Microsoft Certified: Fabric Analytics Engineer AssociatePlan and implement data analytics solutions (10-15%)Easy
A data analytics team is planning to use Microsoft Fabric to analyze customer behavior. They have identified several data sources, including an Azure SQL Database, Salesforce, and flat files on Azure Data Lake Storage Gen2. Before ingestion, they need to define the data requirements, data quality rules, and data retention policies for each source. Which phase of planning a Fabric analytics solution does this activity primarily fall under?
- AImplementing data governance.
- BDefining data strategy and requirements.
- CDesigning data models.
- DProvisioning Fabric resources.
Show answer & explanationAnswer & explanation
Correct answer: B. Defining data strategy and requirements.
Defining data requirements, quality rules, and retention policies are fundamental aspects of the 'Defining data strategy and requirements' phase. This phase precedes actual implementation and resource provisioning, ensuring a clear understanding of the data landscape and business needs.
Why the other options are wrong
- A. Implementing data governance is a broader, ongoing activity that relies on the definitions established in the requirements phase.
- C. Designing data models occurs after understanding the data requirements and is part of the solution design, not the initial overarching planning.
- D. Provisioning resources comes after defining what needs to be provisioned and why.
Data Strategy and Requirements Definition
The initial phase in data solution planning where business objectives are translated into data needs, including identifying data sources, defining data quality standards, and establishing data retention policies.
- Crucial for successful data projects.
- Involves business and technical stakeholders.
- Sets the foundation for data ingestion and modeling.
Memory trick: First define your data, then build your Fabric.