1️⃣ Question 1

What happens during the Data Requirements stage?

• ❌ Defining ingredients needed for a meal

• ✅ Identifying the necessary data content, formats, and sources

• ❌ Selecting the programming language

• ❌ Organizing data into columns and rows

Explanation:
Data Requirements clarify what data is needed, what format it should be in, and where it will come from.

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2️⃣ Question 2

What technique is used during data collection to assess data quality and initial insights?

• ❌ Predictive model

• ✅ Data visualization and descriptive statistics

• ❌ Data preparation

• ❌ Data extraction and merging

Explanation:
During collection, you use visual summaries and descriptive stats to understand data quality and patterns.

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3️⃣ Question 3

Purpose of defining data requirements in a healthcare project:

• ❌ Choose best programming language

• ❌ Select appropriate patients

• ❌ Determine budget

• ✅ Identify the necessary data content, formats, and sources

Explanation:
The goal of defining data requirements is to ensure the model receives the right variables, in the right formats, from the right sources.

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4️⃣ Question 4

How to handle missing data sources during data collection?

• ❌ Discard the project

• ❌ Proceed with incomplete data

• ❌ Exclude entire patient cohort

• ✅ Attempt to acquire the missing data after obtaining intermediate results

Explanation:
Sometimes missing data becomes clearer once initial results reveal what’s essential.
You continue the project, evaluate what’s missing, then work to acquire it.

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5️⃣ Question 5

Which stage involves collaborating with DBAs and programmers to extract and merge data?

• ❌ Data Preparation

• ✅ Data Collection

• ❌ Data Understanding

• ❌ Data Requirements

Explanation:
Data Collection is where teams extract, merge, and gather data from multiple systems, often requiring DBA support.

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🧾 Summary Table