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The GAQM Databricks-Certified-Data-Engineer-Associate (Databricks Certified Data Engineer Associate) Certification Exam is a comprehensive and rigorous examination that validates a candidate's understanding of the Databricks platform and its role in data engineering. Databricks Certified Data Engineer Associate Exam certification focuses on assessing the practical skills and knowledge required to design, build, and maintain data pipelines using Databricks.

The Databricks Databricks-Certified-Data-Engineer-Associate exam is intended for data engineers, data architects, and developers who are responsible for designing, building, and maintaining data pipelines. Databricks Certified Data Engineer Associate Exam certification exam is comprised of 60 multiple-choice questions, and candidates have 90 minutes to complete the exam. Databricks-Certified-Data-Engineer-Associate Exam measures candidates' knowledge and skills in various areas, including data ingestion, data transformation, and data processing.

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Databricks Certified Data Engineer Associate Exam Sample Questions (Q81-Q86):

NEW QUESTION # 81
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 code block used by the data engineer is below:

If the data engineer only wants the query to process all of the available data in as many batches as required, which of the following lines of code should the data engineer use to fill in the blank?

A. trigger(processingTime="once")
B. trigger(availableNow=True)
C. processingTime(1)
D. trigger(parallelBatch=True)
E. trigger(continuous="once")

Answer: B

Explanation:
Explanation
https://stackoverflow.com/questions/71061809/trigger-availablenow-for-delta-source-streaming-queries-in-pyspa

NEW QUESTION # 82
A data engineer needs to apply custom logic to string column city in table stores for a specific use case. In order to apply this custom logic at scale, the data engineer wants to create a SQL user-defined function (UDF).
Which of the following code blocks creates this SQL UDF?

Answer: E

NEW QUESTION # 83
Which of the following describes a scenario in which a data team will want to utilize cluster pools?

A. An automated report needs to be runnable by all stakeholders.
B. An automated report needs to be tested to identify errors.
C. An automated report needs to be refreshed as quickly as possible.
D. An automated report needs to be version-controlled across multiple collaborators.
E. An automated report needs to be made reproducible.

Answer: C

Explanation:
Databricks cluster pools are a set of idle, ready-to-use instances that can reduce cluster start and auto-scaling times. This is useful for scenarios where a data team needs to run an automated report as quickly as possible, without waiting for the cluster to launch or scale up. Cluster pools can also help save costs by reusing idle instances across different clusters and avoiding DBU charges for idle instances in the pool. References: Best practices: pools | Databricks on AWS, Best practices: pools - Azure Databricks | Microsoft Learn, Best practices: pools | Databricks on Google Cloud

NEW QUESTION # 84
A data engineer runs a statement every day to copy the previous day's sales into the table transactions. Each day's sales are in their own file in the location "/transactions/raw".
Today, the data engineer runs the following command to complete this task:

After running the command today, the data engineer notices that the number of records in table transactions has not changed.
Which of the following describes why the statement might not have copied any new records into the table?

A. The PARQUET file format does not support COPY INTO.
B. The COPY INTO statement requires the table to be refreshed to view the copied rows.
C. The names of the files to be copied were not included with the FILES keyword.
D. The previous day's file has already been copied into the table.
E. The format of the files to be copied were not included with the FORMAT_OPTIONS keyword.

Answer: D

Explanation:
Explanation
https://docs.databricks.com/en/ingestion/copy-into/index.html The COPY INTO SQL command lets you load data from a file location into a Delta table. This is a re-triable and idempotent operation; files in the source location that have already been loaded are skipped. if there are no new records, the only consistent choice is C no new files were loaded because already loaded files were skipped.

NEW QUESTION # 85
A data engineer is using the following code block as part of a batch ingestion pipeline to read from a composable table:

Which of the following changes needs to be made so this code block will work when the transactions table is a stream source?

A. Replace format("delta") with format("stream")
B. Replace "transactions" with the path to the location of the Delta table
C. Replace predict with a stream-friendly prediction function
D. Replace spark.read with spark.readStream
E. Replace schema(schema) with option ("maxFilesPerTrigger", 1)

Answer: D

Explanation:
Explanation
https://docs.databricks.com/en/structured-streaming/delta-lake.html

NEW QUESTION # 86
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PASS GUARANTEED QUIZ 2025 RELIABLE DATABRICKS DATABRICKS-CERTIFIED-DATA-ENGINEER-ASSOCIATE: CERTIFICATION DATABRICKS CERTIFIED DATA ENGINEER ASSOCIATE EXAM TEST QUESTIONS

Pass Guaranteed Quiz 2025 Reliable Databricks Databricks-Certified-Data-Engineer-Associate: Certification Databricks Certified Data Engineer Associate Exam Test Questions