Exam Name: SnowPro Advanced: Data Analyst Certification Exam
Certification Provider: Snowflake
Corresponding Certification: SnowPro Advanced
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Snowflake DAA-C01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Prepare and Present Data | 10–15% | - Snowsight dashboards and sharing results - Data visualization and reporting - Align outputs with business requirements |
| Perform Simple Data Transformations for Analysis | 15–20% | - Handling NULLs and structuring datasets - Data cleansing, standardization, type conversion - Views, materialized views, CTEs |
| Perform Predictive Analysis | 5–10% | - Forecasting and predictive modeling - Using Snowflake ML and built-in analytics |
| Build and Troubleshoot Advanced SQL Queries | 20–25% | - Semi-structured data processing - Complex joins, subqueries, window functions - Query optimization and troubleshooting |
| Perform Descriptive and Diagnostic Analysis | 10–15% | - Statistical summarization and trend analysis - Exploratory and ad-hoc analysis - Anomaly detection and root cause analysis |
| Use Built-in Functions and Create UDFs | 10–15% | - Scalar, aggregate, table, system functions - User-Defined Functions (UDFs) |
| Prepare and Load Data | 15–20% | - External tables and data validation - Data ingestion methods: COPY INTO, stages, Snowpipe - File formats: CSV, JSON, Parquet, Avro |
Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:
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 * FROM FCT_SALES SAMPLE 10;
- C. SELECT TOP 10 ROWS * FROM FCT_SALES;
- D. SELECT TOP (10 ROWS) * FROM FCT_SALES;
- E. SELECT TOP 10 * FROM FCT_SALES;
Correct Answer: A,E 🗳️
Explanation: Only visible for Lead1Pass members. You can sign-up / login (it's free).
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. Table_b has more rows than Table_a.
- B. A multi-cluster warehouse was used to run Query 1.
- C. The USE_CACHED_RESULT was set to FALSE before running Query 2.
- D. Table_b has a row-access policy defined.
Correct Answer: D 🗳️
Explanation: Only visible for Lead1Pass members. You can sign-up / login (it's free).
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 value and 12% is the standard deviation.
- 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.
Correct Answer: D 🗳️
Explanation: Only visible for Lead1Pass 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.
Correct Answer: B 🗳️
Explanation: Only visible for Lead1Pass members. You can sign-up / login (it's free).
A single variant data column table RAW_SOURCE has the following JSON records:
A Data Analyst needs to get the value of the "f" field and have it in a consumable, tabular format. Which query should be used to meet this requirement?
- A. select data:events:f::number from raw_source;
- B. select value:f::number from raw_source, lateral flatten( input => data:events );
- C. select src.events:f::number from raw_source src;
- D. select value:f::number from raw_source, lateral flatten( input => data );
Correct Answer: B 🗳️
Explanation: Only visible for Lead1Pass members. You can sign-up / login (it's free).
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