Databricks Machine Learning Professional exam dumps

Databricks Machine Learning Professional practice question 214 of 280

Databricks Certified Machine Learning Professional. Professional level, Databricks. Free question with the correct answer and a full explanation.

Databricks Machine Learning Professional Question 214

Single answer

You are tasked with deploying a machine learning model for real-time predictions in a production environment. The model needs to handle high throughput, scale dynamically based on traffic, and integrate easily with other cloud-native services. Why is using a cloud-provided RESTful service hosted in a containerized environment the optimal solution?

  1. A

    It provides dynamic scalability to handle varying workloads seamlessly.

  2. B

    RESTful services do not require additional infrastructure for hosting and maintenance.

  3. C

    Containerization ensures the model environment is reproducible and portable across different platforms.

  4. D

    It eliminates the need for monitoring and logging in production environments.

Show answer and explanation

Correct answer: A

Explanation

Cloud-provided RESTful services hosted in containers are ideal for production-grade real-time deployments because they offer dynamic scalability, seamless integration with other cloud-native services, and high reliability. The ability to scale infrastructure based on workload ensures the system can handle varying traffic demands without manual intervention, which is essential for production environments.

  • A. Correct.

    Dynamic scalability is a key benefit of cloud-provided RESTful services. They allow the infrastructure to scale up or down automatically based on traffic demands, ensuring high availability and performance.

  • B. Incorrect.

    While RESTful services are easy to deploy, they still require cloud infrastructure for hosting and maintenance. This statement is incorrect as it oversimplifies the requirements for deployment.

  • C. Incorrect.

    Although containerization provides reproducibility and portability, it is not the primary reason why this setup is the best solution for production-grade deployments. Scalability and integration with cloud services are more critical in this context.

  • D. Incorrect.

    Monitoring and logging are crucial for real-time production systems, and cloud-provided services often come with integrated tools for these tasks. However, this option incorrectly suggests that these tasks are unnecessary.

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