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Snowflake Certified SnowPro Specialty - Snowpark Sample Questions:
1. You are developing a secure UDF in Snowpark Python that needs to access sensitive data stored in an internal stage. The UDF should be accessible to users without granting them direct access to the stage. Which of the following security measures and code snippets are required to achieve this, assuming the stage is already created?
A) Create a UDF and grant USAGE on the stage to the role that owns the UDF.
B) Create a secure UDF using the ' VOLATILE keyword, allowing it to access secured data with current user's permissions.
C) Create a secure UDF and use the function to access stage credentials within the UDF's handler function.
D) Create an external function and grant access to the API integration that provides the security context.
E) Create a secure UDF and use a stored procedure owned by a role with access to the internal stage to retrieve data, passing the data to the UDF as an argument.
2. You have developed a Snowpark application that uses a Python UDF to perform sentiment analysis on text data extracted from JSON files stored in a Snowflake stage. The UDF relies on a large pre-trained machine learning model that is loaded during the UDF initialization. After deploying the application, you observe that the UDF initialization is taking a significant amount of time, causing slow query performance. What are the three MOST effective strategies to optimize the UDF initialization time in this scenario?
A) Utilize the 'context.add_dependency' method in Snowpark to specify the model file as a dependency. Snowflake will automatically distribute and cache the model file to the worker nodes.
B) Load the model outside the UDF definition within the Snowpark session, pass it as an argument to the UDF, then use the model as part of a vectorized UDF.
C) Use the 'cachetools' library to cache the loaded model within the UDF. This will help to avoid reloading the model every time the UDF is called.
D) Use the 'snowflake.snowpark.files.SnowflakeFile' class to load the model directly from the Snowflake stage within the UDF initializer, but only if the model is smaller than 256M
E) Use the 'streamlit' library and its caching capabilities to cache loaded models. The UDF should call the streamlit api to retrieve the already loaded model.
3. A data engineer is tasked with creating a Snowpark session using JWT authentication. They have a private key 'rsa_key.pff, a user name 'snowpark_user' , and an account identifier 'my_account'. The goal is to create a session object suitable for submitting Snowpark jobs. Which code snippet correctly demonstrates the instantiation of a session object using JWT?
A)
B)
C)
D)
E) 
4. You are setting up a development environment for Snowpark using Anaconda and encounter the following error: 'ModuleNotFoundError: No module named 'snowflake.snowpark". You have already installed the package using pip. What is the MOST likely cause of this error and how do you resolve it?
A) The Snowflake account identifier is not properly configured in your environment variables. Verify that 'SNOWFLAKE ACCOUNT is correctly set.
B) The 'snowflake-snowpark-python' package is not compatible with the version of Python installed in your Anaconda environment. Upgrade Python to the latest version.
C) The Anaconda environment is not activated. Activate the environment using 'conda activate
D) The 'snowflake-snowpark-python' package was installed in a different Anaconda environment than the one you are currently using. Ensure you are in the correct environment when running your Snowpark code.
E) The Snowflake driver is not installed. Install the Snowflake driver using 'pip install snowflake-connector-python'
5. You are tasked with automating the creation of Snowpark sessions using key pair authentication for multiple users. You have a function that retrieves connection parameters (account, user, private key, etc.) for each user from a secure configuration file. The private keys are stored in PEM format. However, some users' private keys are password-protected. Which of the following approaches ensures the secure and correct establishment of Snowpark sessions for all users, including those with password-protected private keys? Assume get_user config(username)' retrieves the user's configuration, including the private key and password (if any).
A)
B) Store the password for each user's private key in a separate, encrypted file and retrieve it during session creation.
C)
D) Require all users to remove the password protection from their private keys to simplify the session creation process.
E) Attempt to establish a session without a password. If it fails, prompt the user for the password and retry the session creation using the provided password. Store the password temporarily in memory.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A,B,C | Question # 3 Answer: B | Question # 4 Answer: C,D | Question # 5 Answer: C |




