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D491 for Post Assessment (based on the Pre Assessments and Quizzes, added some more based on Study guides and my Coaching reports) Verified 100% Correct!!

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D491 for Post Assessment (based on the Pre Assessments and Quizzes, added some more based on Study guides and my Coaching reports) Verified 100% Correct!!

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204 Multiple choice questions

Term 1 of 204
Which activities should the data analytics team perform during the model execution phase of this
project?

Presenting key findings to stakeholders and evaluating the project's success
The main goal of the communicate results phase is to convey the project outcomes and
insights to stakeholders while evaluating the project's success and discussing possible
improvements.


Generating training and test sets and refining models to enhance performance
In this stage, the team focuses on using the prepared data to create subsets for training and
testing the model, improving the model's accuracy, and optimizing its performance to
ensure it meets the project goals.

Web log data, call-center records, and survey responses
Web log data, call-center records, and survey responses provide valuable insights into
patient behavior and satisfaction, which are important factors for analyzing patient
satisfaction.

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.

,Definition 2 of 204
A data analyst working for a retail company has a team that analyzes customer purchasing
behavior and identifies a segment of high-value customers who have a high propensity to
churn. Now the analyst needs to communicate the results to the customer service department
to operationalize the insights and reduce customer churn. How does the communication of
results tie to the operationalize phase of data analytics?

By implementing personalized outreach to customers

To demonstrate the value and impact of data analytics on business outcomes


By training customer service representatives

What is the format and structure of the data?

,Definition 3 of 204
What is the best marketing strategy to target specific customer segments based on their purchase
history and demographics?


Prescriptive analytics can use data on customer demographics, purchase history, and marketing
campaigns to recommend the best action to achieve a specific outcome, such as increasing sales
to a specific customer segment. This information can be used to implement targeted marketing
campaigns that are more likely to be successful and increase revenue for the company.

A retail company collected data on customer demographics, purchase history, and
marketing campaigns.


Which question can a data analytics project answer using prescriptive analytics?

A manufacturing company collected data on production processes, equipment downtime,
and maintenance logs.
Which question can a data analytics project answer using diagnostic analytics?


A grocery store chain collected data on customer purchases, sales transactions, and
inventory levels.
Which question can a data analytics project answer using descriptive analytics?

A retail company wants to improve its sales and customer satisfaction by analyzing
customer data. The company hired a data analytics team, which has access to the
company's customer database, including transaction records, demographic information,
and customer feedback. The data analytics team will work closely with the marketing and IT
departments to create actionable insights for the company. The team has three months to
complete the project, and the company's budget allows purchasing additional software
tools or training, if necessary.
Which constraint should impact the data analytics project the most?

, Definition 4 of 204
What is the primary responsibility of the business intelligence analyst during the
operationalize phase of the data analytics life cycle?

To design new data models for analysis

To create marketing strategies based on data

To make sure their reports and dashboards are up-to-date

To oversee the data collection process

Definition 5 of 204
requires data in the form of unstructured text, such as social media posts or customer reviews;
"patterns or sentiment"

Text mining

Web mining

Data mining

Text analysis

Definition 6 of 204
Which skill must a business intelligence analyst possess to collect and organize data?

Data understanding

Data preparation

Evaluation

Model planning

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