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WGU D552 Data Analytics for Accountants Final Exam 150 Questions with Answer Rationales

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The test bank walks students through crucial technical domains, assessing skills in defining structured database data, utilizing relational integrity constraints, mapping data dictionaries, and navigating the operational steps of the core IMPACT cycle (WGU D552 D... pp. 2-3, 8). It delivers extensive scenario-based problems covering data manipulation and ETL (Extract, Transform, Load) cleaning tasks within Excel, Power Query, Tableau, and Python pandas (WGU D552 D... pp. 4, 14, 17, 19). Additionally, the manual breaks down rigorous statistical reasoning methodologies, including interpretation of p-values, execution of two-sample and paired t-tests, chi-square evaluations, regression assumptions like heteroscedasticity, and anomaly identification techniques using Benford's Law and outlier Z-scores (WGU D552 D... pp. 4-5, 24, 26, 29-30). Complete with comprehensive visual communication guidelines detailing dashboard formatting and interactive slicers, every single practice problem is paired with a verified correct answer and a meticulous logical rationale (WGU D552 D... pp. 37, 39). This review manual is an indispensable tool for clarifying accounting metrics, optimizing study time, and passing the D552 assessment on your first attempt.

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WGU D552 DATA ANALYTICS FOR ACCOUNTANTS


Final Examination – 150 Questions with Answer Rationales




Domain 1: Foundations of Data Analytics for Accountants
(Questions 1–30)

1. Which type of analytics answers the question, "Why did it happen?"
a) Descriptive
b) Diagnostic
c) Predictive
d) Prescriptive


Correct Answer: b




2. An accountant uses a scatter plot to examine the relationship between advertising
spend and sales revenue. This is an example of:
a) Descriptive analytics
b) Diagnostic analytics
c) Predictive analytics
d) Prescriptive analytics


Correct Answer: b

,3. Which of the following is an example of structured data?
a) A PDF copy of a signed contract
b) An email thread about invoice approval
c) A database table of general ledger entries
d) A voicemail recording of a payment authorization


Correct Answer: c




4. A data dictionary in an accounting analytics project should include:
a) Only the field names
b) Field names, data types, descriptions, and data source
c) Actual data values for the first 100 rows
d) SQL queries used to generate the data


Correct Answer: b




5. What is the primary purpose of data normalization in accounting databases?
a) Increase data redundancy
b) Reduce data duplication and improve integrity
c) Encrypt sensitive financial fields
d) Convert all numbers to percentages


Correct Answer: b

,6. In the IMPACT cycle for data analytics, the "M" stands for:
a) Manipulate
b) Master the data
c) Measure
d) Model


Correct Answer: b




7. Which of the following is a key performance indicator (KPI) for accounts receivable?
a) Days sales outstanding (DSO)
b) Inventory turnover ratio
c) Debt-to-equity ratio
d) Gross profit margin


Correct Answer: a




8. An accountant discovers negative inventory quantities in the ERP system. This is
most likely a:
a) Data type inconsistency
b) Data validity issue
c) Data completeness issue
d) Data governance success

, Correct Answer: b




9. Which tool is specifically designed for extracting, transforming, and loading (ETL)
data for analytics?
a) Excel pivot tables
b) Tableau
c) Power Query (in Power BI/Excel)
d) PowerPoint


Correct Answer: c




10. An accountant wants to test whether the mean monthly expense differs between
two departments. Which statistical test is appropriate?
a) Chi-square test
b) One-way ANOVA
c) Two-sample t-test
d) Pearson correlation


Correct Answer: c




11. A p-value of 0.03 in an audit test means:
a) There is a 3% chance the null hypothesis is true
b) There is a 3% chance of observing the data if the null is true
c) The null hypothesis is definitely false
d) The result is not statistically significant at α=0.05

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