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Snowflake DAA-C01 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Modeling and Performance Optimization | - Performance tuning
|
| Topic 2: Snowflake Architecture and Data Platform Fundamentals | - Data platform fundamentals
|
| Topic 3: Data Transformation and Analysis | - SQL-based transformations
|
| Topic 4: Security, Governance, and Data Sharing | - Data sharing and governance
|
| Topic 5: Data Loading and Unloading | - Data export
|
Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:
1. Why would a Data Analyst use a dimensional model rather than a single flat table to meet BI requirements for a virtual warehouse? (Select TWO).
A) Combining facts and dimensions in a single flat table limits the scalability and flexibility.
B) Dimensions and facts allow power users to run ad-hoc analyses.
C) Dimensional modelling will save on storage space since it is denormalized.
D) Snowflake generally performs better with dimensional modelling.
E) Dimensional modelling will improve query performance over a single table.
2. Which Snowflake feature allows users to encapsulate a series of SQL statements into a reusable database object, facilitating modular code development?
A) Common Table Expressions (CTE)
B) User-Defined Function (UDF)
C) Materialized view
D) Stored procedure
3. A Data Analyst is given access to a table of inventory transfers which includes the product details, fulfillment warehouse location, and destination warehouse location. Which type of visualization should be used to illustrate the most active product transfer routes?
A) Heat grid
B) Scorecard
C) Scatterplot
D) Line chart
4. While loading data into Snowflake using named file formats, a file format defined in which location has precedence?
A) The schema definition
B) The stage definition
C) The COPY INTO statement
D) The table definition
5. When building a Snowsight dashboard that will allow users to filter data within a worksheet, which Snowflake system filters should be used?
A) Include the :daterange system filter in a WHERE clause, and include the :datebucket system filter in a GROUP BY clause.
B) Include the :datebucket system filter in a WHERE clause, and include the :daterange system filter in a GROUP BY clause.
C) Include the :daterange system filter in a SELECT clause, and include the :datebucket system filter in a GROUP BY clause.
D) Include the :datebucket system filter in a WHERE clause, and include the :daterange system filter in a SELECT clause.
Solutions:
| Question # 1 Answer: A,B | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: A |
