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CERTIFIED-DATA-ENGINEER-PROFESSIONAL · Question #124

CERTIFIED-DATA-ENGINEER-PROFESSIONAL Question #124: Real Exam Question with Answer & Explanation

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Optimizing Databricks Data Ingestion and Processing

Question

A large company seeks to implement a near real-time solution involving hundreds of pipelines with parallel updates of many tables with extremely high volume and high velocity data. Which of the following solutions would you implement to achieve this requirement?

Options

  • AUse Databricks High Concurrency clusters, which leverage optimized cloud storage connections
  • BPartition ingestion tables by a small time duration to allow for many data files to be written in
  • CConfigure Databricks to save all data to attached SSD volumes instead of object storage,
  • DIsolate Delta Lake tables in their own storage containers to avoid API limits imposed by cloud
  • EStore all tables in a single database to ensure that the Databricks Catalyst Metastore can load

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Topics

#Databricks Cluster Types#Delta Lake Performance#Real-time Data Engineering#Cloud Storage Optimization
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