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Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

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

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

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

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

3. What will the following query return?
SELECT * FROM testtable SAMPLE BLOCK (0.012) REPEATABLE (99992);

A) A sample of a table in which each block of rows has a 0.012% probability of being included in the sample, with the seed set to 99992.
B) A sample containing 99992 records of a table in which each block of rows has a 0.012% probability of being included in the sample.
C) A sample of a table in which each block of rows has a 1.2% probability of being included in the sample, with the seed set to 99992.
D) A sample of a table in which each block of rows has a 1.2% probability of being included in the sample where repeated elements are allowed.

4. Table TB_A with column COL_B contains an ARRAY. Which statement will select the last element of the ARRAY?

A) SELECT COL_B[-1] FROM TB_A;
B) SELECT GET(COL_B, ARRAY_SIZE(COL_B)-1) FROM TB_A;
C) SELECT LAST_VALUE(COL_B) FROM TB_A;
D) SELECT COL_B[ARRAY_SIZE(COL_B)] FROM TB_A;

5. What scheme is used by Snowflake to estimate the approximate similarity between two or more data sets?

A) MINHASH
B) APPROX_TOP_K
C) APPROX_PERCENTILE
D) HyperLogLog

Solutions: