Snowflake SnowPro Advanced: Data Analyst Certification : DAA-C01

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Snowflake DAA-C01 Exam Syllabus Topics:

Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

1. How can a Data Analyst automatically create a table structure for loading a Parquet file?

A) Use INFER_SCHEMA together with the CREATE TABLE USING TEMPLATE command.
B) Use the GENERATE_COLUMN_DESCRIPTION with the CREATE TABLE LIKE command.
C) Use the INFER_SCHEMA together with the CREATE TABLE LIKE command.
D) Use the GENERATE_COLUMN_DESCRIPTION with the CREATE TABLE USING TEMPLATE command.

2. What is a benefit of using SQL queries that contain secure views?

A) Users will not be able to make observations about the quantity of underlying data.
B) Only the number of scanned micro-partitions is exposed, not the number of bytes scanned.
C) Snowflake secure views are more performant than regular views.
D) The amount of data scanned, and the total data volume are obfuscated.

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

4. A Data Analyst is working with a table that has 1 record per day, with sales information. Which window function would calculate a 7-day moving average of sales, where SALES_DATE represents the date column?

A) SUM(SALES) OVER (ORDER BY SALES_DATE ROWS BETWEEN 7 PRECEDING AND
CURRENT ROW)
B) AVG(SALES) OVER (ORDER BY SALES_DATE ROWS BETWEEN 6 PRECEDING AND
CURRENT ROW)
C) SUM(SALES) OVER (ORDER BY SALES_DATE ROWS BETWEEN 6 PRECEDING AND
CURRENT ROW)
D) AVG(SALES) OVER (ORDER BY SALES_DATE ROWS BETWEEN 7 PRECEDING AND
CURRENT ROW)

5. A Data Analyst executes a query in a Snowflake worksheet that returns the total number of daily sales, and the total amount for each sale. How can the Analyst check the distribution of the total amount, without running the query again?

A) Go to Chart and select a histogram that includes the two variables.
B) Go to Chart and select a bar chart that contains the two variables.
C) Click on the column header in the results and review the histogram.
D) Call the WIDTH_BUCKET function.

Solutions: