Azure DataBricks Assessment

Candidates Assessed

14890+

Organisations Served

121+

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%

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

Delta Lake

Azure DataBricks assessment evaluates candidate's understanding of

Delta Lake to access and revert to earlier versions of data for audits, rollbacks or to reproduce experiments

SparkR

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

Azure CosmosDB

Azure DataBricks assessment evalautes candidate's knowledge of

Azure Cosmos DB

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

Topic:

Blob Storage

Difficulty:

Hard

Q 1. Write a code to mount the Blob Storage with the container-name, storage-account-name, mount-name, config-key, scope-name, and key-name properties.

dbutils.Sample.mount(
source = "[email protected]",
mount_point = "TestMount",
extra_configs = {"configuration key":dbutils.secrets.get(scope = "TestScope", key = "TestKey")})

dbutils.Sample.mount(
storage = "[email protected]",
mp = "TestMount",
extra_configs = {"configuration key":dbutils.secrets.get(scope = "TestScope", SSHkey = "TestKey")})

dbutils.Sample.mount(
storage = "[email protected]",
mpin = "TestMount",
extra_configs = {"configuration key":dbutils.secrets.get(scope = "TestScope", Hashkey = "TestKey")})

dbutils.Sample.mount(
storageArea = "[email protected]",
mp = "TestMount",
extra_configs = {"configuration key":dbutils.secrets.get(scope = "TestScope", DFSkey = "TestKey")})

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Related Skills

Trusted By

“As a Talent Acquisition Manager, I observed that my team spent too much time in interviewing irrelevant candidates. So our team created an Aptitude evaluation test called Uneecops Common Aptitude Test (UCAT) with the help of iMocha. Now, we share the test with the candidates & based on the assessment report we were able to filter 170 good candidates from the pool of 300.”