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Achieve your goals with Databricks-Certified-Data-Engineer-Associate actual dumps & GAQM Databricks-Certified-Data-Engineer-Associate exam pdf

Achieve your goals with Databricks-Certified-Data-Engineer-Associate actual dumps & GAQM Databricks-Certified-Data-Engineer-Associate exam pdf

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The Databricks Certified Data Engineer Associate certification exam covers a broad range of topics that are essential for designing and implementing big data solutions using Databricks platform. The exam tests the candidates’ knowledge of Databricks architecture, data engineering, data processing, data analysis, machine learning, and cloud infrastructure. This certification exam is designed to validate the skills and knowledge of the candidates in working with Databricks platform for big data processing and analytics.

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Free PDF Quiz GAQM – Databricks-Certified-Data-Engineer-Associate – Perfect Reliable Databricks Certified Data Engineer Associate Exam Exam Topics

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GAQM Databricks Certified Data Engineer Associate Exam Sample Questions (Q34-Q39):

NEW QUESTION # 34
Which of the following describes the storage organization of a Delta table?

  • A. Delta tables are stored in a single file that contains only the data stored within the table.
  • B. Delta tables are stored in a single file that contains data, history, metadata, and other attributes.
  • C. Delta tables are stored in a collection of files that contain only the data stored within the table.
  • D. Delta tables store their data in a single file and all metadata in a collection of files in a separate location.
  • E. Delta tables are stored in a collection of files that contain data, history, metadata, and other attributes.

Answer: E

NEW QUESTION # 35
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?

  • A. They can create a new task in the existing Job and then add the original task as a dependency of the new task.
  • B. They can clone the existing task to a new Job and then edit it to run the new notebook.
  • C. They can create a new job from scratch and add both tasks to run concurrently.
  • D. They can create a new task in the existing Job and then add it as a dependency of the original task.
  • E. They can clone the existing task in the existing Job and update it to run the new notebook.

Answer: B

NEW QUESTION # 36
Which of the following data lakehouse features results in improved data quality over a traditional data lake?

  • A. A data lakehouse provides storage solutions for structured and unstructured data.
  • B. A data lakehouse enables machine learning and artificial Intelligence workloads.
  • C. A data lakehouse stores data in open formats.
  • D. A data lakehouse supports ACID-compliant transactions.
  • E. A data lakehouse allows the use of SQL queries to examine data.

Answer: E

NEW QUESTION # 37
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 format of the files to be copied were not included with the FORMAT_OPTIONS keyword.
  • C. The names of the files to be copied were not included with the FILES keyword.
  • D. The COPY INTO statement requires the table to be refreshed to view the copied rows.
  • E. The previous day’s file has already been copied into the table.

Answer: E

NEW QUESTION # 38
Which of the following describes when to use the CREATE STREAMING LIVE TABLE (formerly CREATE INCREMENTAL LIVE TABLE) syntax over the CREATE LIVE TABLE syntax when creating Delta Live Tables (DLT) tables using SQL?

  • A. CREATE STREAMING LIVE TABLE should be used when data needs to be processed through complicated aggregations.
  • B. CREATE STREAMING LIVE TABLE should be used when the previous step in the DLT pipeline is static.
  • C. CREATE STREAMING LIVE TABLE should be used when the subsequent step in the DLT pipeline is static.
  • D. CREATE STREAMING LIVE TABLE is redundant for DLT and it does not need to be used.
  • E. CREATE STREAMING LIVE TABLE should be used when data needs to be processed incrementally.

Answer: E

NEW QUESTION # 39
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