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WGU D467 Exploring Data Exam UPDATED ACTUAL QUESTIONS AND CORRECT ANSWERS

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WGU D467 Exploring Data Exam UPDATED ACTUAL QUESTIONS AND CORRECT ANSWERS Data types - CORRECT ANSWER discrete, continuous). Data structures - CORRECT ANSWER wide, long). Data formats - CORRECT ANSWER Data sources - CORRECT ANSWER open data). Different categories of data (e.g., quantitative, qualitative, How data is organized (e.g., structured, unstructured, How data is presented (e.g., spreadsheets, databases). Origin of data (e.g., first-party, second-party, third-party, Responsible data collection - CORRECT ANSWER credibility, and ethical practices. Bias in data - CORRECT ANSWER Factors to consider, including bias, Types of bias (e.g., sampling bias, interpretation bias) and how to mitigate them. Consent - CORRECT ANSWER Obtaining permission for data use. Data anonymization - CORRECT ANSWER Protecting sensitive data. Personally Identifiable Information (PII) - CORRECT ANSWER identify an individual. Open data - CORRECT ANSWER Data that can be used to Free access, usage, and sharing of data. Data security - CORRECT ANSWER Protecting data from unauthorized access or misuse. Privacy principles - CORRECT ANSWER to data access. Data transformation - CORRECT ANSWER Data organization - CORRECT ANSWER Metadata - CORRECT ANSWER Freedom from inappropriate data use and the right

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WGU D467 Exploring Data Exam
UPDATED ACTUAL QUESTIONS AND
CORRECT ANSWERS
Data types - CORRECT ANSWER Different categories of data (e.g., quantitative, qualitative,
discrete, continuous).



Data structures - CORRECT ANSWER How data is organized (e.g., structured, unstructured,
wide, long).



Data formats - CORRECT ANSWER How data is presented (e.g., spreadsheets, databases).



Data sources - CORRECT ANSWER Origin of data (e.g., first-party, second-party, third-party,
open data).



Responsible data collection - CORRECT ANSWER Factors to consider, including bias,
credibility, and ethical practices.



Bias in data - CORRECT ANSWER Types of bias (e.g., sampling bias, interpretation bias) and
how to mitigate them.



Consent - CORRECT ANSWER Obtaining permission for data use.



Data anonymization - CORRECT ANSWER Protecting sensitive data.



Personally Identifiable Information (PII) - CORRECT ANSWER Data that can be used to
identify an individual.



Open data - CORRECT ANSWER Free access, usage, and sharing of data.



Data security - CORRECT ANSWER Protecting data from unauthorized access or misuse.

, Privacy principles - CORRECT ANSWER Freedom from inappropriate data use and the right
to data access.



Data transformation - CORRECT ANSWER Changing data's format or structure.



Data organization - CORRECT ANSWER Techniques for managing data.



Metadata - CORRECT ANSWER Data about data.



Data governance - CORRECT ANSWER Formal management of data assets.



Databases - CORRECT ANSWER Relational databases, tables, primary/foreign keys.



Data interpretation - CORRECT ANSWER Drawing insights from data.



Statistical concepts - CORRECT ANSWER Statistical power, significance, margin of error.



Data visualization - CORRECT ANSWER Presenting data visually (e.g., Venn diagrams).



Spreadsheet functions - CORRECT ANSWER Sorting, filtering, freeze headers, etc.



SQL basics - CORRECT ANSWER SELECT, WHERE, DISTINCT, CAST, COALESCE,
TRIM, CONCAT, LENGTH functions, and their uses.



Data management tools - CORRECT ANSWER Version control, foldering, logical hierarchy.



Data exploration - CORRECT ANSWER The initial process of reviewing and understanding a
dataset's content and structure.

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