Plan-do-check-act (PDCA)
- Six Sigma

- Lean tools
- Define, describe, and apply the following lean tools:
- 5S
- Value stream mapping
- Kanban
- Visual control
- 8 Wastes
- Standardized work
- Takt time
- Single minute exchange of die (SMED)
- Overall equipment effectiveness (OEE)

- Corrective Action
- Identify, describe, and apply elements of the corrective action process, including problem identification, failure analysis, root cause analysis, 5 Whys, problem correction, recurrence control, and verification of effectiveness.
- Preventive Action
- Identify, describe, and apply various preventive action tools such as error proofing/poka-yoke, and robust design, and analyze their effectiveness.

- Collecting and Summarizing Data
- Types of data Define, classify, and compare discrete (attributes) and continuous (variables) data.
- Measurement scales Define and describe nominal, ordinal, interval, and ratio scales.
- Data collection methods Describe various methods for collecting data, including tally or check sheets, data coding, automatic gaging, data automation, database integration, and identify the strengths and weaknesses of the methods.
- Data accuracy and integrity
- Identify factors that can influence data accuracy such as source/resource issues, flexibility, versatility, inconsistency, inappropriate interpretation of data values, and redundancy to ensure data accuracy and integrity.

- Data visualization techniques
- Apply and interpret data visualization techniques using dashboards, and select the appropriate metrics for dashboards.
- Descriptive statistics
- Describe, calculate, and interpret measures of central tendency and dispersion, apply the central limit theorem, and construct and interpret frequency distributions, including simple, categorical, grouped, ungrouped, and cumulative.
- Graphical methods for depicting distributions
- Apply and interpret diagrams such as probability plots for normal and other distributions.
- Quantitative Concepts
- Terminology
- Define and apply quantitative terms, including population, parameter, sample, statistic, random sampling, and expected value.

- Drawing statistical conclusions
- Distinguish between numeric and analytical studies. Assess the validity of statistical conclusions by analyzing the assumptions used and the robustness of the technique used.
- Probability terms and concepts
- Describe concepts such as independence, mutual exclusivity, multiplication rules, complementary probability, and joint occurrence of events.
- Probability Distributions
- Continuous distributions
- Define and distinguish between these distributions such as normal, uniform, exponential, lognormal, Weibull, Student’s t, and F.
- Discrete distributions
- Define and distinguish between these distributions such as binomial, Poisson, hypergeometric, and multinomial.

- Statistical Decision-Making
- Point estimates and confidence intervals
- Define, describe, and assess the bias of estimators. Calculate and interpret standard error, tolerance intervals, and confidence intervals.
- Hypothesis testing
- Define, interpret, and apply hypothesis tests for means, variances, and proportions. Apply and interpret the concepts of significance level, power, type I, and type II errors.
- Define and distinguish between statistical and practical significance.
- Paired-comparison tests
- Define and use paired-comparison (parametric) hypothesis tests and interpret the results.
- Goodness-of-fit tests
- Define and use chi square and other goodness-of-fit tests and understand the results.
- Analysis of variance (ANOVA)
- Define, use, and interpret ANOVA and interpret the results.
- Contingency tables
- Define and use contingency tables to evaluate statistical significance.

- Relationships Between Variables
- Linear regression
- Calculate simple linear regression models. Illustrate hypothesis tests for regression statistics. Use linear regression models for estimation and prediction.
- Simple linear correlation
- Calculate the correlation coefficient and its confidence interval and illustrate a hypothesis for correlation statistics.
- Time-series analysis
- Define, describe, and use time- series analysis, including moving average to identify trends and seasonal or cyclical variation.

- Statistical Process Control (SPC)
- Objectives and benefits
- Identify and explain the objectives and benefits of SPC.
- Common and special causes
- Describe, identify, and distinguish between these types of causes.
- Selection of variable
Identify and select variable characteristics for monitoring by control charts.
- Rational subgrouping
- Define and apply the principles of rational subgrouping.
- Control charts
- Identify, select, construct, and use various control charts, including X-R, X-s, individuals and moving range (ImR or XmR), moving average and moving range (MamR), p, np, c, and u.
- Control chart analysis
- Read and interpret control charts and use rules for determining statistical control.
- Short-run SPC
Identify and define short-run SPC rules.

- Process and Performance Capability
- Process capability studies
- Define, describe, calculate, and use process capability studies, including identifying characteristics, specifications and tolerances, developing sampling plans for such studies, and establishing statistical control.
- Process performance vs. specifications
- Distinguish between natural process limits and specification limits, and calculate percent defective, defects per million opportunities (DPMO), and parts per million (PPM).
- Process capability indices
- Define, select, and calculate Cp, Cpk, Cpm, and Cr, and evaluate process capability.
- Process performance indices
- Define, select, and calculate Pp and Ppk, and evaluate process performance.

- Design and Analysis of Experiments
- Terminology
- Define terms such as dependent and independent variables, factors, levels, response, treatment, error, and replication.
- Planning and organizing experiments
- Identify the basic elements of designed experiments, including determining the experiment objective, selecting factors, responses, and measurement methods, and choosing the appropriate design.
- Design principles
- Define and apply the principles of power and trial size, balance, replication, order, efficiency, randomization, blocking, interaction, and confounding.
- Full-factorial experiments
- Construct full-factorial designs and use computational and graphical methods to analyze the significance of results.
- Two-level fractional factorial experiments
- Construct two-level fractional factorial designs and apply computational and graphical methods to analyze the significance of results.

- Risk Fundamentals
- Risk terminology
- Define, describe, and apply risk terminology such as risk, risk management, severity, occurrence, detection, and risk-based thinking.
- Types of risk management
- Understand and apply various types of enterprise (strategic, software, business, regulatory, medical, audit), operational (supplier, supply chain, safety, project, manufacturing, operations, service, quality system), and product (design, process, use, safety) risk management.

- Risk Planning and Assessment
- Risk management plan
- Analyze and interpret a risk management plan and its components (objectives, risk criteria, stakeholder identification, and team member roles/responsibilities) to identify and prioritize risks.
- Risk assessment
- Apply categorization methods and evaluation tools to assess risk such as failure mode and effects analysis.
- Identify and apply evaluation metrics including the use of risk matrices, risk priority numbers, and acceptability criteria.

- Risk Treatment, Control, and Monitoring
- Identification and documentation
- Identify risks, gaps, and controls and document with tools such as a risk register.
- Risk management system evaluation
- Apply auditing techniques and testing of controls to evaluate a risk management system.
- Risk treatment strategies
- Understand and apply risk treatment strategies, such as avoid, mitigate, transfer, and accept.
- Risk monitoring
- Apply risk monitoring techniques such as, complaint tracking, trending, and post-market surveillance.
- Mitigation planning
- Apply and interpret risk mitigation plan.

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Question: 1282
In the context of risk monitoring, what is the significance of establishing a trending analysis for complaint data, and how does it aid in risk management?
1. It provides a snapshot of current complaints without future implications.
not relevant to operational risks. ocuses only on financial impacts.
er: B
nation: Trending analysis of complaint data helps identify recurring issues that may indicate mic risks, allowing organizations to implement proactive management and corrective actions vely.
ion: 1283
essing the effectiveness of a quality system, which of the following metrics would most likel indicate the alignment of quality objectives with the organization's strategic plans?
mber of non-conformances ality cost analysis
stomer satisfaction scores ployee turnover rates
er: C
nation: Customer satisfaction scores are a direct reflection of how well the quality system ali trategic objectives aimed at meeting customer needs.
It helps organizations identify recurring issues that may indicate systemic risks, enabling proactive management and corrective actions.
2. It is
3. It f Answ
Expla syste effecti
Quest
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1. Nu
2. Qu
3. Cu
4. Em
Answ
Expla gns
with s
Question: 1284
When conducting a root cause analysis using a cause and effect diagram, which of the following is least likely to be included in the analysis?
1. Environmental factors
2. Financial data
3. Human factors
4. Process-related factors Answer: B
Explanation: While environmental, human, and process-related factors are critical in a root cause analysis, financial data is typically less relevant in identifying the root causes of quality issues.
of the following techniques is most appropriate for forecasting future values based on past data series?
ving average
me-series decomposition mple linear regression gistic regression
er: A
nation: Moving averages are commonly used for forecasting future values based on historical oothing out short-term fluctuations.
ion: 1286
ssessing the effectiveness of a quality training program, which of the following evaluation ds is considered the most comprehensive for measuring long-term impact on organizational mance?
cking performance metrics over time and post-training assessments
mediate feedback from participants
Question: 1285
Which in
a time
1. Mo
2. Ti
3. Si
4. Lo
Answ
Expla data
by sm
Quest
When a metho perfor
1. Tra
2. Pre-
3. Im
4. Participant satisfaction surveys Answer: A
Explanation: Tracking performance metrics over time provides a comprehensive view of the long-term impact of the training program on organizational performance, beyond immediate feedback and satisfaction.
Question: 1287
In evaluating the effectiveness of various data collection methods, which of the following statements accurately reflects a potential disadvantage of using focus groups in a quality improvement context?
1. Focus groups can lead to dominant personalities skewing results, limiting the diversity of opinions expressed.
2. Focus groups provide quantitative data that is easy to analyze.
3. Focus groups are costly and time-consuming relative to other methods.
er: A
nation: Focus groups can be influenced by dominant personalities, which may skew the result he diversity of opinions, potentially compromising the quality of insights gained for Excellerate ves.
ion: 1288
of the following is a key characteristic of a successful Quality Management System (QMS) static and does not require updates.
entirely dependent on statistical tools.
romotes continuous improvement and adaptability to change. ocuses solely on meeting regulatory requirements.
er: C
nation: A successful QMS is dynamic, promoting continuous improvement and adaptability t es in processes, customer needs, and regulatory environments.
ion: 1289
Focus groups provide real-time feedback from a broad audience. Answ
Expla s and
limit t ment
initiati
Quest
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1. It is
2. It is
3. It p
4. It f Answ
Expla o
chang
Quest
In a reliability-centered maintenance (RCM) analysis, you discover that certain failure modes have a high severity rating but low occurrence ratings. What is the most appropriate action to take regarding these failure modes?
1. Ignore them since they occur infrequently
2. Focus on improving detection methods
3. Monitor them closely for any changes in occurrence
4. Implement preventive measures to reduce severity
Answer: D
Explanation: Since these failure modes have high severity, implementing preventive measures to mitigate the impact is critical, even if their occurrence is low.
Question: 1290
0%
%
er: B
nation: The percentage of observations below the last class interval is calculated as (Cumulati ency / Total Observations) * 100 = (150/200) * 100 = 75%.
ion: 1291
of the following is a key component of effective provider evaluation that directly impacts th of incoming materials and services?
pplier financial stability pplier location
pplier brand reputation
pplier quality management practices er: D
In a frequency distribution, if you have a cumulative frequency of 150 for the last class interval and a total number of observations of 200, what percentage of observations are below the last class interval?
1. 10
2. 75%
3. 150
4. 50%
Answ
Expla ve
Frequ
Quest
Which e
quality
1. Su
2. Su
3. Su
4. Su
Answ
Explanation: Evaluating provider quality management practices is critical for ensuring that incoming materials and services meet the organization�s quality standards.
Question: 1292
In a process improvement effort, a quality engineer uses a scatter diagram to analyze the impact of training hours on employee productivity. Which of the following findings would indicate a positive impact?
1. A diagonal line ascending from the lower left to the upper right
2. A horizontal line indicating no change
3. A cluster of points in the lower left quadrant
4. A random distribution of points Answer: A
ion: 1293
oes the Central Limit Theorem support the use of trial means in quality control processes uarantees that trial means will always equal the population mean.
llows for the assumption of normality in the distribution of trial means as trial size inc nsures that the trial standard deviation will be equal to the population standard deviation. ndicates that larger samples are unnecessary for accurate measurements.
er: B
nation: The Central Limit Theorem states that the distribution of trial means approaches lity as trial size increases, supporting the use of trial means in quality control.
ion: 1294
ontext of technical drawings, which geometric tolerance symbol indicates that a feature mu dicular to a specified datum plane, and how does this affect the manufacturing process?
erpendicularity symbol; it requires precise machining to achieve the specified angle.
Explanation: A diagonal line ascending from the lower left to the upper right in a scatter diagram indicates a positive correlation, suggesting that increased training hours lead to higher employee productivity.
Quest
How d ?
1. It g
2. It a reases.
3. It e
4. It i Answ
Expla norma
Quest
In the c st be
perpen
1. A p
2. A profile symbol; it indicates that the feature must maintain a specific contour.
3. A flatness symbol; it implies that machining must ensure a flat surface.
4. A circularity symbol; it signifies that the feature must be round. Answer: A
Explanation: The perpendicularity symbol indicates that a feature must be perpendicular to a specified datum plane, necessitating precise machining to achieve the required angle.
Question: 1295
To enhance the predictive capabilities of your QIS, it is essential to incorporate external data sources. Which type of external data would be most valuable for improving forecasts?
1. Market trends and competitor analysis data
2. Historical internal sales data
3. Employee performance reviews
er: A
nation: Market trends and competitor analysis data provide valuable context that can enhance cy of forecasts generated by the QIS.
ion: 1296
ontext of a risk management plan, which of the following components is crucial for ensurin keholders understand their responsibilities and the overall objectives of the risk management ies?
criteria
m member roles/responsibilities keholder identification
prioritization er: B
nation: Clearly defining team member roles and responsibilities ensures that all stakeholders tand their contributions to risk management, which is essential for effective risk mitigation.
Internal process metrics Answ
Expla the
accura
Quest
In the c g that
all sta activit
1. Risk
2. Tea
3. Sta
4. Risk Answ
Expla unders
Question: 1297
When implementing a sampling plan based on ANSI/ASQ Z1.4, which factor is most critical in determining the appropriate acceptance number for a given AQL?
1. The lot size
2. The trial size
3. The historical defect rate
4. The production process variability
Answer: B
Explanation: The acceptance number is directly influenced by the trial size. A larger trial size typically allows for a higher acceptance number to maintain the specified AQL.
Question: 1298
What is the primary focus of a compliance audit in the context of quality management systems?
suring that internal processes align with best practices ifying adherence to regulatory requirements and standards aluating the effectiveness of training programs
sessing financial performance related to quality er: B
nation: The primary focus of a compliance audit is to verify adherence to regulatory require andards, ensuring that the organization meets necessary legal and quality obligations.
ion: 1299
mplementing a risk treatment strategy to transfer risk, which of the following is the most co used by organizations?
chasing insurance or outsourcing specific operations to mitigate potential losses. oring the risk and hoping it does not materialize.
ying solely on internal controls without external support. ducing operational capacity to lessen risk exposure.
er: A
nation: Transferring risk is commonly achieved by purchasing insurance or outsourcing certai
En
Ver
Ev
As
Answ
Expla ments
and st
Quest
When i mmon
method
1. Pur
2. Ign
3. Rel
4. Re
Answ
Expla n
operations, allowing organizations to mitigate potential losses while maintaining core activities.
Question: 1300
What is the significance of the term "continuous improvement" in the context of a QMS, and how does it relate to performance measurement?
1. It emphasizes the importance of meeting regulatory requirements exclusively.
2. It is a strategy to reduce operational costs without regard for quality.
3. It refers to ongoing efforts to Excellerate products, services, or processes based on performance metrics.
4. It suggests that improvement efforts should be implemented only when significant issues arise. Answer: C
ion: 1301
duct design undergoes a design FMEA, and the team identifies a critical failure mode with a severity rating. What is the most effective way to address this in the design phase?
plement design changes to eliminate the failure mode ggest additional testing to confirm failure rates cument the failure mode for future reference
rease the inspection frequency in production er: A
nation: Implementing design changes to eliminate the failure mode addresses the root cause a cantly improves product reliability and safety.
ion: 1302
omparing nominal and ordinal data, which of the following statements accurately reflects th primary distinction between the two types of data in terms of their application in quality control?
dinal data provides a rank order but does not quantify the differences between ranks, while n ategorizes without implying order.
Explanation: Continuous improvement involves ongoing efforts to enhance products, services, or processes based on insights gained from performance metrics, ensuring that quality standards evolve over time.
Quest
A pro high
1. Im
2. Su
3. Do
4. Inc Answ
Expla nd
signifi
Quest
When c e
1. Or ominal
data c
2. Nominal data can be ranked, while ordinal data cannot.
3. Nominal data is continuous, while ordinal data is discrete.
4. Ordinal data is limited to qualitative measures, while nominal data can be quantitative. Answer: A
Explanation: Ordinal data provides a rank order of items but does not quantify the differences between the ranks, while nominal data categorizes information without any inherent order, which affects how each type can be used in quality control analysis.

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