DA-100 Analyzing Data with Microsoft Power BI Test Bank
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DA-100 Analyzing Data with Microsoft Power
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DA-100 Analyzing Data With Microsoft Power
In the learning path "Get started with Microsoft data analytics," what do you learn
about?Correct answer - the life and journey of a data analyst:
skills
tasks
processes
...they go through in order to tell a story with data so trusted business decision can be
made
- how the suite o...
da 100 analyzing data with microsoft power bi test bank
in the learning path ampquotget started with microsoft data analytics
ampquot what do you learn about
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DA-100 Analyzing Data with Microsoft Power
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DA-100 Analyzing Data with Microsoft
Power BI Test Bank
In the learning path "Get started with Microsoft data analytics," what do you learn
about?Correct answer - the life and journey of a data analyst:
skills
tasks
processes
...they go through in order to tell a story with data so trusted business decision can be
made
- how the suite of Power BI tools and services are used by a data analyst to tell a
compelling story through reports and dashboards, and the need for true BI in the
enterprise
What types of data that are being generated each day in an organization?Correct
answer - - transactional data in a traditional database
- telemetry data from services that you use
- signals that you get from different areas like social media
Describe that data the a retail business collects and stores.Correct answer - in-store
browsing behavior
sales
purchases
pages visited on their site
the aisles in which purchases were made
spending habits
...and much more
Retail analytics focuses on providing insights related to sales, inventory, customers, and
other important aspects crucial for merchants' decision-making process.
The discipline encompasses several granular fields to create a broad picture of a retail
business' health, and sales alongside overall areas for improvement and reinforcement.
Essentially, retail analytics is used to help make better choices, run businesses more
efficiently, and deliver improved customer service.
,The field of retail analysis goes beyond superficial data analysis, using techniques like
data mining and data discovery to sanitize datasets to produce actionable BI insights
that can be applied in the short-term.
Moreover, companies use these analytics to create better snapshots of their target
demographics. By harnessing sales data analysis, retailers can identify their ideal
customers according to diverse categories such as:
- age
- preferences
- buying patterns
- location
- and more
What is the challenge that organizations have today regarding their data and
information?Correct answer - understanding and using their data to positively effect
change within the business.
A retail business should be able to use their data in such a way that impacts the
business, including what?Correct answer - - tracking inventory
- identifying customer purchase habits
- detecting user trends and patterns
- recommending purchases
- determining price optimizations
- identifying and stopping fraud
- identifying daily/monthly sales patterns
- performing trend analysis
- performing period over period analysis
What is the key to unlocking business data?Correct answer - being able to tell a story
with it
What does crafting reports that tell a story do?Correct answer - It helps business
leaders take action on the data.
Business decision makers depend on what to drive better business decisions?Correct
answer - an accurate story
What is the benefit to a business of making fast, precise decisions?Correct answer -
The business will be more competitive, with a better advantage
What do businesses need to be able to do with their data?Correct answer - act on the
data to effect change within the business
What types of change might occur when acting on the data?Correct answer - -
reallocating resources within the business to accommodate a need
,- identifying a failing campaign and knowing when to change course
What comes first in using data to drive business decisions?Correct answer - business
leaders partnering with data professional within your organization, such as data
engineers and data scientists
What do data professionals within your organization do?Correct answer - help get the
data that you need to tell the story that allows business decision makers to act
What are aspects of building a data culture?Correct answer - - telling the data story
- where the story is told
- who the story is told to
- making sure people can find the story and have appropriate access
- making sure data stories are part of regular interactions
What is data analysis?Correct answer - The process of reducing, organizing, and giving
meaning to the data that has been collected
the process of...
- identifying
- cleaning
- transforming
- modeling
...data to discover meaningful and useful information.
What happens to data after it has been analyzed?Correct answer - The data is then
crafted into a story through reports for analysis to support the critical decision-making
process.
What is a vital component and aspect of large and small businesses?Correct answer -
storytelling through data analysis
Data-driven business make decisions based on what?Correct answer - the story that
their data tells
What is a challenge that most businesses face in today's data-driven world?Correct
answer - data is not being used to its full potential
What types of critical business insights does data analysis provide?Correct answer -
evaluating customer sentiment
performing market research
identifying trends across the business
, What are the core categories of data analytics?Correct answer - Planning: What is our
plan?
Descriptive: What happened?
Diagnostic: Why did it happen?
Predictive: What will happen next?
Prescriptive: What should be done about it?
Cognitive - mimic the human brain by drawing inferences from existing data and
patterns, drawing conclusions based on existing knowledge bases, and inserting this
back into the knowledge base for future inferences - a self-learning feedback loop.
What questions does descriptive analytics help answer?Correct answer - What has
happened based on historical data?
What do descriptive analytics techniques do with large data sets?Correct answer - They
summarizes them to describe outcomes to stakeholders.
What is used to to help track the success or failure of key objectives?Correct answer -
Key Performance Indicators (KPI)
What is a common descriptive metric used in many industries?Correct answer - Return
On Investment (ROI)
a ratio between net profit (over a period) and cost of investment (resulting from an
investment of some resources at a point in time). A high ROI means the investment's
gains compare favourably to its cost.
As a performance measure, ROI is used to evaluate the efficiency of an investment or
to compare the efficiencies of several different investments. In economic terms, it is one
way of relating profits to capital invested.
What is an example of descriptive analytics?Correct answer - generating reports to
provide a view of an organization's sales and financial data
Which data analytics category helps answer questions about why events happened?
Correct answer - diagnostic analytics
What do diagnostic analytics techniques use to discover the cause of events?Correct
answer - the findings of descriptive analytics
In diagnostic analytics, what is further investigated to discover why events improved or
worsened outcomes?Correct answer - KPIs
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