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Snowflake DAA-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Use Built-in Functions and Create UDFs	10–15%	- User-Defined Functions (UDFs) - Scalar, aggregate, table, system functions
Topic 2: Perform Simple Data Transformations for Analysis	15–20%	- Handling NULLs and structuring datasets - Views, materialized views, CTEs - Data cleansing, standardization, type conversion
Topic 3: Perform Predictive Analysis	5–10%	- Using Snowflake ML and built-in analytics - Forecasting and predictive modeling
Topic 4: Perform Descriptive and Diagnostic Analysis	10–15%	- Anomaly detection and root cause analysis - Exploratory and ad-hoc analysis - Statistical summarization and trend analysis
Topic 5: Prepare and Load Data	15–20%	- Data ingestion methods: COPY INTO, stages, Snowpipe - External tables and data validation - File formats: CSV, JSON, Parquet, Avro
Topic 6: Build and Troubleshoot Advanced SQL Queries	20–25%	- Query optimization and troubleshooting - Semi-structured data processing - Complex joins, subqueries, window functions
Topic 7: Prepare and Present Data	10–15%	- Data visualization and reporting - Snowsight dashboards and sharing results - Align outputs with business requirements

Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

1. What are the PRIMARY reasons for using integrity constraints on Snowflake tables? (Select TWO).

A) To enable team members to see how tables relate to one another.
B) To allow for clustering on the primary and foreign keys by specifying them as clustering keys.
C) To enforce that records with a UNIQUE column must have all distinct values in that column.
D) To enforce that a value in a foreign key must match the value of a primary or unique key in a parent table.
E) To enforce that records with a NOT NULL column must have values in that column.

2. A Data Analyst created two functions and one procedures:
The Analyst then runs this query:

The Analyst then runs this query:

What will be the output?

A) 30
B) 10
C) 20
D) Null

3. A Data Analyst has a Parquet file stored in an Amazon S3 staging area. Which query will copy the data from the staged Parquet file into separate columns in the target table?

A) Option B
B) Option D
C) Option C
D) Option A

4. Which Snowflake feature allows users to encapsulate a series of SQL statements into a reusable database object, facilitating modular code development?

A) Stored procedure
B) User-Defined Function (UDF)
C) Common Table Expressions (CTE)
D) Materialized view

5. The following code is run:

Then this statement is executed:

What will be the output of this statement?