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Snowflake SnowPro Advanced DAA-C01 Braindumps

DAA-C01

Exam Code: DAA-C01

Exam Name: SnowPro Advanced: Data Analyst Certification Exam

Updated: Aug 11, 2026

Q & A: 67 Questions and Answers

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Snowflake DAA-C01 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Ingestion and Data Preparation15%-20%- 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. Retrieve data from unstructured sources
  • 2. Synthetic Data Generation
  • 3. Retrieve data from structured sources (CSV)
  • 4. Retrieve data from semi-structured sources (Parquet, Avro, ORC, JSON, XML)
- 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. Create tables and views
  • 2. Use Secure Data Sharing (Marketplace, Internal Marketplace, Private Listings, Listings)
  • 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
- Perform data discovery to identify what is needed from available datasets
  • 1. Evaluate required transformations (table joins, set operations, ASOF JOINS)
  • 2. Query tables to assess data elements and statistics maintained by Snowflake
  • 3. Identify elements required for business goals using BI reports or SQL analysis
  • 4. Use commands to read metadata or alter context (DESCRIBE, SHOW, USE)
  • 5. Determine the level of data granularity required
Topic 2: Data Presentation and Data Visualization28%-29%- Create dashboards
  • 1. Present analytical results
  • 2. Snowsight dashboards
- 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. Common Table Expressions (CTEs)
  • 2. Window functions
  • 3. QUALIFY clauses
  • 4. PIVOT/UNPIVOT operations
- Design data models
  • 1. Star schema design
  • 2. Data vault models
  • 3. Snowflake schema design
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 created two functions and one procedures:
The Analyst then runs this query:

The Analyst then runs this query:

What will be the output?

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


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


3. A Data Analyst executes a query in a Snowflake worksheet that returns the total number of daily sales, and the total amount for each sale. How can the Analyst check the distribution of the total amount, without running the query again?

A) Click on the column header in the results and review the histogram.
B) Go to Chart and select a histogram that includes the two variables.
C) Go to Chart and select a bar chart that contains the two variables.
D) Call the WIDTH_BUCKET function.


4. A Data Analyst created a cost overview dashboard in Snowsight. Management has asked for a system date filter to easily change the time period and refresh the data in all dashboard tiles with a single filter selection.
The system date filter is shown below:

The Analyst wants to apply the filter onto individual dashboard components.
Adding which where clause to the queries will apply the filter as required?

A) Where start_time >= dateadd('days', -7, SYSDATE())
B) Where start_time >= dateadd('days', -7, CURRENT_TIMESTAMP())
C) Where start_time = :daterange
D) Where start_time = :date_filter


5. A Data Analyst executes a complex query. Which query will allow the Analyst to access the results a second time?

A) SELECT * FROM TABLE(INFORMATION_SCHEMA.QUERY_HISTORY());
B) SELECT LAST_QUERY_ID(-1);
C) DESC RESULT LAST_QUERY_ID();
D) SELECT * FROM TABLE(RESULT_SCAN(LAST_QUERY_ID()));


Solutions:

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

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