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Snowflake DAA-C01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Prepare and Load Data | 15–20% | - Data ingestion methods: COPY INTO, stages, Snowpipe - External tables and data validation - File formats: CSV, JSON, Parquet, Avro |
| Build and Troubleshoot Advanced SQL Queries | 20–25% | - Complex joins, subqueries, window functions - Semi-structured data processing - Query optimization and troubleshooting |
| Perform Simple Data Transformations for Analysis | 15–20% | - Views, materialized views, CTEs - Data cleansing, standardization, type conversion - Handling NULLs and structuring datasets |
| Perform Predictive Analysis | 5–10% | - Using Snowflake ML and built-in analytics - Forecasting and predictive modeling |
| Perform Descriptive and Diagnostic Analysis | 10–15% | - Statistical summarization and trend analysis - Anomaly detection and root cause analysis - Exploratory and ad-hoc analysis |
| Use Built-in Functions and Create UDFs | 10–15% | - User-Defined Functions (UDFs) - Scalar, aggregate, table, system functions |
| Prepare and Present Data | 10–15% | - Data visualization and reporting - Snowsight dashboards and sharing results - Align outputs with business requirements |
Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:
1. What does the "SQL keyword" refer to in the context of adding filters to a worksheet?
A) The table name containing the static filter "key" values
B) The name of a User-Defined Function (UDF) used to define the filter "key" values
C) The filter name to be inserted into queries
D) The name of the function used to generate the filter
2. A table named STUDENT is created:
What will be the output?
A)
B)
C)
D) 
3. 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 COUNT(DISTINCT country, city) FROM TABLE1;
C) SELECT HLL(country, city) FROM TABLE1;
D) SELECT DISTINCT COUNT(country, city) FROM TABLE1;
4. 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) The USE_CACHED_RESULT was set to FALSE before running Query 2.
B) Table_b has a row-access policy defined.
C) A multi-cluster warehouse was used to run Query 1.
D) Table_b has more rows than Table_a.
5. 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;
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: D | Question # 3 Answer: C | Question # 4 Answer: B | Question # 5 Answer: A |
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