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Snowflake DAA-C01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Prepare and Present Data | 10–15% | - Align outputs with business requirements - Data visualization and reporting - Snowsight dashboards and sharing results |
| Prepare and Load Data | 15–20% | - Data ingestion methods: COPY INTO, stages, Snowpipe - File formats: CSV, JSON, Parquet, Avro - External tables and data validation |
| 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 |
| Use Built-in Functions and Create UDFs | 10–15% | - Scalar, aggregate, table, system functions - User-Defined Functions (UDFs) |
| Perform Simple Data Transformations for Analysis | 15–20% | - Data cleansing, standardization, type conversion - Handling NULLs and structuring datasets - Views, materialized views, CTEs |
| Perform Descriptive and Diagnostic Analysis | 10–15% | - Statistical summarization and trend analysis - Exploratory and ad-hoc analysis - Anomaly detection and root cause analysis |
Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:
1. A Data Analyst needs to generate a graphic that will identify any natural clusters in a data set containing details about completed orders. Which Snowsight chart should be used?
A) Scatter plot
B) Heat grid
C) Line chart
D) Bar chart
2. Why would an INFER_SCHEMA table function be used?
A) To detect the file metadata schema from staged data files that contain semi-structured data
B) To detect the metadata schema from a table cell that contains JSON data
C) To retrieve the column definitions from a previously-loaded database table
D) To detect the file metadata schema from staged data files that contain unstructured data
3. A Directed Acyclic Graph (DAG) of 12 tasks (ETLDAILY) failed because one of the tasks failed (STEP10), therefore the dependent tasks (STEP11 and STEP12) did not run. Which command is needed to re-run task STEP10 and the two dependent tasks?
A) ALTER TASK ETLDAILY RESUME;
B) EXECUTE TASK STEP10 RETRY LAST;
C) EXECUTE TASK ETLDAILY RETRY LAST;
D) ALTER TASK STEP10 RESUME;
4. 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) Run the query against zero-copy clones of the source tables to avoid contention with other queries.
B) Create a materialized view clustered on a date column, on the table that is causing the spilling.
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.
5. A Data Analyst has been asked to predict sales revenue through the end of the year. Which function will provide this information?
A) CORR
B) REGR_SLOPE
C) VARIANCE
D) COVAR_SAMP
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: B |




