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WGU D467 Exploring Data – 100+ Updated Q&As | Data Types, Metadata, SQL, Modeling, Ethics, Bias & Cleaning | 2025/2026 | Western Governors University

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This WGU D467 Exploring Data 2025/2026 study guide includes over 100 fully answered questions, organized to support students preparing for performance assessments in data analysis, modeling, and ethics at Western Governors University. The guide covers data structures, quality principles, and practical tools used by analysts in professional environments. You’ll find in-depth explanations on: Types of Data: qualitative vs. quantitative, structured vs. unstructured, discrete vs. continuous Data Collection & Sampling: first-, second-, third-party data; internal vs. external sources; unbiased sampling; population vs. sample Metadata & Modeling: descriptive, structural, and administrative metadata; data elements; UML diagrams; ERDs; primary and foreign keys SQL & Spreadsheet Tools: SELECT, WHERE, COUNT, INSERT, JOIN, VLOOKUP, CONCAT, LEN, TRIM, COUNTIF, conditional formatting Data Transformation & Cleaning: normalization, trimming, validation, deduplication, compatibility, completeness, and accuracy Ethical Practices: GDPR, data anonymization, PII, consent, fairness, bias types (confirmation, observer, sampling), open data principles Security & Governance: encryption, tokenization, data integrity, version control, data replication, constraints, and access control Statistical Concepts: margin of error, confidence level, statistical power, dirty data identification This guide is ideal for learners seeking competency in applied data literacy and foundational analytics, including real-world techniques from data engineers, analysts, and data governance teams. Best suited for: Students enrolled in WGU D467: Exploring Data Business, data analytics, information systems, or cybersecurity majors Learners preparing for data-focused certifications or entry-level data roles Tutors and educators building introductory data skills materials Keywords: WGU D467, data types, metadata, SQL functions, data ethics, PII, anonymization, data modeling, ERD, UML, bias in data, sample vs population, normalization, data cleaning, conditional formatting, COUNTIF, VLOOKUP, data integrity, primary key, foreign key, GDPR, data security, CONCAT, CAST, data quality, null values, trimming, LEN, tokenization, random sampling

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WGU D467 Exploring Data 2025/2026
Exam Questions with 100% Correct
Answers | Latest Update



Data collection considerations - 🧠ANSWER ✔✔1. Select the right data type

2. Determine the time frame for data collection 3. How the data will be

collected 4. How much data to collect 5. Choose data sources 6. Decide

what data to use


Population - 🧠ANSWER ✔✔All possible data values in a certain dataset


Sample - 🧠ANSWER ✔✔A part of the population that is representative of

the population


First-party data - 🧠ANSWER ✔✔Data collected by an individual or group

using their own resources

,Second-party data - 🧠ANSWER ✔✔Data collected by a group directly from

its audience and then sold


Third-party data - 🧠ANSWER ✔✔Data collected from outside sources who

did not collect it directly


Internal data (Primary data) - 🧠ANSWER ✔✔Collected by a researcher

from first-hand sources


External data (Secondary data) - 🧠ANSWER ✔✔Gathered by other people

or from other research


Quantitative data - 🧠ANSWER ✔✔Can be measured and counted using

numbers (quantity, amount, range)


Qualitative data - 🧠ANSWER ✔✔Cannot be counted, measured or easily

expressed in numbers (names, categories, descriptions)


Discrete data - 🧠ANSWER ✔✔Data that is counted and has a limited

number of values


Continuous data - 🧠ANSWER ✔✔Data that is measured and can have any

numeric value

, Nominal data - 🧠ANSWER ✔✔A type of qualitative data that is categorized

without a set order


Ordinal data - 🧠ANSWER ✔✔A type of qualitative data with a set order or

scale


Structured data - 🧠ANSWER ✔✔Data organized in a certain format such as

rows and columns


Unstructured data - 🧠ANSWER ✔✔Data that is not organized in an easily

identifiable manner


Data model - 🧠ANSWER ✔✔A model that is used for organizing data

elements and how they relate to one another


Data elements - 🧠ANSWER ✔✔Pieces of information, such as people's

names, account numbers, and addresses


Data modeling - 🧠ANSWER ✔✔The process of creating diagrams that

visually represent how data is organized and structured


Levels of data modeling - 🧠ANSWER ✔✔1. Conceptual modeling 2. Logical

data modeling 3. Physical data modeling




3
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