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Power BI DA-100 Exam Question And Answers 2024.
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Power BI DA-100 Exam Question AndAnswers 2024
What are the divisions of the core components of analytics? -
correct answers✅To analyze data, core components of analytics
are divided into the following categories:
-Descriptive
-Diagnostic
-Predictive
-Prescriptive
-Cognitive
What are descriptive analytics? - correct answers✅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? - correct
answers✅An example of descriptive analytics is generating
reports to provide a view of an organization's sales and financial
data.
What are diagnostic analytics? - correct answers✅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? - correct
answers✅Performance indicators are further investigated to
discover why these events improved or became worse. Generally,
this process occurs in three steps:
,Power BI DA-100 Exam Question And
Answers 2024
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? - correct answers✅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? - correct
answers✅Techniques include a variety of statistical and machine
learning techniques such as neural networks, decision trees, and
regression.
What are prescriptive analytics? - correct answers✅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? - correct
answers✅Prescriptive analytics techniques rely on machine
learning strategies to find patterns in large datasets.
,Power BI DA-100 Exam Question And
Answers 2024
What are cognitive analytics? - correct answers✅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? - correct
answers✅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? - correct answers✅-Business
analyst
-Data analyst
-Data engineer
-Data scientist
-Database administrator
What is the role of the business analyst? - correct answers✅While
some similarities exist between a data analyst and business
analyst, the key differentiator between the two roles is what they
do with data. A business analyst is closer to the business and is a
, Power BI DA-100 Exam Question And
Answers 2024
specialist in interpreting the data that comes from the
visualization.
What is the role of the data analyst? - correct answers✅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.
What are the responsibilities of the data analyst with respect to
Power BI - correct answers✅A data analyst is also responsible for
the management of Power BI assets, including reports,
dashboards, workspaces, and the underlying datasets that are
used in the reports. They are tasked with implementing and
configuring proper security procedures, in conjunction with
stakeholder requirements, to ensure the safekeeping of all Power
BI assets and their data.
How do data analyst interreact with the data engineer and
database administrator? - correct answers✅Data analysts work
with data engineers to determine and locate appropriate data
sources that meet stakeholder requirements. Additionally, data
analysts work with the data engineer and database administrator
to ensure that the analyst has proper access to the needed data
sources. The data analyst also works with the data engineer to
identify new processes or improve existing processes for
collecting data for analysis.
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