Software skills.
Microsoft Azure Purview Test
The Microsoft Azure Purview Test evaluates candidates' expertise in data governance, metadata management, data lineage, and other essential skills using Azure Purview.
Summarize this test and see how it helps assess top talent with:
- Test type
- Software skills
- Duration
- 30 min
- Level
- Intermediate
- Questions
- 25
Available in
- English
Skills measured
Data Governance Concepts
Covers foundational knowledge of data governance, including the creation and management of governance policies, frameworks, and roles. Key focus areas include compliance management, privacy controls, and enforcing governance across the organization’s data estate. Advanced levels involve developing governance strategies and assessing governance maturity models.
Metadata Management
Focuses on managing metadata across diverse data sources, including data discovery, cataloging, and integration. Lower levels focus on basic cataloging, while advanced levels assess the ability to automate metadata capture, integrate complex sources, and ensure metadata quality and completeness. Emphasizes the strategic use of metadata in data-driven decisions.
Data Lineage & Classification
Evaluates the ability to implement and manage data lineage and data classification strategies. Lower levels address understanding of basic lineage tracing and data tagging, while advanced levels require knowledge of creating detailed lineage maps, applying classification rules, and understanding how lineage impacts data quality and governance reporting.
Purview Data Catalog
Covers managing the Purview Data Catalog, focusing on data discovery, data classification, and catalog enrichment. Emphasizes role-based access control (RBAC), user permissions, and business metadata enrichment. Advanced levels involve catalog optimization, managing large datasets, and aligning catalog data with governance and compliance requirements.
Integration & Connectivity
Focuses on connecting Purview with a variety of data sources, both on-premises and cloud-based, using out-of-the-box (OOTB) connectors and custom integrations (Atlas API). Lower levels assess basic connector setup, while advanced levels focus on managing complex, recurring scans, and developing custom workflows to automate data ingestion and integration.
Data Stewardship & Security
Evaluates data stewardship and security measures, including assigning data stewards, defining critical data elements (CDEs), and enforcing security policies through RBAC and data masking. Advanced levels involve implementing data stewardship models, ensuring compliance with data privacy laws, and managing secure data sharing across the enterprise.
Data Sharing & Collaboration
Covers setting up secure data sharing across internal and external stakeholders, with a focus on collaboration tools and managing shared datasets. Advanced levels assess the ability to manage permissions, ensure compliance during data sharing, and optimize data collaboration processes for data-driven decision-making.
Data Quality & Monitoring
Addresses ensuring data quality across the data estate, including setting up data quality rules, monitoring data governance KPIs, and integrating data quality tools with Purview. Advanced levels focus on resolving data quality issues, optimizing data quality frameworks, and providing detailed monitoring and reporting of data health within Purview.
Purview Administration
Covers administrative tasks within Purview, including user management, system health monitoring, and troubleshooting. Advanced levels assess proficiency in optimizing Purview configurations, managing access control policies, and resolving complex system issues. Includes deep dives into service health monitoring and advanced configuration techniques.
Custom API & Atlas API Usage
Focuses on leveraging Atlas API for custom integrations, metadata enrichment, and building advanced data lineage models. Includes the development of custom workflows and API integrations. Advanced levels assess expertise in creating unique, scalable solutions, automating metadata tasks, and building custom connectors for complex use cases in data governance.
Use of the Microsoft Azure Purview Test
The Microsoft Azure Purview Test is a crucial tool for organizations aiming to recruit professionals with deep expertise in data governance, metadata management, and data lineage, among other critical skills. Azure Purview is a unified data governance solution that helps organizations manage and govern their on-premises, multi-cloud, and SaaS data. This test is designed to assess the candidate's ability to utilize Azure Purview effectively to ensure the integrity, security, and compliance of an organization's data assets.
Data Governance Concepts: This skill covers the foundational knowledge of data governance, including creating and managing governance policies, frameworks, and roles. It emphasizes compliance management, privacy controls, and enforcing governance across an organization’s data estate. Advanced levels involve developing governance strategies and assessing governance maturity models, ensuring that candidates can elevate the organization’s governance capabilities.
Metadata Management: This skill focuses on managing metadata across diverse data sources, including data discovery, cataloging, and integration. At basic levels, it involves cataloging data, while advanced levels require automating metadata capture, integrating complex sources, and ensuring metadata quality and completeness. This skill is crucial for making data-driven decisions and maintaining data accuracy.
Data Lineage & Classification: This skill evaluates the ability to implement and manage data lineage and classification strategies. Candidates must demonstrate knowledge of creating detailed lineage maps, applying classification rules, and understanding how lineage impacts data quality and governance reporting. This ensures that data flows and transformations are transparent and traceable.
Purview Data Catalog: Managing the Purview Data Catalog includes data discovery, data classification, and catalog enrichment. Candidates must show proficiency in role-based access control (RBAC), user permissions, and business metadata enrichment. Advanced candidates are expected to optimize catalog performance, manage large datasets, and align catalog data with governance and compliance requirements.
Integration & Connectivity: This skill focuses on connecting Purview with various data sources using out-of-the-box connectors and custom integrations, including Atlas API. It assesses the ability to manage complex, recurring scans, and develop custom workflows to automate data ingestion and integration, ensuring seamless data connectivity.
Data Stewardship & Security: Evaluating data stewardship and security measures involves assigning data stewards, defining critical data elements (CDEs), and enforcing security policies through RBAC and data masking. Advanced levels require implementing data stewardship models and managing secure data sharing to ensure compliance with data privacy laws.
Data Sharing & Collaboration: This skill covers setting up secure data sharing across internal and external stakeholders, focusing on collaboration tools and managing shared datasets. Advanced candidates must manage permissions, ensure compliance during data sharing, and optimize data collaboration processes for informed decision-making.
Data Quality & Monitoring: Ensuring data quality across the data estate involves setting up data quality rules, monitoring data governance KPIs, and integrating data quality tools with Purview. Advanced candidates should resolve data quality issues, optimize frameworks, and provide detailed monitoring and reporting of data health.
Purview Administration: Administrative tasks within Purview include user management, system health monitoring, and troubleshooting. Advanced levels assess proficiency in optimizing configurations, managing access control policies, and resolving complex system issues, ensuring smooth Purview operations.
Custom API & Atlas API Usage: This skill focuses on leveraging Atlas API for custom integrations, metadata enrichment, and building advanced data lineage models. It includes developing custom workflows and API integrations to automate metadata tasks and build scalable solutions for complex use cases in data governance.
The Microsoft Azure Purview Test is invaluable for various industries, including finance, healthcare, retail, and technology, where data governance and compliance are critical. By using this test, organizations can identify and select the most qualified candidates to manage their data governance initiatives effectively.
Who is this test for?
Data Governance Officer, Data Steward, Metadata Manager, Data Analyst, Data Architect, Data Scientist, Compliance Officer, Information Security Manager, IT Manager, Chief Data Officer
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