DATA ANALYTICS FOR ACCOUNTING EXAM
2026 ACTUAL EXAM
◉ Structured Data. Answer: Structured Data is organized and fits
nicely into tables, made up of specific data types like date, numeric,
and text.
◉ Unstructured Data. Answer: Unstructured Data doesn't fit into a
traditional table and includes images, audio, video, and more.
◉ Database. Answer: A Database is a set of logically related files
(tables) that contains an organized collection of data that is
accessible for fast searching and retrieval.
◉ Relational Databases. Answer: Relational databases organize
structured data in interrelated tables which are connected by
similarities between tables.
◉ Data Lake. Answer: A Data Lake is a vast pool of data designed to
contain all a company's data and acts as a central repository for data.
◉ Data Warehouse. Answer: A Data Warehouse is designed
specifically for reporting and data analysis and contains relevant
data that has already been transformed for reporting use.
, ◉ 5V's of Big Data. Answer: The 5V's of Big Data describe the
massive amounts of data companies capture, store, and analyze:
Volume, Velocity, Variety, Veracity, and Value.
◉ Volume. Answer: Volume refers to the quantity and scale of data
generated every second.
◉ Velocity. Answer: Velocity is the speed at which data is generated.
◉ Variety. Answer: Variety refers to the diversity of data created or
collected.
◉ Veracity. Answer: Veracity is the accuracy and truthfulness of the
data.
◉ Value. Answer: Value is arguably the most important of the 5Vs
because data isn't useful to a business unless it can be converted into
valuable information.
◉ Data Scientists. Answer: Data Scientists are users of Data Lakes
who engage in big data analytics (data science).
2026 ACTUAL EXAM
◉ Structured Data. Answer: Structured Data is organized and fits
nicely into tables, made up of specific data types like date, numeric,
and text.
◉ Unstructured Data. Answer: Unstructured Data doesn't fit into a
traditional table and includes images, audio, video, and more.
◉ Database. Answer: A Database is a set of logically related files
(tables) that contains an organized collection of data that is
accessible for fast searching and retrieval.
◉ Relational Databases. Answer: Relational databases organize
structured data in interrelated tables which are connected by
similarities between tables.
◉ Data Lake. Answer: A Data Lake is a vast pool of data designed to
contain all a company's data and acts as a central repository for data.
◉ Data Warehouse. Answer: A Data Warehouse is designed
specifically for reporting and data analysis and contains relevant
data that has already been transformed for reporting use.
, ◉ 5V's of Big Data. Answer: The 5V's of Big Data describe the
massive amounts of data companies capture, store, and analyze:
Volume, Velocity, Variety, Veracity, and Value.
◉ Volume. Answer: Volume refers to the quantity and scale of data
generated every second.
◉ Velocity. Answer: Velocity is the speed at which data is generated.
◉ Variety. Answer: Variety refers to the diversity of data created or
collected.
◉ Veracity. Answer: Veracity is the accuracy and truthfulness of the
data.
◉ Value. Answer: Value is arguably the most important of the 5Vs
because data isn't useful to a business unless it can be converted into
valuable information.
◉ Data Scientists. Answer: Data Scientists are users of Data Lakes
who engage in big data analytics (data science).
