What is a key consideration when evaluating a third-party data source for a project?

The data provider's social media presence

The number of employees at the data provider

The licensing and usage restrictions of the data

The color scheme of the data provider's website

A healthcare data team needs to share a dataset of patient records with external researchers while protecting patient privacy. They want to preserve the utility of the data for statistical analysis. Which anonymization technique should they use?

Generalizing fields like age and zip code to broader ranges (e.g., age groups, first three digits of zip).

Masking all patient names and social security numbers with random values.

Adding random noise to all numerical values, including diagnosis codes.

Removing all rows that contain any missing values.

Which of the following is a well-known open-source data repository?

UCI Machine Learning Repository

A data science team is developing a new data pipeline and needs to test it with a dataset that has the same schema and statistical properties as the production data, but without using real customer data. What is the best approach?

Use a public dataset that has a similar schema.

Copy a small sample of the production data and remove personally identifiable information (PII).

Generate synthetic data using a generative model like a GAN trained on the production data.

Use a random number generator to create random values for each field.

CertNexusCertified Data Science Practitioner (CDSP)

Domain 2Objective 1

Objective 2.1 Gather Data Sets CERTIFIED-DATA-SCIENCE-PRACTITIONER Practice Questions (Page 4)

Part of the 2.0 Extracting, Transforming, and Loading Data domain, which accounts for 17-25% of the CERTIFIED-DATA-SCIENCE-PRACTITIONER exam.

39questions here

8free pages

15concepts

17-25%of the exam

15 Concepts in This Objective

Read Data from Various Sources
SQL Query Writing
NoSQL Query Writing
Cloud Storage Integration
First-, Second-, and Third-Party Data Sources
Data Collection Methods
Data Sharing Agreements
Exploring Third-Party Data Availability
Collecting Open-Source Data
Using APIs for Data Collection
Web Scraping
Generating Dummy or Test Data
Generating Randomized Data
Generating Anonymized Data
Generating AI-Generated Synthetic Data

Questions 16–20

16foundation · easy
What is a key consideration when evaluating a third-party data source for a project?
Select an answer first
17foundation · easy
Which Python library is commonly used to generate random numbers from statistical distributions?
Select an answer first
18application · medium
A healthcare data team needs to share a dataset of patient records with external researchers while protecting patient privacy. They want to preserve the utility of the data for statistical analysis. Which anonymization technique should they use?
Select an answer first
19foundation · easy
Which of the following is a well-known open-source data repository?
Select an answer first
20application · medium
A data science team is developing a new data pipeline and needs to test it with a dataset that has the same schema and statistical properties as the production data, but without using real customer data. What is the best approach?
Select an answer first

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