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MLOps

Cloudera Machine Learning Operations Professional

Cloudera's MLOps professional certification validates expertise in deploying, monitoring, and operationalizing machine learning models at scale on Cloudera platforms.

Provider

Cloudera

Level

Professional

Duration

2–4 months

Cost

$295

Passing Score

70%

Validity

2 years

Salary Impact

+$18,000–$28,000 avg

Prerequisites

ML fundamentals

Cloudera platform basics

Python or Scala

DevOps awareness

Exam Format

60 multiple-choice questions, 120 minutes, $295 USD

Exam Topics & Weights

ML lifecycle and governance

20%

Model deployment and serving

22%

Monitoring and retraining

20%

Infrastructure and orchestration

18%

Data pipelines for ML

20%

8-Week Study Plan

Weeks 1-2

Focus: ML lifecycle and Cloudera ML Operations platform

Cloudera University MLOps course

ML Operations concepts

Cloudera CML documentation

Weeks 3-4

Focus: Model deployment and serving strategies

Model serving architectures

Real-time and batch inference

API deployment patterns

Weeks 5-6

Focus: Monitoring, observability, and retraining

Model monitoring best practices

Data and prediction drift detection

Automated retraining workflows

Week 7

Focus: MLOps infrastructure and orchestration

Container orchestration

CI/CD for ML models

Infrastructure as code for ML

Week 8

Focus: Practice exams and case studies

Cloudera official practice exam

MLOps case studies

Real-world deployment patterns

Exam Tips & Strategies

MLOps is one of the hottest fields in 2026. This certification is valuable.

The exam focuses on operations and deployment, not model building. Study DevOps + ML.

Model monitoring and drift detection are critical—understand these deeply

Understand different deployment patterns: batch, real-time, edge, etc.

Infrastructure and orchestration skills are increasingly important

Cloudera competes with Databricks. Having both certifications is a strong career move.

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