CSSYB Verified 2026 Edition

ASQ Certified Six Sigma Yellow Belt Practice Test

The ASQ Certified Six Sigma Yellow Belt (CSSYB) is an entry-level credential for people newly exposed to Six Sigma, with no prior experience or education required. The practice test works through Six Sigma and Lean fundamentals, and the define, measure, analyze, improve and control phases at an introductory level. It often precedes the Green Belt and Black Belt certifications.

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Exam Information

Official specifications published by ASQ

Exam Format

550/750 (per ProcessExam; ASQ does not publicly disclose cut scores)
Foundation/Entry-Level

Registration

$422 USD
Prometric or online proctoring
English only

Validity

Lifetime certification (no recertification required)

CSSYB Exam Topics and Domains

CSSYB is organized into 5 weighted domains.

1

Six Sigma Fundamentals

25%

Six Sigma Foundations and Principles

Purpose of Six SigmaValue of Six Sigma to the Organization
  • Describe the purpose of Six Sigma (reducing variation), its methodology (DMAIC), and its evolution from quality
  • Describe the value of Six Sigma to the organization as a whole

Lean Foundations and Principles

Purpose of LeanLean Methodologies
  • Describe the purpose of lean (waste elimination) and its methodologies (just-in-time, poka-yoke, kanban, value stream mapping)
  • Describe the value of lean to the organization as a whole

Six Sigma Roles and Responsibilities

Six Sigma Team Member Roles

Define and describe the roles and responsibilities of Six Sigma team members (individual team members, Yellow Belt, Green Belt, Black Belt, Master Black Belt, process owner, champion, sponsor)

Team Basics

Types of TeamsStages of DevelopmentDecision-Making ToolsCommunication Methods
  • Identify the various types of teams that operate within an organization and their value
  • Describe the various stages of team evolution: forming, storming, norming, performing, and adjourning
  • Define and apply decision-making tools such as brainstorming, multivoting, and nominal group technique (NGT)
  • Explain how teams use agendas, meeting minutes, and project status reports, and how they support project success

Quality Tools and Six Sigma Metrics

Quality Tools (Seven Basic Quality Tools)Six Sigma Metrics
  • Select and use Pareto charts, cause and effect diagrams, flowcharts, run charts, check sheets, scatter diagrams, and histograms throughout the DMAIC process
  • Select and use DPU, DPMO, RTY, cycle time, and COPQ metrics throughout the DMAIC process
2

Define Phase

17.5%

Project Identification

Voice of the Customer (VOC)Project SelectionStakeholder AnalysisProcess Inputs and Outputs (SIPOC)Supply Chain Management
  • Define the voice of the customer and describe how customer needs are translated into quantifiable CTQ characteristics
  • Describe how projects are identified and selected as suitable for a Six Sigma project using DMAIC
  • Identify stakeholders and describe how each can influence the project
  • Use SIPOC to identify and define important elements of a process
  • Understand supply chain management and how it relates to project management

Project Management (PM) Basics

Project CharterCommunication PlanProject PlanningProject Management ToolsPhase Reviews (Tollgates)
  • Describe the purpose of a charter and its components: problem statement, project scope, baseline data, and project goal
  • Explain the purpose and benefits of a communication plan and how it can impact project success
  • Define WBS and Gantt charts, and describe how they are used to plan and monitor projects
  • Select and use various PM tools: activity network diagrams, affinity diagrams, matrix charts, relations charts, and tree diagrams
  • Explain how tollgate or phase reviews are used throughout the DMAIC lifecycle
3

Measure Phase

18.75%

Basic Statistics

Measures of Central TendencyMeasures of Dispersion
  • Define, calculate, and interpret measures of central tendency (mean, median, mode)
  • Understand measures of dispersion (standard deviation, range, variance)

Data Collection

Data Collection PlansQualitative and Quantitative DataData Collection Techniques
  • Describe the critical elements of a data collection plan including operational definition, data sources, method, and frequency
  • Define and distinguish between qualitative and quantitative data
  • Use various data collection techniques including surveys, interviews, check sheets, and checklists

Measurement System Analysis (MSA)

MSA TermsGauge Repeatability and Reproducibility (GR&R)
  • Define precision, accuracy, bias, linearity, and stability and describe how they apply in the measurement phase
  • Describe and distinguish between repeatability and reproducibility and describe how and why GR&R is used
4

Analyze Phase

21.25%

Process Analysis Tools

Lean ToolsFailure Mode and Effects Analysis (FMEA)
  • Define how 5S and value analysis can be used to identify and eliminate waste
  • Relate the elements of severity, occurrence, and detection
  • determine how they calculate RPN
  • demonstrate how FMEA identifies potential failures

Root Cause Analysis

Root Cause Analysis Methods

Describe how the 5 Whys, process mapping, 8D, force-field analysis, and matrix charts can be used to identify the root causes of a problem

Corrective Action

Corrective Action Process

Explain and apply elements of the corrective action process: identify the problem, contain the problem (interim action), determine the causes and propose solutions to eliminate it or prevent its recurrence (permanent action), verify implementation, and confirm effectiveness (validation)

Preventive Action

Preventive Action Process
  • Explain and apply elements of a preventive action process: understand process analysis techniques to identify potential failures, defects, or process deficiencies
  • improve the process through error-proofing and procedural changes
  • verify the effectiveness of the preventive action

Data Analysis

Basic Distribution TypesCommon and Special Cause Variation
  • Define and distinguish between normal and binomial distributions and describe how their shapes can affect data interpretation
  • Describe and distinguish between common and special cause variation

Correlation and Regression

CorrelationRegression
  • Describe how correlation is used to identify relationships between variables
  • Describe how regression analysis is used to predict outcomes

Hypothesis Testing

Hypothesis Testing Terms

Define and distinguish between hypothesis terms: null and alternative, Type I and Type II error, p-value and power

5

Improve and Control Phases

17.5%

Improvement Techniques

Kaizen and Kaizen BlitzPlan-Do-Check-Act (PDCA) CycleCost-Benefit Analysis
  • Define and distinguish between kaizen and kaizen blitz and describe how they improve processes
  • Define and distinguish between the steps in the PDCA cycle
  • Explain the importance of cost-benefit analysis and how it is used in the improve phase

Control Tools and Documentation

Control PlanControl ChartsDocument ControlWork Instructions and Standard Operating Procedures (SOPs)
  • Describe the importance of a control plan for maintaining improvements
  • Describe how X-bar and R charts are used for monitoring and sustaining improved processes
  • Describe the importance of documenting changes to a process and communicating those changes to stakeholders
  • Understand the purpose and use of work instructions and SOPs

How do I earn this certification?

Passing CSSYB earns the Certified Six Sigma Yellow Belt (CSSYB) certification. It sits in the Six Sigma track.

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How to study for this exam?

The most effective way to prepare for CSSYB is by using the PlanetCert Simulator to practice questions and review detailed explanations.

What's changed on this exam?

Current Status
  • ACTIVE
  • Last content update: 2022-09-01
Updates
  • DMAIC Methodology Standard Core methodology tested across all five domains
  • Statistical Process Control (SPC) Standard Control charts (X-bar and R) tested in Domain V
  • FMEA Standard (elevated to Apply level in 2022 BoK) Severity, occurrence, detection, and RPN calculation now at Apply cognitive level

Who should take this exam?

  • Interest in or exposure to Six Sigma and DMAIC
  • Basic understanding of quality concepts

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