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Graded Quiz – Libraries, APIs, Data Sets, Models :Tools for Data Science (IBM Data Science Professional Certificate) Answers 2025

1️⃣ Question 1

Which library is used for machine learning?

  • Scikit-learn

  • ❌ Pandas

  • ❌ NumPy

  • ❌ Matplotlib

Explanation:
Scikit-learn is one of the most widely used machine learning libraries in Python.


2️⃣ Question 2

Main purpose of an API?

  • Allow communication between software components

  • ❌ Facilitate communication between hardware components

  • ❌ Create graphical representations of data

  • ❌ Design user interfaces

Explanation:
APIs act as a bridge, enabling software systems to interact.


3️⃣ Question 3

In REST API architecture, what does a client typically receive?

  • JSON file

  • ❌ HTML file

  • ❌ Binary data

  • ❌ XML document

Explanation:
Most modern REST APIs return data in JSON format because it’s lightweight and easy to parse.


4️⃣ Question 4

What is a structured collection of data?

  • ❌ Data Grid

  • ❌ Data Store

  • ❌ Data Format

  • Data Set

Explanation:
A dataset is a structured, organized collection of related data.


5️⃣ Question 5

What resources does DAX (Data Asset eXchange) provide?

  • ❌ Only raw data files

  • Curated open datasets + tutorial notebooks

  • ❌ Proprietary data

  • ❌ Only pre-trained models

Explanation:
DAX offers curated datasets with documentation and example notebooks.


6️⃣ Question 6

Primary task of model training?

  • ❌ Preparing the data

  • Identifying patterns in the data

  • ❌ Making predictions

  • ❌ Evaluating the model

Explanation:
Model training is the process where the algorithm learns patterns from data.


7️⃣ Question 7

Which model predicts a numeric value?

  • Regression

  • ❌ Clustering

  • ❌ Classification

  • ❌ Reinforcement

Explanation:
Regression models predict continuous numeric outputs.


8️⃣ Question 8

Which statement about deep learning is true?

  • ❌ No specialized hardware needed

  • Deep learning models emulate the human brain’s problem-solving

  • ❌ Only used for NLP

  • ❌ Require small datasets

Explanation:
Deep learning uses neural networks inspired by brain structure.


9️⃣ Question 9

Key difference between CDLA-Sharing and CDLA-Permissive?

  • ❌ CDLA-Sharing does not allow modification

  • CDLA-Permissive allows private use of modifications

  • ❌ CDLA-Sharing is academic-only

  • ❌ CDLA-Permissive requires modifications to be shared

Explanation:
CDLA-Permissive gives more freedom, including private modifications, unlike Sharing.


🔟 Question 10

Which type of learning involves rewards or penalties?

  • ❌ Supervised Learning

  • ❌ Regression Learning

  • ❌ Unsupervised Learning

  • Reinforcement Learning

Explanation:
Reinforcement learning trains models through reward–penalty feedback.


🧾 Summary Table

Q Correct Answer Key Concept
1 Scikit-learn ML library
2 Communication between software components API purpose
3 JSON REST response format
4 Data Set Structured collection
5 Curated datasets + notebooks DAX offerings
6 Identifying patterns Model training
7 Regression Predicting numeric values
8 Emulates human brain Deep learning basics
9 CDLA-Permissive allows private modifications Data licenses
10 Reinforcement Learning Reward-based learning