DATA ANALYTICS ACTUAL TEST 2026
VERIFIED Q&A
◉What is involved in the planning phase? Answer: 1. Defining goals
2. Organizing resources
3. Coordinate people
4. Schedule project
◉What is involved in the wrangling phase? Answer: 5. Get data
6. Clean data
7. Explore data
8. Refine data
◉What is involved in the Modeling phase? Answer: 9. Create model
10. Validate model
11. Evaluate model
12. Refine model
◉What is involved in the Applying phase? Answer: 13. Present
model
,14. Deploy model
15. Revisit model
16. Archive assets
◉____________________ are programming languages that are very
frequently used for data manipulation and modeling. Answer:
Python or R
◉___________ are general-purpose languages that are used for the
back end, the foundational elementsterm-26 of data science, and
they provide maximum speed. Answer: C, and C++, and Java
◉____________________ is a language for working with relational
databases to do queries and data manipulation. Answer: SQL
◉What does SQL stand for? Answer: structured query language
◉This is where you actually create the statistical model and you do
the linear regression. You do the decision tree. You do the deep
learning neural network. Answer: Modeling
◉These are the developers, and the system architects, the people
who focus on the hardware and the software that make data science
possible Answer: Data engineers
,◉This is the phase of collecting data. Answer: Data acquisition
◉Which phase? - Working with stakeholders to help them ask better
questions so that both they and you understand the outcome.
Answer: Discovery
◉What are the 4 parts of data analytics cycle? Answer: Planning,
Wrangling, Modeling and Applying
◉This phase is also known as the discovery phase. During this
phase, an analyst defines the major questions of interest that need to
be answered, understand the needs of the stakeholders, and assess
the resource constraints in the project. Answer: Business
understanding
◉____________________ is the person who champions the vision of the
project and has the authority to allocate resources. Answer: The
project sponsor
◉__________________ is responsible for making sure things get done on
time and within budget and removes roadblocks. Answer: Project
manager
, ◉___________ is when new requirements are added to the project that
increases the time/resources needed to complete it. Answer: Scope
creep
◉What are the 3 types of analysis? Answer: Descriptive, Predictive,
Prescriptive
◉___________________________ describes the data that is present. Mean,
Median, Mode, counting things. How many of each size and color of
shirt were sold in the last month? Do we sell more shirts in the
summer vs winter? Answer: Descriptive analysis
◉____________________ makes predictions about future state of
business. Forecasting volumes for example. Based on last summer
and winter, what will we sell next year? Answer: Predictive analytics
◉_______________________ analysis with an end goal of making a
recommendation. What colors and sizes of shirts should we sell to
maximize profits? Answer: Prescriptive analytics
◉______________________ is just looking at any variable over time
Answer: Time series analysis
◉____________________ is a programing language that is specific to
statistics. It also has capabilities to visualize data. Answer: R
VERIFIED Q&A
◉What is involved in the planning phase? Answer: 1. Defining goals
2. Organizing resources
3. Coordinate people
4. Schedule project
◉What is involved in the wrangling phase? Answer: 5. Get data
6. Clean data
7. Explore data
8. Refine data
◉What is involved in the Modeling phase? Answer: 9. Create model
10. Validate model
11. Evaluate model
12. Refine model
◉What is involved in the Applying phase? Answer: 13. Present
model
,14. Deploy model
15. Revisit model
16. Archive assets
◉____________________ are programming languages that are very
frequently used for data manipulation and modeling. Answer:
Python or R
◉___________ are general-purpose languages that are used for the
back end, the foundational elementsterm-26 of data science, and
they provide maximum speed. Answer: C, and C++, and Java
◉____________________ is a language for working with relational
databases to do queries and data manipulation. Answer: SQL
◉What does SQL stand for? Answer: structured query language
◉This is where you actually create the statistical model and you do
the linear regression. You do the decision tree. You do the deep
learning neural network. Answer: Modeling
◉These are the developers, and the system architects, the people
who focus on the hardware and the software that make data science
possible Answer: Data engineers
,◉This is the phase of collecting data. Answer: Data acquisition
◉Which phase? - Working with stakeholders to help them ask better
questions so that both they and you understand the outcome.
Answer: Discovery
◉What are the 4 parts of data analytics cycle? Answer: Planning,
Wrangling, Modeling and Applying
◉This phase is also known as the discovery phase. During this
phase, an analyst defines the major questions of interest that need to
be answered, understand the needs of the stakeholders, and assess
the resource constraints in the project. Answer: Business
understanding
◉____________________ is the person who champions the vision of the
project and has the authority to allocate resources. Answer: The
project sponsor
◉__________________ is responsible for making sure things get done on
time and within budget and removes roadblocks. Answer: Project
manager
, ◉___________ is when new requirements are added to the project that
increases the time/resources needed to complete it. Answer: Scope
creep
◉What are the 3 types of analysis? Answer: Descriptive, Predictive,
Prescriptive
◉___________________________ describes the data that is present. Mean,
Median, Mode, counting things. How many of each size and color of
shirt were sold in the last month? Do we sell more shirts in the
summer vs winter? Answer: Descriptive analysis
◉____________________ makes predictions about future state of
business. Forecasting volumes for example. Based on last summer
and winter, what will we sell next year? Answer: Predictive analytics
◉_______________________ analysis with an end goal of making a
recommendation. What colors and sizes of shirts should we sell to
maximize profits? Answer: Prescriptive analytics
◉______________________ is just looking at any variable over time
Answer: Time series analysis
◉____________________ is a programing language that is specific to
statistics. It also has capabilities to visualize data. Answer: R
