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**Transaksi:**
* **Purpose:** Tools used for assessing and quantifying risks associated with AI systems.
Security is a big deal, and it's something Databricks takes very seriously. DBFS has several security features to protect your data. Firstly, **DBFS** integrates with your cloud provider's security features. This means you can leverage your existing security policies and controls to protect your data stored in DBFS. For instance, you can use IAM roles in AWS, service principals in Azure, or service accounts in GCP to control access to your data. Secondly, DBFS supports access control lists (ACLs). ACLs allow you to define granular permissions for your data. You can specify which users or groups can read, write, or execute files and folders in DBFS. This helps you to control who can access your data and prevent unauthorized access. This helps to protect your sensitive data from prying eyes and unauthorized modifications. Thirdly, data in DBFS is encrypted at rest and in transit. This means that your data is protected from unauthorized access, whether it's being stored or transferred over the network. DBFS uses industry-standard encryption algorithms to encrypt your data. This ensures that your data is protected from various security threats. Additionally, Databricks regularly audits its security practices and infrastructure to ensure the ongoing security of DBFS. This includes vulnerability scanning, penetration testing, and security incident response. Databricks is committed to providing a secure and reliable data platform.
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* **Legacy and Impact:** Tri Wulandari likely considers the legacy she wants to leave behind and the impact she wants to have on the world. Her aspirations may include mentoring others, contributing to her community, or driving positive change in her field. Thinking about her legacy motivates her to continue striving for excellence and making meaningful contributions. Leaving a positive legacy is a powerful motivator and a testament to a life well-lived.
