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Databricks Certified Data Engineer Associate certification is highly regarded in the industry and is recognized by many employers as a mark of excellence in data engineering. Databricks Certified Data Engineer Associate Exam certification exam is designed to be challenging and requires candidates to have a deep understanding of Databricks and its various components. Candidates who pass the exam will be able to demonstrate their skills and knowledge to potential employers, giving them a competitive advantage in the job market.

Databricks Certified Data Engineer Associate certification is a highly respected credential in the data engineering industry. It is recognized by employers worldwide as a validation of an individual's expertise in building and managing data pipelines using Databricks. Certified data engineers are in high demand, and they can expect to earn a high salary and enjoy a rewarding career in the data engineering field.

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Databricks Certified Data Engineer Associate exam is designed for data engineers who work with the Databricks platform and have experience in designing and implementing data pipelines. Databricks-Certified-Data-Engineer-Associate Exam covers a wide range of topics, including data ingestion, transformation, storage, and processing. It also covers advanced concepts such as Spark architecture, performance tuning, and optimization.

Databricks Certified Data Engineer Associate Exam Sample Questions (Q98-Q103):

NEW QUESTION # 98
Which of the following commands can be used to write data into a Delta table while avoiding the writing of duplicate records?

A. IGNORE
B. APPEND
C. MERGE
D. DROP
E. INSERT

Answer: C

NEW QUESTION # 99
A data engineer has realized that they made a mistake when making a daily update to a table. They need to use Delta time travel to restore the table to a version that is 3 days old. However, when the data engineer attempts to time travel to the older version, they are unable to restore the data because the data files have been deleted.
Which of the following explains why the data files are no longer present?

A. The VACUUM command was run on the table
B. The HISTORY command was run on the table
C. The TIME TRAVEL command was run on the table
D. The DELETE HISTORY command was run on the table
E. The OPTIMIZE command was nun on the table

Answer: A

Explanation:
The VACUUM command is used to remove files that are no longer referenced by a Delta table and are older than the retention threshold1. The default retention period is 7 days2, but it can be changed by setting the delta.logRetentionDuration and delta.deletedFileRetentionDuration configurations3. If the VACUUM command was run on the table with a retention period shorter than 3 days, then the data files that were needed to restore the table to a 3-day-old version would have been deleted. The other commands do not delete data files from the table. The TIME TRAVEL command is used to query a historical version of the table4. The DELETE HISTORY command is not a valid command in Delta Lake. The OPTIMIZE command is used to improve the performance of the table by compacting small files into larger ones5. The HISTORY command is used to retrieve information about the operations performed on the table. Reference: 1: VACUUM | Databricks on AWS 2: Work with Delta Lake table history | Databricks on AWS 3: [Delta Lake configuration | Databricks on AWS] 4: Work with Delta Lake table history - Azure Databricks 5: [OPTIMIZE | Databricks on AWS] : [HISTORY | Databricks on AWS]

NEW QUESTION # 100
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: C

Explanation:
Explanation
https://www.databricks.com/blog/2021/10/20/introducing-sql-user-defined-functions.html

NEW QUESTION # 101
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(parallelBatch=True)
B. trigger(continuous="once")
C. processingTime(1)
D. trigger(availableNow=True)
E. trigger(processingTime="once")

Answer: D

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

NEW QUESTION # 102
A data engineer is running code in a Databricks Repo that is cloned from a central Git repository. A colleague of the data engineer informs them that changes have been made and synced to the central Git repository. The data engineer now needs to sync their Databricks Repo to get the changes from the central Git repository.
Which of the following Git operations does the data engineer need to run to accomplish this task?

A. Commit
B. Clone
C. Merge
D. Pull
E. Push

Answer: D

Explanation:
To sync a Databricks Repo with the changes from a central Git repository, the data engineer needs to run the Git pull operation. This operation fetches the latest updates from the remote repository and merges them with the local repository. The data engineer can use the Pull button in the Databricks Repos UI, or use the git pull command in a terminal session. The other options are not relevant for this task, as they either push changes to the remote repository (Push), combine two branches (Merge), save changes to the local repository (Commit), or create a new local repository from a remote one (Clone). References:
* Run Git operations on Databricks Repos
* Git pull

NEW QUESTION # 103
......

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Databricks-Certified-Data-Engineer-Associate Latest Test Simulations & Databricks-Certified-Data-Engineer-Associate Exam Brain Dumps

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Databricks Certified Data Engineer Associate Exam Sample Questions (Q98-Q103):

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