Power BI DA-100: Practice Test Exam Questions and Answers ALL VERIFIED 100%
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Course
DA-100 Analyzing Data with Microsoft Power BI
Institution
DA-100 Analyzing Data With Microsoft Power BI
Power BI DA-100: Practice Test Exam Questions and Answers ALL VERIFIED 100%
What are the divisions of the core components of analytics? - ANSWER To analyze data, core components of analytics are divided into the following categories:
-Descriptive
-Diagnostic
-Predictive
-Prescriptive
...
,What are the divisions of the core components of analytics? - ANSWER To analyze
data, core components of analytics are divided into the following categories:
-Descriptive
-Diagnostic
-Predictive
-Prescriptive
-Cognitive
A
What are descriptive analytics? - ANSWER Descriptive analytics help answer
questions about what has happened based on historical data. Descriptive analytics
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techniques summarize large datasets to describe outcomes to stakeholders.
What are examples of descriptive analytics? - ANSWER An example of descriptive
TU
analytics is generating reports to provide a view of an organization's sales and financial
data.
What are diagnostic analytics? - ANSWER Diagnostic analytics help answer
IS
questions about why events happened. Diagnostic analytics techniques supplement
basic descriptive analytics, and they use the findings from descriptive analytics to
discover the cause of these events.
M
What are the steps of diagnostic analytics? - ANSWER Performance indicators are
further investigated to discover why these events improved or became worse. Generally,
O
this process occurs in three steps:
1. Identify anomalies in the data. These anomalies might be unexpected changes in a
A
metric or a particular market.
2. Collect data that's related to these anomalies.
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3. Use statistical techniques to discover relationships and trends that explain these
anomalies.
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What are predictive analytics? - ANSWER Predictive analytics help answer
questions about what will happen in the future. Predictive analytics techniques use
historical data to identify trends and determine if they're likely to recur.
What techniques does predictive analytics use? - ANSWER Techniques include a
variety of statistical and machine learning techniques such as neural networks, decision
trees, and regression.
, What are prescriptive analytics? - ANSWER Prescriptive analytics help answer
questions about which actions should be taken to achieve a goal or target. By using
insights from predictive analytics, organizations can make data-driven decisions. This
technique allows businesses to make informed decisions in the face of uncertainty.
What tools does prescriptive analytics rely on? - ANSWER Prescriptive analytics
techniques rely on machine learning strategies to find patterns in large datasets.
What are cognitive analytics? - ANSWER Cognitive analytics attempt to draw
A
inferences from existing data and patterns, derive conclusions based on existing
knowledge bases, and then add these findings back into the knowledge base for future
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inferences, a self-learning feedback loop. Cognitive analytics help you learn what might
happen if circumstances change and determine how you might handle these situations.
TU
How are inferences structured for cognitive analytics? - ANSWER Inferences aren't
structured queries based on a rules database; rather, they're unstructured hypotheses
that are gathered from several sources and expressed with varying degrees of
confidence. Effective cognitive analytics depend on machine learning algorithms, and
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will use several natural language processing concepts to make sense of previously
untapped data sources, such as call center conversation logs and product reviews.
What are the different data roles? - ANSWER -Business analyst
M
-Data analyst
-Data engineer
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-Data scientist
-Database administrator
A
What is the role of the business analyst? - ANSWER While some similarities exist
between a data analyst and business analyst, the key differentiator between the two
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roles is what they do with data. A business analyst is closer to the business and is a
specialist in interpreting the data that comes from the visualization.
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What is the role of the data analyst? - ANSWER A data analyst enables businesses
to maximize the value of their data assets through visualization and reporting tools such
as Microsoft Power BI. Data analysts are responsible for profiling, cleaning, and
transforming data. Their responsibilities also include designing and building scalable
and effective data models, and enabling and implementing the advanced analytics
capabilities into reports for analysis.
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