Databricks Data Engineer Associate exam dumps

Databricks Data Engineer Associate practice question 1 of 532

Databricks Certified Data Engineer Associate. Associate level, Databricks. Free question with the correct answer and a full explanation.

Databricks Data Engineer Associate Question 1

Select 3

A data engineering team is considering using the Databricks Lakehouse Platform for their enterprise data needs. They want to ensure the platform can support all their requirements, including handling structured and unstructured data, enabling real-time analytics, and ensuring high-performance queries on large datasets. Which of the following features of the Databricks Lakehouse Platform make it suitable for this use case?

  1. A

    Unified support for structured, semi-structured, and unstructured data

  2. B

    Integration with machine learning and AI workflows

  3. C

    Decoupled storage and compute architecture

  4. D

    Support for ACID transactions through Delta Lake

  5. E

    Lack of real-time data streaming support

Show answer and explanation

Correct answers: A, B, D

Explanation

The Databricks Lakehouse Platform is designed to address the limitations of traditional data warehouses and data lakes by providing a unified platform that supports structured, semi-structured, and unstructured data, real-time analytics, and reliable data management with ACID transactions. Additionally, its integration with machine learning workflows makes it ideal for advanced analytics and AI use cases. The incorrect options either misrepresent the platform's capabilities or describe features not present in the Lakehouse architecture.

  • A. Correct.

    Correct: The Databricks Lakehouse Platform provides a unified approach to handling structured, semi-structured, and unstructured data, making it suitable for diverse data workloads.

  • B. Correct.

    Correct: The platform is designed to integrate seamlessly with machine learning and AI workflows, enabling advanced analytics and predictive modeling.

  • C. Incorrect.

    Incorrect: While the platform uses a tightly integrated storage and compute architecture for high performance, it does not feature a fully decoupled storage and compute model like traditional data warehouses.

  • D. Correct.

    Correct: Delta Lake, a core component of the Databricks Lakehouse Platform, ensures ACID transactions, which are essential for data consistency and reliability.

  • E. Incorrect.

    Incorrect: The Databricks Lakehouse Platform does support real-time data streaming through technologies like Structured Streaming, making this statement incorrect.

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