Amazon

MLS-C01 AWS Certified Machine Learning – Specialty

Use original educational practice content, randomized simulator sessions, score history and explanation review for MLS-C01.

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Las preguntas de práctica se proporcionan en inglés para mantenerse cerca del idioma utilizado habitualmente en las certificaciones IT.

QZ9 es una plataforma de formación independiente. Todas las preguntas de práctica son originales y creadas solo con fines educativos. No proporcionamos contenido real de examen ni contenido no autorizado. Microsoft, AWS, Cisco, CompTIA, PMI y otras marcas pertenecen a sus respectivos propietarios.

ProveedorAmazon

CodeMLS-C01

Duration180 minutes

Questions65

Datos del examen

Preparación basada en objetivos, sin contenido no autorizado

Certification metadata is preserved from the legacy QZ9 catalog. Questions remain English-only.

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Simulador de examen

Las preguntas de práctica se proporcionan en inglés para mantenerse cerca del idioma utilizado habitualmente en las certificaciones IT.

Pregunta 1

A large mobile network operating company is building a machine learning model to predict customers who are likely to unsubscribe from the service. The company plans to offer an incentive for these customers as the cost of churn is far greater than the cost of the incentive. The model produces the following confusion matrix after evaluating on a test dataset of 100 customers: Based on the model evaluation results, why is this a viable model for production?

Pregunta 2

A Machine Learning Specialist is designing a system for improving sales for a company. The objective is to use the large amount of information the company has on users’ behavior and product preferences to predict which products users would like based on the users’ similarity to other users. What should the Specialist do to meet this objective?

Pregunta 3

A Mobile Network Operator is building an analytics platform to analyze and optimize a company's operations using Amazon Athena and Amazon S3. The source systems send data in .CSV format in real time. The Data Engineering team wants to transform the data to the Apache Parquet format before storing it on Amazon S3. Which solution takes the LEAST effort to implement?

Pregunta 4

A city wants to monitor its air quality to address the consequences of air pollution. A Machine Learning Specialist needs to forecast the air quality in parts per million of contaminates for the next 2 days in the city. As this is a prototype, only daily data from the last year is available. Which model is MOST likely to provide the best results in Amazon SageMaker?

Pregunta 5

A Data Engineer needs to build a model using a dataset containing customer credit card information. How can the Data Engineer ensure the data remains encrypted and the credit card information is secure?