CodePath Technical Interview Prep Assessment: Course Placement and Preparation

The CodePath Technical Interview Prep assessment is course-admission prework, not an employer's job interview. Prepare by checking your current application instructions, reviewing core data structures, and practising complete solutions under a timer. A memorised collection of supposed test answers is neither a reliable preparation plan nor an honest way to establish your starting level.

This guide separates the published format from preparation advice. The exercises below are original practice tasks. They are not copied from CodePath's private assessment, and they do not predict the questions you will receive.

What is the current CodePath TIP assessment format?

As checked on September 23, 2026, CodePath's official Admissions Prework Toolkit describes Technical Interview Prep prework as a 120-minute HackerRank assessment with six coding challenges and three multiple-choice questions. It names linked lists and hash tables among the data-structure topics, states that the timer runs continuously, and says retakes are not available. Use your current dashboard and invitation if cohort instructions differ. Official prework requirements.

Question	What to establish before starting
Which assessment is this?	Technical Interview Prep, not another CodePath course
How much time do I have?	The limit and deadline in your own invitation
What can I use?	Permitted languages, documentation, and assistance rules
Can I pause or retake?	The current continuous-timer and retake policy
Which account should I use?	The account/email specified for your application

Do not infer a passing score, exact difficulty distribution, or placement formula from the number of questions. Unless CodePath publishes a rule for your cohort, treat it as unknown. The most useful preparation is to improve the skills being assessed and submit work that represents your own understanding.

What should I do before clicking Start?

1. Read the entire assignment from your application dashboard.
2. Reserve an uninterrupted block and check power, internet access, and your workspace.
3. Confirm permitted programming languages and practise in the one you know best.
4. Use any official unscored platform practice offered for familiarisation.
5. Resolve access or accommodation questions before launching the timed attempt.

Starting a one-attempt test just to inspect its questions is risky when the clock cannot be paused. Platform familiarisation and assessment preview are different activities. Check that you can run a function, read test feedback, and understand the expected input/output interface in practice before the real timer starts.

Which data structures should I review first?

Begin with arrays, strings, linked lists, hash maps, and sets. For each structure, practise choosing it from the operation required. If a task repeatedly asks whether a value has appeared, a set may fit. If it asks how many times each value appears, use a count map. If you must alter linked-list connections, draw the nodes before updating pointers.

Skill	Practice task	Common mistake
Array scanning	Track the best value seen so far	Incorrect initial value for all-negative input
Frequency maps	Count values and apply a tie rule	Assuming map order matches the required answer
Linked-list updates	Reverse or remove nodes	Losing the unprocessed remainder
Boundary testing	Empty, single-item, and duplicate cases	Assuming sample inputs cover all constraints
Complexity	Count scans and extra storage	Ignoring repeated work inside a loop

Original practice: return the first value that occurs once

Given a list of integers, return the first value whose total frequency is one. Return None when no such value exists. The word “first” means earliest in the input, not smallest numerically. State that contract before coding.

def first_unique(values):
    counts = {}
    for value in values:
        counts[value] = counts.get(value, 0) + 1
    for value in values:
        if counts[value] == 1:
            return value
    return None

For [4, 2, 4, 7, 2], the result is 7. For [8, 8] and an empty list, it is None. Two passes preserve the required input order while using the map for counts. Under ordinary average-case hash-map assumptions, time is O(n) and auxiliary space is O(k), where k is the number of distinct values.

A useful follow-up changes the requirement to “the smallest value occurring once.” The counting step can stay, but returning the first unique input value no longer answers the question. This small change tests whether you understand the contract instead of memorising a template.

Original practice: reverse a singly linked list

Assume each node has a next reference and the list is finite and acyclic. Preserve access to the remaining list before reversing a link:

def reverse_list(head):
    previous = None
    current = head
    while current is not None:
        following = current.next
        current.next = previous
        previous = current
        current = following
    return previous

Trace A -> B -> C on paper. After the first iteration, A points to null, previous refers to A, and current refers to B. Saving following before rewriting the link prevents the rest of the list from being lost.

The loop visits each node once, so it takes O(n) time and O(1) extra space. An empty list returns null; a one-node list remains a one-node list. The function mutates the existing connections, which should be stated explicitly if the caller expects the original order to remain available.

How do I move from a sample-passing solution to a complete one?

Build a small test matrix before spending time on random changes. For an array problem, test no elements, one element, repeated values, negative values when allowed, and a largest-size case. For a linked list, include an empty head and a change involving the first or last node.

When a test fails, write the expected state after each step. A pointer diagram or frequency table is usually more useful than adding print statements everywhere. Fix the underlying rule and rerun earlier cases so that a repair does not introduce a new boundary failure.

Pay attention to output contracts too. Returning an index instead of a value, printing instead of returning, or mutating an input that must be preserved can fail a task even when the core algorithm seems reasonable.

How should I pace the assessment?

Use a full-length mock before the real attempt. If the interface permits moving between questions, first identify the tasks you can complete reliably. Reserve a final review block and avoid spending the entire session polishing one difficult solution while leaving straightforward questions unread.

As a practice checkpoint, ask after several unproductive minutes: “Can I state the invariant? Can I construct a failing example? Is my approach compatible with the largest input?” If the answer remains unclear, move to another task when allowed and return later. This is a preparation strategy, not a claim about CodePath's scoring or partial-credit rules.

For multiple-choice questions, distinguish guaranteed behavior from typical behavior. Read every option and check assumptions such as sorted input, uniqueness, and average versus worst-case complexity. Do not guess assessment content from a different course's public guide.

A five-day preparation plan

Day	Focus	Output
1	Arrays, strings, and contracts	Three solved tasks with explicit edge cases
2	Hash maps and sets	A counting task and a membership task, with complexity
3	Linked lists	Pointer traces for reversal and deletion
4	Timed mixed practice	A realistic rehearsal and error log
5	Repair weaknesses and check setup	One corrected solution per recurring mistake

Adjust the schedule to your starting point. If basic traversal is still difficult, spend more time there before adding advanced topics. The aim is reliable fundamentals, not exhausting yourself the night before the assessment.

What happens after the CodePath assessment?

Follow the dashboard for completion status, requested actions, and communications about your application. Do not assume the assessment guarantees admission, a particular course level, a job interview, or a referral. Course placement and employer hiring are separate decisions.

If a technical problem occurred, record the time and error message and use the support route in your official instructions. Do not share private assessment questions publicly or create another account to bypass an attempt limit.

Frequently asked questions

Which programming language is best? Choose an allowed language in which you can implement and test the required structures confidently. Confirm availability in your own invitation.

Should I memorise CodePath assessment answers? No. Practise transferable patterns and original problems. Memorisation is fragile when constraints or input contracts change.

Can I use an AI assistant during the test? Follow the explicit assessment rules. Preparation assistance before the test does not establish permission to use it during a graded attempt.

How do I know whether I am ready? You can explain a solution, implement it without a template, test boundary cases, and justify its complexity under a timer. That is a better signal than recognising a problem title.