Introduction to Analytics - D491 Exam
Questions With Complete solutions
What is Data analytics?
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-The process of encrypting data to keep it secure
| | | | | | | |
-The process of storing data in a secure location for future use
| | | | | | | | | | |
-The process of analyzing data to extract insights
| | | | | | |
-The process of collecting data from various sources - CORRECT ANSWER✔✔-The
| | | | | | | | | | |
process of analyzing data to extract insights. (Data analytics involves analyzing
| | | | | | | | | | |
data to extract insights and inform decision-making. This includes using various
| | | | | | | | | | |
techniques and tools to explore, clean, transform, and model data and visualize
| | | | | | | | | | | |
and communicate findings.)
| |
What is data science?
| | |
-A field that involves creating data visualizations to provide insights
| | | | | | | | |
-The process of creating computer programs to automate tasks
| | | | | | | |
-The study of how computers interact with human language
| | | | | | | |
-The practice of using statistical methods to extract insights from data - CORRECT
| | | | | | | | | | | | |
ANSWER✔✔-The practice of using statistical methods to extract insights from
| | | | | | | | | |
data. (Data science is a multidisciplinary field involving various statistical,
| | | | | | | | | |
mathematical, and computational methods to extract meaningful insights and
| | | | | | | | |
knowledge from data.) | |
How is data science different from data analytics?
| | | | | | |
,-Data science focuses more on data visualization, while data analytics focuses on
| | | | | | | | | | | |
data cleaning and preprocessing.
| | |
-Data science focuses more on tracking experimental data, and data analytics is
| | | | | | | | | | | |
based on statistical methods and hypotheses.
| | | | |
-Data science involves creating new algorithms, while data analytics uses existing
| | | | | | | | | | |
statistical methods. |
-Data science focuses on developing new algorithms and models, while data
| | | | | | | | | | |
analytics focuses on using existing models to analyze data. - CORRECT
| | | | | | | | | | |
ANSWER✔✔-Data science focuses on developing new algorithms and models, | | | | | | | | |
while data analytics focuses on using existing models to analyze data. (Data
| | | | | | | | | | | |
science is more research-based, while data analytics is more focused on the
| | | | | | | | | | | |
practical applications of data analytics.)
| | | |
Which comparison describes the difference between data analytics and data
| | | | | | | | | |
science?
-Data analytics focuses on statistics, and data science mainly focuses on
| | | | | | | | | | |
qualitative reasoning. |
-Data science involves analyzing data from structured sources, while data
| | | | | | | | | |
analytics involves analyzing data from unstructured sources.
| | | | | |
-Data analytics is the process of analyzing data to extract insights, while data
| | | | | | | | | | | | |
science involves building and testing models to make predictions.
| | | | | | | |
-Data analytics focuses on descriptive analysis, while data science focuses on
| | | | | | | | | | |
prescriptive analysis. - CORRECT ANSWER✔✔-Data analytics is the process of
| | | | | | | | | |
analyzing data to extract insights, while data science involves building and testing
| | | | | | | | | | | |
models to make predictions. (Data analytics involves using statistical and
| | | | | | | | | |
quantitative methods to analyze data to extract insights and solve problems,
| | | | | | | | | | |
while data science involves using machine learning and statistical models to build
| | | | | | | | | | | |
predictive models and make decisions based on data.)
| | | | | | |
,Which type of data analytics project aims to determine why something happened
| | | | | | | | | | |
in the past?
| | |
-Prescriptive
| -Descriptive
| -Predictive
|-Diagnostic - CORRECT ANSWER✔✔-Descriptive (Descriptive analytics focuses on
| | | | | | | |
summarizing past events and understanding what happened.)
| | | | | |
What are the different types of data analytics projects?
| | | | | | | |
-Regression analysis, time series analysis, text analytics, and network analysis
| | | | | | | | |
-Data warehousing, data mining, data visualization, and business intelligence
| | | | | | | |
-Descriptive, diagnostic, predictive, and prescriptive analytics
| | | | |
-Data collection, data cleaning, data transformation, and data visualization -
| | | | | | | | | |
CORRECT 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 from a single source, while
| | | | | | | | | |
confirmatory projects involve integrating data from multiple sources.
| | | | | | |
-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. - CORRECT ANSWER✔✔-Exploratory projects
| | | | | | | |
, involve testing hypotheses and finding patterns in data, while confirmatory
| | | | | | | | | |
projects involve verifying existing hypotheses. (Exploratory data analytics projects
| | | | | | | |
|are typically used when little is known about the data or when researchers look
| | | | | | | | | | | | | |
for patterns or trends that may not have been previously identified.)
| | | | | | | | | |
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 -
| | | | | | | | | | | | |
CORRECT ANSWER✔✔-Creating a dashboard to visualize sales data and monitor
| | | | | | | | | |
inventory levels for a grocery store chain. (A data analytics project typically
| | | | | | | | | | | |
involves analyzing data to identify trends and patterns and then using this
| | | | | | | | | | | |
information to make data-driven decisions.) | | | |
Why is quality control/assurance crucial for data engineers in a data analytics
| | | | | | | | | | | |
project?
-It ensures that the data is accurate and reliable.
| | | | | | | |
-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 accessible to all stakeholders. - CORRECT ANSWER✔✔-
| | | | | | | | | | | |
It ensures that the data is accurate and reliable. (Quality control is crucial for data
| | | | | | | | | | | | | |
|engineers in a data analytics project because it ensures that the data used for
| | | | | | | | | | | | | |
analysis is accurate and reliable.) | | | |
Questions With Complete solutions
What is Data analytics?
| | |
-The process of encrypting data to keep it secure
| | | | | | | |
-The process of storing data in a secure location for future use
| | | | | | | | | | |
-The process of analyzing data to extract insights
| | | | | | |
-The process of collecting data from various sources - CORRECT ANSWER✔✔-The
| | | | | | | | | | |
process of analyzing data to extract insights. (Data analytics involves analyzing
| | | | | | | | | | |
data to extract insights and inform decision-making. This includes using various
| | | | | | | | | | |
techniques and tools to explore, clean, transform, and model data and visualize
| | | | | | | | | | | |
and communicate findings.)
| |
What is data science?
| | |
-A field that involves creating data visualizations to provide insights
| | | | | | | | |
-The process of creating computer programs to automate tasks
| | | | | | | |
-The study of how computers interact with human language
| | | | | | | |
-The practice of using statistical methods to extract insights from data - CORRECT
| | | | | | | | | | | | |
ANSWER✔✔-The practice of using statistical methods to extract insights from
| | | | | | | | | |
data. (Data science is a multidisciplinary field involving various statistical,
| | | | | | | | | |
mathematical, and computational methods to extract meaningful insights and
| | | | | | | | |
knowledge from data.) | |
How is data science different from data analytics?
| | | | | | |
,-Data science focuses more on data visualization, while data analytics focuses on
| | | | | | | | | | | |
data cleaning and preprocessing.
| | |
-Data science focuses more on tracking experimental data, and data analytics is
| | | | | | | | | | | |
based on statistical methods and hypotheses.
| | | | |
-Data science involves creating new algorithms, while data analytics uses existing
| | | | | | | | | | |
statistical methods. |
-Data science focuses on developing new algorithms and models, while data
| | | | | | | | | | |
analytics focuses on using existing models to analyze data. - CORRECT
| | | | | | | | | | |
ANSWER✔✔-Data science focuses on developing new algorithms and models, | | | | | | | | |
while data analytics focuses on using existing models to analyze data. (Data
| | | | | | | | | | | |
science is more research-based, while data analytics is more focused on the
| | | | | | | | | | | |
practical applications of data analytics.)
| | | |
Which comparison describes the difference between data analytics and data
| | | | | | | | | |
science?
-Data analytics focuses on statistics, and data science mainly focuses on
| | | | | | | | | | |
qualitative reasoning. |
-Data science involves analyzing data from structured sources, while data
| | | | | | | | | |
analytics involves analyzing data from unstructured sources.
| | | | | |
-Data analytics is the process of analyzing data to extract insights, while data
| | | | | | | | | | | | |
science involves building and testing models to make predictions.
| | | | | | | |
-Data analytics focuses on descriptive analysis, while data science focuses on
| | | | | | | | | | |
prescriptive analysis. - CORRECT ANSWER✔✔-Data analytics is the process of
| | | | | | | | | |
analyzing data to extract insights, while data science involves building and testing
| | | | | | | | | | | |
models to make predictions. (Data analytics involves using statistical and
| | | | | | | | | |
quantitative methods to analyze data to extract insights and solve problems,
| | | | | | | | | | |
while data science involves using machine learning and statistical models to build
| | | | | | | | | | | |
predictive models and make decisions based on data.)
| | | | | | |
,Which type of data analytics project aims to determine why something happened
| | | | | | | | | | |
in the past?
| | |
-Prescriptive
| -Descriptive
| -Predictive
|-Diagnostic - CORRECT ANSWER✔✔-Descriptive (Descriptive analytics focuses on
| | | | | | | |
summarizing past events and understanding what happened.)
| | | | | |
What are the different types of data analytics projects?
| | | | | | | |
-Regression analysis, time series analysis, text analytics, and network analysis
| | | | | | | | |
-Data warehousing, data mining, data visualization, and business intelligence
| | | | | | | |
-Descriptive, diagnostic, predictive, and prescriptive analytics
| | | | |
-Data collection, data cleaning, data transformation, and data visualization -
| | | | | | | | | |
CORRECT 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 from a single source, while
| | | | | | | | | |
confirmatory projects involve integrating data from multiple sources.
| | | | | | |
-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. - CORRECT ANSWER✔✔-Exploratory projects
| | | | | | | |
, involve testing hypotheses and finding patterns in data, while confirmatory
| | | | | | | | | |
projects involve verifying existing hypotheses. (Exploratory data analytics projects
| | | | | | | |
|are typically used when little is known about the data or when researchers look
| | | | | | | | | | | | | |
for patterns or trends that may not have been previously identified.)
| | | | | | | | | |
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 -
| | | | | | | | | | | | |
CORRECT ANSWER✔✔-Creating a dashboard to visualize sales data and monitor
| | | | | | | | | |
inventory levels for a grocery store chain. (A data analytics project typically
| | | | | | | | | | | |
involves analyzing data to identify trends and patterns and then using this
| | | | | | | | | | | |
information to make data-driven decisions.) | | | |
Why is quality control/assurance crucial for data engineers in a data analytics
| | | | | | | | | | | |
project?
-It ensures that the data is accurate and reliable.
| | | | | | | |
-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 accessible to all stakeholders. - CORRECT ANSWER✔✔-
| | | | | | | | | | | |
It ensures that the data is accurate and reliable. (Quality control is crucial for data
| | | | | | | | | | | | | |
|engineers in a data analytics project because it ensures that the data used for
| | | | | | | | | | | | | |
analysis is accurate and reliable.) | | | |
