Snowflake SnowPro Advanced: Data Analyst Certification : DAA-C01

DAA-C01 real exams

Exam Code: DAA-C01

Exam Name: SnowPro Advanced: Data Analyst Certification Exam

Updated: Jul 27, 2026

Q & A: 67 Questions and Answers

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Snowflake DAA-C01 Exam Syllabus Topics:

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

Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

1. A Data Analyst needs a sample of 10 rows from a table FCT_SALES that has billions of rows. Which commands can be used to accomplish this? (Select TWO).

A) SELECT TOP 10 * FROM FCT_SALES;
B) SELECT TOP (10 ROWS) * FROM FCT_SALES;
C) SELECT * FROM FCT_SALES SAMPLE 10;
D) SELECT TOP 10 ROWS * FROM FCT_SALES;
E) SELECT * FROM FCT_SALES SAMPLE (10 ROWS);


2. While loading data into Snowflake using named file formats, a file format defined in which location has precedence?

A) The schema definition
B) The table definition
C) The stage definition
D) The COPY INTO statement


3. A Data Analyst needs to write a query that will return all projects from a project table and all employees from an employee table. What type of join should be used in this query?

A) Cross join
B) Full outer join
C) Left outer join
D) Inner join


4. A Data Analyst is working with three tables:

Which query would return a list of all brokers, a count of the customers each broker has. and the total order amount of their customers (as shown below)?

A)

B)

C)

D)


5. A Data Analyst has been asked to predict sales revenue through the end of the year. Which function will provide this information?

A) CORR
B) REGR_SLOPE
C) COVAR_SAMP
D) VARIANCE


Solutions:

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

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