最近收到不少同學來問：Merck 這類傳統醫藥巨頭的 Tech 崗 OA 都考什麼？ 難不難？ 其實，雖然是 healthcare 公司，但 Merck 的技術崗走的是標準 tech company 流程，OA 部分既看演算法基礎，也不乏對代碼細節的考察。 今天就來整理一份 Merck OA 全攻略，幫大家快速摸清套路、提前準備！
Merck OA 流程概覽
Merck 雖然是傳統醫藥公司，但 Merck 的技術招聘流程非常標準化、科技感十足，OA 多通過 Codility 或 HackerRank 等第三方平臺進行，考試體驗與大廠基本一致。
進入考試後會自動開始計時，整體時長通常為 60 到 90 分鐘，一共包含 2 到 3 道程式設計題，題型設計偏向「實用 +嚴謹」。，既考演算法基本功，也強調代碼健壯性、邊界處理和可讀性。
從學員反饋來看，題目難度大多在 LeetCode Medium~Hard 之間，但更偏“工程思維”：比如如何根據輸入數據模擬系統行為、實現某個業務邏輯處理模組等。
平臺操作方面，Codility 和 HackerRank 都會自動檢測語法錯誤、運行樣例測試，並在提交後進行隱藏測試樣例驗證，重點考察代碼在極端數據和邊界場景下是否仍然穩定運行。
此外，有些题目要求你自己设计输入输出格式，这类题目建议尽早与面试平台界面熟悉，避免在题目理解和格式校验上浪费时间。务必预留 10~15 分钟做测试样例验证 + debug 提交，不要把时间卡太死在主逻辑实现上。
Merck OA 真題分享
Question 1
You are the Chief Data Scientist of an e-commerce website. In order to predict how much money a customer will spend on your company’s platform, you build a multiple linear regression model on your customers’ purchasing activity based on 100 variables.
Assume that the number of observations (i.e. data points) greatly exceeds the number of variables. After fitting your data using an Ordinary Least-Squares (OLS) approach, you observe that one of your variables has a p-value of 0.03.
Which of the following can you infer about the relationship between this variable and the amount a customer will spend?
A. The low p-value implies that there may be a link between the variable and the amount a customer will spend, but you cannot say anything about causation
B. The low p-value implies that it is very unlikely that the observed relationship between the variable and the amount a customer will spend is due to randomchance
C. The low p-value implies that the variable explains most of the variation between the amounts that different customers will spend
D. The low p-value does not necessarily say anything significant about the relationship between the variable and the amount a customer will spend
Select one:
- 1 only
- 4 only
- 1 and 2 only
- 2 and 3 only
Question 2
Consider the following two scientific problems:
- Identifying defective airbags
- Announcing whether the atmosphere of some remote planet contains water based on observational evidence.
Which of the following statements is MOST accurate? (Note: Precision is the ratio of true positives to all predicted positives, recall is the ratio of truepositives to all actual positives, and accuracy is the ratio of true positives and negatives to all actual positives and negatives.)
Select one:
A) Airbag testing needs high recall, and water identification needs high precision
B) Airbag testing needs high precision, and water identification needs high recall
C) Both scenarios need to maximize the average of precision and recall
D) Both scenarios need to maximize the accuracy
E) Both scenarios need to maximize the precision
Question 3
Which model best describes the independence assumptions in Naive Bayes inference for features {X₁, X₂} and class label Y?
Select one:
Question 4
You want to build a model that predicts the next line of code you type. You want millions of points of training data, but you only have a few thousand files witha few thousand lines each.
What type of training data would be best to use?
Select one:
A) Your model takes as input an entire text file with one missing line, and outputs a prediction of that missing line
B) Your model takes as input the top k lines of a file and outputs the k + 1st line
C) Your model takes as input the last k lines and either a fake or real previous line, and predicts whether or not that preceding line is real or fake
D) Your model takes as input all the function signatures of the code, and predicts, given random lines from the dataset, whether they appear in the same fileor not
E) Your model takes as input one random line from the code, and tries to predict the line that comes after
Question 5
You are building a decision tree and want to choose the attribute which gives the most informative splitting between two classes, A and B. The nodescorresponding to the attributes are used to classify four data points from A and four data points from B.
If each node has exactly two children, which of the following decisions yields the MOST information gain?
Select one:
A) The one that sends 3 data points from A and 2 data points from B to the left node
B) The one that sends 2 data points from each class to the right node
C) The one that sends 3 data points from each class to the right node
D) The one that sends 0 data points from A to the right node and 3 data points from B to the left node
E) The one that sends 2 data points from A to the right node and 4 data points from B to the left node
Programhelp 的 Merck OA 代寫輔導經驗|無痕協助，全流程穩控
我們輔導過一位來自 UCSD 的碩士同學，他當時備考 Merck 軟體崗，學術背景很不錯，刷題能力也沒問題，但因為平時實戰經驗不足，加上對英文題干理解有壓力，所以特別擔心 OA 的整體節奏。 最終他選擇了我們 Programhelp 的遠端無痕代寫輔導方案，全程由我們技術導師團隊協助完成，保證效率與安全。
整個流程我們都有提前彩排過，從耳機信號、網路環境、攝像頭死角，到答題順序、語音節奏，都做了多輪測試，確保真正做到“無痕執行 + 全程穩控”。 這位 UCSD 的同學最終在 70 多分鐘內順利完成所有題目，代碼通過率高，格式工整，拿下了 Merck 的 VO 邀約，整個 OA 過程沒有留下任何異常記錄。
不要再孤軍奮戰
如果你也在準備 Merck 或其他 biotech / 大廠 OA，擔心英文題干、演算法難度或時間壓力，歡迎聯絡我們 。 我們提供一對一定製的遠端無痕代寫 + 語音引導協助服務，覆蓋 OA、VO 全流程，讓你考試不慌、結果穩定。
