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Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

1. When building a Snowsight dashboard that will allow users to filter data within a worksheet, which Snowflake system filters should be used?

A) Include the :datebucket system filter in a WHERE clause, and include the :daterange system filter in a SELECT clause.
B) Include the :daterange system filter in a SELECT clause, and include the :datebucket system filter in a GROUP BY clause.
C) Include the :daterange system filter in a WHERE clause, and include the :datebucket system filter in a GROUP BY clause.
D) Include the :datebucket system filter in a WHERE clause, and include the :daterange system filter in a GROUP BY clause.

2. A Data Analyst runs a query in a Snowflake worksheet, and selects a numeric column from the result grid.
What automatically-generated contextual statistic can be visualized?

A) A key distribution
B) A histogram, displayed for all numeric, date, and time columns
C) A frequency distribution, displayed for all numeric columns
D) MIN/MAX values for the column

3. 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;

4. What does the "SQL keyword" refer to in the context of adding filters to a worksheet?

A) The filter name to be inserted into queries
B) The table name containing the static filter "key" values
C) The name of a User-Defined Function (UDF) used to define the filter "key" values
D) The name of the function used to generate the filter

5. 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 COUNT(DISTINCT country, city) FROM TABLE1;
C) SELECT HLL(country, city) FROM TABLE1;
D) SELECT DISTINCT COUNT(country, city) FROM TABLE1;

Solutions: