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Updated: Jul 28, 2026

No. of Questions: 67 Questions & Answers with Testing Engine

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Snowflake DAA-C01 Exam Overview:

Certification Vendor:Snowflake
Exam Name:SnowPro Advanced: Data Analyst Certification Exam
Exam Number:DAA-C01
Exam Price:$375 USD
Related Certifications:SnowPro Core Certification
Exam Format:Multiple Choice, Multiple Select, True/False
Exam Duration:115 minutes
Certificate Validity Period:2 years
Available Languages:English
Passing Score:750 out of 1000 (scaled score)
Real Exam Qty:65
Sample Questions:Snowflake DAA-C01 Sample Questions
Exam Way:Online via Pearson VUE (proctored)
Pre Condition:Active SnowPro Core Certified credential required. 1 or more years of hands-on practical experience with Snowflake as a Data Analyst in a production environment recommended. Fluency with advanced SQL and knowledge of an additional computer language preferred.
Official Syllabus URL:https://learn.snowflake.com/en/certifications/snowpro-advanced-dataanalyst

Snowflake DAA-C01 Exam Syllabus Topics:

SectionWeightObjectives
Data Transformation and Data Modeling22%-30%- Design data models
  • 1. Snowflake schema design
  • 2. Data vault models
  • 3. Star schema design
- Transform data using SQL
  • 1. Common Table Expressions (CTEs)
  • 2. PIVOT/UNPIVOT operations
  • 3. Window functions
  • 4. QUALIFY clauses
Data Analysis30%-32%- Perform advanced analytics using SQL
  • 1. Time-series analysis
  • 2. Snowflake-specific analytical features
  • 3. Aggregate functions
Data Ingestion and Data Preparation15%-20%- Prepare data and load into Snowflake
  • 1. Load data from external/internal stages into a table
  • 2. Load files using Snowsight
- Enrich data by identifying and accessing relevant data from the Snowflake Marketplace
  • 1. Find external data sets that correlate with available data
  • 2. Create tables and views
  • 3. Use Secure Data Sharing (Marketplace, Internal Marketplace, Private Listings, Listings)
- 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. Retrieve data from structured sources (CSV)
  • 4. Synthetic Data Generation
- Use best practice considerations relating to data integrity structures
  • 1. Implement constraints
  • 2. Perform table joins between parent/child tables
  • 3. Define primary keys for tables
- 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. Query tables to assess data elements and statistics maintained by Snowflake
  • 4. Determine the level of data granularity required
  • 5. Identify elements required for business goals using BI reports or SQL analysis
- 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
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

Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

1. What is a benefit of using SQL queries that contain secure views?

A) Snowflake secure views are more performant than regular views.
B) Users will not be able to make observations about the quantity of underlying data.
C) Only the number of scanned micro-partitions is exposed, not the number of bytes scanned.
D) The amount of data scanned, and the total data volume are obfuscated.


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

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


3. A Data Analyst needs to generate a graphic that will identify any natural clusters in a data set containing details about completed orders. Which Snowsight chart should be used?

A) Scatter plot
B) Line chart
C) Heat grid
D) Bar chart


4. Table TB_A with column COL_B contains an ARRAY. Which statement will select the last element of the ARRAY?

A) SELECT LAST_VALUE(COL_B) FROM TB_A;
B) SELECT COL_B[-1] FROM TB_A;
C) SELECT COL_B[ARRAY_SIZE(COL_B)] FROM TB_A;
D) SELECT GET(COL_B, ARRAY_SIZE(COL_B)-1) FROM TB_A;


5. A Data Analyst created a model called modelX using SNOWFLAKE.ML.FORECAST. The Analyst needs to predict the next few values and save the result directly into tableX. What step does the Analyst need to take after calling the modelX!FORECAST function?

A) List the cache content, then use the data saved in the RESULT_SCAN for tableX.
B) Create the table by querying the RESULT_SCAN.
C) Load the function call results directly INTO tableX.
D) Pass the new table as a function argument.


Solutions:

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

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