Pipeline scheduling and triggers in MLOps - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is a pipeline trigger in MLOps?

A pipeline trigger is an event or condition that starts the execution of a machine learning pipeline automatically, such as a code commit, a schedule, or a data update.

beginner

Explain the difference between manual and scheduled pipeline triggers.

Manual triggers require a user to start the pipeline by clicking a button or running a command. Scheduled triggers start the pipeline automatically at set times or intervals without user intervention.

intermediate

What is a cron expression in pipeline scheduling?

A cron expression is a string that defines the schedule for running a pipeline using time and date fields, like minutes, hours, day of month, month, and day of week.

intermediate

How can data changes trigger a pipeline run?

Data changes can trigger a pipeline when the system monitors data sources and starts the pipeline automatically if new data arrives or existing data is updated.

beginner

Why is pipeline scheduling important in MLOps?

Scheduling ensures pipelines run regularly to keep models updated with fresh data, improving accuracy and automating repetitive tasks without manual effort.

Which of the following is NOT a common pipeline trigger?

A Manual start by user

B Scheduled time using cron

C Random time intervals

D Data update event

Random time intervals are not a standard trigger method; triggers are usually manual, scheduled, or event-based.

What does a cron expression define in pipeline scheduling?

A The time and frequency to run the pipeline

B The user permissions for the pipeline

C The data source for the pipeline

D The pipeline's output format

A cron expression specifies when and how often the pipeline should run.

How can pipelines be triggered by data changes?

A By monitoring data sources for updates

B By manually checking data files

C By running pipelines on fixed schedules only

D By restarting the server

Monitoring data sources allows automatic triggering when new or updated data is detected.

Which trigger type requires user interaction to start the pipeline?

A Scheduled trigger

B Manual trigger

C Data trigger

D Event trigger

Manual triggers need a user to start the pipeline explicitly.

Why automate pipeline scheduling in MLOps?

A To increase manual checks

B To make pipelines run slower

C To avoid using data

D To reduce manual work and keep models updated

Automation saves time and ensures models use fresh data regularly.

Describe how pipeline triggers work and list three common types.

Think about what starts a pipeline automatically or by user action.

Explain the role of scheduling in MLOps pipelines and how cron expressions help.

Consider why pipelines need to run regularly without manual effort.