AND PRACTICE EXAM (TEST BANK) WITH
CORRECT Qs and As FROM EXPERT
What are the different types of data analytics projects?
- Data warehousing, data mining, data visualization, and
business intelligence
- Regression analysis, time series analysis, text analytics,
and network analysis
- Data collection, data cleaning, data transformation, and
data visualization
- Descriptive, diagnostic, predictive, and prescriptive
analytics
ANSWER-Descriptive, diagnostic, predictive, and
prescriptive analytics
What is the difference between exploratory and
confirmatory data analytics projects?
- Exploratory projects involve testing hypotheses and
finding patterns in data, while confirmatory projects
involve verifying existing hypotheses.
- Exploratory projects involve analyzing data that is
already structured, while confirmatory projects involve
analyzing unstructured data.
,- Exploratory projects involve analyzing large datasets,
while confirmatory projects involve analyzing smaller
datasets.
- Exploratory projects involve analyzing data from a
single source, while confirmatory projects involve
integrating data from multiple sources.
ANSWER-Exploratory projects involve testing
hypotheses and finding patterns in data, while
confirmatory projects involve verifying existing
hypotheses.
NOT CORRECT
Which project is considered a data analytics project?
- Developing a recommendation system to suggest new
products to customers based on their past purchases
- Creating a dashboard to visualize sales data and
monitor inventory levels for a grocery store chain
- Building a predictive model to forecast stock prices for
a financial services company
- Designing a database schema to store customer
information for a retail store
ANSWER-Creating a dashboard to visualize sales data
and monitor inventory levels for a grocery store chain
Why is quality control/assurance crucial for data
engineers in a data analytics project?
- It ensures that the data is analyzed in a timely manner.
,- It ensures that the data is stored in a secure location.
- It ensures that the data is accurate and reliable.
- It ensures that the data is accessible to all stakeholders.
ANSWER-It ensures that the data is accurate and
reliable.
What does a data analyst do in a data analytics project?
- Conducts exploratory data analysis to identify trends
and patterns
- Focuses on building machine learning models
- Oversees data governance and data quality assurance
- Designs and develops databases and data pipelines
ANSWER-Conducts exploratory data analysis to
identify trends and patterns
What is the function of a data scientist in an
organization?
- To design and maintain data visualizations and
dashboards
- To oversee data governance and compliance
- To work independently to analyze data and make
decisions based on their findings
- To conduct statistical analysis and machine learning
modeling
ANSWER-To conduct statistical analysis and machine
learning modeling
, What is the role of a business intelligence analyst?
- Overseeing data governance and compliance
- Developing and implementing data processing pipelines
- Designing and maintaining data visualizations and
dashboards
- Conducting statistical analysis and machine learning
modeling
ANSWER-Designing and maintaining data
visualizations and dashboards
What is a primary responsibility of a data engineer?
- Designing and implementing data storage solutions
- Designing and developing data visualizations for
stakeholders
- Analyzing and interpreting data to inform business
decisions
- Developing predictive models using machine learning
algorithms
ANSWER-Designing and implementing data storage
solutions
What is a primary responsibility of a machine learning
engineer?
- Developing predictive models using machine learning
algorithms
- Analyzing and interpreting data to inform business
decisions
- Designing and developing data visualizations for
stakeholders