Power BI DA-100 Latest Questions and Answers 100% Correct.
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Course
Power BI DA-100
Institution
Power BI DA-100
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 deci...
Power BI DA-100
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 are cognitive analytics? - ✔️✔️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.
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.
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 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 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.
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 tools does prescriptive analytics rely on? - ✔️✔️Prescriptive analytics techniques
rely on machine learning strategies to find patterns in large datasets.
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? - ✔️✔️-Business analyst
-Data analyst
-Data engineer
-Data scientist
-Database administrator
What is the role of the business analyst? - ✔️✔️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? - ✔️✔️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 - ✔️✔️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? -
✔️✔️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.
Who does the data engineer work with? - ✔️✔️As a data analyst, you would work
closely with a data engineer in making sure that you can access the variety of structured
and unstructured data sources because they will support you in optimizing data models,
which are typically served from a modern data warehouse or data lake.
Who can become a data engineer? - ✔️✔️Both database administrators and business
intelligence professionals can transition to a data engineer role; they need to learn the
tools and technology that are used to process large amounts of data.
What is the role of the data scientist? - ✔️✔️Data scientists perform advanced
analytics to extract value from data. Their work can vary from descriptive analytics to
predictive analytics. Descriptive analytics evaluate data through a process known as
exploratory data analysis (EDA). Predictive analytics are used in machine learning to
apply modeling techniques that can detect anomalies or patterns. These analytics are
important parts of forecast models.
What is the role of the database administrator? - ✔️✔️A database administrator
implements and manages the operational aspects of cloud-native and hybrid data
platform solutions that are built on Microsoft Azure data services and Microsoft SQL
Server. A data administrator is responsible for the overall availability and consistent
performance and optimizations of the database solutions. They work with stakeholders
to identify and implement the policies, tools, and processes for data backup and
recovery plans.
How does the data analyst divide most of their time? - ✔️✔️As a data analyst, you'll
likely divide most of your time between the prepare and model tasks. Deficient or
incorrect data can have a major impact that results in invalid reports, a loss of trust, and
a negative effect on business decisions, which can lead to loss in revenue, a negative
business impact, and more.
What needs to take place before the data analyst can prepare their report? -
✔️✔️Before a report can be created, data must be prepared. Data preparation is the
process of profiling, cleaning, and transforming your data to get it ready to model and
visualize.
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