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Snowflake SnowPro Specialty - Native Apps Sample Questions:

1. A data engineer needs to upload a large (10 GB) data file to an internal stage within a Snowflake Native App package using Snowsight. Which of the following methods is the MOST efficient and recommended approach, considering factors like network stability and potential interruptions?

A) Using a third-party file transfer tool (e.g., rsync) to upload the file to an external stage and then copying it to the internal stage using Snowflake SQL commands.
B) Compress the file before uploading using Snowsight, this reduces size and ensures faster upload.
C) Breaking the file into smaller chunks (e.g., 100 MB each) and uploading them sequentially using Snowsight.
D) Using the Snowsight web interface directly to upload the file in a single operation.
E) Using the Snowflake CLI (SnowSQL) with the 'PUT command, enabling automatic retries and parallel uploads.

2. You are developing a Snowflake Native Application and need to track changes made to the application code across different versions. You want to leverage Snowflake's built-in capabilities for version control and auditing. Which of the following approaches is the MOST suitable and efficient for achieving this?

A) Use Snowflake's Time Travel feature to query historical versions of application code objects (e.g., stored procedures, UDFs) and compare differences between versions.
B) Utilize Snowflake's Information Schema views (e.g., 'INFORMATION_SCHEMA.PROCEDURES, 'INFORMATION SCHEMA.FUNCTIONS) in conjunction with Time Travel to query historical metadata and code definitions.
C) Manually maintain a change log in a separate Snowflake table, documenting each code modification with associated version numbers and timestamps.
D) Integrate with an external version control system (e.g., Git) and store application code and deployment scripts in the repository. Use CI/CD pipelines to manage deployments to Snowflake.
E) Use Snowflake's Streams feature to capture changes made to application code objects and store them in a separate change table for auditing.

3. You are developing a Streamlit application within a Snowflake Native App that needs to access a custom Python module ('my_module.py') containing utility functions. The module resides in the same stage as your Streamlit application code. How would you ensure that the Streamlit application can correctly import and use this module?

A) Use the method in your Streamlit application code to add the stage location to the Python module search path before importing my_module' .
B) Include in a 'requirements.txt' file and use 'pip install -r requirements.txt' within the Streamlit application's entrypoint script.
C) Use the function to dynamically load 'my_module.py' directly from the stage, specifying the full stage path.
D) Modify the ' PYTHONPATHS environment variable within the Snowflake environment to include the stage where 'my_module.py' is located.
E) Place 'my_module.py' in the same directory as your main Streamlit application file. Snowflake automatically includes all files in the same directory when deploying the application.

4. You're packaging a Snowflake Native Application that performs complex analytical computations on data within the consumer's account. This computation involves several intermediate tables and functions, all created within the application package. You want to optimize the application's performance and reduce storage costs in the consumer's account. Which of the following strategies can be employed to achieve these goals, especially considering that intermediate data is not intended to be directly accessible to the consumer?

A) Use external tables to store the intermediate results in cloud storage (e.g., AWS S3), accessed through a secure integration. This minimizes the storage footprint within the consumer's Snowflake account.
B) Create all intermediate tables as transient tables. Transient tables do not support Time Travel or Fail-safe, which reduces storage costs, and grant appropriate privileges to application roles.
C) Create all intermediate tables as standard permanent tables, relying on Snowflake's automatic data compression and storage optimization features to minimize costs. Grant limited privileges to the consumer to control data access.
D) Implement data pruning techniques within the application's logic to delete intermediate data as soon as it is no longer needed, even if permanent tables are used for intermediate steps.
E) Create all intermediate tables as temporary tables. Temporary tables are automatically dropped at the end of the session, minimizing storage costs and ensuring data privacy.

5. You're developing a Snowflake Native Application that stores user preferences in a table named 'USER PREFERENCES'. In version 1.0, this table only contained 'USER ID and 'THEME' columns. In version 2.0, you need to add a new 'LOCALE' column with a default value of 'en-CIS'. However, existing users should retain their existing preferences and not have the new 'LOCALE' column set to 'NULL'. Which of the following 'setup.sql' scripts correctly implements this requirement during the version upgrade?

A)

B)

C)

D)

E)

Solutions: