I Agree
When considering the implementation of Salesforce Shield, particularly Shield Platform Encryption, AW Computing should be aware of the implications on system functionality and data handling processes. Here are some key considerations:

**C. Paused flows can cause data to be saved in an unencrypted state.**

This is an important consideration because:

- **Paused Flows and Encryption**: If your organization utilizes Salesforce Shield, particularly Platform Encryption, it’s crucial to understand how paused flows handle data. When a flow is paused, the state of the data being processed might be saved temporarily, which could potentially be in an unencrypted form. This can pose a security risk if sensitive data is involved. Knowing this can help in planning how to manage paused states and ensure compliance with data protection policies.

**A. Einstein Lead Scoring is available on encrypted fields.** (This statement is incorrect)
- Einstein Lead Scoring typically does not support encrypted fields due to the nature of the machine learning models requiring access to actual data values to make predictions. Encrypting fields can restrict the ability of certain Salesforce features, like Einstein, to access or utilize the data fully.

**B. Encrypted fields are able to be referenced in flows.** (This statement is technically correct but simplistic)
- While you can reference encrypted fields in flows, there may be limitations on how you can use them, especially concerning any operations that require decrypting the value, such as comparisons or data manipulations within the flow.

**D. Shield Platform Encryption can be used with custom metadata types.** (This statement is incorrect)
- Salesforce Shield Platform Encryption does not typically extend to custom metadata types. Custom metadata types store configuration data, not operational data, and thus the encryption options for these types are usually not the same as for standard or custom objects.

Thus, option **C** is...

should be C