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Databricks - Data Engineer Associate Practice Exam 1 questions with correct answers

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Databricks - Data Engineer Associate Practice Exam 1 questions with correct answers

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  • August 14, 2024
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  • 2024/2025
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  • Databricks Data Engineering Associate
  • Databricks Data Engineering Associate
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Databricks - Data Engineer Associate
Practice Exam 1 questions with correct
answers
You were asked to create a table that can store the below data, <orderTime> is a timestamp
x x x x x x x x x x x x x x x x




but the finance team when they query this data normally prefer the <orderTime> in date
x x x x x x x x x x x x x x x




format, you would like to create a calculated column that can convert the <orderTime>
x x x x x x x x x x x x x x




column timestamp datatype to date and store it, fill in the blank to complete the DDL.
x x x x x x x x x x x x x x x x




CREATE TABLE orders ( x x x




x orderId int, x




x orderTime timestamp, x




x orderdate date _____________________________________________ ,
x x x




x units int) x




A. AS DEFAULT (CAST(orderTime as DATE))
x x x x x




B. GENERATED ALWAYS AS (CAST(orderTime as DATE))
x x x x x x




C. GENERATED DEFAULT AS (CAST(orderTime as DATE))
x x x x x x




D. AS (CAST(orderTime as DATE))
x x x x




E. Delta lake does not support calculated columns, value should be inserted into the table as
x x x x x x x x x x x x x x x




part of the ingestion process - ANSWER: ➡ B. GENERATED ALWAYS AS (CAST(orderTime as
x x x x x x x xx x x x x x x




DATE))
x




Explanation
The answer is, GENERATED ALWAYS AS (CAST(orderTime as DATE))
x x x x x x x x




https://docs.microsoft.com/en-us/azure/databricks/delta/delta-batch#--use-generated-
columns

,Delta Lake supports generated columns which are a special type of columns whose values are
x x x x x x x x x x x x x x




automatically generated based on a user-specified function over other columns in the Delta
x x x x x x x x x x x x x




table. When you write to a table with generated columns and you do not explicitly provide
x x x x x x x x x x x x x x x x




values for them, Delta Lake automatically computes the values.
x x x x x x x x x




Note: Databricks also supports partitioning using generated column
x x x x x x x




The data engineering team noticed that one of the job fails randomly as a result of using spot
x x x x x x x x x x x x x x x x x




instances, what feature in Jobs/Tasks can be used to address this issue so the job is more stable
x x x x x x x x x x x x x x x x x x




when using spot instances?
x x x x




A. Use Databrick REST API to monitor and restart the job
x x x x x x x x x x




B. Use Jobs runs, active runs UI section to monitor and restart the job
x x x x x x x x x x x x x




C. Add second task and add a check condition to rerun the first task if it fails
x x x x x x x x x x x x x x x x




D. Restart the job cluster, job automatically restarts
x x x x x x x




E. Add a retry policy to the task - ANSWER: ➡ E. Add a retry policy to the task
x x x x x x x x x xx x x x x x x x x




The answer is, Add a retry policy to the task
x x x x x x x x x




Tasks in Jobs support Retry Policy, which can be used to retry a failed tasks, especially when
x x x x x x x x x x x x x x x x




using spot instance it is common to have failed executors or driver.
x x x x x x x x x x x x




What is the main difference between AUTO LOADER and COPY INTO?
x x x x x x x x x x




A. COPY INTO supports schema evolution.
x x x x x




B. AUTO LOADER supports schema evolution.
x x x x x




C. COPY INTO supports file notification when performing incremental loads.
x x x x x x x x x




D. AUTO LOADER supports reading data from Apache Kafka
x x x x x x x x




E, AUTO LOADER Supports file notification when performing incremental loads. - ANSWER: ➡
x x x x x x x x x x x xx




E, AUTO LOADER Supports file notification when performing incremental loads.
x x x x x x x x x x

,Explanation
Auto loader supports both directory listing and file notification but COPY INTO only supports
x x x x x x x x x x x x x




directory listing.
x x




Auto loader file notification will automatically set up a notification service and queue service
x x x x x x x x x x x x x




that subscribe to file events from the input directory in cloud object storage like Azure blob
x x x x x x x x x x x x x x x x




storage or S3. File notification mode is more performant and scalable for large input
x x x x x x x x x x x x x x




directories or a high volume of files.
x x x x x x x




Auto Loader and Cloud Storage Integration
x x x x x




Auto Loader supports a couple of ways to ingest data incrementally
x x x x x x x x x x




Directory listing - List Directory and maintain the state in RocksDB, supports incremental file
x x x x x x x x x x x x x




listing
x




File notification - Uses a trigger+queue to store the file notification which can be later used to
x x x x x x x x x x x x x x x x




retrieve the file, unlike Directory listing File notification can scale up to millions of files per day.
x x x x x x x x x x x x x x x x x




[OPTIONAL]
Auto Loader vs COPY INTO?
x x x x




Auto Loader x




Auto Loader incrementally and efficiently processes new data files as they arrive in cloud
x x x x x x x x x x x x x




storage without any additional setup. Auto Loader provides a new Structured Streaming
x x x x x x x x x x x x




source called cloudFiles. Given an input directory path on the cloud file storage, the cloudFiles
x x x x x x x x x x x x x x x




source automatically processes new files as they arrive, with the option of also processing
x x x x x x x x x x x x x x




existing files in that directory.
x x x x x




When to use Auto Loader instead of the COPY INTO?
x x x x x x x x x

, You want to load data from a file location that contains files in the order of millions or higher.
x x x x x x x x x x x x x x x x x x




Auto Loader can discover files more efficiently than the COPY INTO SQL command and can split
x x x x x x x x x x x x x x x x




file processing into multiple batches.
x x x x x




You do not plan to load subsets of previously uploaded files. With Auto Loader, it can be more
x x x x x x x x x x x x x x x x x




difficult to reprocess subsets of files. However, you can use the COPY INTO SQL
x x x x x x x x x x x x x x




Why does AUTO LOADER require schema location?
x x x x x x




A. Schema location is used to store user provided schema
x x x x x x x x x




B. Schema location is used to identify the schema of target table
x x x x x x x x x x x




C. AUTO LOADER does not require schema location, because its supports Schema evolution
x x x x x x x x x x x x




D. Schema location is used to store schema inferred by AUTO LOADER
x x x x x x x x x x x




E. Schema location is used to identify the schema of target table and source table - ANSWER: ➡
x x x x x x x x x x x x x x x x xx




D. Schema location is used to store schema inferred by AUTO LOADER
x x x x x x x x x x x x




Explanation
The answer is, Schema location is used to store schema inferred by AUTO LOADER, so the next
x x x x x x x x x x x x x x x x




time AUTO LOADER runs faster as does not need to infer the schema every single time by trying
x x x x x x x x x x x x x x x x x x




to use the last known schema.
x x x x x x




Auto Loader samples the first 50 GB or 1000 files that it discovers, whichever limit is crossed
x x x x x x x x x x x x x x x x




first. To avoid incurring this inference cost at every stream start up, and to be able to provide a
x x x x x x x x x x x x x x x x x x x




stable schema across stream restarts, you must set the option cloudFiles.schemaLocation.
x x x x x x x x x x x




Auto Loader creates a hidden directory _schemas at this location to track schema changes to
x x x x x x x x x x x x x x x




the input data over time.
x x x x x




The below link contains detailed documentation on different options
x x x x x x x x

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