DATABRICKS DATABRICKS-CERTIFIED-DATA-ENGINEER-ASSOCIATE CERTIFICATION BOOK TORRENT - DATABRICKS-CERTIFIED-DATA-ENGINEER-ASSOCIATE STUDY GUIDES

Databricks Databricks-Certified-Data-Engineer-Associate Certification Book Torrent - Databricks-Certified-Data-Engineer-Associate Study Guides

Databricks Databricks-Certified-Data-Engineer-Associate Certification Book Torrent - Databricks-Certified-Data-Engineer-Associate Study Guides

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Databricks-Certified-Data-Engineer-Associate is so flexible that you can easily change the timings, types of questions, and topics for each mock exam. Exams-boost's Databricks Certified Data Engineer Associate Exam practice test contains all the important questions that will appear in the actual Databricks-Certified-Data-Engineer-Associate Exam. We design and update our Databricks Databricks-Certified-Data-Engineer-Associate exam questions after receiving precious feedback. You can try a demo and sample of Databricks-Certified-Data-Engineer-Associate exam questions before purchasing.

The GAQM Databricks-Certified-Data-Engineer-Associate exam is a comprehensive test of an individual's knowledge of Databricks and its related technologies. It evaluates the ability of candidates to design, build, and maintain data pipelines using Databricks. Databricks Certified Data Engineer Associate Exam certification is ideal for data engineers, data architects, and data scientists who want to showcase their skills and knowledge in working with Databricks. Earning the certification can help individuals advance their careers and lead to better job opportunities and higher salaries.

The Databricks Databricks-Certified-Data-Engineer-Associate Exam consists of 60 multiple-choice questions and has a duration of 120 minutes. The topics covered in the exam include Databricks architecture, data ingestion, data processing, data transformation, data modeling, and data warehousing. Databricks-Certified-Data-Engineer-Associate exam is intended for data engineers, data architects, data analysts, and data scientists who have experience in working with Databricks for data engineering tasks. By obtaining this certification, candidates can demonstrate their expertise in Databricks and enhance their career prospects in the field of data engineering.

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Databricks Databricks-Certified-Data-Engineer-Associate Study Guides - Databricks-Certified-Data-Engineer-Associate Reliable Practice Materials

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Databricks Certified Data Engineer Associate Exam Sample Questions (Q94-Q99):

NEW QUESTION # 94
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(availableNow=True)
  • C. processingTime(1)
  • D. trigger(continuous="once")
  • E. trigger(processingTime="once")

Answer: B

Explanation:
https://spark.apache.org/docs/latest/api/python/reference/pyspark.ss/api/pyspark.sql.streaming.DataStreamWriter


NEW QUESTION # 95
Which of the following SQL keywords can be used to convert a table from a long format to a wide format?

  • A. PIVOT
  • B. CONVERT
  • C. WHERE
  • D. SUM
  • E. TRANSFORM

Answer: A

Explanation:
Explanation
The SQL keyword PIVOT can be used to convert a table from a long format to a wide format. A long format table has one column for each variable and one row for each observation. A wide format table has one column for each variable and value combination and one row for each observation. PIVOT allows you to specify the column that contains the values to be pivoted, the column that contains the categories to be pivoted, and the aggregation function to be applied to the values. For example, the following query converts a long format table of sales data into a wide format table with columns for each product and sum of sales:
SELECT *
FROM sales
PIVOT (
SUM(sales_amount) FOR product IN ('A', 'B', 'C')
)
References: The information can be referenced from Databricks documentation on SQL: PIVOT.
https://files.training.databricks.com/assessments/practice-exams/PracticeExam-DataEngineerAssociate.pdf
https://community.databricks.com/t5/data-engineering/practice-exams-for-databricks-certified-data-engineer/td-p


NEW QUESTION # 96
A single Job runs two notebooks as two separate tasks. A data engineer has noticed that one of the notebooks is running slowly in the Job's current run. The data engineer asks a tech lead for help in identifying why this might be the case.
Which of the following approaches can the tech lead use to identify why the notebook is running slowly as part of the Job?

  • A. They can navigate to the Tasks tab in the Jobs UI to immediately review the processing notebook.
  • B. They can navigate to the Runs tab in the Jobs UI and click on the active run to review the processing notebook.
  • C. They can navigate to the Tasks tab in the Jobs UI and click on the active run to review the processing notebook.
  • D. There is no way to determine why a Job task is running slowly.
  • E. They can navigate to the Runs tab in the Jobs UI to immediately review the processing notebook.

Answer: B


NEW QUESTION # 97
An engineering manager uses a Databricks SQL query to monitor ingestion latency for each data source. The manager checks the results of the query every day, but they are manually rerunning the query each day and waiting for the results.
Which of the following approaches can the manager use to ensure the results of the query are updated each day?

  • A. They can schedule the query to refresh every 1 day from the query's page in Databricks SQL.
  • B. They can schedule the query to refresh every 1 day from the SQL endpoint's page in Databricks SQL.
  • C. They can schedule the query to run every 1 day from the Jobs UI.
  • D. They can schedule the query to run every 12 hours from the Jobs UI.
  • E. They can schedule the query to refresh every 12 hours from the SQL endpoint's page in Databricks SQL.

Answer: A

Explanation:
Explanation
https://docs.databricks.com/en/sql/user/queries/schedule-query.html


NEW QUESTION # 98
Which of the following Structured Streaming queries is performing a hop from a Silver table to a Gold table?

  • A.
  • B.
  • C.
  • D.
  • E.

Answer: A

Explanation:
The best practice is to use "Complete" as output mode instead of "append" when working with aggregated tables. Since gold layer is work final aggregated tables, the only option with output mode as complete is option E.


NEW QUESTION # 99
......

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