# Quiz 47

**Let's apply what you have learned so far to a specific scenario. Choose the correct response.**

You are tasked with creating a message schedule for a 512-bit message block in the RIPEMD-160 hash function. What is the correct approach to generate the 16 32-bit words required for the schedule?

**Type all answers and select the correct one**

* [x] Divide the 512-bit message block into 16 segments of 32 bits each, and use the Little-Endian convention to interpret each segment as an unsigned 32-bit integer.
* [ ] Divide the 512-bit message block into 16 segments of 32 bits each, and use the Big-Endian convention to interpret each segment as an unsigned 32-bit integer.
* [ ] Divide the 512-bit message block into 32 segments of 16 bits each, and use the Little-Endian convention to interpret each segment as an unsigned 16-bit integer.
* [ ] Divide the 512-bit message block into 32 segments of 16 bits each, and use the Big-Endian convention to interpret each segment as an unsigned 16-bit integer.

**Note to Learners**

To create the message schedule for RIPEMD-160, the 512-bit message block is divided into 16 segments of 32 bits each. Each segment is then interpreted as an unsigned 32-bit integer using the Little-Endian convention. This ensures the correct representation of the data for further processing in the hash function.

&#x20;

To learn more about it, you can follow the course [Walkthrough Implementation of RIPEMD-160 in Golang](https://bsvblockchain.360learning.com/course/play/68beaa72463d6d5e89903937)


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://hub.bsvblockchain.org/higher-learning/bsv-academy/bitcoin-primitives-hash-functions/quiz-bitcoin-hash-functions/quiz-47.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
