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Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

1. Why would an INFER_SCHEMA table function be used?

A) To detect the metadata schema from a table cell that contains JSON data
B) To detect the file metadata schema from staged data files that contain semi-structured data
C) To detect the file metadata schema from staged data files that contain unstructured data
D) To retrieve the column definitions from a previously-loaded database table

2. A Data Analyst needs to temporarily hide a tile in a dashboard. The data will need to be available in the future, and additional data may be added. Which tile should be used?

A) Duplicate
B) Unplace
C) Show/Hide
D) Delete

3. A Data Analyst has created a custom filter called branch_region on a Snowflake dashboard. The filter contains a list of regions where the company has stores. How should the filter be referenced in dashboard queries?

A) :branch_region
B) %branch_region
C) $branch_region
D) ::branch_region

4. A Data Analyst creates and populates the following table:
create or replace table aggr(v int) as select * from values (1), (2), (3), (4); The Analyst then executes this query:
select percentile_disc(0.60) within group (order by v desc) from aggr;
What will be the result?

A) 1
B) 3
C) 2
D) 4

5. A Data Analyst created a model called modelX using SNOWFLAKE.ML.FORECAST. The Analyst needs to predict the next few values and save the result directly into tableX. What step does the Analyst need to take after calling the modelX!FORECAST function?

A) List the cache content, then use the data saved in the RESULT_SCAN for tableX.
B) Pass the new table as a function argument.
C) Load the function call results directly INTO tableX.
D) Create the table by querying the RESULT_SCAN.

Solutions: