How can you implement real-time threat detection for sensitive data streams in a lakehouse architecture to identify and mitigate potential security threats as data is ingested?

Real Exam

Utilize static rule-based threat detection models that trigger alerts based on predefined patterns of malicious activity.

15.5%

Rely solely on network-level intrusion detection systems (IDS) to monitor and protect data inflow into the lakehouse.

6.2%

Implement custom Spark Streaming jobs to parse and analyze incoming data streams for anomalies, using ML models trained on historical threat data.

32.6%

Integrate a third-party, real-time threat detection system that analyzes data streams and automatically flags or blocks suspicious activities.

45.7%

Databricks Certified Data Engineer - Professional