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AWSSpecialtyRetired · 31 March 2026

AWS Certified Machine Learning – Specialty

MLS-C01

Retired specialty exam. Bank retained for ML fundamentals practice.

This exam is retired — no longer supported

This exam was retired on 31 March 2026 and can no longer be sat, so CertifyCloudx no longer offers practice questions or mock exams for it. The exam details and the official syllabus below are kept for reference.

Withdrawn — CertifyCloudx does not prepare candidates for this exam any more. What follows is the official exam guide, kept for reference.

What's on the exam

4 domains · 15 task statements, straight from the official exam guide (as of 2026-09-14).

  1. 1.1Create data repositories for ML
    • Identify data sources (for example, content and location, primary sources such as user data).
    • Determine storage mediums (for example, databases, Amazon S3, Amazon Elastic File System [Amazon EFS], Amazon Elastic Block Store [Amazon EBS]).
  2. 1.2Identify and implement a data ingestion solution
    • Identify data job styles and job types (for example, batch load, streaming).
    • Orchestrate data ingestion pipelines (batch-based ML workloads and streaming-based ML workloads). o Amazon Kinesis o Amazon Data Firehose o Amazon EMR o AWS Glue o Amazon Managed Service for Apache Flink
    • Schedule jobs.
  3. 1.3Identify and implement a data transformation solution
    • Transform data in transit (ETL, AWS Glue, Amazon EMR, AWS Batch).
    • Handle ML-specific data by using MapReduce (for example, Apache Hadoop, Apache Spark, Apache Hive).

Outline reproduced from the vendor's public exam guide for study reference.Official guide