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Snowflake SnowPro Advanced DAA-C01

DAA-C01

Exam Code: DAA-C01

Exam Name: SnowPro Advanced: Data Analyst Certification Exam

Updated: Sep 12, 2026

Q & A: 67 Questions and Answers

DAA-C01 Free Demo download:

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Snowflake DAA-C01 Exam Syllabus Topics:

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

Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

Question #1
A Data Analyst has created a custom filter called branch_region on a Snowflake dashboard. The filter contains a list of regions where the company has stores. How should the filter be referenced in dashboard queries?

A. :branch_region
B. $branch_region
C. ::branch_region
D. %branch_region


Question #2
A Data Analyst wants to transform query results. Which transformation option will incur compute costs?

A. Showing a thousand separator for numeric columns.
B. Formatting date and timestamp columns.
C. Increasing or decreasing decimal precision.
D. Sorting a column by using the column options.


Question #3
The image shows a table with a variant column that is storing a JSON record:

This SQL query is run:

What will be the result?

A.

B.

C.

D.


Question #4
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. Line chart
B. Heat grid
C. Scorecard
D. Scatterplot


Question #5
Which Snowflake SQL would a Data Analyst use in a trained Cortex model named forecast_model to retrieve the components that contribute to the predictions?

A. forecast_model!FORECAST()
B. forecast_model!EXPLAIN_FEATURE_IMPORTANCE()
C. forecast_model!SHOW_EVALUATION_METRICS()
D. forecast_model!SHOW_TRAINING_LOGS()


Solutions:

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

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