Snowflake DAA-C01 valid study dumps : SnowPro Advanced: Data Analyst Certification Exam

  • Exam Code: DAA-C01
  • Exam Name: SnowPro Advanced: Data Analyst Certification Exam
  • Updated: Aug 11, 2026
  • Q&As: 67 Questions and Answers

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DAA-C01 exam dumps

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Snowflake DAA-C01 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Transformation and Data Modeling22%-30%- Design data models
  • 1. Star schema design
  • 2. Data vault models
  • 3. Snowflake schema design
- Transform data using SQL
  • 1. Window functions
  • 2. Common Table Expressions (CTEs)
  • 3. PIVOT/UNPIVOT operations
  • 4. QUALIFY clauses
Topic 2: 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
- Use a collection system to retrieve data
  • 1. Synthetic Data Generation
  • 2. Retrieve data from semi-structured sources (Parquet, Avro, ORC, JSON, XML)
  • 3. Retrieve data from unstructured sources
  • 4. Retrieve data from structured sources (CSV)
- 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
- 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. Evaluate required transformations (table joins, set operations, ASOF JOINS)
  • 4. Query tables to assess data elements and statistics maintained by Snowflake
  • 5. Use commands to read metadata or alter context (DESCRIBE, SHOW, USE)
- Enrich data by identifying and accessing relevant data from the Snowflake Marketplace
  • 1. Create tables and views
  • 2. Find external data sets that correlate with available data
  • 3. Use Secure Data Sharing (Marketplace, Internal Marketplace, Private Listings, Listings)
- Prepare data and load into Snowflake
  • 1. Load data from external/internal stages into a table
  • 2. Load files using Snowsight
Topic 3: 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. Present analytical results
  • 2. Snowsight dashboards
Topic 4: Data Analysis30%-32%- Perform advanced analytics using SQL
  • 1. Aggregate functions
  • 2. Time-series analysis
  • 3. Snowflake-specific analytical features

Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

1. A Data Analyst created two functions and one procedures:
The Analyst then runs this query:

The Analyst then runs this query:

What will be the output?

A) 30
B) 10
C) 20
D) Null


2. 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


3. 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;


4. Which query will provide this data without incurring additional storage costs?

A) CREATE TABLE DEV.PUBLIC.TRANS_HIST AS (SELECT * FROM PROD.PUBLIC.TRANS_HIST WHERE extract(year from (TRANS_DATE)) = 2019);
B) CREATE TABLE DEV.PUBLIC.TRANS_HIST LIKE PROD.PUBLIC.TRANS_HIST;
C) CREATE TABLE DEV.PUBLIC.TRANS_HIST AS (SELECT * FROM PROD.PUBLIC.
TRANS_HIST);
D) CREATE TABLE DEV.PUBLIC.TRANS_HIST CLONE PROD.PUBLIC.TRANS_HIST;


5. A Data Analyst creates and populates the following table:
create or replace table aggr(v int) as select * from values (1), (2), (3), (4); The Analyst then executes this query:
select percentile_disc(0.60) within group (order by v desc) from aggr;
What will be the result?

A) 2
B) 3
C) 4
D) 1


Solutions:

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

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