Civil Service Fast Stream Assessment Scheme-Specific Technical Assessment Syllabus

Scheme-Specific Technical Assessment syllabus — full chapter and topic list

Expand any chapter to see its topics and sub-topics. This is the whole examinable outline for Scheme-Specific Technical Assessment in Civil Service Fast Stream Assessment, not a summary of it.

1. 1

   Analytical Schemes Technical Stages

   4 topics

   • Economics: microeconomics, macroeconomics and policy application
   • Statistics: probability, inference and survey methods
   • Operational Research: modelling and optimisation
   • Social Research: qualitative and quantitative methods
     • Research design and ethics
     • Evaluation frameworks (Magenta Book)
2. 2

   Digital, Data and Technology (DDaT) Schemes

   4 topics

   • Digital and Technology Fast Stream technical interview
   • Data Fast Stream: data engineering and analysis competencies
   • Cyber Fast Stream: security fundamentals
     • Threat and risk concepts
     • Security governance and standards
   • User-centred design and agile delivery awareness
3. 3

   Corporate and Delivery Schemes

   4 topics

   • Commercial: procurement and contract management foundations
   • Finance: accountancy and public finance routes (CCAB)
   • Project Delivery: lifecycle and methodologies
     • Business case development and the Green Book
     • Risk, schedule and benefits management
   • Human Resources: people profession capability framework
4. 4

   Diplomatic and Development Scheme

   4 topics

   • Foreign, Commonwealth and Development Office context
   • International affairs and policy awareness
   • Additional FCDO-specific assessments and clearance
   • Language aptitude and overseas posting expectations

Scheme-Specific Technical Assessment flashcards for Civil Service Fast Stream Assessment

22 of 51 cards from the Scheme-Specific Technical Assessment deck — real questions with worked answers.

1. In microeconomics, what does price elasticity of demand (PED) measure, and what is its formula?

   PED measures the responsiveness of quantity demanded to a change in price. $$PED = \frac{\%\,\Delta Q_d}{\%\,\Delta P}$$ Demand is elastic if $|PED| > 1$, inelastic if $|PED| < 1$, and unit elastic if $|PED| = 1$.

2. Define a market failure and list its four main types studied in microeconomics.

   A market failure occurs when the free market fails to allocate resources efficiently. The four main types are: (1) externalities, (2) public goods, (3) market power/monopoly, and (4) information asymmetry.

3. What distinguishes a public good from a private good?

   A public good is non-rival (one person's consumption does not reduce availability to others) and non-excludable (you cannot prevent non-payers from using it), e.g. national defence. A private good is both rival and excludable.

4. State the equation for aggregate demand (AD) in macroeconomics and name its components.

   $$AD = C + I + G + (X - M)$$ where $C$ = consumption, $I$ = investment, $G$ = government spending, $X$ = exports and $M$ = imports (so $X-M$ is net exports).

5. What is the difference between fiscal policy and monetary policy?

   Fiscal policy uses government spending and taxation (set by HM Treasury) to influence the economy. Monetary policy uses interest rates and the money supply (set by the Bank of England's Monetary Policy Committee) to control inflation and support growth.

6. What is the UK's official inflation target and who is responsible for meeting it?

   The UK target is 2% CPI inflation, set by the government. The Bank of England's Monetary Policy Committee (MPC) is responsible for meeting it; if inflation deviates by more than 1 percentage point either side, the Governor must write an open letter to the Chancellor.

7. In probability, state Bayes' theorem.

   $$P(A \mid B) = \frac{P(B \mid A)\,P(A)}{P(B)}$$ It updates the probability of hypothesis $A$ given observed evidence $B$.

8. What is the difference between a Type I and a Type II error in hypothesis testing?

   A Type I error is rejecting a true null hypothesis (a false positive), with probability $\alpha$. A Type II error is failing to reject a false null hypothesis (a false negative), with probability $\beta$; statistical power equals $1-\beta$.

9. Define the p-value in statistical inference.

   The p-value is the probability of observing a test statistic at least as extreme as the one obtained, assuming the null hypothesis is true. A small p-value (typically $p < 0.05$) provides evidence against the null hypothesis.

10. State the formula for a 95% confidence interval for a population mean (large sample, known $\sigma$).

    $$\bar{x} \pm 1.96 \cdot \frac{\sigma}{\sqrt{n}}$$ where $\bar{x}$ is the sample mean, $\sigma$ the population standard deviation and $n$ the sample size.

11. Compare simple random sampling with stratified sampling in survey methods.

    Simple random sampling gives every unit an equal chance of selection. Stratified sampling divides the population into homogeneous subgroups (strata) and samples within each, improving precision and ensuring representation of key subgroups.

12. What is the Central Limit Theorem and why is it important?

    The Central Limit Theorem states that the sampling distribution of the sample mean approaches a normal distribution as sample size $n$ grows, regardless of the population's distribution. It justifies using normal-based inference for large samples.

13. In Operational Research, what is linear programming used for?

    Linear programming optimises a linear objective function subject to linear equality/inequality constraints. It is used to maximise profit or minimise cost given limited resources, e.g. $\max\, z = c^{T}x$ subject to $Ax \leq b,\ x \geq 0$.

14. What is the objective of a queuing (waiting line) model in Operational Research?

    A queuing model analyses waiting lines to balance the cost of providing service against the cost of customers waiting, predicting metrics such as average queue length, waiting time, and server utilisation (e.g. via the M/M/1 model).

15. Define the term 'feasible region' in an optimisation problem.

    The feasible region is the set of all points (solutions) that satisfy every constraint of the problem simultaneously. For a linear program the optimum lies at a vertex (corner point) of this region.

16. What is a Monte Carlo simulation and when is it used in Operational Research?

    A Monte Carlo simulation uses repeated random sampling from probability distributions to model the behaviour of complex, uncertain systems. It is used when analytical solutions are intractable, e.g. estimating risk, project completion times, or expected outcomes.

17. In social research, what is the key distinction between qualitative and quantitative methods?

    Qualitative methods explore meanings, experiences and 'why/how' through non-numerical data (interviews, focus groups, ethnography). Quantitative methods measure and test through numerical data and statistical analysis to answer 'how many/how much' and establish generalisable patterns.

18. What is 'triangulation' in social research and what does it improve?

    Triangulation is the use of multiple methods, data sources, theories or investigators to study a phenomenon. It improves validity and credibility by cross-checking findings and reducing the bias of any single approach.

19. Compare a structured, semi-structured and unstructured interview.

    A structured interview uses fixed, identical questions for comparability. A semi-structured interview uses a topic guide with flexibility to probe. An unstructured interview is open and conversational, led by the respondent, maximising depth at the cost of comparability.

20. What is 'thematic analysis' in qualitative research?

    Thematic analysis is a method for identifying, analysing and reporting patterns (themes) within qualitative data. It typically involves familiarisation, coding, generating themes, reviewing them, defining them, and writing up.

21. For the Digital and Technology Fast Stream interview, what does the acronym API stand for and what is its function?

    API stands for Application Programming Interface. It is a defined set of rules and protocols allowing different software systems to communicate and exchange data with each other, abstracting away internal implementation details.

22. Explain the difference between SQL and NoSQL databases.

    SQL (relational) databases store structured data in tables with fixed schemas and use SQL, favouring ACID transactions. NoSQL databases (document, key-value, column, graph) use flexible schemas, scale horizontally, and suit unstructured or rapidly changing large-scale data.

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