Azure DataBricks Assessment

Candidates Assessed


Organizations Served


iMocha's Azure DataBricks assessment is the most preferred pre-hire test  for recruiters and hiring managers to evalaute candidate's understanding of Azure Databricks. Our Azure DataBricks test is useful for hiring Azure DataBricks Module Lead, Lead Consultant – Azure DataBricks, and Azure Databricks Application Engineer. The test has helped many enterrpise organisations to reduce technical screening time by 80% and hiring cost by 40%

About Azure DataBricks Assessment

Azure Databricks is a fast, easy and collaborative Apache Spark-based big data analytics service designed for data science and data engineering. High-level architecture Azure Databricks is basically structured to enable secure cross-functional team collaboration while keeping a significant amount of backend services managed by Azure Databricks so you can stay focused on your data science, data analytics, and data engineering tasks. 

iMocha’s Azure Databricks test is secure and reliable. All the test assessment data is safeguarded with required security features like window violation and webcam proctoring. 

Are you a jobseeker looking to sharpen your skills?

Test Summary

Azure DataBricks test helps to screen the candidates who possess traits as follows:
  • Good experience with delta lake and experiments in DataBricks
  • Strong knowledge of using SparkR in Azure DataBricks
  • Knowledge of CosmosDB for handling database services in Azure
  • Familiarity with blob storage, clusters, sessions, etc

Test Duration: 20 minutes

No. of Questions: 10

Level of Expertise: Entry/Mid/Senior

Useful for hiring

  • Azure DataBricks Module Lead
  • Lead Consultant – Azure DataBricks
  • Azure Databricks Application Engineer

Topics Covered

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Delta Lake

 Azure DataBricks assessment evaluates candidate's understanding of 

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Delta Lake to access and revert to earlier versions of data for audits, rollbacks or to reproduce experiments
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 Azure DataBricks test guages candidate's understanding of SparkR to use Apache Spark from R. It provides a distributed data frame implementation that supports operations like selection, filtering, aggregation etc

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Azure CosmosDB

 Azure DataBricks assessment evalautes candidate's knowledge of 

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Azure Cosmos DB 
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Blob Storage

Our test evalautes candidate's knowledge of blob storage is to support the scale, security and availability needs of mobile, web and cloud-native application developers

Sample Questions

Choose from our 100,000+ question library or add your own questions to make powerful custom tests

Question types:

Multiple Option


Blob Storage



Q 1. Choose the correct code to mount the Blob Storage with the container-name, storage-account-name, mount-name, config-key, scope-name, and key-name properties.
    source = "[email protected]",
    mount_point = "TestMount",
    extra_configs = {"configuration key":dbutils.secrets.get(scope = "TestScope", key = "TestKey")})
    storage = "[email protected]",
    mp = "TestMount",
    extra_configs = {"configuration key":dbutils.secrets.get(scope = "TestScope", SSHkey = "TestKey")})
    storage = "[email protected]",
    mpin = "TestMount",
    extra_configs = {"configuration key":dbutils.secrets.get(scope = "TestScope", Hashkey = "TestKey")})
    storageArea = "[email protected]",
    mp = "TestMount",
    extra_configs = {"configuration key":dbutils.secrets.get(scope = "TestScope", DFSkey = "TestKey")})

Sample Report

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Skill wise performance report by iMocha

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Cheryl Tolkinen, Learning & Development Manager, Securian, USA

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