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Snowflake DAA-C01 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Prepare and Present Data | 10–15% | - Snowsight dashboards and sharing results
- Align outputs with business requirements
- Data visualization and reporting
|
| Perform Simple Data Transformations for Analysis | 15–20% | - Views, materialized views, CTEs
- Handling NULLs and structuring datasets
- Data cleansing, standardization, type conversion
|
| Use Built-in Functions and Create UDFs | 10–15% | - Scalar, aggregate, table, system functions
- User-Defined Functions (UDFs)
|
| Build and Troubleshoot Advanced SQL Queries | 20–25% | - Query optimization and troubleshooting
- Semi-structured data processing
- Complex joins, subqueries, window functions
|
| Perform Predictive Analysis | 5–10% | - Forecasting and predictive modeling
- Using Snowflake ML and built-in analytics
|
| Perform Descriptive and Diagnostic Analysis | 10–15% | - Statistical summarization and trend analysis
- Exploratory and ad-hoc analysis
- Anomaly detection and root cause analysis
|
| Prepare and Load Data | 15–20% | - External tables and data validation
- File formats: CSV, JSON, Parquet, Avro
- Data ingestion methods: COPY INTO, stages, Snowpipe
|
Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:
1. Which query will provide this data without incurring additional storage costs?
A) CREATE TABLE DEV.PUBLIC.TRANS_HIST CLONE PROD.PUBLIC.TRANS_HIST;
B) CREATE TABLE DEV.PUBLIC.TRANS_HIST AS (SELECT * FROM PROD.PUBLIC.TRANS_HIST WHERE extract(year from (TRANS_DATE)) = 2019);
C) CREATE TABLE DEV.PUBLIC.TRANS_HIST AS (SELECT * FROM PROD.PUBLIC.
TRANS_HIST);
D) CREATE TABLE DEV.PUBLIC.TRANS_HIST LIKE PROD.PUBLIC.TRANS_HIST;
2. 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 = :date_filter
C) Where start_time >= dateadd('days', -7, CURRENT_TIMESTAMP())
D) Where start_time = :daterange
3. A large, complicated query is used to generate a data set for a report on the most recent month. It is taking longer than expected. A review of the Query Profile shows excessive spilling. How can the performance of the query be improved WITHOUT increasing costs?
A) Create a materialized view clustered on a date column, on the table that is causing the spilling.
B) Run the query against zero-copy clones of the source tables to avoid contention with other queries.
C) Change the source tables into external tables to establish and take advantage of custom partitioning.
D) Split the query into multiple steps, replacing Common Table Expressions (CTEs) with temporary tables to process the data in smaller batches.
4. What are the PRIMARY reasons for using integrity constraints on Snowflake tables? (Select TWO).
A) To enforce that records with a UNIQUE column must have all distinct values in that column.
B) To enforce that a value in a foreign key must match the value of a primary or unique key in a parent table.
C) To enable team members to see how tables relate to one another.
D) To enforce that records with a NOT NULL column must have values in that column.
E) To allow for clustering on the primary and foreign keys by specifying them as clustering keys.
5. Given the following data:

This SELECT statement is executed:

What will be the result?
A) 1.84
B) 2.0
C) 200
D) 1.8
Solutions:
Question # 1 Answer: A | Question # 2 Answer: D | Question # 3 Answer: D | Question # 4 Answer: C,D | Question # 5 Answer: B |