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DP-500; DESIGNING AND IMPLEMENTING ENTERPRISE-SCALE ANALYTICS SOLUTIONS USING MICROSOFT AZURE AND MICROSOFT POWER BI EXAM WITH QUESTIONS AND 100% VERIFIED ANSWERS$16.49
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DP-500; DESIGNING AND IMPLEMENTING ENTERPRISE-SCALE ANALYTICS SOLUTIONS USING MICROSOFT AZURE AND MICROSOFT POWER BI EXAM WITH QUESTIONS AND 100% VERIFIED ANSWERS
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DP-500; DESIGNING AND IMPLEMENTING ENTERPRISE
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DP-500; DESIGNING AND IMPLEMENTING ENTERPRISE
DP-500; DESIGNING AND IMPLEMENTING ENTERPRISE-SCALE ANALYTICS SOLUTIONS USING MICROSOFT AZURE AND MICROSOFT POWER BI EXAM WITH QUESTIONS AND 100% VERIFIED ANSWERS....
DP-500; DESIGNING AND IMPLEMENTING
ENTERPRISE-SCALE ANALYTICS SOLUTIONS USING
MICROSOFT AZURE AND MICROSOFT POWER BI EXAM WITH
QUESTIONS AND 100% VERIFIED ANSWERS
What type of data is best suited for batch processing?
-IoT gas sensor data that monitors and detects the presence of toxic or hazardous
gasses.
Batch processing is the processing of transactions in a group or batch. In this case
sales data are batched by day.
What is one advantage of using Power BI over a Synapse notebook for data
visualization?
-There is no advantage, Power BI and Azure Synapse Analytics are comparable for
data visualization
-Power BI was designed for distribution of data products outside of the data team.
-Power BI displays simple visualizations compared to Synapse notebooks. -
ANSWER Power BI was designed for distribution of data products outside of the
data team.
Power BI provides secure distribution and sharing options for distribution of
insights across an organization.
Which of the following is an example of descriptive analytics?
-A monthly sales report looking at sales data over the last year
,-A social media algorithm that recommends curated content
-An annual HR report that forecasts predicted attrition for the next year - ANSWER
A monthly sales report looking at sales data over the last year
Descriptive analytics answers questions about what happened, based on historical
data.
What are the first three steps in the data analytics process?
-Data exploration, data analysis, and deploy analytics solution
-Data analysis, deploy analytics solution, and request feedback
-Requirements gathering, data ingestion and processing, and data exploration -
ANSWER Requirements gathering, data ingestion and processing, and data
exploration
Requirements gathering is a critical first step, followed by data ingestion and
processing, and data exploration.
Why is it important to understand the difference between structured and
unstructured data?
-There is no difference between structured and unstructured data
-Understanding the difference can determine where data should be stored and what
kind of analysis is most appropriate
-Understanding the difference will determine if the business requirements have
been met - ANSWER Understanding the difference can determine where data
should be stored and what kind of analysis is most appropriate
Understanding the difference between structured and unstructured data will aid in
planning for the analytics process.
Which of the following tasks are completed by a data analyst?
-Build monthly sales reports and gather feedback from the business on how reports
are being used.
-Design, implement, and maintain operational aspects of on-premises and
,cloud-based database systems.
-Manage and secure the flow of structured and unstructured data from multiple
sources into analytical data storage. - ANSWER Build monthly sales reports and
gather feedback from the business on how reports are being used.
Data analysts processes raw sales data into relevant insights.
What Microsoft tools do data analysts use for enterprise-scale analytics solutions?
-Azure Machine Learning and Azure Cosmos DB.
-Microsoft Excel.
-Azure Synapse Analytics and Microsoft Power BI - ANSWER Azure Synapse
Analytics and Microsoft Power BI
Azure Synapse Analytics and Microsoft Power BI are enterprise-scale analytics
tools used by data analysts.
What people focused strategies can help an organization achieve analytics at scale?
-Azure Synapse Analytics and Microsoft Power BI can help achieve analytics at
scale in an organization.
-Building a data culture, establishing a Center of Excellence, and creating a
community of practice.
-Achieving analytics at scale should be technology focused rather than people
focused. - ANSWER Building a data culture, establishing a Center of Excellence,
and creating a community of practice.
Building a data culture, establishing a Center of Excellence, and creating a
community of practice can assist in scaling analytics in an organization.
, What does Microsoft Purview do with the data it discovers from your registered
sources?
-It catalogs and classifies the data that is scanned.
-It moves the data to your Azure subscription, automatically creating the necessary
storage accounts.
-It performs data transformations to match your on-premises schemas. - ANSWER
It catalogs and classifies the data that is scanned.
It creates a holistic, up-to-date map of your data landscape with automated data
discovery, sensitive data classification, and end-to-end data lineage. Empower data
consumers to find valuable, trustworthy data.
Where would you register your data sources for use in Microsoft Purview?
-In the Overview tab of the Microsoft Purview account page.
-In the Managed Resources tab of the Microsoft Purview account page.
-In the Microsoft Purview governance portal. - ANSWER In the Microsoft Purview
governance portal.
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