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The validation of expertise, more career opportunities, salary enhancement, instant promotion, and membership of Databricks certified professional community. In this way, the Databricks Certified Machine Learning Professional (Databricks-Machine-Learning-Professional) can not only validate their skills and knowledge level but also put their careers on the right track. By doing this you can achieve your career objectives.

Databricks Databricks-Machine-Learning-Professional Exam Overview:

Certification Vendor:Databricks
Exam Name:Databricks Certified Machine Learning Professional Exam
Exam Number:Databricks-Machine-Learning-Professional
Exam Price:$200 USD
Real Exam Qty:59
Exam Format:Multiple choice, Multi-select
Available Languages:English
Passing Score:Not publicly disclosed (approximately 70%)
Related Certifications:Databricks Certified Machine Learning Associate
Exam Duration:120 minutes
Certificate Validity Period:2 years
Recommended Training:Machine Learning at Scale
Advanced Machine Learning Operations
Exam Registration:Databricks Certification Portal
Sample Questions:Databricks Databricks-Machine-Learning-Professional Sample Questions
Exam Way:Online proctored or in-person test center
Pre Condition:No mandatory prerequisites; recommended: 6+ months hands-on experience with Databricks ML, SparkML, MLflow, and Python
Official Syllabus URL:https://www.databricks.com/learn/certification/machine-learning-professional

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Databricks Databricks-Machine-Learning-Professional Exam Syllabus Topics:

TopicDetails
Topic 1
  • Test whether the updated model performs better on the more recent data
  • Identify when retraining and deploying an updated model is a probable solution to drift
Topic 2
  • Identify a use case for HTTP webhooks and where the Webhook URL needs to come
  • Identify advantages of using Job clusters over all-purpose clusters
Topic 3
  • Identify JIT feature values as a need for real-time deployment
  • Describe how to list all webhooks and how to delete a webhook
Topic 4
  • Describe the advantages of using the pyfunc MLflow flavor
  • Manually log parameters, models, and evaluation metrics using MLflow
Topic 5
  • Identify live serving benefits of querying precomputed batch predictions
  • Describe Structured Streaming as a common processing tool for ETL pipelines
Topic 6
  • Identify which code block will trigger a shown webhook
  • Describe the basic purpose and user interactions with Model Registry
Topic 7
  • Describe model serving deploys and endpoint for every stage
  • Identify scenarios in which feature drift and
  • or label drift are likely to occur

Databricks Certified Machine Learning Professional Sample Questions (Q156-Q161):

NEW QUESTION # 156
A machine learning engineer wants to log feature importance data from a CSV file at path importance_path with an MLflow run for model model.
Which of the following code blocks will accomplish this task inside of an existing MLflow run block?
A)

B)

C) mlflow.log_data(importance_path, "feature-importance.csv")
D) mlflow.log_artifact(importance_path, "feature-importance.csv")
E) None of these code blocks tan accomplish the task.

Answer: C


NEW QUESTION # 157
A machine learning engineer needs to select a deployment strategy for a new machine learning application. The feature values are not available until the time of delivery, and results are needed exceedingly fast for one record at a time.
Which of the following deployment strategies can be used to meet these requirements?

Answer: C


NEW QUESTION # 158
In a Spark ML Pipeline, what is the role of a Transformer?

Answer: A

Explanation:
A Transformer takes a dataset and transforms it into another dataset.


NEW QUESTION # 159
What is the main purpose of the Databricks Feature Store?

Answer: C

Explanation:
Feature Store allows teams to:
share features
avoid training/serving skew
maintain feature lineage.


NEW QUESTION # 160
A data scientist set up a machine learning pipeline to automatically log a data visualization with each run. They now want to view the visualizations in Databricks.
Which of the following locations in Databricks will show these data visualizations?

Answer: E


NEW QUESTION # 161
......

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