Snowflake : DAA-C01 Questions & Answers

Last Updated: Aug 20, 2026

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Snowflake DAA-C01 Exam Syllabus Topics:

SectionWeightObjectives
Data Ingestion and Data Preparation15%-20%- Use best practice considerations relating to data integrity structures
  • 1. Define primary keys for tables
  • 2. Perform table joins between parent/child tables
  • 3. Implement constraints
- Enrich data by identifying and accessing relevant data from the Snowflake Marketplace
  • 1. Use Secure Data Sharing (Marketplace, Internal Marketplace, Private Listings, Listings)
  • 2. Find external data sets that correlate with available data
  • 3. Create tables and views
- Perform data discovery to identify what is needed from available datasets
  • 1. Identify elements required for business goals using BI reports or SQL analysis
  • 2. Evaluate required transformations (table joins, set operations, ASOF JOINS)
  • 3. Use commands to read metadata or alter context (DESCRIBE, SHOW, USE)
  • 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. Cleanse, conform, and enrich data
  • 2. Automate and implement data pipelines (scheduling)
  • 3. Use logging and monitoring solutions (auditing, data lineage)
  • 4. Respond to processing failures
- Use a collection system to retrieve data
  • 1. Retrieve data from semi-structured sources (Parquet, Avro, ORC, JSON, XML)
  • 2. Retrieve data from structured sources (CSV)
  • 3. Retrieve data from unstructured sources
  • 4. Synthetic Data Generation
- Prepare data and load into Snowflake
  • 1. Load files using Snowsight
  • 2. Load data from external/internal stages into a table
Data Presentation and Data Visualization28%-29%- Integrate with BI tools
  • 1. Other partner visualization tools
  • 2. Tableau integration
  • 3. Power BI integration
- Create dashboards
  • 1. Snowsight dashboards
  • 2. Present analytical results
Data Analysis30%-32%- Perform advanced analytics using SQL
  • 1. Time-series analysis
  • 2. Snowflake-specific analytical features
  • 3. Aggregate functions
Data Transformation and Data Modeling22%-30%- Transform data using SQL
  • 1. QUALIFY clauses
  • 2. Window functions
  • 3. PIVOT/UNPIVOT operations
  • 4. Common Table Expressions (CTEs)
- Design data models
  • 1. Snowflake schema design
  • 2. Star schema design
  • 3. Data vault models

Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

1. A Data Analyst wants to use pandas code they have previously written to process a column of text and return multiple rows of parsed output for each input value. The Analyst wants to be able to join these results with other tables in a single transaction. Which type of extensibility feature should the Analyst use?

A) External function
B) Stored procedure
C) Vectorized User-Defined Table Function (UDTF)
D) User-Defined Function (UDF)


2. A Data Analyst needs to create a custom filter called state in a Snowflake dashboard using a SQL query.
Which query will include this custom filter?

A) select avg(total_income), state from taxpayer_wages group by state having state = state;
B) select avg(total_income), state from taxpayer_wages group by state having state = :state;
C) select avg(total_income), state from taxpayer_wages group by state having state = 'state';
D) select avg(total_income), state from taxpayer_wages group by state having state = @state;


3. This query is run:
SQL
SELECT
customer.id,
ANY_VALUE(customer.name),
SUM(orders.value)
FROM customer
JOIN orders ON customer.id = orders.customer_id
GROUP BY customer.id;
What is the effect of ANY_VALUE in this syntax?

A) It will return some value of the expression from the group, with a non-deterministic result.
B) It will return an equivalent NULL value when the expression is evaluated.
C) It will return the minimum value of those generated by the expression, with a deterministic result.
D) It will return a value equivalent to the median of those generated by the expression, which may be a non-deterministic result.


4. What functionalities are available when a Snowflake worksheet is shared with other users? (Select TWO).

A) If multiple users edit and run a shared worksheet at the same time, each run of the worksheet will create a new version.
B) If the worksheet is being edited, the collaborators will be able to see these edits in real-time.
C) Whenever a user with permissions runs a worksheet, the existing version history of the worksheet will be overwritten.
D) Users with edit permissions can view past versions of the worksheet.
E) Collaborators can share the worksheet across Snowflake accounts.


5. Consider the following chart.

What can be said about the correlation for sales over time between the two categories?

A) There is a positive correlation.
B) There is no correlation. (Selected)
C) There is a non-linear correlation.
D) There is a negative correlation.


Solutions:

Question # 1
Answer: C
Question # 2
Answer: B
Question # 3
Answer: A
Question # 4
Answer: A,B
Question # 5
Answer: B

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