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Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

1. What will the following query return?
SELECT * FROM testtable SAMPLE BLOCK (0.012) REPEATABLE (99992);

A) A sample of a table in which each block of rows has a 0.012% probability of being included in the sample, with the seed set to 99992.
B) A sample of a table in which each block of rows has a 1.2% probability of being included in the sample where repeated elements are allowed.
C) A sample containing 99992 records of a table in which each block of rows has a 0.012% probability of being included in the sample.
D) A sample of a table in which each block of rows has a 1.2% probability of being included in the sample, with the seed set to 99992.

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

3. 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 a row-access policy defined.
B) Table_b has more rows than Table_a.
C) A multi-cluster warehouse was used to run Query 1.
D) The USE_CACHED_RESULT was set to FALSE before running Query 2.

4. A large, complicated query is used to generate a data set for a report on the most recent month. It is taking longer than expected. A review of the Query Profile shows excessive spilling. How can the performance of the query be improved WITHOUT increasing costs?

A) Run the query against zero-copy clones of the source tables to avoid contention with other queries.
B) Split the query into multiple steps, replacing Common Table Expressions (CTEs) with temporary tables to process the data in smaller batches.
C) Create a materialized view clustered on a date column, on the table that is causing the spilling.
D) Change the source tables into external tables to establish and take advantage of custom partitioning.

5. A Data Analyst created two functions and one procedures:
The Analyst then runs this query:

The Analyst then runs this query:

What will be the output?

A) 30
B) 10
C) Null
D) 20

Solutions: