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Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

1. Why would an INFER_SCHEMA table function be used?

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

2. 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

3. A table named STUDENT is created:

What will be the output?

A)

B)

C)

D)

4. The image shows a table with a variant column that is storing a JSON record:

This SQL query is run:

What will be the result?

A)

B)

C)

D)

5. Why would a Data Analyst use a dimensional model rather than a single flat table to meet BI requirements for a virtual warehouse? (Select TWO).

A) Dimensions and facts allow power users to run ad-hoc analyses.
B) Snowflake generally performs better with dimensional modelling.
C) Dimensional modelling will improve query performance over a single table.
D) Combining facts and dimensions in a single flat table limits the scalability and flexibility.
E) Dimensional modelling will save on storage space since it is denormalized.

Solutions: