Snowflake SnowPro Advanced: Data Analyst Certification - DAA-C01

Snowflake DAA-C01 test insides dumps
  • Exam Code: DAA-C01
  • Exam Name: SnowPro Advanced: Data Analyst Certification Exam
  • Updated: Sep 07, 2026
  • Q & A: 67 Questions and Answers
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Snowflake DAA-C01 Exam Syllabus Topics:
SectionWeightObjectives
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. Present analytical results
  • 2. Snowsight dashboards
Data Analysis30%-32%- Perform advanced analytics using SQL
  • 1. Snowflake-specific analytical features
  • 2. Aggregate functions
  • 3. Time-series analysis
Data Transformation and Data Modeling22%-30%- Design data models
  • 1. Snowflake schema design
  • 2. Star schema design
  • 3. Data vault models
- Transform data using SQL
  • 1. PIVOT/UNPIVOT operations
  • 2. QUALIFY clauses
  • 3. Common Table Expressions (CTEs)
  • 4. Window functions
Data Ingestion and Data Preparation15%-20%- Use best practice considerations relating to data integrity structures
  • 1. Perform table joins between parent/child tables
  • 2. Define primary keys for tables
  • 3. Implement constraints
- Prepare data and load into Snowflake
  • 1. Load files using Snowsight
  • 2. Load data from external/internal stages into a table
- Perform data discovery to identify what is needed from available datasets
  • 1. Determine the level of data granularity required
  • 2. Identify elements required for business goals using BI reports or SQL analysis
  • 3. Use commands to read metadata or alter context (DESCRIBE, SHOW, USE)
  • 4. Evaluate required transformations (table joins, set operations, ASOF JOINS)
  • 5. Query tables to assess data elements and statistics maintained by Snowflake
- Implement data processing solutions
  • 1. Cleanse, conform, and enrich data
  • 2. Automate and implement data pipelines (scheduling)
  • 3. Respond to processing failures
  • 4. Use logging and monitoring solutions (auditing, data lineage)
- 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
- 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
Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

Question 1

A Data Analyst has a very large table with columns that contain country and city names. Which query will provide a very quick estimate of the total number of different values of these two columns?

A. SELECT COUNT(country, city) FROM TABLE1;
B. SELECT DISTINCT COUNT(country, city) FROM TABLE1;
C. SELECT COUNT(DISTINCT country, city) FROM TABLE1;
D. SELECT HLL(country, city) FROM TABLE1;


Question 2

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

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


Question 3

What option would allow a Data Analyst to efficiently estimate cardinality on a data set that contains trillions of rows?

A. HLL(*)
B. Count(Distinct *)
C. SYSTEM$ESTIMATE
D. Count(Distinct *)/Count(*)


Question 4

A Data Analyst is creating a Snowsight dashboard from a shared worksheet. What happens to the access and permissions of the users who initially had sharing privileges on the worksheet?

A. The original users temporarily lose access but regain it once the dashboard is created.
B. The original users gain additional access to the worksheet.
C. The original users lose access to the worksheet, their permissions on the worksheet are revoked.
D. The original users retain access and permissions on the worksheet.


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


Solutions:

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

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