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Snowflake DAA-C01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Build and Troubleshoot Advanced SQL Queries | 20–25% | - Query optimization and troubleshooting - Complex joins, subqueries, window functions - Semi-structured data processing |
| Topic 2: Use Built-in Functions and Create UDFs | 10–15% | - User-Defined Functions (UDFs) - Scalar, aggregate, table, system functions |
| Topic 3: Prepare and Load Data | 15–20% | - External tables and data validation - Data ingestion methods: COPY INTO, stages, Snowpipe - File formats: CSV, JSON, Parquet, Avro |
| Topic 4: Perform Predictive Analysis | 5–10% | - Forecasting and predictive modeling - Using Snowflake ML and built-in analytics |
| Topic 5: Perform Descriptive and Diagnostic Analysis | 10–15% | - Statistical summarization and trend analysis - Exploratory and ad-hoc analysis - Anomaly detection and root cause analysis |
| Topic 6: Perform Simple Data Transformations for Analysis | 15–20% | - Views, materialized views, CTEs - Data cleansing, standardization, type conversion - Handling NULLs and structuring datasets |
| Topic 7: Prepare and Present Data | 10–15% | - Snowsight dashboards and sharing results - Data visualization and reporting - Align outputs with business requirements |
Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:
This query is run:
SQL
SELECT
customer.id,
ANY_VALUE(customer.name),
SUM(orders.value)
FROM customer
JOIN orders ON customer.id = orders.customer_id
GROUP BY customer.id;
What is the effect of ANY_VALUE in this syntax?
- A. It will return a value equivalent to the median of those generated by the expression, which may be a non-deterministic result.
- B. It will return some value of the expression from the group, with a non-deterministic result.
- C. It will return the minimum value of those generated by the expression, with a deterministic result.
- D. It will return an equivalent NULL value when the expression is evaluated.
Correct Answer: B 🗳️
Explanation: Only visible for Dumpexams members. You can sign-up / login (it's free).
A Data Analyst for a ride-sharing company needs to assess the relationship between the number of active drivers in a city, and the average waiting time for passengers. Which query will determine if an increase in the number of active drivers is associated with a decrease in the average waiting time?
- A. SELECT CITY, VARIANCE(ACTIVE_DRIVERS, AVERAGE_WAITING_TIME) FROM
RIDE_DATA GROUP BY CITY; - B. SELECT CITY, SUM(ACTIVE_DRIVERS), VARIANCE(AVERAGE_WAITING_TIME) FROM RIDE_DATA GROUP BY CITY;
- C. SELECT CITY, CORR(ACTIVE_DRIVERS, AVERAGE_WAITING_TIME) FROM RIDE_DATA GROUP BY CITY;
- D. SELECT CITY, SUM(ACTIVE_DRIVERS), AVG(AVERAGE_WAITING_TIME) FROM
RIDE_DATA GROUP BY CITY;
Correct Answer: C 🗳️
Explanation: Only visible for Dumpexams members. You can sign-up / login (it's free).
Which aggregate functions can be used to provide values for a given bucket in Snowsight charts? (Select THREE).
- A. Mode
- B. Max
- C. Standard Deviation
- D. HLL
- E. Any Value
- F. Average
Correct Answer: B,E,F 🗳️
Explanation: Only visible for Dumpexams members. You can sign-up / login (it's free).
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 retrieve the column definitions from a previously-loaded database table
- C. To detect the file metadata schema from staged data files that contain unstructured data
- D. To detect the metadata schema from a table cell that contains JSON data
Correct Answer: A 🗳️
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A Data Analyst has a very large table with columns that contain country and city names. Which query will provide a very quick estimate of the total number of different values of these two columns?
- A. SELECT COUNT(country, city) FROM TABLE1;
- B. SELECT DISTINCT COUNT(country, city) FROM TABLE1;
- C. SELECT HLL(country, city) FROM TABLE1;
- D. SELECT COUNT(DISTINCT country, city) FROM TABLE1;
Correct Answer: C 🗳️
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