Databricks-Certified-Data-Engineer-Associate Exam Dumps - Databricks Certified Data Engineer Associate Exam

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Question # 25

A dataset has been defined using Delta Live Tables and includes an expectations clause:

CONSTRAINT valid_timestamp EXPECT (timestamp > '2020-01-01') ON VIOLATION DROP ROW

What is the expected behavior when a batch of data containing data that violates these constraints is processed?

Records that violate the expectation are dropped from the target dataset and loaded into a quarantine table.

Records that violate the expectation are added to the target dataset and flagged as invalid in a field added to the target dataset.

Records that violate the expectation are dropped from the target dataset and recorded as invalid in the event log.

Records that violate the expectation are added to the target dataset and recorded as invalid in the event log.

Records that violate the expectation cause the job to fail.

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Question # 26

A data engineer is inspecting an ETL pipeline based on a Pyspark job that consistently encounters performance bottlenecks. Based on developer feedback, the data engineer assumes the job is low on compute resources. To pinpoint the issue, the data engineer observes the Spark Ul and finds out the job has a high CPU time vs Task time.

Which course of action should the data engineer take?

High CPU time vs Task time means an under-utilized cluster. The data engineer may need to repartition data to spread the jobs more evenly throughout the cluster.

High CPU time vs Task time means efficient use of cluster and no change needed

High CPU time vs Task time means over-utilized memory and the need to increase parallelism

High CPU time vs Task time means a CPU over-utilized job. The data engineer may need to consider executor and core tuning or resizing the cluster

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Question # 27

A data engineer needs access to a table new_uable, but they do not have the correct permissions. They can ask the table owner for permission, but they do not know who the table owner is.

Which approach can be used to identify the owner of new_table?

There is no way to identify the owner of the table

Review the Owner field in the table's page in the cloud storage solution

Review the Permissions tab in the table's page in Data Explorer

Review the Owner field in the tableâ€™s page in Data Explorer

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Question # 28

Calculate the total sales amount for each region and store the results in a new dataframe called region_sales.

Given the expected result:

Which code will generate the expected result?

region_sales = sales_df.groupBy("region").agg(sum("sales_amountM).alias("total_sales_amount"))

region_sales = sales_df. sum ("salen_aiTiount") . groupBy ("region") .alias ("total_sale3_amount")

region_sales= sales_df.groupBy("category").sum(nsales_amount").alias("t_otal_sales_amounl")

region sales - sales_df.agg(sum("sales_amount").groupBy("region").alias("total sales amount"))

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Question # 29

An organization needs to share a dataset stored in its Databricks Unity Catalog with an external partner who uses a different data platform that is not Databricks. The goal is to maintain data security and ensure the partner can access the data efficiently.

Which method should the data engineer use to securely share the dataset with the external partner?

Using Delta Sharing with the open sharing protocol

Exporting data as CSV files and emailing them

Using a third-party API to access the Delta table

Databricks-to-Databricks Sharing

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Question # 30

A data engineer has a single-task Job that runs each morning before they begin working. After identifying an upstream data issue, they need to set up another task to run a new notebook prior to the original task.

Which of the following approaches can the data engineer use to set up the new task?

They can clone the existing task in the existing Job and update it to run the new notebook.

They can create a new task in the existing Job and then add it as a dependency of the original task.

They can create a new task in the existing Job and then add the original task as a dependency of the new task.

They can create a new job from scratch and add both tasks to run concurrently.

They can clone the existing task to a new Job and then edit it to run the new notebook.

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Question # 31

A data engineer has configured a Structured Streaming job to read from a table, manipulate the data, and then perform a streaming write into a new table.

The cade block used by the data engineer is below:

If the data engineer only wants the query to execute a micro-batch to process data every 5 seconds, which of the following lines of code should the data engineer use to fill in the blank?

trigger("5 seconds")

trigger()

trigger(once="5 seconds")

trigger(processingTime="5 seconds")

trigger(continuous="5 seconds")

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Question # 32

What is the primary function of the Silver layer in the Databricks medallion architecture?

lngest raw data in its original state

Validate, clean, and deduplicate data for further processing

Aggregate and enrich data for business analytics

Store historical data solely for auditing purposes