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Snowflake Certified SnowPro Associate - Platform Certification Sample Questions:

1. A global e-commerce company stores product descriptions in various languages in a Snowflake table called 'PRODUCT DESCRIPTIONS. The table includes columns: `PRODUCT ID' ONT),
`LANGUAGE (VARCHAR), and 'DESCRIPTION' (VARCHAR). They need to create a procedure that dynamically translates all descriptions into English using Snowflake Cortex LLM's
'TRANSLATE' function and stores the translated descriptions in a new table 'PRODUCT DESCRIPTIONS EN'. The procedure should handle potential errors and log them to an error table called `TRANSLATION ERRORS. Which of the following code snippets BEST demonstrates how to implement this procedure, including error handling and logging? (Assume error logging table is already created and required privileges are granted)

A)

B)

C)

D)

E)

2. You are responsible for optimizing data loading into Snowflake from a large set of CSV files stored in Azure Blob Storage. The files contain millions of records and are updated daily You need to choose the MOST efficient method for loading this data, considering both performance and cost. Select TWO options that would best address this scenario.

A) Use a scheduled task that executes a COPY INTO statement with a large virtual warehouse (e.g., LARGE) at the end of each day.
B) Use the Snowflake web IJI to manually upload the CSV files on a daily basis.
C) Utilize Snowflake's Data Marketplace to subscribe to a pre-built data feed containing similar data.
D) Implement Snowpipe with a notification integration that triggers data loading only when new files are added to the Azure Blob Storage container, using a medium virtual warehouse.
E) Use Snowpipe with auto-ingest enabled and a dedicated X-SMALL virtual warehouse.

3. Which of the following statements about External Tables in Snowflake are true?

A) External tables provide read-only access to data stored in external cloud storage locations.
B) External tables can be directly updated using standard SQL DML statements (INSERT, UPDATE, DELETE).
C) Changes to the underlying files in the external stage are automatically reflected in the external table without any manual refresh.
D) External tables store data within Snowflake's internal storage.
E) External tables require a virtual warehouse to be online for data access.

4. You have a Snowflake database named 'SALES DB' containing schemas 'RAW' and
'TRANSFORMED'. The 'RAW' schema holds raw data ingested from various sources, and the
'TRANSFORMED' schema contains cleansed and transformed data ready for reporting. You need to grant the 'DATA ANALYST' role the ability to read all tables in the 'TRANSFORMED' schema but prevent them from modifying any objects. What is the MOST efficient and secure way to achieve this?

A) GRANT USAGE ON DATABASE SALES DB TO ROLE DATA ANALYST; GRANT USAGE ON SCHEMA SALES DB.TRANSFORMED TO ROLE DATA ANALYST; GRANT SELECT ON FUTURE TABLES IN SCHEMA SALES DB.TRANSFORMED TO ROLE DATA ANALYST;
B) GRANT ALL PRIVILEGES ON SCHEMA SALES DB.TRANSFORMED TO ROLE DATA
ANALYST;
C) GRANT USAGE ON DATABASE SALES DB TO ROLE DATA ANALYST; GRANT SELECT ON FUTURE TABLES IN SCHEMA SALES DB.TRANSFORMED TO ROLE DATA ANALYST;
D) GRANT SELECT ON SCHEMA SALES DB.TRANSFORMED TO ROLE DATA ANALYST;
E) GRANT SELECT ON ALL TABLES IN SCHEMA SALES DB.TRANSFORMED TO ROLE DATA ANALYST;

5. You are tasked with deploying a new data application to Snowflake. This application requires several schemas for staging, transformation, and reporting. What is the recommended approach to create these schemas using Infrastructure as Code (laC) and ensuring consistency across multiple Snowflake environments (DEV, TEST, PROD)?

A) Manually create the schemas in each environment using the Snowflake web UI, documenting the steps for repeatability.
B) Utilize Snowflake's data replication feature to replicate schemas between different environments
C) Utilize a third-party lac tool (e.g., Terraform) to define the schemas as resources, managing their creation and updates across environments.
D) Use a Snowflake client (e.g., SnowSQL) and a script to execute 'CREATE SCHEMA' statements, parameterizing the environment-specific database and schema names.
E) Copy the DDL (Data Definition Language) scripts generated by the Snowflake UI after manually creating schemas in one environment and executing them in others.

Solutions: