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Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

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

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

3. A single variant data column table RAW_SOURCE has the following JSON records:

A Data Analyst needs to get the value of the "f" field and have it in a consumable, tabular format. Which query should be used to meet this requirement?

A) select data:events:f::number from raw_source;
B) select src.events:f::number from raw_source src;
C) select value:f::number from raw_source, lateral flatten( input => data:events );
D) select value:f::number from raw_source, lateral flatten( input => data );

4. What functions should a Data Analyst use to run descriptive analytics on a data set? (Select TWO).

A) AVG
B) ROW_NUMBER
C) REGR_SLOPE
D) APPROX_COUNT_DISTINCT
E) REGR_INTERCEPT

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) Create the table by querying the RESULT_SCAN.
D) Load the function call results directly INTO tableX.

Solutions: