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Snowflake DAA-C01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Perform Predictive Analysis | 5–10% | - Using Snowflake ML and built-in analytics - Forecasting and predictive modeling |
| 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% | - Views, materialized views, CTEs - Handling NULLs and structuring datasets - Data cleansing, standardization, type conversion |
| Perform Descriptive and Diagnostic Analysis | 10–15% | - Exploratory and ad-hoc analysis - Anomaly detection and root cause analysis - Statistical summarization and trend analysis |
| Prepare and Present Data | 10–15% | - Snowsight dashboards and sharing results - Align outputs with business requirements - Data visualization and reporting |
| Build and Troubleshoot Advanced SQL Queries | 20–25% | - Semi-structured data processing - Complex joins, subqueries, window functions - Query optimization and troubleshooting |
| Prepare and Load Data | 15–20% | - External tables and data validation - File formats: CSV, JSON, Parquet, Avro - Data ingestion methods: COPY INTO, stages, Snowpipe |
Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:
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. EXECUTE TASK STEP10 RETRY LAST;
- B. ALTER TASK STEP10 RESUME;
- C. ALTER TASK ETLDAILY RESUME;
- D. EXECUTE TASK ETLDAILY RETRY LAST;
Explanation: Only visible for Real4dumps members. You can sign-up / login (it's free).
The following code is run:
Then this statement is executed:
What will be the output of this statement?
- A.
- B.
- C.
- D.
Explanation: Only visible for Real4dumps members. You can sign-up / login (it's free).
A Data Analyst needs a sample of 10 rows from a table FCT_SALES that has billions of rows. Which commands can be used to accomplish this? (Select TWO).
- A. SELECT * FROM FCT_SALES SAMPLE (10 ROWS);
- B. SELECT TOP 10 ROWS * FROM FCT_SALES;
- C. SELECT TOP 10 * FROM FCT_SALES;
- D. SELECT TOP (10 ROWS) * FROM FCT_SALES;
- E. SELECT * FROM FCT_SALES SAMPLE 10;
Explanation: Only visible for Real4dumps 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, SUM(ACTIVE_DRIVERS), AVG(AVERAGE_WAITING_TIME) FROM
RIDE_DATA GROUP BY CITY; - D. SELECT CITY, CORR(ACTIVE_DRIVERS, AVERAGE_WAITING_TIME) FROM RIDE_DATA GROUP BY CITY;
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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 comparison and 12% is the average age change in the last year.
- B. 38 is the comparison and 12% is the projected industry growth.
- C. 38 is the value and 12% is the percent difference from the comparison.
- D. 38 is the value and 12% is the standard deviation.
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