MLOps Testing and Data Quality Quiz

Which type of testing is specifically required for ML solutions due to the involvement of data and models?

• System testing

• Unit testing

• Integration testing

• Data testing

What is the primary goal of data testing in ML solutions?

• To ensure the system's speed

• To check data quality for model training

• To validate system interfaces

• To improve user interface design

Which factor is not one of the five data quality factors for ML data testing?

• Accuracy

• Volume

• Consistency

• Timeliness

Which practice involves documenting and storing data in required formats for data quality assurance?

• Data governance

• Data cataloging

• Data scaling

• Data integrity enforcement

How can data pipelines avoid issues with data duplication?

• By using encryption

• By managing data lineage

• By creating backup copies

• By reducing data volume

What type of test checks model performance after the training stage?

• Unit testing

• Pre-training tests

• Post-training tests

• Acceptance testing

Which attack introduces incorrect data into the training dataset?

• Model poisoning

• Algorithm poisoning

• Data hijacking

• Dataset poisoning

What does Kubernetes primarily manage in production environments?

• Data storage

• Container orchestration

• Network security

• Code versioning

Which service on Microsoft Azure provides Kubernetes infrastructure as a service?

• Azure Machine Learning

• Azure DevOps

• Azure Container Service

• Azure Kubernetes Service (AKS)

Which pipeline trigger is used for changes in the master branch?

• Schedule trigger

• Artifactory trigger

• Git trigger

• Database trigger