Free CPA TCP (Tax Compliance & Planning) Entity Tax Planning Practice Questions

Entity tax planning on the CPA TCP exam covers entity selection and conversion strategies, compensation planning (reasonable compensation, deferred compensation), retirement plan optimization, and tax-efficient business structuring.

179 Questions
65 Easy
63 Medium
51 Hard
2026 Syllabus

Sample Questions

Question 1 Easy
What is the maximum annual contribution a self-employed individual can make to a SEP-IRA for 2025?
Solution
C is correct.

A self-employed individual may contribute to a SEP-IRA up to 25% of net self-employment income (compensation), after adjusting for the deduction for one-half of self-employment tax and the SEP contribution itself. The effective rate is approximately 20% of net self-employment earnings before the SEP deduction. The dollar cap for 2025 is 70,000 (indexed for inflation).
Question 2 Medium
An employer establishes a Section 125 cafeteria plan. Which of the following benefits can be offered through the cafeteria plan on a pre-tax basis?
Solution
A is correct.

Under IRC Section 125, a cafeteria plan allows employees to choose between cash (taxable salary) and qualified benefits on a pre-tax basis. Qualified benefits that can be offered include health insurance premiums, dental and vision coverage, dependent care assistance (up to 5,000 per year under Section 129), health FSA contributions (up to 3,300 for 2025), adoption assistance, and certain other benefits.
Question 3 Hard
An actuary fits an AR(2) model to a stationary time series: Yt=4+0.5Yt−1−0.2Yt−2+ϵtY_t = 4 + 0.5 Y_{t-1} - 0.2 Y_{t-2} + \epsilon_t, where ϵt∼N(0,σ2)\epsilon_t \sim N(0, \sigma^2). What is the unconditional mean μ=E[Yt]\mu = E[Y_t] of this process?
Solution
C is correct.

For a stationary AR(2) process Yt=c+ϕ1Yt−1+ϕ2Yt−2+ϵtY_t = c + \phi_1 Y_{t-1} + \phi_2 Y_{t-2} + \epsilon_t, taking expectations of both sides and using E[Yt]=E[Yt−1]=E[Yt−2]=μE[Y_t] = E[Y_{t-1}] = E[Y_{t-2}] = \mu and E[ϵt]=0E[\epsilon_t] = 0:
μ=c+ϕ1μ+ϕ2μ\mu = c + \phi_1 \mu + \phi_2 \mu
μ(1−ϕ1−ϕ2)=c\mu(1 - \phi_1 - \phi_2) = c
μ=c1−ϕ1−ϕ2=41−0.5−(−0.2)=41−0.5+0.2=40.7=5.714\mu = \frac{c}{1 - \phi_1 - \phi_2} = \frac{4}{1 - 0.5 - (-0.2)} = \frac{4}{1 - 0.5 + 0.2} = \frac{4}{0.7} = 5.714

About FreeFellow

FreeFellow is an AI-native exam prep platform for actuarial (SOA & CAS), CFA, CFP, CPA, CAIA, GARP FRM, IRS Enrolled Agent, IMA CMA, and FINRA / NASAA securities licensing candidates — built around modern AI as a core capability rather than as a bolt-on. Every lesson ships with AI-narrated audio. Every constructed-response item has a copy-to-AI prompt builder so candidates can paste their answer into their own ChatGPT or Claude for self-graded feedback. Fellow members get instant AI grading on essays against the official rubric (currently CFA Level III, expanding to other essay-bearing sections).

The 70% you need to pass — question bank, written solutions, lessons, formula sheet, mixed practice, readiness tracking — is free forever, with no trial period and no credit card. Become a Fellow ($59/quarter or $149/year per track) to unlock mock exams, flashcards with spaced repetition, performance analytics, AI essay grading, and a personalized study plan.