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The Prerequisite of Microsoft DP-500 Exam
The role of Azure Enterprise Data Analyst Associate is a technical role that supports development and improvement of enterprise-level analytical solutions. The Azure Enterprise Data Analyst Associate performs complex data analysis tasks, such as analyzing big data sets and configuring and maintaining the data analytics infrastructure for an organization.
This role requires expertise in both business requirements gathering and technical skills. As an enterprise data analyst, you will be required to work closely with other roles within your company, including application developers, IT administrators, project managers, and business analysts.
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The responsibilities of an enterprise data analyst include:
Providing guidance on data governance and configuration settings for Power BI administration; monitoring data utilization and optimizing performance of the solution;
Assisting in developing a solution architecture that aligns with corporate strategies; recommending improvements for existing systems; troubleshooting errors
Executing advanced data analytics at scale, such as cleaning and transforming data, designing and building enterprise data models, incorporating advanced analytics capabilities, integrating with IT infrastructure;
The Assisting in the gathering of enterprise-level requirements for data analytics systems such as Azure and Power BI
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What is the exam cost of Microsoft DP-500 Certification
The exam cost of Microsoft DP-500 Certification is $165
Skills measured
- Query and transform data (20–25%)
- Explore and visualize data (20–25%)
- Implement and manage a data analytics environment (25–30%)
- Implement and manage data models (25–30%)
Microsoft DP-500 Exam Syllabus Topics:
| Topic | Details |
|---|
| Topic 1 | - Design and configure Power BI reports for accessibility
- Implement performance improvements in Power Query and data sources
|
| Topic 2 | - Identify an appropriate Azure Synapse pool when analyzing data
- Design and build composite models, including aggregations
|
| Topic 3 | - Design and implement enterprise-scale row-level security and object-level security
- Analyze data model efficiency by using VertiPaq Analyzer
|
| Topic 4 | - Create queries, functions, and parameters by using the Power Query Advanced Editor
- Identify and implement performance improvements in queries and report visuals
|
| Topic 5 | - Explore data by using native visuals in Spark notebooks
- Explore data by using Azure Synapse Analytics
|
| Topic 6 | - Perform impact analysis of downstream dependencies from dataflows and datasets
- Manage Power BI assets by using Azure Purview
|
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-500
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