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2024 Newest|Power BI DA-100| UPDATE|COMPREHENSIVE FREQUENTLY MOST TESTED QUESTIONS AND VERIFIED ANSWERS|GET IT 100% ACCURATE What are the divisions of the core components of analytics? - ANSWER-To analyze data, core components of analytics are divided into the following categories: -Descriptiv...

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2024 Newest|Power BI DA-100|2024-2025 UPDATE|COMPREHENSIVE
FREQUENTLY MOST TESTED QUESTIONS AND VERIFIED
ANSWERS|GET IT 100% ACCURATE



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


What are descriptive analytics? - ANSWER✔✔-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? - ANSWER✔✔-An example of descriptive

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

questions about why events happened. Diagnostic analytics techniques supplement
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Page 1/49

,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? - ANSWER✔✔-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? - 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

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Page 2/49

,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

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? - 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

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


-Data analyst


-Data engineer


-Data scientist


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, -Database administrator


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

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.


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.


What are the responsibilities of the data analyst with respect to Power BI -

ANSWER✔✔-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? -

ANSWER✔✔-Data analysts work with data engineers to determine and locate

appropriate data sources that meet stakeholder requirements. Additionally, data

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