WGU D491 INTRODUCTION TO ANALYTICS | LATEST UPDATED|155 REAL EXAM AND COMPLETE
QUESTIONS AND ANSWERS | 100% RATED CORRECT | 100% VERFIED | ALREADY GRADED A+
Which role in a data analytics project provides expertise for analytical techniques?
Data engineer
Business intelligence analyst
Data scientist
Database administrator - ANSWER:Data scientist
Which skills are required by data scientists for converting unstructured data to structured data in
data analytics projects?
Data visualization skills
Data wrangling skills
Text mining skills
Machine learning skills - ANSWER:Data wrangling skills
Which skill must a business intelligence analyst possess to collect and organize data?
Data preparation
Data visualization
Data modeling
Machine learning - ANSWER:Data preparation
What is a skill required of a data engineer?
Creating data visualizations
Maintaining databases
Training machine learning models
Writing programs that perform data analysis - ANSWER:Maintaining databases
Which group of stakeholders comprises the professionals, such as line managers?
,Database administrators
Data engineers
Project sponsors
Business users - ANSWER:Business users
Which stakeholder is primarily responsible for ensuring the desired quality of the project?
Business intelligence analysts
Business users
Project managers
Project sponsors - ANSWER:Project managers
Who offers suggestions on ideas to test as the team formulates hypotheses during the discovery
phase of a data analytics project?
Data scientists
Data visualization specialists
Project managers
Marketing experts - ANSWER:Data scientists
Which task is typically performed to handle outliers during the data preparation phase?
Normalization
Truncating extreme values
Data transformation
Missing data imputation - ANSWER:Truncating extreme values
A data analyst at a retail company is provided with a large dataset containing sales transactions,
customer information, and product details. The analyst is tasked with preparing the data for analysis
and modeling.Which activity would the analyst perform during the data preparation phase?
Exploring available data to understand its characteristics and suitability
,Identifying the business problem or research question that needs to be addressed
Developing initial hypotheses about the relationship between data variables
Allocating computing resources for the data analysis - ANSWER:Exploring available data to
understand its characteristics and suitability
Which activity is performed during the model planning phase of a data analysis project?
Building the final predictive model
Selecting relevant features for modeling
Generating synthetic data for model training
Conducting hypothesis testing on the modeling data - ANSWER:Selecting relevant features for
modeling
Which programming language is primarily used for statistical analysis and data manipulation in the
model planning phase?
Ruby
R
Swift
MATLAB - ANSWER:R
Which phase of the data analytics life cycle involves running analytical software packages on small
datasets to test and refine models?
Data preparation phase
Operationalization phase
Model planning phase
Model execution phase - ANSWER:Model execution phase
Which step is typically performed after executing the model in the model execution phase?
Data post-processing
, Model deployment
Result analysis
Dataset creation - ANSWER:Result analysis
How does the communication of results tie to the operationalize phase of data analytics?
It helps identify the relevant data sources.
It enables the development of a data model.
It implements data-driven insights into business functions.
It ensures the accuracy of the data analysis. - ANSWER:It implements data-driven insights into
business functions.
Which data visualization tool in the communicate results phase is used to create web-based
visualization?
D3.js
Gnuplot
OpenLayers
Tableau - ANSWER:D3.js
Which statement is an example of a common pitfall in the communication of model results?
Overemphasizing simplicity to explain the model
Providing detailed explanations of model assumptions
Focusing only on the accuracy of the model
Presenting multiple visualizations to illustrate the model - ANSWER:Focusing only on the accuracy of
the model
What is the purpose of communicating data analytics results to stakeholders?
To demonstrate the value and impact of data analytics on business outcomes
To share technical details and methodologies used in the analysis
QUESTIONS AND ANSWERS | 100% RATED CORRECT | 100% VERFIED | ALREADY GRADED A+
Which role in a data analytics project provides expertise for analytical techniques?
Data engineer
Business intelligence analyst
Data scientist
Database administrator - ANSWER:Data scientist
Which skills are required by data scientists for converting unstructured data to structured data in
data analytics projects?
Data visualization skills
Data wrangling skills
Text mining skills
Machine learning skills - ANSWER:Data wrangling skills
Which skill must a business intelligence analyst possess to collect and organize data?
Data preparation
Data visualization
Data modeling
Machine learning - ANSWER:Data preparation
What is a skill required of a data engineer?
Creating data visualizations
Maintaining databases
Training machine learning models
Writing programs that perform data analysis - ANSWER:Maintaining databases
Which group of stakeholders comprises the professionals, such as line managers?
,Database administrators
Data engineers
Project sponsors
Business users - ANSWER:Business users
Which stakeholder is primarily responsible for ensuring the desired quality of the project?
Business intelligence analysts
Business users
Project managers
Project sponsors - ANSWER:Project managers
Who offers suggestions on ideas to test as the team formulates hypotheses during the discovery
phase of a data analytics project?
Data scientists
Data visualization specialists
Project managers
Marketing experts - ANSWER:Data scientists
Which task is typically performed to handle outliers during the data preparation phase?
Normalization
Truncating extreme values
Data transformation
Missing data imputation - ANSWER:Truncating extreme values
A data analyst at a retail company is provided with a large dataset containing sales transactions,
customer information, and product details. The analyst is tasked with preparing the data for analysis
and modeling.Which activity would the analyst perform during the data preparation phase?
Exploring available data to understand its characteristics and suitability
,Identifying the business problem or research question that needs to be addressed
Developing initial hypotheses about the relationship between data variables
Allocating computing resources for the data analysis - ANSWER:Exploring available data to
understand its characteristics and suitability
Which activity is performed during the model planning phase of a data analysis project?
Building the final predictive model
Selecting relevant features for modeling
Generating synthetic data for model training
Conducting hypothesis testing on the modeling data - ANSWER:Selecting relevant features for
modeling
Which programming language is primarily used for statistical analysis and data manipulation in the
model planning phase?
Ruby
R
Swift
MATLAB - ANSWER:R
Which phase of the data analytics life cycle involves running analytical software packages on small
datasets to test and refine models?
Data preparation phase
Operationalization phase
Model planning phase
Model execution phase - ANSWER:Model execution phase
Which step is typically performed after executing the model in the model execution phase?
Data post-processing
, Model deployment
Result analysis
Dataset creation - ANSWER:Result analysis
How does the communication of results tie to the operationalize phase of data analytics?
It helps identify the relevant data sources.
It enables the development of a data model.
It implements data-driven insights into business functions.
It ensures the accuracy of the data analysis. - ANSWER:It implements data-driven insights into
business functions.
Which data visualization tool in the communicate results phase is used to create web-based
visualization?
D3.js
Gnuplot
OpenLayers
Tableau - ANSWER:D3.js
Which statement is an example of a common pitfall in the communication of model results?
Overemphasizing simplicity to explain the model
Providing detailed explanations of model assumptions
Focusing only on the accuracy of the model
Presenting multiple visualizations to illustrate the model - ANSWER:Focusing only on the accuracy of
the model
What is the purpose of communicating data analytics results to stakeholders?
To demonstrate the value and impact of data analytics on business outcomes
To share technical details and methodologies used in the analysis
