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Snowflake DAA-C01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prepare and Load Data | 15–20% | - File formats: CSV, JSON, Parquet, Avro - External tables and data validation - Data ingestion methods: COPY INTO, stages, Snowpipe |
| Topic 2: Perform Simple Data Transformations for Analysis | 15–20% | - Handling NULLs and structuring datasets - Views, materialized views, CTEs - Data cleansing, standardization, type conversion |
| Topic 3: Prepare and Present Data | 10–15% | - Data visualization and reporting - Align outputs with business requirements - Snowsight dashboards and sharing results |
| Topic 4: Perform Descriptive and Diagnostic Analysis | 10–15% | - Exploratory and ad-hoc analysis - Anomaly detection and root cause analysis - Statistical summarization and trend analysis |
| Topic 5: Use Built-in Functions and Create UDFs | 10–15% | - Scalar, aggregate, table, system functions - User-Defined Functions (UDFs) |
| Topic 6: Perform Predictive Analysis | 5–10% | - Using Snowflake ML and built-in analytics - Forecasting and predictive modeling |
| Topic 7: Build and Troubleshoot Advanced SQL Queries | 20–25% | - Semi-structured data processing - Query optimization and troubleshooting - Complex joins, subqueries, window functions |
Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:
1. Which aggregate functions can be used to provide values for a given bucket in Snowsight charts? (Select THREE).
A) Standard Deviation
B) Any Value
C) HLL
D) Max
E) Mode
F) Average
2. 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) Pass the new table as a function argument.
C) Load the function call results directly INTO tableX.
D) Create the table by querying the RESULT_SCAN.
3. There are two similarly-structured and sized tables, Table_a and Table_b, in a schema with data populated in both tables. A Data Analyst is running queries as part of a preliminary analysis of the data to check the MAX value of a numeric column named num which is present in both the tables:
* Query 1: SELECT MAX(num) FROM Table_a;
* Query 2: SELECT MAX(num) FROM Table_b;
After running the queries, the Analyst observed that Query 2 ran significantly slower than Query 1. Why is this occurring?
A) Table_b has more rows than Table_a.
B) The USE_CACHED_RESULT was set to FALSE before running Query 2.
C) A multi-cluster warehouse was used to run Query 1.
D) Table_b has a row-access policy defined.
4. 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 HLL(country, city) FROM TABLE1;
B) SELECT COUNT(DISTINCT country, city) FROM TABLE1;
C) SELECT COUNT(country, city) FROM TABLE1;
D) SELECT DISTINCT COUNT(country, city) FROM TABLE1;
5. Which Snowflake feature or object can be used to dynamically create and execute SQL statements?
A) System-defined functions
B) Stored procedures
C) User-Defined Functions (UDFs)
D) Tasks
Solutions:
| Question # 1 Answer: B,D,F | Question # 2 Answer: D | Question # 3 Answer: D | Question # 4 Answer: A | Question # 5 Answer: B |






