
Snowflake SnowPro Advanced:Data Analyst
Domain 3Objective 2
Design and Use Data Models SNOWPRO-ADVANCED-DATA-ANALYST Practice Questions (Page 2)
Part of the Data Transformation and Data Modeling domain, which accounts for 23% of the SNOWPRO-ADVANCED-DATA-ANALYST exam.
24questions here
5free pages
6concepts
23%of the exam
Questions 6–10
- 6
Which data model type is best suited for a reporting environment where business users need to query aggregated sales by product, time, and region with minimal joins?
Select an answer first - 7
A data modeler is designing a fact table for an e-commerce company. The fact table will store order line items, and the company wants to analyze sales by product, customer, and date. The product dimension has a surrogate key, and the customer dimension also has a surrogate key. Which columns should be included in the fact table to properly link to these dimensions?
Select an answer first - 8
A financial reporting team is designing a data model for loan performance. They have a central fact table of loan payments and dimensions for borrower, branch, loan product, and date. The borrower dimension has attributes such as credit score, employment status, and region, which are currently stored directly in the borrower dimension. The team wants to reduce data redundancy and make it easier to update region information independently. Which schema design best meets this requirement?
Select an answer first - 9
A human resources team maintains an employee dimension in a data warehouse. When an employee changes their job title, the team wants to keep the old title for historical reporting but also show the current title in dashboards. They do not need to track the history of every change, only the most recent change. Which slowly changing dimension (SCD) strategy should they use?
Select an answer first - 10
In data modeling, what does the term 'grain' refer to?
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