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Snowflake SnowPro Advanced: Data Engineer (DEA-C02) Sample Questions:

1. You are tasked with creating an external function in Snowflake that calls a REST API. The API requires a bearer token for authentication, and the function needs to handle potential network errors and API rate limiting. Which of the following code snippets demonstrates the BEST practices for defining and securing this external function, including error handling?

A) Option D
B) Option A
C) Option E
D) Option C
E) Option B

2. You are creating a Snowflake Listing to share data with multiple consumers. One consumer requires access to the complete dataset while other consumers need access to a subset of the data based on geographical region (e.g., only data related to the 'US'). You want to minimize data duplication and management overhead. Select all the valid ways to implement this using Snowflake Data Sharing features.

A) Create multiple Listings, one for each region and one for the complete dataset.
B) Share the base tables in the Listing and instruct each consumer to filter the data based on their region using a WHERE clause.
C) Share the base tables in the Listing and use Row Access Policies to filter data based on region for specific consumers and allow full access to the entire dataset for the consumer requiring full access. Monitor usage through Snowflake's account usage views.
D) Create multiple secure views, each filtered by region, and create a single Listing that shares all views. Grant access to the appropriate view based on the consumer's region.

3. You have created a masking policy called which redacts salary information based on the user's role. You have applied this policy to the 'SALARY column in the 'EMPLOYEES table. However, after applying the policy, you notice that even users with the 'ACCOUNTADMIN' role are seeing the masked data, which is not the intended behavior. The intention is that 'ACCOUNTADMIN' and 'SECURITYADMIN' roles should always see the real salary data'. What is the MOST likely cause of this issue and what would you suggest fix that?

A) The masking policy does not explicitly exclude the 'ACCOUNTADMIN' and 'SECURITYADMIN' roles. Modify the masking policy to include a condition that checks for these roles and returns the original value if they are active. e.g., 'CASE WHEN IN ('ACCOUNTADMIN', 'SECURITYADMIN') THEN val ELSE END'
B) The 'ACCOUNTADMIN' role does not have the 'OWNERSHIP' privilege on the table. Grant the 'OWNERSHIP' privilege to 'ACCOUNTADMIN' on the 'EMPLOYEES' table.
C) The 'ACCOUNTADMIW and 'SECURITYADMIIV roles do not have the 'APPLY MASKING POLICY privilege. Grant this privilege to the roles.
D) The 'ACCOUNTADMIN' and roles need to have 'SELECT' privilege on the 'SNOWFLAKACCOUNT USAGE.MASKING POLICIES view
E) The masking policy is not properly activated. Run the ALTER TABLE EMPLOYEES MODIFY COLUMN SALARY SET MASKING POLICY salary_mask' command again.

4. You are designing a data governance strategy for a Snowflake data warehouse. One of the key requirements is to track data lineage for sensitive data, specifically Personally Identifiable Information (PII). You need to understand how PII data flows through various transformations and tables. Which Snowflake feature, when combined with appropriate tagging and metadata management practices, can BEST help you achieve this?

A) Snowflake Secure Data Sharing
B) Snowflake's Resource Monitors
C) Snowflake Data Masking policies
D) Snowflake INFORMATION_SCHEMA views and Account Usage views
E) Snowflake Cloning

5. A Snowflake data warehouse contains a table named 'SALES TRANSACTIONS' with the following columns: 'TRANSACTION ID', 'PRODUCT D', 'CUSTOMER D', 'TRANSACTION DATE, and 'SALES AMOUNT'. You need to optimize a query that calculates the total sales amount per product for a given month. The 'SALES TRANSACTIONS' table is very large (billions of rows), and queries are slow. Given the following initial query: SELECT PRODUCT ID, SUM(SALES AMOUNT) AS TOTAL SALES FROM SALES TRANSACTIONS WHERE TRANSACTION DATE BETWEEN '2023-01-07' AND '2023-01-31' GäOUP BY PRODUCT ID; Which of the following actions, when combined, would MOST effectively improve the performance of this query?

A) Create a materialized view that pre-aggregates the total sales amount per product and month.
B) Create a clustering key on 'PRODUCT_ID and 'TRANSACTION_DATE columns in the 'SALES_TRANSACTIONS' table.
C) Create a temporary table with the results of the query and query that table instead.
D) Increase the virtual warehouse size to the largest available size.
E) Convert the column to a VARCHAR data type.

Solutions: