CDS Automation & Scripting 2

Question 1

A data steward wants to schedule a Python script to run every night at 2 AM to refresh data quality metrics. Which tool is most appropriate in a Linux environment?

Accepted Answer

cron

Answer

cron is the standard Linux scheduler for running scripts at defined time intervals.

Question 2

Which scripting concept allows a data steward to reuse the same validation logic across multiple datasets without duplicating code?

Accepted Answer

Functions or modules

Answer

Functions and modules encapsulate logic for reuse, reducing duplication and maintenance burden.

Question 3

When automating data ingestion, a script encounters a missing required field in an incoming record. What is the best automated response?

Accepted Answer

Log the error and route the record to a quarantine table

Answer

Logging and quarantining preserves bad records for review while allowing valid records to continue processing.

Question 4

A data steward is automating a metadata tagging process using a REST API. Which HTTP method should be used to update an existing metadata record?

Accepted Answer

PUT or PATCH

Answer

PUT replaces an entire resource and PATCH updates partial fields; both are correct for updating existing records.

Question 5

In a data pipeline automation script, what is the purpose of idempotency?

Accepted Answer

Ensuring the script produces the same result regardless of how many times it is run

Answer

Idempotency guarantees that re-running a script (e.g., after failure) does not cause duplicate or inconsistent results.

(CDS) Certified Data Steward Practice Test

(CDS) Certified Data Steward Practice Test

CDS Automation & Scripting 2