Snowflake DAA-C01

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Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

1. 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 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 src.events:f::number from raw_source src;

2. A Data Analyst wants to transform query results. Which transformation option will incur compute costs?

A) Sorting a column by using the column options.
B) Showing a thousand separator for numeric columns.
C) Increasing or decreasing decimal precision.
D) Formatting date and timestamp columns.

3. A Data Analyst is working with three tables:

Which query would return a list of all brokers, a count of the customers each broker has. and the total order amount of their customers (as shown below)?

A)

B)

C)

D)

4. What option would allow a Data Analyst to efficiently estimate cardinality on a data set that contains trillions of rows?

A) SYSTEM$ESTIMATE
B) Count(Distinct *)
C) HLL(*)
D) Count(Distinct *)/Count(*)

5. A Data Analyst needs a sample of 10 rows from a table FCT_SALES that has billions of rows. Which commands can be used to accomplish this? (Select TWO).

A) SELECT TOP (10 ROWS) * FROM FCT_SALES;
B) SELECT * FROM FCT_SALES SAMPLE 10;
C) SELECT TOP 10 ROWS * FROM FCT_SALES;
D) SELECT TOP 10 * FROM FCT_SALES;
E) SELECT * FROM FCT_SALES SAMPLE (10 ROWS);

Solutions: