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100+ Free SHRM People Analytics Practice Questions
SHRM People Analytics Specialty Credential practice questions are available now; exam metadata is being verified.
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Which of the following BEST describes 'augmented analytics' in the context of HR technology?
A
B
C
D
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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 Practice Questions
Verified exam format metadata for SHRM People Analytics Specialty Credential is pending. The practice questions above remain available while official exam length, timing, passing score, fee, and administrator details are reviewed.