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Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

1. A Data Analyst executes a complex query. Which query will allow the Analyst to access the results a second time?

A) SELECT * FROM TABLE(INFORMATION_SCHEMA.QUERY_HISTORY());
B) SELECT * FROM TABLE(RESULT_SCAN(LAST_QUERY_ID()));
C) SELECT LAST_QUERY_ID(-1);
D) DESC RESULT LAST_QUERY_ID();

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

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

4. What are the PRIMARY reasons for using integrity constraints on Snowflake tables? (Select TWO).

A) To enforce that records with a UNIQUE column must have all distinct values in that column.
B) To allow for clustering on the primary and foreign keys by specifying them as clustering keys.
C) To enforce that records with a NOT NULL column must have values in that column.
D) To enforce that a value in a foreign key must match the value of a primary or unique key in a parent table.
E) To enable team members to see how tables relate to one another.

5. Which Snowflake SQL would a Data Analyst use in a trained Cortex model named forecast_model to retrieve the components that contribute to the predictions?

A) forecast_model!SHOW_EVALUATION_METRICS()
B) forecast_model!FORECAST()
C) forecast_model!EXPLAIN_FEATURE_IMPORTANCE()
D) forecast_model!SHOW_TRAINING_LOGS()

Solutions: