,11/8/24, 6:30 PM 2024 Newest|Power BI DA-100|2024-2025 UPDATE|COMPREHENSIVE FREQUENTLY MOST TESTED QUESTIONS AND V…
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Terms in this set (187)
To analyze data, core components of analytics are
divided into the following categories:
What are the divisions of -Descriptive
the core components of -Diagnostic
analytics? -Predictive
-Prescriptive
-Cognitive
Descriptive analytics help answer questions about
What are descriptive what has happened based on historical data.
analytics? Descriptive analytics techniques summarize large
datasets to describe outcomes to stakeholders.
An example of descriptive analytics is generating
What are examples of
reports to provide a view of an organization's sales
descriptive analytics?
and financial data.
Diagnostic analytics help answer questions about
why events happened. Diagnostic analytics
What are diagnostic
techniques supplement basic descriptive analytics,
analytics?
and they use the findings from descriptive analytics
to discover the cause of these events.
Performance indicators are further investigated to
discover why these events improved or became
worse. Generally, this process occurs in three steps:
What are the steps of 1. Identify anomalies in the data. These anomalies
diagnostic analytics? 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.
, 11/8/24, 6:30 PM 2024 Newest|Power BI DA-100|2024-2025 UPDATE|COMPREHENSIVE FREQUENTLY MOST TESTED QUESTIONS AND V…
Predictive analytics help answer questions about
What are predictive what will happen in the future. Predictive analytics
analytics? techniques use historical data to identify trends and
determine if they're likely to recur.
Techniques include a variety of statistical and
What techniques does
machine learning techniques such as neural
predictive analytics use?
networks, decision trees, and regression.
Prescriptive analytics help answer questions about
which actions should be taken to achieve a goal or
What are prescriptive target. By using insights from predictive analytics,
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 techniques rely on machine
prescriptive analytics rely learning strategies to find patterns in large datasets.
on?
Cognitive analytics attempt to draw inferences from
existing data and patterns, derive conclusions based
on existing knowledge bases, and then add these
What are cognitive findings back into the knowledge base for future
analytics? 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.
Inferences aren't structured queries based on a
rules database; rather, they're unstructured
hypotheses that are gathered from several sources
How are inferences and expressed with varying degrees of confidence.
structured for cognitive Effective cognitive analytics depend on machine
analytics? 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.
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