
CertNexusCertified Data Science Practitioner (CDSP)
Domain 2Objective 2
Objective 2.2 Clean Data Sets CERTIFIED-DATA-SCIENCE-PRACTITIONER Practice Questions (Page 1)
Part of the 2.0 Extracting, Transforming, and Loading Data domain, which accounts for 17-25% of the CERTIFIED-DATA-SCIENCE-PRACTITIONER exam.
51questions here
11free pages
18concepts
17-25%of the exam
Questions 1–5
- 1
Which technique is commonly used to detect corrupted data in a dataset?
Select an answer first - 2
A team is building a model to predict customer satisfaction from survey responses. The survey was conducted online, and the team notices that the responses are overwhelmingly positive. Upon investigation, they find that the survey link was primarily shared on a customer loyalty forum. What is the most likely source of bias in this data?
Select an answer first - 3
Which visualization is commonly used to detect outliers in a single variable?
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What is the difference between removing duplicates and deduplicating data?
Select an answer first - 5
A data analyst is cleaning a dataset containing personal health information. The data governance policy states that all cleaning steps must be logged with the date, the person performing the step, and the rationale. The analyst is about to impute missing values for 'blood_pressure'. What is the most important action to take before performing the imputation?
Select an answer first
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