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Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

1. 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) Create a new schema called ENRICHED in the ADDRESS_DATA database and create this view in the ENRICHED schema.
B) 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.
C) Create a view in the GLOBAL_DWH database.
D) Create a view in the ADDRESS_DATA database.

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

3. Why would a Data Analyst use a dimensional model rather than a single flat table to meet BI requirements for a virtual warehouse? (Select TWO).

A) Snowflake generally performs better with dimensional modelling.
B) Combining facts and dimensions in a single flat table limits the scalability and flexibility.
C) Dimensions and facts allow power users to run ad-hoc analyses.
D) Dimensional modelling will save on storage space since it is denormalized.
E) Dimensional modelling will improve query performance over a single table.

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

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

Solutions: