Databricks Machine Learning Professional Exam Questions Instant Access

Question 1

A data scientist has developed a model model and computed the RMSE of the model on the test set. They have assigned this value to the variable rmse. They now want to manually store the RMSE value with the MLflow run.

They write the following incomplete code block:

Which of the following lines of code can be used to fill in the blank so the code block can successfully complete the task?

Alog_artifact

Blog_model

Clog_metric

Dlog_param

EThere is no way to store values like this.

Answer : A

Question 2

A machine learning engineering team has written predictions computed in a batch job to a Delta table for querying. However, the team has noticed that the querying is running slowly. The team has already tuned the size of the data files. Upon investigating, the team has concluded that the rows meeting the query condition are sparsely located throughout each of the data files.

Based on the scenario, which of the following optimization techniques could speed up the query by colocating similar records while considering values in multiple columns?

AZ-Ordering

BBin-packing

CWrite as a Parquet file

DData skipping

ETuning the file size

Answer : E

Question 3

Which of the following describes the purpose of the context parameter in the predict method of Python models for MLflow?

AThe context parameter allows the user to specify which version of the registered MLflow Model should be used based on the given application's current scenario

BThe context parameter allows the user to document the performance of a model after it has been deployed

CThe context parameter allows the user to include relevant details of the business case to allow downstream users to understand the purpose of the model

DThe context parameter allows the user to provide the model with completely custom if-else logic for the given application's current scenario

EThe context parameter allows the user to provide the model access to objects like preprocessing models or custom configuration files

Answer : A

Question 4

Which of the following describes concept drift?

AConcept drift is when there is a change in the distribution of an input variable

BConcept drift is when there is a change in the distribution of a target variable

CConcept drift is when there is a change in the relationship between input variables and target variables

DConcept drift is when there is a change in the distribution of the predicted target given by the model

ENone of these describe Concept drift

Answer : D

Question 5

Which of the following statements describes streaming with Spark as a model deployment strategy?

AThe inference of batch processed records as soon as a trigger is hit

BThe inference of all types of records in real-time

CThe inference of batch processed records as soon as a Spark job is run

DThe inference of incrementally processed records as soon as trigger is hit

EThe inference of incrementally processed records as soon as a Spark job is run

Answer : E

Question 6

A data scientist has developed a model to predict ice cream sales using the expected temperature and expected number of hours of sun in the day. However, the expected temperature is dropping beneath the range of the input variable on which the model was trained.

Which of the following types of drift is present in the above scenario?

ALabel drift

BNone of these

CConcept drift

DPrediction drift

EFeature drift

Answer : E

Question 7

Which of the following Databricks-managed MLflow capabilities is a centralized model store?

AModels

BModel Registry

CModel Serving

DFeature Store

EExperiments

Answer : C

Databricks Certified Machine Learning Professional Databricks Machine Learning Professional Exam Questions