Master the GRE: Medium-Level Audio Quiz Quiz

1. Guessing Vocabulary Charge

   On the GRE, when you do not know a vocabulary word, what is a practical strategy to improve your chances of choosing the correct answer?

   1. Guessing the word's charge as positive or negative
   2. Choosing the longest word
   3. Selecting the answer at random
   4. Always guessing the first option
   5. Looking for words with double vowels

2. Identifying Wrong Answers

   What GRE test-taking skill can help you answer vocabulary questions even if you do not know the right answer?

   1. Identifying wrong answers
   2. Memorizing all dictionary words
   3. Reciting word origins
   4. Focusing only on context clues
   5. Rewriting the question

3. Clarifying Interview Questions

   Why is it important to ask clarifying questions in a technical interview or GRE-like problem scenario?

   1. To ensure you are solving the right problem
   2. To delay answering
   3. To impress with your vocabulary
   4. To avoid coding
   5. To memorize the interviewer’s name

4. Accepting Helper Functions

   If you are given a coding problem that involves string manipulation, what is a good strategy to save time during an interview or GRE-like coding section?

   1. Ask to use a helper function and define its behavior
   2. Write all code from scratch always
   3. Ignore edge cases
   4. Focus only on performance first
   5. Assume any function will work without clarification

5. Tine Management During Problem Solving

   What is a common mistake to avoid when managing your time during GRE-style or technical interviews?

   1. Asking too many questions and not coding enough
   2. Writing code before reading questions
   3. Choosing the hardest problems first
   4. Using pseudocode sparingly
   5. Guessing without reading the problem

6. Best Practice for Incomplete Code

   If you realize your initial code solution during practice is suboptimal, what is the best next step?

   1. Document where to optimize and move on
   2. Try to make it perfect before moving on
   3. Erase your code and restart
   4. Ignore inefficiencies
   5. Present only pseudocode

7. Testing Your Solution

   After coding a solution in a GRE-style coding task, what should you do next to verify correctness?

   1. Manually test your code with different inputs
   2. Submit your code immediately
   3. Ask for help before testing
   4. Skip testing to save time
   5. Only test the easiest input

8. Optimization Approach

   When you have time remaining after solving a coding problem, what is a productive action to take next?

   1. Ask the interviewer which part they prefer you optimize
   2. Rewrite all your code
   3. Invent a new problem
   4. Move on to an entirely different question
   5. Guess the complexity without explanation

9. Computational Complexity

   If your code contains a loop that iterates over a list, what is its typical time complexity?

   1. O(n)
   2. O(n^2)
   3. O(1)
   4. O(log n)
   5. O(n logn)

10. Preprocessing for Efficiency

    In a GRE or technical interview, what is an advantage of preprocessing data before handling queries?

    1. It can reduce complex operations to O(1) lookups
    2. It always saves memory
    3. It makes code harder to understand
    4. It eliminates the need to test
    5. It ensures every operation is O(n^2)