ML Ops Questions
Practice questions for ML Ops topic in Databricks Certified Machine Learning Professional. 88 questions covering this domain.
What does Databricks MLOps Stacks implement for a machine learning project?
A data profiling monitor is attached to a Delta table containing timestamped rows of feature data. Which profile type should be selected?
A data scientist wants to enable joining inference table rows with external ground truth labels. Which field in the inference table schema should they...
A team's automated retraining job uses Lakeflow Jobs and detects that the model's performance has degraded below a threshold. After retraining and reg...
When configuring a Lakehouse Monitoring inference profile, what is the recommended choice for the baseline table?
A team deploys a model using MLOps Stacks with GitHub Actions CI/CD. A PR is merged to main, and the training job runs in staging. The model passes va...
An ML team's Lakehouse Monitoring time series profile stops showing new metrics after 30 days of data. The team is surprised because the table has dat...
To initialize an MLOps Stacks project using Databricks Asset Bundles, which command should the engineer run?
What configuration file format does Databricks Asset Bundles use to define the bundle project structure, resources, and deployment settings?
An ML team enables an inference profile on a Delta table that contains model serving request logs. Each row has a timestamp, feature inputs, and model...
An ML engineer uses Databricks Asset Bundles to manage three deployment environments: development, staging, and production. Where should environment-s...
An ML engineer wants to add a custom monitoring metric that computes the Wasserstein distance between the distribution of predictions in the current w...
Which Databricks CLI command initializes a new Databricks Asset Bundle project from a template?
What is the maximum table size supported by a Lakehouse Monitoring snapshot profile?
An ML engineer configures inference tables on a Mosaic AI Model Serving endpoint. The endpoint receives a batch input with 5 rows in a single request....
Which three components make up the default Databricks MLOps Stacks project?
Which two CI/CD tools does Databricks MLOps Stacks natively support for automated testing and deployment workflows?
A data science team uses MLOps Stacks on Databricks. A data scientist submits a pull request with changes to the feature engineering notebook. What ha...
An ML team uses Databricks Asset Bundles with three targets (dev, staging, prod). The production target uses a different service principal identity fo...
After making changes to ML pipeline code in a Databricks Asset Bundle project, an engineer wants to deploy the updated job definition to the configure...
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