DSA-C03 Exam Dumps | You are developing a machine learning model using scikit-learn within Visual Studio Code (VS Code) and

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Question 37

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Question 37/143

You are developing a machine learning model using scikit-learn within Visual Studio Code (VS Code) and connecting directly to Snowflake to access a large dataset. You need to authenticate to Snowflake using Key Pair Authentication, but want to avoid storing the private key directly within your VS Code project or environment variables for security reasons. Which of the following approaches offers the MOST secure way to manage and access the private key for Snowflake authentication from VS Code?

A. Store the encrypted private key in a configuration file within your VS Code project and decrypt it at runtime using a password-based encryption algorithm.

B. Store the private key in a secure vault (e.g., HashiCorp Vault, AWS Secrets Manager, Azure Key Vault) and retrieve it dynamically within your VS Code script using the appropriate API or SDK.

C. Store the private key in a password-protected ZIP archive and extract it during the Snowflake connection process.

D. Use the Snowflake CLI to generate a temporary access token and hardcode it into your VS Code script for authentication.

E. Store the private key in a secure database table within Snowflake and query it dynamically.

Correct Answer: B

Storing the private key in a secure vault like HashiCorp Vault, AWS Secrets Manager, or Azure Key Vault is the most secure approach. These vaults are designed to securely store and manage sensitive information like private keys. They offer features like access control, auditing, and encryption at rest and in transit. Dynamically retrieving the key minimizes the risk of accidental exposure compared to storing it in configuration files or environment variables, even when encrypted. Options A, C, D, and E pose significant security risks.

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