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Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

1. A Data Analyst created a cost overview dashboard in Snowsight. Management has asked for a system date filter to easily change the time period and refresh the data in all dashboard tiles with a single filter selection.
The system date filter is shown below:

The Analyst wants to apply the filter onto individual dashboard components.
Adding which where clause to the queries will apply the filter as required?

A) Where start_time = :date_filter
B) Where start_time >= dateadd('days', -7, CURRENT_TIMESTAMP())
C) Where start_time >= dateadd('days', -7, SYSDATE())
D) Where start_time = :daterange

2. A Data Analyst needs to write a query that will return all projects from a project table and all employees from an employee table. What type of join should be used in this query?

A) Full outer join
B) Cross join
C) Inner join
D) Left outer join

3. A Data Analyst created two tables that are related by a foreign key, using the following commands:

Then the Analyst renamed the referenced table using the following command: ALTER TABLE mother RENAME TO father; What happens to the foreign key after the referenced table is renamed?

A) The foreign key is dropped because the reference is no longer valid.
B) The foreign key will not be used during the query rewrite.
C) The foreign key is updated to reference the renamed table.
D) The foreign key becomes invalid because the referenced table no longer exists.

4. A Data Analyst needs to create a custom filter called state in a Snowflake dashboard using a SQL query.
Which query will include this custom filter?

A) select avg(total_income), state from taxpayer_wages group by state having state = :state;
B) select avg(total_income), state from taxpayer_wages group by state having state = 'state';
C) select avg(total_income), state from taxpayer_wages group by state having state = state;
D) select avg(total_income), state from taxpayer_wages group by state having state = @state;

5. What is a benefit of using SQL queries that contain secure views?

A) The amount of data scanned, and the total data volume are obfuscated.
B) Users will not be able to make observations about the quantity of underlying data.
C) Snowflake secure views are more performant than regular views.
D) Only the number of scanned micro-partitions is exposed, not the number of bytes scanned.

Solutions: