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Free ACCA Advanced Performance Management Practice Questions & Answers
400 exam-style Advanced Performance Management questions. Pick your answer, hit Check answer, and see the worked solution — free to start, no signup.
100% free · No login to startQuestion 271
What is 'predictive analytics'?
Select an option first.
Correct answer: B — Analytics that uses statistical models, machine learning, and historical data to forecast future outcomes — answering 'what is likely to happen?'
Explanation: Predictive analytics: uses regression, time series, and ML models to forecast future demand, sales, churn, etc. A is descriptive; C is prescriptive; D is operational reporting.
Question 272
What is 'prescriptive analytics' (included in the 2025-26 APM syllabus)?
Select an option first.
Correct answer: B — Analytics that recommends specific actions to achieve desired outcomes — using optimisation, simulation, and AI algorithms to answer 'what should we do?'
Explanation: Prescriptive analytics is the most advanced tier: it not only forecasts outcomes but recommends the best course of action. E.g., dynamic pricing algorithms, supply chain optimisation. A is descriptive; C is predictive; D is variance analysis.
Question 273
What is 'diagnostic analytics'?
Select an option first.
Correct answer: B — Analytics that investigates WHY something happened — drilling into historical data to identify root causes of trends or anomalies
Explanation: Diagnostic analytics: goes beyond description to explain causes. E.g., why did customer churn spike in Q3? A is prescriptive; C is descriptive/operational; D is predictive.
Question 274
What is 'artificial intelligence' (AI) in the context of business performance management?
Select an option first.
Correct answer: B — The simulation of human intelligence processes by computer systems — including machine learning, natural language processing, and computer vision — used to automate decisions, identify patterns in large datasets, and improve predictions
Explanation: AI in performance management: automates routine analysis (fraud detection, forecasting), identifies non-obvious patterns in big data, and enables real-time decision support. A overstates; C and D are wrong.
Question 275
What is 'machine learning' (ML)?
Select an option first.
Correct answer: B — A branch of AI where systems learn from data to improve their performance without being explicitly programmed — identifying patterns and making predictions as more data is fed into the model
Explanation: Machine learning: algorithms train on data and improve over time. Used in: demand forecasting, fraud detection, customer segmentation, and predictive maintenance. A, C and D are wrong definitions.
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Question 276
What is the difference between 'structured' and 'unstructured' data?
Select an option first.
Correct answer: B — Structured data is organised into rows and columns (databases, spreadsheets); unstructured data has no predefined format (emails, social media posts, videos, images) — approximately 80% of business data is unstructured
Explanation: Structured data: formatted, easily searchable in relational databases (e.g., sales transactions). Unstructured data: free-form, requires NLP or computer vision to analyse (e.g., customer reviews, call recordings). A, C and D are wrong.
Question 277
What is 'data mining'?
Select an option first.
Correct answer: B — The process of discovering previously unknown patterns, correlations, and insights from large datasets using statistical and computational techniques
Explanation: Data mining: uses algorithms to find hidden patterns in large datasets — e.g., identifying that customers who buy product X also tend to buy product Y (market basket analysis). A, C and D are wrong definitions.
Question 278
What is a 'dashboard' in management information systems?
Select an option first.
Correct answer: B — A visual display that consolidates key performance indicators and metrics in a single screen, providing at-a-glance performance monitoring for decision-makers
Explanation: Dashboards: provide real-time, visual summaries of KPIs — using charts, gauges, and traffic light indicators. They support management by exception and rapid decision-making. A, C and D are wrong or too narrow.
Question 279
What is an 'Enterprise Resource Planning' (ERP) system?
Select an option first.
Correct answer: B — An integrated software system that manages and coordinates all business processes across the organisation (finance, HR, production, supply chain, sales) using a single shared database
Explanation: ERP (e.g., SAP, Oracle): one integrated system linking all functions. Eliminates data silos and provides real-time visibility across the organisation. A, C and D are too narrow.
Question 280
What is a 'Customer Relationship Management' (CRM) system?
Select an option first.
Correct answer: B — A system that manages all aspects of the company's interactions with current and potential customers — storing customer data, tracking interactions, supporting sales and marketing, and enabling customer profitability analysis
Explanation: CRM (e.g., Salesforce): centralises customer data to improve relationship management, enable targeted marketing, and support customer profitability analysis. A, C and D are wrong.
Question 281
What is the 'internet of things' (IoT) and how does it impact performance management?
Select an option first.
Correct answer: B — A network of physical devices, sensors, and machines that collect and transmit data in real time — enabling real-time operational performance monitoring, predictive maintenance, and enhanced supply chain visibility
Explanation: IoT: connected sensors (in machines, vehicles, supply chains) generate real-time performance data — enabling predictive maintenance before failures, real-time quality monitoring, and more granular operational KPIs. A, C and D are wrong.
Question 282
What is 'cloud computing' and what are its advantages for management information?
Select an option first.
Correct answer: B — Delivering computing services (storage, processing, software) over the internet — advantages include scalability, cost efficiency, accessibility from any location, automatic updates, and reduced IT infrastructure costs
Explanation: Cloud computing: on-demand access to IT resources. Benefits for PM: real-time data access, scalable analytics, lower upfront investment, and easier collaboration. A, C and D are wrong.
Question 283
What is a 'key risk indicator' (KRI)?
Select an option first.
Correct answer: B — A forward-looking metric that signals potential risks before they materialise — used alongside KPIs to provide early warning of threats to achieving strategic objectives
Explanation: KRIs: proactively signal risk conditions (e.g., customer complaint volume trending up, supplier delivery reliability falling) — complementing lagging KPIs with early-warning signals. A, C and D are wrong.
Question 284
What is 'risk appetite'?
Select an option first.
Correct answer: B — The amount and type of risk an organisation is willing to accept in pursuit of its objectives — reflecting the board's attitude to risk and guiding risk management decisions
Explanation: Risk appetite: the board defines how much risk is acceptable in pursuing strategic goals. It is expressed as boundaries (quantitative or qualitative) — investments or activities beyond appetite are avoided or require board approval. A misdefines it as capacity; C and D are wrong.
Question 285
What is a 'risk register'?
Select an option first.
Correct answer: B — A document that identifies risks, assesses their probability and impact, identifies their owners, and records the controls and mitigation actions in place — a central tool in the risk management process
Explanation: A risk register records: risk description, probability, impact, risk score (P×I), owner, controls in place, and residual risk. It enables structured monitoring and management of identified risks. A, C and D are wrong.
Question 286
What is 'sensitivity analysis' in the context of planning and forecasting?
Select an option first.
Correct answer: B — Testing how much a single key variable (e.g., growth rate, price, cost) must change before the conclusion (e.g., NPV, budget surplus) changes — identifying which assumptions are most critical
Explanation: Sensitivity analysis: varies one input at a time to find the break-even point for each variable. Low sensitivity % = high risk (small change needed to reverse conclusion). A is scenario analysis; C is expected value; D is simulation.
Question 287
What is 'scenario planning' (or scenario analysis)?
Select an option first.
Correct answer: B — Developing multiple plausible future scenarios (e.g., optimistic, base case, pessimistic) by changing several variables simultaneously — enabling organisations to prepare strategies for different possible futures
Explanation: Scenario planning: evaluates the impact of entire 'futures' (not just one variable at a time). Useful for long-range strategic planning in uncertain environments. A is sensitivity; C is budgeting; D is variance analysis.
Question 288
What is 'Monte Carlo simulation'?
Select an option first.
Correct answer: B — A computational technique that runs thousands of iterations of a model, each time randomly sampling from probability distributions for key input variables, to generate a probability distribution of possible outcomes
Explanation: Monte Carlo simulation: used when multiple uncertain inputs interact. The output is a probability distribution of outcomes (e.g., NPV), showing the range and likelihood of results. A is gaming; C is statistics; D is unrelated.
Question 289
What is 'time series analysis' in forecasting?
Select an option first.
Correct answer: B — Analysing historical data points collected at regular time intervals to identify patterns (trends, seasonality, cyclical movements) and project them into the future for forecasting
Explanation: Time series: decompose data into trend (underlying long-run direction), seasonality (regular recurring pattern), cyclical (medium-term economic cycles), and random variation. Use identified patterns to forecast future values. A, C and D are wrong.
Question 290
In time series analysis, what does the 'trend' component represent?
Select an option first.
Correct answer: B — The underlying long-run movement in the data series over time — the general direction (upward, downward, or flat) after removing seasonal and cyclical effects
Explanation: Trend: the smoothed, long-run direction of the series (removing short-term fluctuations). A is random/residual component; C is seasonal component; D is forecast error.
Question 291
What is 'seasonality' in time series analysis?
Select an option first.
Correct answer: B — A regular, predictable pattern that repeats within a fixed period (e.g., annually) — such as higher retail sales in December, or lower construction activity in winter
Explanation: Seasonal component: regular, calendar-based repeating pattern within a year (monthly, quarterly). A is random variation; C is trend; D is cyclical component (multi-year business/economic cycles).
Question 292
What is 'exponential smoothing' in forecasting?
Select an option first.
Correct answer: B — A forecasting technique that assigns exponentially decreasing weights to past observations — more recent data receives a higher weight, making the forecast more responsive to recent changes
Explanation: Exponential smoothing: Ft = α × At-1 + (1-α) × Ft-1. Higher α gives more weight to recent data (more responsive but less stable). Lower α gives more weight to the past (more stable but slower to adapt). A, C and D are wrong.
Question 293
What is the 'moving average' method in time series analysis?
Select an option first.
Correct answer: B — A smoothing technique that calculates the average of a fixed number of recent data points, updated as each new period arrives — removing short-term fluctuations to reveal the underlying trend
Explanation: Moving average: sum of last n periods' data ÷ n. As time moves forward, the oldest observation drops off and the newest is added. Simple but gives equal weight to all included periods. A is wrong; C is exponential smoothing; D is CAGR.
Question 294
What does a 'control chart' show in statistical process control?
Select an option first.
Correct answer: B — A graph that plots process measurements over time against upper and lower control limits — used to distinguish normal (common cause) variation from abnormal (special cause) variation that requires investigation
Explanation: Control charts (Shewhart): show process performance relative to statistically calculated control limits (typically ±3 standard deviations). Points outside limits or patterns within limits signal special cause variation requiring action. A, C and D are wrong.
Question 295
What is 'benchmarking against best practice' and why is it used?
Select an option first.
Correct answer: B — Comparing processes, metrics, and outcomes against recognised leaders or best-in-class organisations to set aspirational performance targets and identify improvement opportunities
Explanation: Best-practice benchmarking: identifies the performance level of the best operators (inside or outside the industry) as a target. It stretches targets beyond what historical trends suggest and drives transformational improvement. A is internal benchmarking; C and D are wrong.
Question 296
What is a 'risk matrix' (probability-impact matrix)?
Select an option first.
Correct answer: B — A two-dimensional grid that plots identified risks by their probability of occurrence (vertical axis) and impact/severity if they occur (horizontal axis) — enabling prioritisation of risk management responses
Explanation: Risk matrix: high-probability, high-impact risks (top-right) are prioritised for mitigation. Low-probability, low-impact risks (bottom-left) may be accepted. It is a visual risk prioritisation tool. A, C and D are wrong.
Question 297
What is the difference between 'systematic risk' and 'unsystematic risk' in the context of a business?
Select an option first.
Correct answer: B — Systematic risk affects the entire economy or market (e.g., recessions, interest rate changes) and cannot be diversified away; unsystematic risk is specific to a company or industry (e.g., management failure, product recall) and can be reduced through diversification
Explanation: This is a fundamental risk distinction from CAPM theory. Systematic (market) risk: affects all businesses and is undiversifiable. Unsystematic (specific): affects individual companies and can be managed or reduced. A, C and D are wrong.
Question 298
What is a 'balanced approach to risk management'?
Select an option first.
Correct answer: B — Accepting that risk and return are linked — taking appropriate risks to achieve strategic objectives while implementing controls to manage them within the organisation's risk appetite, neither avoiding all risk nor ignoring it
Explanation: Effective risk management: accepts risk proportionate to expected return, within the board's risk appetite. Over-caution (A) misses value-creating opportunities; excessive risk-taking (C) threatens survival; D misses the board's governance role.
Question 299
What is 'operational risk'?
Select an option first.
Correct answer: B — The risk of loss resulting from inadequate or failed internal processes, people, systems, or external events — including fraud, IT failures, process breakdowns, and human error
Explanation: Operational risk: Basel Committee definition — risk from failures in processes, people, systems, or external events. A is interest rate risk; C is competitive/market risk; D is customer concentration risk — all separate risk categories.
Question 300
What is 'strategic risk'?
Select an option first.
Correct answer: B — Risks arising from making poor strategic decisions, failing to adapt to changes in the external environment, or choosing the wrong strategy — potentially undermining the organisation's long-term value
Explanation: Strategic risk: incorrect strategy choice, missed environmental changes, failure to execute strategy. Examples: Kodak's failure to respond to digital photography; Blockbuster's failure to adapt to streaming. A is liquidity risk; C is product risk; D is operational risk.
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