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Examen

DATA Analytics Exam Questions and Answers Verified Solutions Latest Update

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DATA Analytics Exam Questions and Answers Verified Solutions Latest Update

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DATA Analytics FOR Accounting Vernon
Comprehensive EXAM Questions and
Answers
Verified Solutions Latest Update


Question:

What skills do accountants need for data analytics?

Answer:
They need to articulate business problems, communicate with data scientists, draw
conclusions, and present results.


Question:

What are the key data analytics tools mentioned?

Answer:
Microsoft tools (Excel, Power BI) and Tableau tools (Tableau Prep Builder, Tableau
Desktop).


Question:

What is the role of data scrubbing in data analytics?

Answer:
It involves preparing data to ensure quality and completeness before analysis.


Question:

What is a primary key in a relational database?

Answer:
A unique identifier for a record in a table.

,Question:

What is a foreign key?

Answer:
An attribute in one table that points to a primary key in another table.


Question:

What are composite keys?

Answer:
A combination of two foreign keys used for line items in a database.


Question:

What is the significance of descriptive attributes?

Answer:
They include all other attributes that provide additional information about records.


Question:

How does data analytics change the audit process?

Answer:
It allows auditors to consider 100% of transactions, improving risk detection.


Question:

What is the relationship between data analytics and tax planning?

Answer:
Data analytics helps companies develop sophisticated tax planning strategies and
understand tax implications.


Question:

What ethical considerations are involved in data collection?

Answer:
Ensuring data is collected and used responsibly and in compliance with regulations.

,Question:

What is the role of data visualization in data analytics?

Answer:
It helps present data findings in an accessible and understandable manner.


Question:

What does 'data normalization' mean?

Answer:
The process of organizing data to minimize redundancy and improve data integrity.


Question:

What is the purpose of 'extraction, transformation, and loading' (ETL)?

Answer:
To prepare data for analysis by extracting it from sources, transforming it into a usable
format, and loading it into a target system.


Question:

What is the purpose of a primary key in a database?

Answer:
To uniquely identify each record in a table.


Question:

What is a non-key attribute?

Answer:
An attribute that does not uniquely identify a record but provides additional
information.


Question:

What does ETL stand for in data processing?

Answer:
Extract, Transform, Load.

, Question:

What is the first step in the data request process?

Answer:
Determine the purpose and scope of the data request.


Question:

What should be validated during data validation?

Answer:
Completeness and integrity of the data.


Question:

What is the purpose of cleaning data?

Answer:
To ensure data consistency and readiness for analysis.


Question:

What are common issues with data that must be fixed before analysis?

Answer:
Inaccurate dates, inconsistent number formats, and human errors.


Question:

What ethical issues can arise in data collection?

Answer:
Privacy notices, risk assessments, and safeguards against data misuse.


Question:

What is the role of a data dictionary?

Answer:
To define acceptable data types and attributes for each field.

Información del documento

Subido en
29 de agosto de 2026
Número de páginas
37
Escrito en
2026/2027
Tipo
Examen
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