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Snowflake DAA-C01 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Use Built-in Functions and Create UDFs10–15%- User-Defined Functions (UDFs)
- Scalar, aggregate, table, system functions
Topic 2: Perform Predictive Analysis5–10%- Using Snowflake ML and built-in analytics
- Forecasting and predictive modeling
Topic 3: Prepare and Load Data15–20%- External tables and data validation
- Data ingestion methods: COPY INTO, stages, Snowpipe
- File formats: CSV, JSON, Parquet, Avro
Topic 4: Perform Simple Data Transformations for Analysis15–20%- Data cleansing, standardization, type conversion
- Views, materialized views, CTEs
- Handling NULLs and structuring datasets
Topic 5: Prepare and Present Data10–15%- Align outputs with business requirements
- Data visualization and reporting
- Snowsight dashboards and sharing results
Topic 6: Perform Descriptive and Diagnostic Analysis10–15%- Exploratory and ad-hoc analysis
- Anomaly detection and root cause analysis
- Statistical summarization and trend analysis
Topic 7: Build and Troubleshoot Advanced SQL Queries20–25%- Complex joins, subqueries, window functions
- Semi-structured data processing
- Query optimization and troubleshooting

Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

Question #1

A scorecard tile on a Snowsight dashboard shows a comparison between the industry average employee age (which is 34) and a company's average employee age (which is 38). The scorecard tile looks like this:
Comparison with industry average

How should this tile be interpreted?

  • A. 38 is the value and 12% is the standard deviation.
  • B. 38 is the comparison and 12% is the average age change in the last year.
  • C. 38 is the comparison and 12% is the projected industry growth.
  • D. 38 is the value and 12% is the percent difference from the comparison.
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Correct Answer: D  🗳️

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Question #2

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. Copy and paste the worksheets into the dashboard.
  • B. Query the QUERY_HISTORY view to find those queries, then add the queries into the dashboard.
  • C. Open each worksheet, copy the query, then paste the query into the dashboard.
  • D. Move the worksheets into the dashboard.
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Correct Answer: D  🗳️

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Question #3

A company is looking for new headquarters and wants to minimize the distances employees have to commute.
The company has geographic data on employees' residences. Through the Snowflake Marketplace, the company obtained geographic data for possible locations of the new headquarters. How can the distance between an employee's residence and potential headquarters locations be calculated in meters with the LEAST operational overhead?

  • A. HAVERSINE
  • B. ST_LENGTH
  • C. ST_DISTANCE
  • D. ST_HAUSDORFFDISTANCE
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Correct Answer: C  🗳️

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Question #4

A Data Analyst created two tables that are related by a foreign key, using the following commands:

Then the Analyst renamed the referenced table using the following command: ALTER TABLE mother RENAME TO father; What happens to the foreign key after the referenced table is renamed?

  • A. The foreign key is dropped because the reference is no longer valid.
  • B. The foreign key becomes invalid because the referenced table no longer exists.
  • C. The foreign key is updated to reference the renamed table.
  • D. The foreign key will not be used during the query rewrite.
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Correct Answer: C  🗳️

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Question #5

What scheme is used by Snowflake to estimate the approximate similarity between two or more data sets?

  • A. MINHASH
  • B. HyperLogLog
  • C. APPROX_TOP_K
  • D. APPROX_PERCENTILE
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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