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Snowflake DAA-C01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Perform Predictive Analysis | 5–10% | - Using Snowflake ML and built-in analytics - Forecasting and predictive modeling |
| Topic 2: Prepare and Present Data | 10–15% | - Data visualization and reporting - Snowsight dashboards and sharing results - Align outputs with business requirements |
| Topic 3: Build and Troubleshoot Advanced SQL Queries | 20–25% | - Semi-structured data processing - Complex joins, subqueries, window functions - Query optimization and troubleshooting |
| Topic 4: Prepare and Load Data | 15–20% | - External tables and data validation - File formats: CSV, JSON, Parquet, Avro - Data ingestion methods: COPY INTO, stages, Snowpipe |
| Topic 5: Use Built-in Functions and Create UDFs | 10–15% | - User-Defined Functions (UDFs) - Scalar, aggregate, table, system functions |
| Topic 6: Perform Descriptive and Diagnostic Analysis | 10–15% | - Statistical summarization and trend analysis - Anomaly detection and root cause analysis - Exploratory and ad-hoc analysis |
| Topic 7: Perform Simple Data Transformations for Analysis | 15–20% | - Data cleansing, standardization, type conversion - Views, materialized views, CTEs - Handling NULLs and structuring datasets |
Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:
Question 1
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. Table_b has more rows than Table_a.
D. A multi-cluster warehouse was used to run Query 1.
Question 2
Table TB_A with column COL_B contains an ARRAY. Which statement will select the last element of the ARRAY?
A. SELECT COL_B[ARRAY_SIZE(COL_B)] FROM TB_A;
B. SELECT COL_B[-1] FROM TB_A;
C. SELECT LAST_VALUE(COL_B) FROM TB_A;
D. SELECT GET(COL_B, ARRAY_SIZE(COL_B)-1) FROM TB_A;
Question 3
Which Snowflake feature allows users to encapsulate a series of SQL statements into a reusable database object, facilitating modular code development?
A. User-Defined Function (UDF)
B. Common Table Expressions (CTE)
C. Stored procedure
D. Materialized view
Question 4
Consider the following chart.
What can be said about the correlation for sales over time between the two categories?
A. There is no correlation. (Selected)
B. There is a non-linear correlation.
C. There is a negative correlation.
D. There is a positive correlation.
Question 5
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. Combining facts and dimensions in a single flat table limits the scalability and flexibility.
B. Dimensional modelling will improve query performance over a single table.
C. Snowflake generally performs better with dimensional modelling.
D. Dimensions and facts allow power users to run ad-hoc analyses.
E. Dimensional modelling will save on storage space since it is denormalized.
Solutions:
| Question 1 Answer: B | Question 2 Answer: D | Question 3 Answer: C | Question 4 Answer: A | Question 5 Answer: A,D |
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