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Exam (elaborations)

Power BI DA-100 Questions and Answers (100% Pass)

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  • Power BI DA-100

What are the divisions of the core components of analytics? To analyze data, core components of analytics are divided into the following categories: -Descriptive -Diagnostic -Predictive -Prescriptive -Cognitive What are descriptive analytics? Descriptive analytics help answer quest...

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  • November 18, 2024
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  • 2024/2025
  • Exam (elaborations)
  • Questions & answers
  • Power BI DA-100
  • Power BI DA-100
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Power BI DA-100 Questions and
Answers (100% Pass)
What are the divisions of the core components of analytics?


✓ To analyze data, core components of analytics are divided into the

following categories:

✓ -Descriptive

✓ -Diagnostic

✓ -Predictive

✓ -Prescriptive

✓ -Cognitive




What are descriptive analytics?


✓ Descriptive analytics help answer questions about what has happened

based on historical data. Descriptive analytics techniques summarize

large datasets to describe outcomes to stakeholders.




What are examples of descriptive analytics?


✓ An example of descriptive analytics is generating reports to provide a

view of an organization's sales and financial data.




Master01 |Excellent Study Material| Latest update

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What are diagnostic analytics?


✓ Diagnostic analytics help answer 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.




What are the steps of diagnostic analytics?


✓ Performance indicators are further investigated to discover why these

events improved or became worse. Generally, this process occurs in

three steps:



✓ 1. Identify anomalies in the data. These anomalies might be

unexpected changes in a metric or a particular market.

✓ 2. Collect data that's related to these anomalies.

✓ 3. Use statistical techniques to discover relationships and trends that

explain these anomalies.




What are predictive analytics?


✓ 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.



Master01 |Excellent Study Material| Latest update

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What techniques does predictive analytics use?


✓ Techniques include a variety of statistical and machine learning

techniques such as neural networks, decision trees, and regression.




What are prescriptive analytics?


✓ 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?


✓ Prescriptive analytics techniques rely on machine learning strategies to

find patterns in large datasets.




What are cognitive analytics?




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✓ Cognitive analytics attempt to draw 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

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.




How are inferences structured for cognitive analytics?


✓ 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 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?




Master01 |Excellent Study Material| Latest update

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