Databricks-Machine-Learning-Professional Exam Practice Test Instant Access

Question 1

Which of the following operations in Feature Store Client fs can be used to return a Spark DataFrame of a data set associated with a Feature Store table?

Afs.create_table

Bfs.write_table

Cfs.get_table

DThere is no way to accomplish this task with fs

Efs.read_table

Answer : A

Question 2

Which of the following describes label drift?

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

BNone of these describe label drift

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

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

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

Answer : C

Question 3

A machine learning engineer is in the process of implementing a concept drift monitoring solution. They are planning to use the following steps:

1. Deploy a model to production and compute predicted values

2. Obtain the observed (actual) label values

3. _____

4. Run a statistical test to determine if there are changes over time

Which of the following should be completed as Step #3?

AObtain the observed values (actual) feature values

BMeasure the latency of the prediction time

CRetrain the model

DNone of these should be completed as Step #3

ECompute the evaluation metric using the observed and predicted values

Answer : D

Question 4

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 5

A data scientist wants to remove the star_rating column from the Delta table at the location path. To do this, they need to load in data and drop the star_rating column.

Which of the following code blocks accomplishes this task?

Aspark.read.format(''delta'').load(path).drop(''star_rating'')

Bspark.read.format(''delta'').table(path).drop(''star_rating'')

CDelta tables cannot be modified

Dspark.read.table(path).drop(''star_rating'')

Espark.sql(''SELECT * EXCEPT star_rating FROM path'')

Answer : D

Question 6

A data scientist is using MLflow to track their machine learning experiment. As a part of each MLflow run, they are performing hyperparameter tuning. The data scientist would like to have one parent run for the tuning process with a child run for each unique combination of hyperparameter values.

They are using the following code block:

The code block is not nesting the runs in MLflow as they expected.

Which of the following changes does the data scientist need to make to the above code block so that it successfully nests the child runs under the parent run in MLflow?

AIndent the child run blocks within the parent run block

BAdd the nested=True argument to the parent run

CRemove the nested=True argument from the child runs

DProvide the same name to the run name parameter for all three run blocks

EAdd the nested=True argument to the parent run and remove the nested=True arguments from the child runs

Answer : E

Question 7

A data scientist is utilizing MLflow to track their machine learning experiments. After completing a series of runs for the experiment with experiment ID exp_id, the data scientist wants to programmatically work with the experiment run data in a Spark DataFrame. They have an active MLflow Client client and an active Spark session spark.

Which of the following lines of code can be used to obtain run-level results for exp_id in a Spark DataFrame?

Aclient.list_run_infos(exp_id)

Bspark.read.format('delta').load(exp_id)

CThere is no way to programmatically return row-level results from an MLflow Experiment.

Dmlflow.search_runs(exp_id)

Espark.read.format('mlflow-experiment').load(exp_id)

Answer : B

Databricks-Machine-Learning-Professional Databricks Certified Machine Learning Professional Exam Practice Test