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Reference: https://www.databricks.com/learn/certification/machine-learning-professional
Databricks Certified Machine Learning Professional Sample Questions:
A Machine Learning Engineer has previously built a feature table for model training and inference using a batch mode approach:
They have been informed that they now require these features to be available in "real-time", with latency on the order of a minute. Their manager has informed them there is now a Kafka stream from which they can stream live data, and they need to have this ingested and available for low- latency feature lookups.
Which change to their existing code will achieve this?
- A. Change the incoming_df to be a dataframe based on a readStream() from the kafka source, the write_table() method will provide a low-latency lookup on this data.
- B. Change the incoming_df to be a dataframe based on a readStream() from the Kafka source and publish the table as an online table with the streaming option set to True.
- C. Create a custom pyfunc MLflow model which processes results of the Kafka stream for on demand feature calculation.
- D. Run a triggered workflow to ingest the Kafka data to a dataframe that they can use with their existing write_table() command.
Correct Answer: B 🗳️
Explanation: Only visible for Prep4pass members. You can sign-up / login (it's free).
A data scientist has developed a model to predict whether or not it will rain using the expected temperature and expected cloud coverage. However, the proportion of days where it actually rains has increased dramatically from the proportion in the data on which the model was trained.
Which type of drift is present in the above scenario?
- A. Feature drift
- B. Concept drift
- C. Label drift
- D. Prediction drift
Correct Answer: C 🗳️
Explanation: Only visible for Prep4pass members. You can sign-up / login (it's free).
Which MLflow component is used to log parameters, metrics, and artifacts during model training?
- A. MLflow Tracking
- B. MLflow Projects
- C. Model Registry
- D. MLflow Models
Correct Answer: A 🗳️
Explanation: Only visible for Prep4pass members. You can sign-up / login (it's free).
A Data Scientist is using Spark ML to train a model for detecting fraudulent transactions (1:
fraudulent, 0: non-fraudulent). To maximize the model's overall AUC (ROC) score, the Data Scientist wants to perform hyperparameter tuning on a Random Forest classifier. Due to budget constraints, the tuning process must be completed efficiently to avoid excessive compute costs.
Which approach will fulfill their needs?
- A.
- B.
- C.
- D.
Correct Answer: A 🗳️
Explanation: Only visible for Prep4pass members. You can sign-up / login (it's free).
A data scientist set up a machine learning pipeline to automatically log feature importance data from a CSV with each run. They now want to view the feature importance data in Databricks.
Which location in Databricks will show this data?
- A. The Artifacts section of the MLflow Run page
- B. The Data section of the MLflow Run page/span>
- C. The MLflow Model Registry Model page
- D. The Artifacts section of the MLflow Experiment page
Correct Answer: A 🗳️
Explanation: Only visible for Prep4pass members. You can sign-up / login (it's free).
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