DAC Fundamentals of Data Analytics

Question 1

What is the primary purpose of data analytics?

Accepted Answer

To extract insights and support decision-making.

Answer

Data analytics is the systematic process of examining raw data to discover meaningful patterns, correlations, and insights. Its primary purpose is to transform data into actionable information, enabling businesses and organizations to make more informed, data-driven decisions and improve various aspects of their operations and strategies.

Question 2

Which of the following best describes structured data?

Accepted Answer

Data organized in rows and columns.

Answer

Structured data refers to information that is highly organized and follows a predefined format, making it easily searchable and analyzable. It typically resides in relational databases or spreadsheets, where data elements are arranged in tables with rows and columns, each having a specific type and meaning, ensuring consistency and clarity.

Question 3

What is the first step in the data analytics process?

Accepted Answer

Defining the problem or objective.

Answer

Before diving into data collection or analysis, the crucial first step in any data analytics project is clearly defining the business problem or objective that needs to be addressed. This ensures that all subsequent efforts—from data gathering to visualization—are focused, relevant, and aligned with achieving a specific, measurable goal.

Question 4

Which type of analytics predicts future trends based on historical data?

Accepted Answer

Predictive analytics.

Answer

Predictive analytics is a type of data analytics that uses historical data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes or trends. It aims to forecast what might happen next, enabling proactive decision-making, risk assessment, and strategic planning based on anticipated events.

Question 5

What is a key characteristic of big data?

Accepted Answer

High volume, velocity, and variety.

Answer

Big data is characterized by the 'Three Vs': Volume, Velocity, and Variety. Volume refers to the immense amount of data generated, Velocity to the speed at which data is generated and processed, and Variety to the diverse types and formats of data. These characteristics present unique challenges and opportunities for storage, processing, and analysis.

Data Analytics Certifications (DAC) Practice Test

Data Analytics Certifications (DAC) Practice Test

DAC Fundamentals of Data Analytics