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Mammoth Club All levels 1 sections 7 lectures

Exam 9 - Databricks Certified Machine Learning Professional

Test your knowledge with 50+ questions from the Model Deployment section of the Databricks Certified Machine Learning Professional certification. Find out if you’re ready to ace the exam — can you describe continuous predictions in a time-based prediction store as a scenario for streaming deployments, convert a batch deployment pipeline’s inference step to a streaming deployment pipeline, convert a batch deployment pipeline’s writing step to a streaming deployment pipeline, explain the benefits of real-time inference for a small number of records or fast prediction computations, identify JIT feature values as a requirement for real-time deployment, query a Model Serving–enabled model in the Production and Staging stages, and explain why cloud RESTful services in containers are best suited for production-grade real-time deployments? And much more!

01
Skill level
All levels
02
Sections
1
03
Lectures
7
04
Instructor
Team Mammoth
What's inside

This course includes.

1
Sections
7
Lectures
7
Quizzes
Certificate of completion
Included
Mobile and desktop access
Included
AI learning assistance
Included
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Course content

Curriculum & lectures.

1 sections · 7 lectures
+ Exam 7 lectures
Continuous predictions in time-based prediction store as a scenario for streaming deployments Locked
Convert a batch deployment pipeline inference to a streaming deployment pipeline Locked
Convert a batch deployment pipeline writing to a streaming deployment pipeline Locked
Benefits of real-time inference for a small number of records or fast prediction computations Locked
Identify JIT feature values as a need for real-time deployment Locked
Query a Model Serving enabled model in the Production stage and Staging stage Locked
How cloud RESTful services in containers is best for production-grade real-time deployments Locked

Ready to start building?

Test your knowledge with 50+ questions from the Model Deployment section of the Databricks Certified Machine Learning Professional certification. Find out if you’re ready to ace the exam — can you describe continuous predictions in a time-based prediction store as a scenario for streaming deployments, convert a batch deployment pipeline’s inference step to a streaming deployment pipeline, convert a batch deployment pipeline’s writing step to a streaming deployment pipeline, explain the benefits of real-time inference for a small number of records or fast prediction computations, identify JIT feature values as a requirement for real-time deployment, query a Model Serving–enabled model in the Production and Staging stages, and explain why cloud RESTful services in containers are best suited for production-grade real-time deployments? And much more!

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