# 떠먹 vs SMAT 모듈A | 2026년 대비 문제

The clearest difference is price: 떠먹 at Free against SMAT 모듈A | 2026년 대비 문제's $1.99. 떠먹 also leads on iOS requirement (15.0 vs 17.0). On ads, in-app purchases and device support there is nothing between them.

떠먹 is free to download; SMAT 모듈A | 2026년 대비 문제 costs $1.99 up front. Neither carries in-app purchases, so what you see is what you pay.

## The numbers

| Metric | 떠먹 | SMAT 모듈A | 2026년 대비 문제 |
| --- | --- | --- |
| Price | **Free** | $1.99 |
| Positive reviews | 100.0% of reviews | — |
| In-app purchases | No | No |
| Ads | No | No |
| Update frequency | Every 3 days | — |
| Monetization | Free | — |
| Size | 46 MB | 5 MB |
| Requires iOS | **15.0** | 17.0 |
| Devices | **iPhone, iPad, iPod** | iPhone, iPad |
| Age rating | 4+ | 4+ |
| Developer | [HONG IK LEE](https://appshunter.io/developer/1819512861) | [Masaki Kobayashi](https://appshunter.io/developer/1882180437) |

## What reviewers say

### 떠먹

[App page](https://appshunter.io/ios/app/2/id6766482431)

This app provides past exam questions and mock tests for the Computer Literacy Level 2 certification. It features automatic saving of incorrect answers and concise summaries of key concepts to aid in efficient study and exam preparation.

**Highlights:** Latest past exam questions by year, CBT mock tests simulating exam environment, Automatic saving of incorrect answers, Concise summaries of key exam concepts, Yearly question categorization

**Features:** macOS Compatibility, Vision Pro support

**In-app purchases:** none


### SMAT 모듈A | 2026년 대비 문제

[App page](https://appshunter.io/ios/app/smat-a-2026/id6782001010)

**Features:** macOS Compatibility, Vision Pro support

**In-app purchases:** none


## Frequently asked questions

### Is 떠먹 free?

떠먹 is free to download, with no in-app purchases.

### Is SMAT 모듈A | 2026년 대비 문제 free?

SMAT 모듈A | 2026년 대비 문제 costs $1.99, with no in-app purchases.

### Do 떠먹 or SMAT 모듈A | 2026년 대비 문제 have ads?

Neither 떠먹 nor SMAT 모듈A | 2026년 대비 문제 shows ads.

---

*Compared by [AppsHunter](https://appshunter.io/) from daily US App Store data. Review summaries are generated from verbatim App Store reviews.*