SECTION 2 THE DATA ANALYTICS
LIFECYCLE EXAM QUESTIONS AND
ANSWERS
Which sequence of steps should you follow during the data preparation phase?
a. Set up sandbox, extract and transform data, condition data, explore visually
b. Formulate hypothesis, gather data, examine findings, conclude analysis
c. Generate visuals, modify data, analyze patterns, cooperate with IT department
d. Obtain data, store data, create charts, finalize report - ANSWER-A.
In the data analytics process, which phase focuses on identifying candidate models
for clustering, classifying, or finding relationships and ensuring analytical techniques
align with business objectives? - ANSWER-Model Planning
What is the primary purpose of the model planning phase in the data analytics
process? - ANSWER-Identifying methods and aligning techniques with objectives
Which activities should be the focus of the model planning phase? - ANSWER-
Partitioning the data into training, validation, and test sets
Which tool is commonly used during the model planning phase?
a. Data Wrangler
b. Hadoop
c. OpenRefine
d. KNIME - ANSWER-D. ; KNIME is an open-source data analytics platform for
visually creating data workflows
A healthcare company wants to predict which patients are at risk of developing a
certain medical condition.
Which model is commonly used for this type of analysis?
a. Decision tree
b. K-means clustering
c. Logistic regression
d. Association rules - ANSWER-C. ; Logistic regression is a model that predicts the
probability of an event occurring. It is suitable for predicting which patients are at risk
of developing a certain medical condition.
During a data analytics project, which phase focuses on developing training and test
datasets, refining models, and assessing the validity and predictive power of the
models? - ANSWER-Model Execution
What is the main purpose of the model execution phase in a data analytics project? -
ANSWER-To develop datasets, refine models, and assess validity
, Which phase of a data analytics project involves articulating findings and outcomes
for stakeholders while considering caveats, assumptions, and limitations? -
ANSWER-Communicate Results
Which activities should the data analytics team perform during the model execution
phase of this project?
a. Generating training and test sets and refining models to enhance performance
b. Grouping categorical variables and standardizing numeric values
c. Creating data visualizations and capturing essential predictors
d. Deploying the model and measuring its return on investment - ANSWER-A.
Which tool is suitable for a data analytics team to use during the model execution
phase of a project?
a.Microsoft Excel
b. SAS Enterprise Miner
c. KNIME
d. Tableau - ANSWER-B. ; SAS Enterprise Miner is a commercial tool specifically
designed for model building and execution, making it suitable for the model
execution phase of the project.
What is the purpose of the communicate results phase in a data analytics project? -
ANSWER-Presenting finding and outcomes to stakeholders
Which activity should the data analytics team focus on during the communicate
results phase?
a. Building and testing different predictive models for customer churn
b. Analyzing the financial impact of the project on the company's revenue and
customer retention
c. Presenting key findings to stakeholders and evaluating the project's success
d. Performing data cleaning and transforming raw data into usable formats -
ANSWER-C.
Which tools are commonly used for communicating results in data analytics
projects? - ANSWER-Data visualization tools and presentation softwares
What do data analytics teams do in the operationalize phase of a data analytics
project? - ANSWER-Communicate project benefits, set up the pilot project, and
deploy in production
What is the primary purpose of the operationalize phase in a data analytics project? -
ANSWER-To pilot the model, refine it, and fully deploy it
What is the most critical resource for the data analytics project? - ANSWER-The
customer database
LIFECYCLE EXAM QUESTIONS AND
ANSWERS
Which sequence of steps should you follow during the data preparation phase?
a. Set up sandbox, extract and transform data, condition data, explore visually
b. Formulate hypothesis, gather data, examine findings, conclude analysis
c. Generate visuals, modify data, analyze patterns, cooperate with IT department
d. Obtain data, store data, create charts, finalize report - ANSWER-A.
In the data analytics process, which phase focuses on identifying candidate models
for clustering, classifying, or finding relationships and ensuring analytical techniques
align with business objectives? - ANSWER-Model Planning
What is the primary purpose of the model planning phase in the data analytics
process? - ANSWER-Identifying methods and aligning techniques with objectives
Which activities should be the focus of the model planning phase? - ANSWER-
Partitioning the data into training, validation, and test sets
Which tool is commonly used during the model planning phase?
a. Data Wrangler
b. Hadoop
c. OpenRefine
d. KNIME - ANSWER-D. ; KNIME is an open-source data analytics platform for
visually creating data workflows
A healthcare company wants to predict which patients are at risk of developing a
certain medical condition.
Which model is commonly used for this type of analysis?
a. Decision tree
b. K-means clustering
c. Logistic regression
d. Association rules - ANSWER-C. ; Logistic regression is a model that predicts the
probability of an event occurring. It is suitable for predicting which patients are at risk
of developing a certain medical condition.
During a data analytics project, which phase focuses on developing training and test
datasets, refining models, and assessing the validity and predictive power of the
models? - ANSWER-Model Execution
What is the main purpose of the model execution phase in a data analytics project? -
ANSWER-To develop datasets, refine models, and assess validity
, Which phase of a data analytics project involves articulating findings and outcomes
for stakeholders while considering caveats, assumptions, and limitations? -
ANSWER-Communicate Results
Which activities should the data analytics team perform during the model execution
phase of this project?
a. Generating training and test sets and refining models to enhance performance
b. Grouping categorical variables and standardizing numeric values
c. Creating data visualizations and capturing essential predictors
d. Deploying the model and measuring its return on investment - ANSWER-A.
Which tool is suitable for a data analytics team to use during the model execution
phase of a project?
a.Microsoft Excel
b. SAS Enterprise Miner
c. KNIME
d. Tableau - ANSWER-B. ; SAS Enterprise Miner is a commercial tool specifically
designed for model building and execution, making it suitable for the model
execution phase of the project.
What is the purpose of the communicate results phase in a data analytics project? -
ANSWER-Presenting finding and outcomes to stakeholders
Which activity should the data analytics team focus on during the communicate
results phase?
a. Building and testing different predictive models for customer churn
b. Analyzing the financial impact of the project on the company's revenue and
customer retention
c. Presenting key findings to stakeholders and evaluating the project's success
d. Performing data cleaning and transforming raw data into usable formats -
ANSWER-C.
Which tools are commonly used for communicating results in data analytics
projects? - ANSWER-Data visualization tools and presentation softwares
What do data analytics teams do in the operationalize phase of a data analytics
project? - ANSWER-Communicate project benefits, set up the pilot project, and
deploy in production
What is the primary purpose of the operationalize phase in a data analytics project? -
ANSWER-To pilot the model, refine it, and fully deploy it
What is the most critical resource for the data analytics project? - ANSWER-The
customer database
