Snowflake SnowPro Advanced: Data Analyst Certification - DAA-C01 certification

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Snowflake DAA-C01 Exam Syllabus Topics:

Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

1. A Data Analyst created a cost overview dashboard in Snowsight. Management has asked for a system date filter to easily change the time period and refresh the data in all dashboard tiles with a single filter selection.
The system date filter is shown below:

The Analyst wants to apply the filter onto individual dashboard components.
Adding which where clause to the queries will apply the filter as required?

A) Where start_time = :daterange
B) Where start_time >= dateadd('days', -7, SYSDATE())
C) Where start_time = :date_filter
D) Where start_time >= dateadd('days', -7, CURRENT_TIMESTAMP())

2. 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)

3. A Data Analyst needs to add address details based on a customer's latitude and longitude to a customer sales database. The Analyst found a free Worldwide Address Data listing on the Snowflake Marketplace. The ACCOUNTADMIN placed the data set into a new database called ADDRESS_DATA. The Data Analyst needs to join the ADDRESS_DATA.OPENADDRESS table with the ORDERS table which is stored in the GLOBAL_DWH database. The combined data set needs to be created as a view. How can this be achieved?

A) Ask the ACCOUNTADMIN to grant the Data Analyst the IMPORTED_PRIVILEGES on the ADDRESS_DATA database and then create a view in the ADDRESS_DATA database.
B) Create a view in the GLOBAL_DWH database.
C) Create a view in the ADDRESS_DATA database.
D) Create a new schema called ENRICHED in the ADDRESS_DATA database and create this view in the ENRICHED schema.

4. Which query will provide this data without incurring additional storage costs?

A) CREATE TABLE DEV.PUBLIC.TRANS_HIST CLONE PROD.PUBLIC.TRANS_HIST;
B) CREATE TABLE DEV.PUBLIC.TRANS_HIST AS (SELECT * FROM PROD.PUBLIC.TRANS_HIST WHERE extract(year from (TRANS_DATE)) = 2019);
C) CREATE TABLE DEV.PUBLIC.TRANS_HIST LIKE PROD.PUBLIC.TRANS_HIST;
D) CREATE TABLE DEV.PUBLIC.TRANS_HIST AS (SELECT * FROM PROD.PUBLIC.
TRANS_HIST);

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

Solutions: