D204 WGU Study Material: The Data
Analytics Journey Exam Questions and
Answers 100% correct.
List the Data Analytics Life Cycle phases. - ANSWER-1. Business understanding
2. Data acquisition
3. Data cleaning
4. Data exploration
5. Predictive modeling
6. Data mining
7. Reporting and visualization
Describe the business understanding phase of the data analytics life cycle. - ANSWER-
This phase is also known as the discovery phase.
-Defines the major questions
-Determines the needs of the stakeholders
-Assesses the resource constraints of the project
Describe the data acquisition phase of the data analytics life cycle. - ANSWER-This is
the phase of collecting data.
-Data will be retrieved from a database, perhaps a component of a data warehouse, by
using a language like SQL.
-Sometimes, data might not be available. In these cases, the analyst will use tools such
as web scraping or surveys to acquire it.
Describe the data cleaning phase of the data analytics life cycle. - ANSWER-Common
alternative names include data cleansing, data wrangling, data munging, and feature
engineering.
-When this phase is ignored or skipped, the results from the analysis may become
irrelevant.
-Data quality is measured in terms of uniqueness and relevance.
Describe the data exploration phase of the data analytics life cycle. - ANSWER--Begin
to understand the basic nature of data and the relationships within it.
Analytics Journey Exam Questions and
Answers 100% correct.
List the Data Analytics Life Cycle phases. - ANSWER-1. Business understanding
2. Data acquisition
3. Data cleaning
4. Data exploration
5. Predictive modeling
6. Data mining
7. Reporting and visualization
Describe the business understanding phase of the data analytics life cycle. - ANSWER-
This phase is also known as the discovery phase.
-Defines the major questions
-Determines the needs of the stakeholders
-Assesses the resource constraints of the project
Describe the data acquisition phase of the data analytics life cycle. - ANSWER-This is
the phase of collecting data.
-Data will be retrieved from a database, perhaps a component of a data warehouse, by
using a language like SQL.
-Sometimes, data might not be available. In these cases, the analyst will use tools such
as web scraping or surveys to acquire it.
Describe the data cleaning phase of the data analytics life cycle. - ANSWER-Common
alternative names include data cleansing, data wrangling, data munging, and feature
engineering.
-When this phase is ignored or skipped, the results from the analysis may become
irrelevant.
-Data quality is measured in terms of uniqueness and relevance.
Describe the data exploration phase of the data analytics life cycle. - ANSWER--Begin
to understand the basic nature of data and the relationships within it.
