ASQ CQPA Certification Exam Syllabus

CQPA dumps PDF, ASQ CQPA Braindumps, free Quality Process Analyst dumps, Quality Process Analyst dumps free downloadTo achieve the professional designation of ASQ Certified Quality Process Analyst from the ASQ, candidates must clear the CQPA Exam with the minimum cut-off score. For those who wish to pass the ASQ Quality Process Analyst certification exam with good percentage, please take a look at the following reference document detailing what should be included in ASQ Quality Process Analyst Exam preparation.

The ASQ CQPA Exam Summary, Body of Knowledge (BOK), Sample Question Bank and Practice Exam provide the basis for the real ASQ Certified Quality Process Analyst (CQPA) exam. We have designed these resources to help you get ready to take ASQ Certified Quality Process Analyst (CQPA) exam. If you have made the decision to become a certified professional, we suggest you take authorized training and prepare with our online premium ASQ Quality Process Analyst Practice Exam to achieve the best result.

ASQ CQPA Exam Summary:

Exam Name ASQ Certified Quality Process Analyst
Exam Code CQPA
Exam Fee ASQ MEMBERS - $334
NON-MEMBERS - $434
RETAKES - $234
Exam Duration Total appointment time- 270
Exam Time - 258 Minutes
Number of Questions 110
Passing Score 550/750
Format Multiple Choice Questions
Books / Trainings CQPA Handbook
Schedule Exam Book Your Exam
Sample Questions ASQ Quality Process Analyst Exam Sample Questions and Answers
Practice Exam ASQ Certified Quality Process Analyst (CQPA) Practice Test

ASQ Quality Process Analyst Syllabus Topics:

Topic Details

I. Quality Concepts and Team Dynamics (22 Questions)
A. Professional Conduct and Ethics - Identify and apply behaviors that are aligned with the ASQ Code of Ethics. (Apply)
B. Quality Concepts 1. Quality
- Describe how using quality techniques to improve processes, products, and services can benefit all parts of an organization. Describe what quality means to various stakeholders (e.g., employees, organization, customers, suppliers, community) and how each can benefit from quality. (Understand)

2. Leadership commitment
- Understand why leadership commitment is critical to quality success, including providing resources, reinforcing continuous improvement, and fostering communication with all stakeholders. (Understand)

3. Communicating quality
- Understand how to communicate the importance of quality to the organization and how to translate quality outcomes, such as data trends and process performance, into clear actionable items. (Apply)

4. Quality planning
- Define a quality plan, describe its purpose for the organization, and know who has responsibility for contributing to its development. (Understand)

5. Quality standards, requirements, and specifications
- Define and distinguish between national or international standards, customer requirements, and product or process specifications. (Understand)

 
6. Quality documentation
- Identify and describe common elements of various document control systems, including configuration management. Describe the relationship between quality manuals, procedures, and work instructions. (Understand)
 
7. Cost of quality (COQ)
- Define and describe the four cost of quality categories: prevention, appraisal, internal failure, and external failure. (Apply) 
C. Quality Audits 1. Audit types
- Define and distinguish between basic audit types, such as internal and external audits; product, process, and systems audits; and first-, second-, and third-party audits. (Understand)
 
2. Audit components
- Identify various elements of the audit process, including audit purpose and scope, the standard to audit against, audit planning (preparation) and performance, opening and closing meetings, final audit report, and verification of corrective actions. (Understand)

3. Audit roles and responsibilities
- Identify and describe the roles and responsibilities of key audit participants, including lead auditor, audit team member, client, and auditee. (Understand)
D. Team Dynamics and Processes 1. Types of teams
- Distinguish between various types of teams, including process improvement teams, work groups/work cells, self-managed teams, temporary/ad hoc project teams, crossfunctional teams, and remote teams. (Analyze)
 

2. Team development
- Identify various elements in team building, such as inviting team members to share information about themselves during the initial meeting, using ice-breaker activities to enhance team membership, and developing a common vision and agreement on team objectives. (Apply)

3. Team stages
- Describe the classic stages of team evolution: forming, storming, norming, performing, and adjourning. (Understand)

4. Team roles and responsibilities
- Describe the roles and responsibilities of various team stakeholders, including sponsor, champion, facilitator, team leader, and team member. (Understand) 

5. Effective team meetings
- Identify and apply elements of effective meetings, including agendas, meeting minutes, action items, and due dates. (Apply)

6. Team conflict
- Identify common group challenges, including groupthink, members with hidden and/or competing agendas, intentional distractions, and other disruptive behaviors. Describe ways of resolving these issues and keeping team members on task. (Understand)
E. Training and Evaluation - Describe various elements of training, including linking the training to organizational goals, identifying training needs, adapting information to meet adult learning styles, and using coaching and peer training methods. Describe various tools to measure the effectiveness of the training, including post-training feedback, end-of-course tests, and individual and department performance improvement measures. (Understand)

II. Quality Tools and Process Improvement Techniques (29 Questions)
A. Process Improvement Concepts and Approaches - Define and explain elements of Plan-Do-Check-Act (PDCA), kaizen activities, incremental and breakthrough improvement, and DMAIC phases (define, measure, analyze, improve control). (Apply) 
B. Basic Quality Tools - Select, construct, apply, and interpret the seven basic quality tools: 1) cause and effect diagrams, 2) flowcharts (process maps), 3) check sheets, 4) Pareto charts, 5) scatter diagrams, 6) run charts and control charts, and 7) histograms. (Evaluate)
C. Process Improvement Techniques

1. Lean
- Identify and apply lean concepts and tools, including set-up reduction (SUR), pull (including just in-time (JIT) and kanban), 5S, continuous flow manufacturing (CFM), value-added analysis, value stream mapping, theory of constraints (TOC), poka-yoke, and total productive/predictive maintenance (TPM) to reduce waste in areas of cost inventory, labor, and distance. (Apply)

2. Six Sigma
- Identify key Six Sigma concepts, including variation reduction, voice of the customer (VOC), and the roles and responsibilities of the belt levels (yellow belt, green belt, black belt, and master black belt). (Apply)

3. Benchmarking
- Define benchmarking and describe how it can be used to develop and support best practices. (Understand)

4. Risk management
- Recognize the types of risk that can occur throughout the organization, such as scheduling, shipping/receiving, financials, operations and supply chain, employee and user safety, and regulatory compliance and changes. Describe risk control and mitigation methods, including avoidance, reduction, prevention, segregation, and transfer. (Understand)

5. Business process management (BPM)
- Define and describe business process management, including the business proces lifecycle phases (Design, Modeling, Execution, Monitoring, and Optimization). (Understand)
D. Management and Planning

1. Quality management tools
- Select and apply quality management tools, including affinity diagrams, tree diagrams, process decision program charts, matrix diagrams, interrelationship digraphs, prioritization matrices, and activity network diagrams. (Apply)

2. Project management tools
- Select and interpret project management tools, such as Gantt charts, program evaluation and review technique (PERT), work breakdown structure (WBS), and critical path method (CPM). (Apply)

3. Project management approaches
- Understand traditional and agile project management approaches and when each is appropriate (Understand)

4. Change management
- Understand basic change management concepts, including the importance of communication, employee involvement, leadership support, and strategies to reduce resistance and sustain improvements. (Understand)

III. Data Analysis (33 Questions)
A. Basic Concepts 1. Basic statistics
- Define, calculate, and interpret measures of central tendency (mean, median, mode) and measures of dispersion (standard deviation, range, variance). (Analyze)

2. Basic distributions
- Define and explain frequency distributions (normal, binomial, Poisson, and Weibull) and the characteristics of skewed and bimodal distributions. (Understand)

3. Probability concepts
- Describe and use probability concepts, such as independent and mutually exclusive events, combinations, permutations, additive and multiplicative rules, and conditional probability. Perform basic probability calculations. (Apply)

4. Reliability concepts
- Define basic reliability concepts, such as mean time to failure (MTTF), mean time between failures (MTBF), mean time between maintenance (MTBM), and mean time to repair (MTTR). Identify elements of the bathtub curve model and how they are used to predict failure patterns. (Remember) 
B. Data Types, Collection, and Integrity

1. Measurement scales
- Define and use nominal, ordinal, interval, and ratio measurement scales. (Apply)

2. Data types
- Identify, define, and classify data in terms of continuous (variables) and discrete (attributes or counts). Determine when it is appropriate to convert attributes data to variables measures. (Apply)

3. Data collection and analysis
- Identify and describe the advantages of collecting and analyzing real-time data. (Understand)

4. Data quality and integrity

- Understand data quality attributes, such as accuracy, completeness, consistency, timeliness, and relevance. Recognize methods that verify data validity and reliability from source through data analysis using various techniques, such as auditing trails, vendor qualification, error detection software, training for record management etc., to prevent and detect data integrity issues. (Apply)

5. Data plotting
- Identify the advantages and limitations of using data plotting to analyze data visually (Understand)
C. Sampling 1. Sampling methods
- Define and distinguish between various sampling methods, such as random, sequential, stratified, systemic/fixed sampling, rational subgroup sampling, and attributes and variables sampling. (Understand)
 

2. Acceptance sampling
- Identify and define sampling characteristics, such as lot size, sample size, acceptance number, and operating characteristic (OC) curve. Understand when to use the probability approach to acceptance sampling. (Understand)
D. Measurement System Analysis - Define and distinguish between accuracy, precision, repeatability and reproducibility (gage R&R) studies, bias, and linearity. (Apply)
E. Statistical Process Control (SPC) 1. Fundamental concepts
- Distinguish between control limits and specification limits, and between process stability and process capability. (Apply)

2. Rational subgroups
- Explain and apply the principles of rational subgroups. (Apply)

3. Control charts for attributes data
- Identify, select, and interpret control charts (p, np, c, and u) for data that is measured as discrete attributes or discrete counts. (Analyze)

4. Control charts for variables data
- Identify, select, and interpret control charts (X̅– R, X̅– s, and XmR) for data that is measured on a continuous scale. (Analyze)

5. Common and special cause variation
- Interpret various control chart patterns (e.g., runs, hugging, and trends) to determine process control and use SPC rules to distinguish between common cause and special cause variation. (Analyze)

6. Process capability measures
- Describe the conditions that must be met to measure capability. Calculate Cp, Cpk, Pp, and Ppk measures and interpret their results. (Analyze)
F. Advanced Statistical Analysis 1. Regression and correlation models
- Describe how these models are used for estimation and prediction. (Apply)

2. Hypothesis testing
- Calculate confidence intervals using t tests and the z statistic and determine whether the result is significant. (Analyze)

3. Design of experiments (DOE)
- Define and explain basic DOE terms, such as response, factors, levels, treatment, interaction effects, randomization, error, and blocking. (Understand)

4. Taguchi concepts and methods
- Identify and describe Taguchi concepts, such as quality loss function, robustness, controllable and uncontrollable factors, and signal to noise ratio. (Understand)

IV. Customer-Supplier Relations (10 Questions)
A. Internal and External Customers and Suppliers - Define and distinguish between internal and external customers and suppliers. Describe their impact on products, services, and processes, and identify strategies for collaborating with them to make improvements. (Apply)
B. Customer Satisfaction Methods - Describe the different types of tools used to gather customer feedback, such as surveys, focus groups, complaint forms, and warranty analysis. Explain key elements of quality function deployment (QFD) for understanding and translating the voice of the customer. (Understand)
C. Product and Process Approval Systems - Describe how validation and qualification methods, including beta testing, first-article, inprocess, and final inspection are used to approve new or updated products, processes, and services (Apply)
D. Supplier Management 1. Supplier selection
- Describe and outline criteria for selecting, approving, and classifying suppliers, including internal rating programs, external certification standard requirements, and environmental/social responsibility. (Understand)

2. Supplier performance
- Describe supplier performance in terms of measures, such as quality (e.g., defect rates, functional performance), price, delivery speed, delivery reliability, level of service, and technical support. Understand performance monitoring and improvement tools, such as supplier audits and supplier corrective action requests (SCARs). (Understand)
E. Material Identification, Status, and Traceability - Describe the importance of identifying material by lot, batch, source, and conformance status, including impact for recalls. Describe key requirements for preserving the identity of a product and its origin. Use various methods to segregate nonconforming material and process it according to procedures. (Apply)

V. Corrective and Preventive Action (CAPA) (6 Questions)
A. Corrective Action - Demonstrate key elements of the corrective action process: identify the problem, contain the problem, determine the root causes, propose solutions to eliminate and prevent their recurrence, verify that the solutions are implemented, and confirm their effectiveness. (Apply)
B. Preventive Action - Demonstrate key elements of a preventive action process: track data trends and patterns, use failure mode and effects analysis (FMEA), review product and process monitoring reports, and study the process to identify potential failures, defects, or deficiencies. Improve the process by developing error/mistake-proofing methods and procedural changes, verify that the changes are made, and confirm their effectiveness. (Apply) 

Both ASQ and veterans who’ve earned multiple certifications maintain that the best preparation for a ASQ CQPA professional certification exam is practical experience, hands-on training and practice exam. This is the most effective way to gain in-depth understanding of ASQ Quality Process Analyst concepts. When you understand techniques, it helps you retain ASQ Quality Process Analyst knowledge and recall that when needed.

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