What does 'parsing' data mean in the context of data cleaning?

Combining multiple datasets into one

Removing all null values from the dataset

Visualizing data to find patterns

Converting raw data into a structured format suitable for analysis

In the context of data cleaning, what is the primary purpose of identifying and eliminating irregularities in a dataset?

To make the data conform to a specific database schema

To reduce the storage size of the dataset

To ensure data integrity and improve the reliability of analysis

To increase the number of records available for training

What is 'sampling bias' in the context of machine learning?

Bias caused by measurement errors in data collection

Bias from the order in which data is processed

Bias from the model's preference for certain features

Bias introduced when the training data is not representative of the population

Which of the following is a common source of bias in a machine learning dataset?

Using a random seed in model training

CertNexusCertified Data Science Practitioner (CDSP)

Domain 2Objective 2

Objective 2.2 Clean Data Sets CERTIFIED-DATA-SCIENCE-PRACTITIONER Practice Questions (Page 6)

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

18 Concepts in This Objective

Identify and eliminate irregularities in data
Handle nulls
Remove duplicates
Correct corrupt values
Parse data
Check for corrupted data
Correct data format
Deduplicate data
Apply risk and bias mitigation techniques
Understand common forms of ML bias
Identify sources of bias
Use exploratory data analysis for outlier detection
Assess data quality
Use data auditing techniques
Mitigate bias impact
Evaluate bias outcomes
Monitor and improve data cleaning process
Adhere to data governance rules

Questions 26–30

26foundation · easy
What does 'parsing' data mean in the context of data cleaning?
Select an answer first
27foundation · easy
In the context of data cleaning, what is the primary purpose of identifying and eliminating irregularities in a dataset?
Select an answer first
28foundation · easy
What is 'sampling bias' in the context of machine learning?
Select an answer first
29foundation · easy
Which of the following is a common source of bias in a machine learning dataset?
Select an answer first
30foundation · easy
Which of the following is a bias mitigation strategy that involves creating new data points?
Select an answer first

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