In SCADA systems, why do we keep historical data for long periods?
Think about how past data helps in understanding system behavior over time.
Historical data allows operators and engineers to analyze trends, detect anomalies, and make informed decisions to improve system performance and reliability.
What is the output of this SQL query on a SCADA historical database?
SELECT COUNT(*) FROM sensor_data WHERE timestamp > NOW() - INTERVAL '7 days';
Look at the WHERE clause filtering data newer than 7 days ago.
The query counts all sensor data records with timestamps within the last 7 days, showing how much data was collected recently.
Which workflow correctly describes archiving historical data from SCADA systems to long-term storage?
Think about the logical order: extract, compress, transfer, then verify.
The correct workflow extracts the data to archive, compresses it to save space, transfers it securely to cloud storage, and finally verifies the data integrity to ensure no corruption.
After setting up historical data storage, operators notice missing data points for certain hours. What is the most likely cause?
Consider what would stop data from being recorded temporarily.
If the data collection service stops, no data is gathered during that time, causing gaps in historical records.
Which option is the best practice to secure historical data stored in SCADA systems?
Think about protecting data from unauthorized access and loss.
Encrypting data both when stored and when sent, combined with strict access controls, protects sensitive historical data from theft or tampering.