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Snowflake Certified SnowPro Associate - Platform Certification Sample Questions:

1. You are developing a data pipeline in Snowflake Notebooks. One cell contains Python code that uses the Snowpark DataFrame API to perform several data transformations. After executing the cell, you observe that the execution status is 'Canceled'. What are the possible causes for this status, and how can you diagnose the issue?

A) The Notebook environment encountered a memory error due to the size of the Snowpark DataFrame, leading to a cancellation.
B) The user manually canceled the cell execution using the Notebook interface.
C) The Snowflake warehouse was suspended due to inactivity, interrupting the Snowpark DataFrame operations.
D) An error occurred during the Snowpark DataFrame operations, triggering an automatic cancellation by the Snowflake engine.
E) A Snowflake administrator terminated the query associated with the Snowpark session.

2. A Snowflake architect is designing a data lake solution using Snowflake's external tables. The data lake contains JSON files stored in AWS S3. The architect needs to ensure that Snowflake can automatically discover new JSON files added to the S3 bucket and make them available for querying through the external table. Which of the following approaches provides the MOST efficient and scalable solution for automatically refreshing the external table metadata?
Schedule a daily task in Snowflake to execute 'ALTER EXTERNAL TABLE REFRESH' to manually update the metadata.

A) Configure an AWS Lambda function triggered by S3 events (e.g., `s3:ObjectCreated') to execute
'ALTER EXTERNAL TABLE REFRESH' via the Snowflake API whenever a new file is added to the S3 bucket.
B) Utilize Snowflake's automatic data clustering feature on the external table based on the file creation timestamp in S3. Snowflake will automatically update the metadata when new files are detected.
C) Use Snowflake's Snowpipe with auto-ingest configured to automatically load data from the S3 bucket into a Snowflake internal stage and then use the COPY INTO statement to load the data into a regular Snowflake table.
D) Enable Snowflake's Event Tables and configure them to capture S3 events. Then, create a stream on the Event Table and a task that triggers 'ALTER EXTERNAL TABLE REFRESH' whenever a new event is detected in the stream. Requires Snowflake Enterprise Edition or higher.

3. A data scientist has developed a Streamlit application within a Snowflake Notebook to perform predictive analytics on customer churn. The application uses a pre-trained machine learning model stored as a Snowflake stage object. The model takes several customer features as input, which are stored in a Snowflake table called 'CUSTOMER FEATURES'. The data scientist needs to ensure that the model is loaded efficiently and that the inference is performed securely within the Snowflake environment, minimizing data movement.
Which of the following approaches would be the MOST efficient and secure for loading the pre- trained model and performing the inference within the Snowflake environment using a Streamlit application?

A) Download the pre-trained model from the Snowflake stage to the Streamlit application's local storage and perform the inference using a standard Python machine learning library.
B) Use Streamlit's caching capabilities Cst.cache_resource') to load the pre-trained model from the Snowflake stage into the Streamlit application's memory. Then, perform the inference directly within the Streamlit application.
C) Implement Snowpark and load the model from the Snowflake stage, transforming and sending the data to the model with Snowpark session in Snowflake, leveraging Streamlit for visualization.
D) Create a Snowflake stored procedure that loads the pre-trained model from the Snowflake stage and performs the inference using SQL commands (if the model is compatible). Call this stored procedure from the Streamlit application.
E) Create a Snowflake external function (UDF) that loads the pre-trained model from the Snowflake stage and performs the inference. Call this UDF from the Streamlit application, passing the customer features as input.

4. A data engineer needs to grant SELECT privileges on all tables within a newly created schema named 'SALES DATA' to a role called 'ANALYST ROLE'. However, new tables may be added to this schema in the future. What is the most efficient and secure way to achieve this, ensuring that future tables automatically inherit the necessary permissions?

A) Grant SELECT privilege to `ANALYST ROLE directly on each table using `GRANT SELECT ON TABLE ... TO ROLE ANALYST ROLE;' after table creation.
B) Grant 'SELECT privilege to the PUBLIC role on all tables within the 'SALES_DATX schema.
C) Grant the USAGE privilege on the database containing the schema and SELECT privilege on
`FUTURE GRANTS for tables in 'SALES DATA' to the 'ANALYST ROLE using 'GRANT USAGE ON DATABASE TO ROLE ANALYST ROLE; GRANT SELECT ON FUTURE TABLES IN SCHEMA SALES DATA TO ROLE ANALYST ROLE;'
D) Create a custom role that inherits from 'ANALYST ROLE and grant 'SELECT privilege on all tables to this new role.
E) Use a stored procedure to automatically grant the SELECT privilege to 'ANALYST ROLE whenever a new table is created in the 'SALES DATA' schema.

5. A security auditor discovers that multiple users are using the 'ACCOUNTADMIN' role directly for their daily tasks. This violates the principle of least privilege. Which of the following actions should you take to remediate this situation? (Choose two)

A) Implement Multi-Factor Authentication (MFA) for all users with the 'ACCOUNTADMIN' role to reduce the risk of unauthorized access.
B) Educate the users about the risks of using the 'ACCOUNTADMIN' role and instruct them to use it only when absolutely necessary.
C) Grant the 'SECURITYADMIN' role to these users instead of `ACCOUNTADMINS.
D) Create a view that hides sensitive data and grant 'SELECT' on the view to users. Keep granting the 'ACCOUNTADMIN' role.
E) Create custom roles with specific privileges required for their tasks and grant those roles to the users.
Revoke the role from these users.

Solutions: