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100+ Free SHRM People Analytics Practice Questions

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Key Facts: SHRM People Analytics Exam

3

Assessment Attempts Allowed

SHRM

4

Answer Choices Per Question

SHRM

Online

Non-Proctored Assessment Format

SHRM

6

Core Knowledge Domains Covered

SHRM People Analytics Specialty Credential

Not Disclosed

Published Passing Score

SHRM

The SHRM People Analytics Specialty Credential is earned by completing a blended learning program — instructor-led sessions and eLearning — followed by an online knowledge assessment. The assessment is multiple-choice (four answer choices per question), non-proctored, untimed, and allows up to 3 attempts. SHRM has not publicly disclosed the total question count or passing score. Content spans data literacy, HR metrics, analytical methods, data-driven decision-making, communicating insights, and building a people analytics function. No prior SHRM certification is required.

Sample SHRM People Analytics Practice Questions

Try these sample questions to test your SHRM People Analytics exam readiness. Each question includes a detailed explanation. Start the interactive quiz above for the full 100+ question experience with AI tutoring.

1An HR analyst collects employee engagement survey responses on a 5-point scale from 'Strongly Disagree' to 'Strongly Agree.' What type of data is this?
A.Ordinal data
B.Nominal data
C.Ratio data
D.Interval data
Explanation: Ordinal data represents categories with a meaningful order or ranking but with unknown or unequal intervals between values. A Likert scale is the classic example — we know 'Agree' is greater than 'Neutral,' but cannot claim the distance between points is uniform.
2Which term describes the degree to which a measurement tool consistently produces the same results under the same conditions?
A.Reliability
B.Validity
C.Accuracy
D.Precision
Explanation: Reliability is the consistency or repeatability of a measure. A reliable instrument yields similar results each time it is applied to the same subject under the same conditions. Reliability is a prerequisite for validity but does not guarantee it.
3An organization discovers that its employee dataset contains significant gaps in demographic data because historically the field was optional and often left blank. Which data quality dimension is most affected?
A.Accuracy
B.Timeliness
C.Completeness
D.Consistency
Explanation: Completeness measures the extent to which all required data is present. Missing values because a field was optional directly reduces completeness and can introduce bias into analytics outputs that rely on demographic breakdowns.
4Before sharing granular department-level attrition data with line managers, an HR analytics team realizes that some groups contain only two or three employees, making individuals identifiable. What principle should guide the team's action?
A.Aggregate or suppress small cells to protect employee privacy before sharing the data
B.Share the data anyway because managers already know who works in their teams
C.Delete the at-risk departments from the analysis to maintain a clean dataset
D.Present all data at the individual level to maximize transparency with leadership
Explanation: People analytics ethics requires protecting individual privacy, especially when small group sizes make anonymization ineffective. Aggregating data or suppressing cells below a minimum threshold (often n<5) is standard practice to prevent re-identification while still delivering useful insights.
5A company wants to measure 'quality of hire.' Which combination of metrics best captures this concept?
A.New hire performance ratings, retention rate, and hiring manager satisfaction
B.Time-to-fill and cost-per-hire
C.Offer acceptance rate and source of hire
D.Applicants per requisition and interview-to-offer ratio
Explanation: Quality of hire is a composite metric that assesses how well new employees perform and how long they stay. SHRM and LinkedIn Talent Trends research consistently identifies performance ratings, retention at 12 months, and hiring manager satisfaction as the core components, though organizations may customize weightings.
6An organization's monthly voluntary turnover rate is 3%. What is its annualized voluntary turnover rate?
A.3%
B.18%
C.36%
D.30%
Explanation: To annualize a monthly rate, multiply by 12: 3% × 12 = 36%. While this is a simple approximation (compound methods give slightly different results), annualizing is standard practice for benchmarking against industry data typically reported annually.
7Time-to-fill is best defined as the number of calendar days from:
A.The date a job is approved/requisitioned to the date an offer is accepted
B.The date a candidate applies to the date they accept an offer
C.The date a job is posted to the date the new hire starts work
D.The date of first interview to the date a background check is cleared
Explanation: SHRM defines time-to-fill as the number of days from when a job requisition is approved to when a candidate accepts an offer. This measure captures total recruiting cycle time including sourcing, which time-to-hire (offer to acceptance) and time-to-start (acceptance to first day) do not include.
8An HR team finds a strong positive correlation (r = 0.78) between manager effectiveness scores and employee engagement scores. A business partner concludes that improving manager effectiveness will cause engagement to rise. What is the primary flaw in this reasoning?
A.Correlation does not establish causation; a third variable may explain both scores
B.The correlation coefficient is too low to be meaningful in HR research
C.Engagement data is always ordinal and therefore not suitable for correlation analysis
D.The sample size is irrelevant to interpreting correlation coefficients
Explanation: Correlation measures the strength of association between two variables but cannot tell us which variable causes the other, or whether both are driven by a third confounding variable (e.g., team culture, business unit performance). Establishing causation requires study designs such as experiments or longitudinal controls.
9Descriptive analytics in HR is best characterized as:
A.Summarizing what has happened in the workforce using past data
B.Using historical data to forecast future employee behavior
C.Recommending specific HR interventions based on algorithmic outputs
D.Identifying causal relationships between HR programs and business outcomes
Explanation: Descriptive analytics answers 'what happened?' by summarizing historical HR data through measures such as headcount, turnover rates, time-to-fill, and engagement scores. It is the foundational level of the analytics maturity model and precedes diagnostic, predictive, and prescriptive analytics.
10An HR analyst segments the workforce by generation, tenure band, and business unit to understand differences in voluntary turnover rates. This technique is called:
A.Regression analysis
B.Benchmarking
C.Cohort segmentation
D.Predictive modeling
Explanation: Cohort segmentation (or workforce segmentation) divides the employee population into subgroups based on shared characteristics to detect patterns that are invisible in aggregate data. Identifying that 5-year tenured engineers turn over at twice the rate of the broader workforce is a classic segmentation insight.

About the SHRM People Analytics Exam

The SHRM People Analytics Specialty Credential recognizes HR professionals who demonstrate proficiency in using data and analytics to make evidence-informed workforce decisions. Earning it requires completing SHRM's instructor-led program and eLearning courses and then passing an online multiple-choice knowledge assessment. The assessment is non-proctored, untimed, and allows up to three attempts. Upon completion, candidates receive Professional Development Credits (PDCs) and a digital badge.

Assessment

Question count not published by the exam provider

Time Limit

Online assessment; no published time limit; non-proctored; up to 3 attempts

Passing Score

Not publicly disclosed; candidates must pass to earn the credential

Exam Fee

Bundled with the full SHRM People Analytics Specialty Credential program package (SHRM)

SHRM People Analytics Exam Content Outline

~17%

Data Literacy Foundations

Data types and measurement scales, data quality (completeness, accuracy, consistency), validity and reliability, ethics and privacy in people data, and data minimization

~17%

HR Metrics & Analytics

Talent acquisition metrics (time-to-fill, cost-per-hire, quality of hire, offer acceptance rate), engagement, retention and turnover metrics, KPIs vs. metrics, leading vs. lagging indicators

~17%

Analyzing Qualitative & Quantitative People Data

Descriptive vs. inferential analytics, correlation vs. causation, segmentation, benchmarking, research design, regression, statistical significance, and text analytics

~17%

Data-Driven Decision-Making

Linking people data to business outcomes, building a business case, analytics maturity model, predictive and prescriptive analytics, flight risk modeling, and workforce scenario planning

~16%

Communicating Analytics Insights

Chart selection and data visualization best practices, dashboard design, data storytelling, and presenting analytics findings to executive audiences

~16%

Building & Implementing a People Analytics Function

Data governance, analytics charter, stakeholder engagement, HRIS and technology selection, HR data literacy, analytics roadmap, responsible AI, and change management

How to Pass the SHRM People Analytics Exam

What You Need to Know

  • Passing score: Not publicly disclosed; candidates must pass to earn the credential
  • Assessment: Question count not published by the exam provider
  • Time limit: Online assessment; no published time limit; non-proctored; up to 3 attempts
  • Exam fee: Bundled with the full SHRM People Analytics Specialty Credential program package

Keys to Passing

  • Work through all 100 available questions
  • Review every answer and explanation
  • Track weak areas and revisit them
  • Use our AI tutor for tough concepts

SHRM People Analytics Study Tips from Top Performers

1Complete all SHRM program components before the assessment — the instructor-led and eLearning content covers the tested material
2Master the analytics maturity model: understand what question each level answers (what, why, what will, what should) and which HR use cases fit each level
3Know the formulas and definitions for core metrics: time-to-fill, cost-per-hire (ANSI/SHRM standard), quality of hire components, voluntary vs. involuntary turnover rate, and offer acceptance rate
4Understand the difference between correlation and causation — this distinction appears throughout the SHRM people analytics curriculum and is tested in scenario-based questions
5Study data ethics principles: data minimization, privacy, algorithmic bias, and the obligation to protect individuals in small-cell populations before sharing analytics outputs
6Practice selecting the right chart type for the right purpose: line for trends, bar for comparisons, scatter for relationships, stacked bar for composition over time

Frequently Asked Questions

What is the SHRM People Analytics Specialty Credential?

The SHRM People Analytics Specialty Credential is a professional development credential earned by completing SHRM's blended learning program — instructor-led sessions and eLearning courses — and passing an online multiple-choice knowledge assessment. It recognizes HR professionals who can use data to make evidence-informed workforce decisions. Earners receive PDCs and a digital badge.

How many questions are on the SHRM People Analytics knowledge assessment?

SHRM has not publicly disclosed the total number of questions on the People Analytics Specialty Credential knowledge assessment. The assessment uses multiple-choice questions with four answer choices. It is non-proctored, untimed, and allows up to 3 attempts. SHRM also has not published the passing score.

Do I need to be SHRM-CP or SHRM-SCP certified to earn the People Analytics Specialty Credential?

No. SHRM certification is not required to earn the People Analytics Specialty Credential. However, SHRM-CP and SHRM-SCP holders who complete the program receive PDCs automatically credited to their recertification profile.

What topics does the SHRM People Analytics Specialty Credential cover?

The credential covers data literacy (data types, quality, validity/reliability, ethics and privacy), HR metrics (time-to-fill, cost-per-hire, quality of hire, turnover rates, engagement), analytical methods (descriptive/diagnostic/predictive/prescriptive analytics, correlation vs. causation, segmentation, benchmarking), data-driven decision-making (business case building, flight risk models, workforce planning), communicating insights (data visualization, dashboards, executive storytelling), and building a people analytics function (governance, stakeholder engagement, tools, capability building).

How many attempts are allowed on the SHRM People Analytics knowledge assessment?

The SHRM People Analytics Specialty Credential knowledge assessment allows up to 3 attempts. The assessment is non-proctored and untimed. Contact SHRM directly for policies on assessment access beyond 3 attempts.

How should I prepare for the SHRM People Analytics knowledge assessment?

Complete the SHRM instructor-led program and eLearning courses before the assessment. Supplement with practice questions covering core HR metrics (time-to-fill, cost-per-hire, quality of hire, voluntary turnover), data literacy concepts (data types, quality dimensions, validity/reliability), the analytics maturity model (descriptive→diagnostic→predictive→prescriptive), data visualization best practices, business case building, and data governance principles.