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Snowflake DAA-C01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Use Built-in Functions and Create UDFs | 10–15% | - Scalar, aggregate, table, system functions - User-Defined Functions (UDFs) |
| Topic 2: Prepare and Present Data | 10–15% | - Snowsight dashboards and sharing results - Data visualization and reporting - Align outputs with business requirements |
| Topic 3: Perform Descriptive and Diagnostic Analysis | 10–15% | - Anomaly detection and root cause analysis - Statistical summarization and trend analysis - Exploratory and ad-hoc analysis |
| Topic 4: Perform Simple Data Transformations for Analysis | 15–20% | - Views, materialized views, CTEs - Handling NULLs and structuring datasets - Data cleansing, standardization, type conversion |
| Topic 5: Prepare and Load Data | 15–20% | - Data ingestion methods: COPY INTO, stages, Snowpipe - File formats: CSV, JSON, Parquet, Avro - External tables and data validation |
| Topic 6: Build and Troubleshoot Advanced SQL Queries | 20–25% | - Query optimization and troubleshooting - Complex joins, subqueries, window functions - Semi-structured data processing |
| Topic 7: Perform Predictive Analysis | 5–10% | - Using Snowflake ML and built-in analytics - Forecasting and predictive modeling |
Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:
A Data Analyst has been analyzing customer data in several worksheets. Each worksheet contains a complex query that provides clean and prepared data for visualizations. The Analyst has also created a Customer Overview dashboard in Snowsight. How should the Analyst add the worksheets in the Customer Analysis database to the dashboard, using the LEAST amount of operational overhead?
- A. Open each worksheet, copy the query, then paste the query into the dashboard.
- B. Copy and paste the worksheets into the dashboard.
- C. Move the worksheets into the dashboard.
- D. Query the QUERY_HISTORY view to find those queries, then add the queries into the dashboard.
Correct Answer: C 🗳️
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What functions should a Data Analyst use to run descriptive analytics on a data set? (Select TWO).
- A. REGR_SLOPE
- B. APPROX_COUNT_DISTINCT
- C. REGR_INTERCEPT
- D. ROW_NUMBER
- E. AVG
Correct Answer: B,E 🗳️
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What will be the output of this query?
SELECT 100::FLOAT * 20.78::INTEGER || ' Square Feet';
- A. 2100 Square Feet
- B. A conversion error
- C. 2078 Square Feet
- D. 2078.00 Square Feet
Correct Answer: A 🗳️
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Why would a Data Analyst use a dimensional model rather than a single flat table to meet BI requirements for a virtual warehouse? (Select TWO).
- A. Dimensions and facts allow power users to run ad-hoc analyses.
- B. Dimensional modelling will improve query performance over a single table.
- C. Snowflake generally performs better with dimensional modelling.
- D. Combining facts and dimensions in a single flat table limits the scalability and flexibility.
- E. Dimensional modelling will save on storage space since it is denormalized.
Correct Answer: A,D 🗳️
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While loading data into Snowflake using named file formats, a file format defined in which location has precedence?
- A. The stage definition
- B. The table definition
- C. The COPY INTO statement
- D. The schema definition
Correct Answer: C 🗳️
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