Databricks-Certified-Data-Engineer-Associate Latest Test Cram | Pass-Sure GAQM Databricks-Certified-Data-Engineer-Associate: Databricks Certified Data Engineer Associate Exam by nenih14658 nenih14658

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The Databricks Certified Data Engineer Associate exam measures an individual's ability to design and implement data pipelines, optimize and tune big data solutions, and manage data workflows using Databricks. Candidates are expected to have a solid understanding of data processing techniques, data storage, and data management concepts. Databricks Certified Data Engineer Associate Exam certification program offers a comprehensive assessment of an individual's skills in the field of big data engineering and provides a valuable credential for those looking to advance their careers in this field.

GAQM Databricks-Certified-Data-Engineer-Associate exam is a rigorous and challenging certification that requires candidates to have a strong foundation in data engineering principles and practices. It is recommended that candidates have at least 2-3 years of experience working with big data technologies before attempting the exam. However, there are training courses and study materials available to help candidates prepare for the exam and gain the necessary skills and knowledge.

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To pass the Databricks-Certified-Data-Engineer-Associate exam, candidates must demonstrate their ability to work with the Databricks platform to design, build, and manage data pipelines. They must also be able to analyze data and provide insights to stakeholders using advanced analytics tools and techniques. This requires a deep understanding of data structures, algorithms, and programming languages like Python and SQL.

GAQM Databricks Certified Data Engineer Associate Exam Sample Questions (Q22-Q27):

NEW QUESTION # 22
A data engineer is designing a data pipeline. The source system generates files in a shared directory that is also used by other processes. As a result, the files should be kept as is and will accumulate in the directory. The data engineer needs to identify which files are new since the previous run in the pipeline, and set up the pipeline to only ingest those new files with each run.
Which of the following tools can the data engineer use to solve this problem?

A. Unity CatalogB. Databricks SQLC. Auto LoaderD. Delta LakeE. Data Explorer

Answer: C

NEW QUESTION # 23
Which of the following commands will return the location of database customer360?

A. DROP DATABASE customer360;B. DESCRIBE LOCATION customer360;C. ALTER DATABASE customer360 SET DBPROPERTIES ('location' = '/user'};D. USE DATABASE customer360;E. DESCRIBE DATABASE customer360;

Answer: E

NEW QUESTION # 24
A data engineer has three tables in a Delta Live Tables (DLT) pipeline. They have configured the pipeline to drop invalid records at each table. They notice that some data is being dropped due to quality concerns at some point in the DLT pipeline. They would like to determine at which table in their pipeline the data is being dropped.
Which of the following approaches can the data engineer take to identify the table that is dropping the records?

A. They can navigate to the DLT pipeline page, click on the "Error" button, and review the present errors.B. They can navigate to the DLT pipeline page, click on each table, and view the data quality statistics.C. They can set up DLT to notify them via email when records are dropped.D. They can set up separate expectations for each table when developing their DLT pipeline.E. They cannot determine which table is dropping the records.

Answer: A

NEW QUESTION # 25
In order for Structured Streaming to reliably track the exact progress of the processing so that it can handle any kind of failure by restarting and/or reprocessing, which of the following two approaches is used by Spark to record the offset range of the data being processed in each trigger?

A. Structured Streaming cannot record the offset range of the data being processed in each trigger.B. Write-ahead Logs and Idempotent SinksC. Checkpointing and Idempotent SinksD. Replayable Sources and Idempotent SinksE. Checkpointing and Write-ahead Logs

Answer: C

NEW QUESTION # 26
Which of the following is hosted completely in the control plane of the classic Databricks architecture?

A. Driver nodeB. JDBC data sourceC. Worker nodeD. Databricks FilesystemE. Databricks web application

Answer: A

NEW QUESTION # 27
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