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Snowflake DAA-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Data Presentation and Data Visualization	28%-29%	- Create dashboards 1. Snowsight dashboards 2. Present analytical results - Integrate with BI tools 1. Tableau integration 2. Power BI integration 3. Other partner visualization tools
Data Transformation and Data Modeling	22%-30%	- Design data models 1. Star schema design 2. Data vault models 3. Snowflake schema design - Transform data using SQL 1. PIVOT/UNPIVOT operations 2. Window functions 3. Common Table Expressions (CTEs) 4. QUALIFY clauses
Data Ingestion and Data Preparation	15%-20%	- Use best practice considerations relating to data integrity structures 1. Implement constraints 2. Define primary keys for tables 3. Perform table joins between parent/child tables - Prepare data and load into Snowflake 1. Load data from external/internal stages into a table 2. Load files using Snowsight - Perform data discovery to identify what is needed from available datasets 1. Evaluate required transformations (table joins, set operations, ASOF JOINS) 2. Use commands to read metadata or alter context (DESCRIBE, SHOW, USE) 3. Identify elements required for business goals using BI reports or SQL analysis 4. Query tables to assess data elements and statistics maintained by Snowflake 5. Determine the level of data granularity required - Implement data processing solutions 1. Respond to processing failures 2. Cleanse, conform, and enrich data 3. Use logging and monitoring solutions (auditing, data lineage) 4. Automate and implement data pipelines (scheduling) - Use a collection system to retrieve data 1. Retrieve data from semi-structured sources (Parquet, Avro, ORC, JSON, XML) 2. Retrieve data from unstructured sources 3. Synthetic Data Generation 4. Retrieve data from structured sources (CSV) - Enrich data by identifying and accessing relevant data from the Snowflake Marketplace 1. Create tables and views 2. Use Secure Data Sharing (Marketplace, Internal Marketplace, Private Listings, Listings) 3. Find external data sets that correlate with available data
Data Analysis	30%-32%	- Perform advanced analytics using SQL 1. Time-series analysis 2. Aggregate functions 3. Snowflake-specific analytical features

Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

Question 1

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. Materialized view
C. Stored procedure
D. User-Defined Function (UDF)

Question 2

A Data Analyst has been analyzing customer data in several worksheets. Each worksheet contains a complex query that provides clean and prepared data for visualizations. The Analyst has also created a Customer Overview dashboard in Snowsight. How should the Analyst add the worksheets in the Customer Analysis database to the dashboard, using the LEAST amount of operational overhead?

A. Query the QUERY_HISTORY view to find those queries, then add the queries into the dashboard.
B. Open each worksheet, copy the query, then paste the query into the dashboard.
C. Copy and paste the worksheets into the dashboard.
D. Move the worksheets into the dashboard.

Question 3

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. 20
B. 30
C. Null
D. 10

Question 4

Which Snowflake feature or object can be used to dynamically create and execute SQL statements?

A. System-defined functions
B. User-Defined Functions (UDFs)
C. Stored procedures
D. Tasks

Question 5

A Data Analyst created two tables that are related by a foreign key, using the following commands:

Then the Analyst renamed the referenced table using the following command: ALTER TABLE mother RENAME TO father; What happens to the foreign key after the referenced table is renamed?

A. The foreign key is dropped because the reference is no longer valid.
B. The foreign key becomes invalid because the referenced table no longer exists.
C. The foreign key will not be used during the query rewrite.
D. The foreign key is updated to reference the renamed table.

Solutions:

Question 1
Answer: C

Question 2
Answer: D

Question 3
Answer: A

Question 4
Answer: C

Question 5
Answer: D